Volume 76 May/2021

CLINICS

Editors

Editor-in-Chief Associated Editor Luiz Felipe Pinho Moreira José Maria Soares Junior Faculdade de Medicina da Universidade de São Paulo Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil São Paulo, SP, Brazil

Area Editors Ana Maria de Ulhoa Escobar Gustavo Franco Carvalhal Newton Kara-Junior Faculdade de Medicina da Universidade de São Paulo Faculdade de Medicina da Pontifícia Universidade Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil Católica do Rio Grande do Sul São Paulo, SP, Brazil Porto Alegre, Rio Grande do Sul, Brazil Anna Sara Shafferman Levin Nelson Wolosker Faculdade de Medicina da Universidade de São Paulo Heloisa de Andrade Carvalho Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil Hospital das Clínicas da Faculdade de Medicina São Paulo, SP, Brazil Universidade de São Paulo Antonio Egidio Nardi São Paulo, SP, Brazil Olavo Pires de Camargo Universidade Federal do Rio de Janeiro Faculdade de Medicina da Universidade de São Paulo Rio de Janeiro, RJ, Brazil Jesus Paula Carvalho São Paulo, SP, Brazil Faculdade de Medicina da Universidade de São Paulo Anuar Ibrahim Mitre São Paulo, SP, Brazil Paulo Hoff Faculdade de Medicina da Universidade de São Paulo Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil Joaquim Prado Moraes-Filho São Paulo, SP, Brazil Faculdade de Medicina da Universidade de São Paulo Berenice Bilharinho Mendonça São Paulo, SP, Brazil Paulo Pêgo-Fernandes Faculdade de Medicina da Universidade de São Paulo Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil José Guilherme Cecatt São Paulo, SP, Brazil Universidade Estadual de Campinas Bruno Zilberstein Campinas, SP, Brazil Roger Chammas Faculdade de Medicina da Universidade de São Paulo Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil Luiz Eugênio Garcez-Leme São Paulo, SP, Brazil Faculdade de Medicina da Universidade de São Paulo Carlos Serrano São Paulo, SP, Brazil Rosa Maria Rodrigues Pereira Faculdade de Medicina da Universidade de São Paulo Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil Luiz Fernando Onuchic São Paulo, SP, Brazil Faculdade de Medicina da Universidade de São Paulo Carmen Silvia Valente Barbas São Paulo, SP, Brazil Rossana Francisco Faculdade de Medicina Universidade de São Paulo Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil Lydia Masako Ferreira São Paulo, SP, Brazil Universidade Federal de São Paulo Claudia Regina Furquim de Andrade São Paulo, SP, Brazil Ruth Guinsburg Faculdade de Medicina Universidade de São Paulo Universidade Federal de São Paulo São Paulo, SP, Brazil Manuel Durán-Poveda São Paulo, SP, Brazil Faculty of Health Sciences, King Juan Carlos Uni- Claudio Roberto Cernea versity Sandro Esteves Hospital das Clinicas da Faculdade de Medicina da Móstoles, Madrid, Spain ANDROFERT - Andrology & Human Reproduction Universidade de São Paulo Clinic São Paulo, SP, Brazil Manuel Jesus Simões Campinas, SP, Brazil Universidade Federal de São Paulo Emilia Inoue Sato São Paulo, SP, Brazil Sergio Paulo Bydlowski Universidade Federal de São Paulo Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil Marcos Intaglietta São Paulo, SP, Brazil University of California, San Diego Fabio Biscegli Jatene San Diego, CA, USA Sigmar de Mello Rode. Faculdade de Medicina Universidade de São Paulo Universidade Estadual Paulista Júlio de Mesquita São Paulo, SP, Brazil Maria José Carvalho Carmona Filho Faculdade de Medicina Universidade de São Paulo São José dos Campos, SP, Brazil Flair José Carrilho São Paulo, SP, Brazil Universidade Federal de São Paulo Simone Appenzeller São Paulo, SP, Brazil Mauricio Etchebehere Universidade Estadual de Campinas Universidade Estadual de Campinas Campinas, SP, Brazil Fulvio Alexandre Scorza Campinas, SP, Brazil Universidade Federal de São Paulo Valéria Aoki São Paulo, SP, Brazil Michele Correale Faculdade de Medicina da Universidade de São Paulo University of Foggia São Paulo, SP, Brazil Geraldo Busatto Foggia, Italy Faculdade de Medicina da Universidade de São Paulo Wanderley Marques Bernardo São Paulo, SP, Brazil Naomi Kondo Nakagawa Faculdade de Medicina da Universidade de São Paulo Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil São Paulo, SP, Brazil Editorial board Abhijit Chandra Ernest Eugene Moore Milton de Arruda Martins King George’s Medical College University of Colorado Denver Faculdade de Medicina da Universidade de São Paulo Lucknow, India Denver, CO, USA São Paulo, SP, Brazil Adamastor Humberto Pereira Euclides Ayres Castilho Mitchell C. Posner Universidade Federal do Rio Grande do Sul Faculdade de Medicina da Universidade de São Paulo The University of Chicago Medical Center Porto Alegre, RS, Brazil São Paulo, SP, Brazil Chicago, IL, USA Adauto Castelo Fábio Biscegli Jatene Moyses Szklo Universidade Federal de São Paulo Faculdade de Medicina da Universidade de São Paulo Johns Hopkins Bloomberg School of Public Health São Paulo, SP, Brazil São Paulo, SP, Brazil Baltimore, USA Ademar Lopes Francisco Laurindo Navantino Alves Fundação Antônio Prudente, Hospital do Câncer Faculdade de Medicina da Universidade de São Paulo Faculdade de Ciências Médicas de Minas Gerais São Paulo, SP, Brazil São Paulo, SP, Brazil Belo Horizonte, MG, Brazil Alberto Azoubel Antunes Hiroyuki Hirasawa Noedir Antonio Groppo Stolf Faculdade de Medicina da Universidade de São Paulo Chiba University School of Medicine Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil Chiba, Japan São Paulo, SP, Brazil Alexandre Roberto Precioso Irismar Reis de Oliveira Pedro Puech-Leão Faculdade de Medicina da Universidade de São Paulo Faculdade de Medicina da Universidade Federal da Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil Bahia São Paulo, SP, Brazil Salvador, BA, Brasil Andrea Schmitt Peter Libby University of Goettingen Irshad Chaudry Brigham and Women’s Hospital Goettingen, Germany University of Alabama Boston, Boston, MA, USA Birmingham, AL, USA Arnaldo Valdir Zumiotti Philip Cohen Faculdade de Medicina da Universidade de São Paulo Ivan Cecconello University of Houston Health Center São Paulo, SP, Brazil Faculdade de Medicina da Universidade de São Paulo Houston, Texas, USA São Paulo, SP, Brazil Artur Brum-Fernandes Rafael Andrade-Alegre Université de Sherbrooke Ke-Seng Zhao Santo Tomás Hospital Québec, Canadá Southern Medical University Republic of Panamá, Panamá Guangzhou, China Carmita Helena Najjar Abdo Ricardo Antonio Refinetti Faculdade de Medicina da Universidade de São Paulo Laura Cunha Rodrigues Faculdade de Medicina da Universidade Federal do São Paulo, SP, Brazil London School of Hygiene and Tropical Medicine - Rio de Janeiro University of London Rio de Janeiro, RJ, Brazil Cesar Gomes Victora London, UK Faculdade de Medicina da Universidade Federal de Roberto Chiesa Pelotas Marcelo Zugaib San Raffaele Hospital Pelotas, RS, Brasil Faculdade de Medicina da Universidade de São Paulo Milan, Italy São Paulo, SP, Brazil Daniel Romero Muñoz Samir Rasslan Faculdade de Medicina da Universidade de São Paulo Marco Martins Amatuzzi Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil São Paulo, SP, Brazil Edmund Neugebauer Tarcisio Eloy Pessoa de Barros Witten/Herdecke University Maria Aparecida Shikanai Yasuda Faculdade de Medicina da Universidade de São Paulo Witten, North Rhine - Westphalia, Germany Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil São Paulo, SP, Brazil Eduardo Ferreira Borba Neto Valentim Gentil Faculdade de Medicina da Universidade de São Paulo Mauro Perretti Faculdade de Medicina da Universidade de São Paulo São Paulo, SP, Brazil William Harvey Research Institute São Paulo, SP, Brazil London, UK Egberto Gaspar de Moura Jr. Wagner Farid Gattaz Universidade do Estado do Rio de Janeiro Michael Gregory Sarr Faculdade de Medicina da Universidade de São Paulo Rio de Janeiro, RJ, Brazil Mayo Clinic São Paulo, SP, Brazil Rochester, MN, USA Board of Governors Alberto José da Silva Duarte Ivan Cecconello Paulo Rossi Menezes Aluisio Augusto Cotrim Segurado Jorge Elias Kalil Filho Pedro Puech-Leão Ana Claudia Latronico Xavier José Antonio Franchini Ramires Remo Susanna Jr. Anna Sara Shafferman Levin José Antonio Sanches Junior Ricardo Ferreira Bento Berenice Bilharinho de Mendonça José Eduardo Krieger Ricardo Nitrini Carlos Alberto Buchpiguel José Eluf Neto Roberto Kalil Filho Carlos Roberto Ribeiro de Carvalho José Otávio Costa Auler Júnior Roberto Zatz Clarice Tanaka José Pinhata Otoch Roger Chamas Claudia Regina Furquim de Andrade José Ricardo de Carvalho Mesquita Ayres Rogério de Souza Cyro Festa Neto Linamara Rizzo Battistella Rolf Gemperli Daniel Romero Muñoz Luiz Augusto Carneiro D’Albuquerque Rosa Maria Rodrigues Pereira Edivaldo Massazo Utiyama Luiz Fernando Onuchic Sandra Josefina Ferraz Ellero Grisi Edmund Chada Baracat Luiz Paulo Kowalski Selma Lancman Eduardo Magalhães Rego Magda Maria Sales Carneiro-Sampaio Sergio Carlos Nahas Eliane Schochat Manoel Jacobsen Teixeira Tarcísio Eloy Pessoa de Barros Filho Eloisa Silva Dutra de Oliveira Bonfá Marcelo Zugaib Uenis Tannuri Esper Georges Kallas Miguel Srougi Umbertina Conti Reed Euripedes Constantino Miguel Filho Milton de Arruda Martins Vanderson Geraldo Rocha Fábio Biscegli Jatene Mirian Nacagami Sotto Venâncio Avancini Ferreira Alves Flair José Carrilho Nelson da Cruz Gouveia Vicente Odone Filho Geraldo Busatto Filho Nelson de Luccia Wagner Farid Gattaz Gerson Chadi Olavo Pires de Camargo Werther Brunow de Carvalho Gilberto Luis Camanho Paulo Andrade Lotufo William Carlos Nahas Giovanni Guido Cerri Paulo Hilário Nascimento Saldiva Wilson Jacob Filho Irene de Lourdes Noronha Paulo Manuel Pêgo Fernandes Irineu Tadeu Velasco Paulo Marcelo Gehm Hoff

Editorial Director Editorial Assistants Kavita Kirankumar Patel-Rolim Daniela Aquemi Higa Nair Gomes

PUBLICATION INFORMATION AND that is described below. Failure to do so will cause the submis- EDITORIAL POLICIES sion to be returned to you during the preliminary examination by the Editorial Office. CLINICS is an electronic journal that publishes peer-reviewed articles in continuous flow, of interest to clinicians and Manuscript Categories researchers in the medical sciences. Registered with PubMed Central ORIGINAL ARTICLES: Complete original studies should (http://www.ncbi.nlm.nih.gov/pmc/journals/795/) be submitted in this category. Original studies must conform and SciELO (http://www.scielo.br/clinics), CLINICS com- to the following format: plies with the policies of funding agencies which request or require deposition of the published articles that they fund into • Title: Up to 200 characters publicly available databases. CLINICS supports the position • Running title: Up to 40 characters of the International Committee of Medical Journal Editors • Authors’ full names followed by their ORCID and con- (ICMJE) on trial registration. Please visit http://www.icmje. tributions to the article: Authors should have partici- org/ for further details and http://www.who.int/ictrp/network/ pated sufficiently in the work to take public respon- en/ for the WHO’s list of approved registries. sibility for appropriate portions of the content. Such participation must be declared in this section of the Gold Open Access Journal: Articles become freely accessible manuscript. as soon as they are published. • Any financial or other relationships that may lead to a conflict of interest. Plagiarism and Duplication: All articles are checked through • Abstract: Abstracts are limited to 250 words and struc- Similarity Check/iThenticate (http://www.ithenticate.com) to tured into objectives, method, results, and conclusions. ensure originality. Authors are strongly encouraged not to display numer- ical statistical information but to merely state what is All manuscripts must conform to specific study guidelines as significantly different (or not) between the described listed below: parameters. Please make sure to always include your Abstract in the main document file. • Clinical Trials should follow the CONSORT State- • Keywords: For keywords, 3-6 items from the Medical ment rules. Subject Headings (MeSh) should be used. • Observational Studies (Cohort, case-control, and • Introduction: The introduction should set the purpose cross-sectional studies) should follow the STROBE of the study, provide a brief summary (not a review) of Statement. previous relevant studies, and state the new advances • Systematic Reviews and Meta-Analysis should follow in the current investigation. The introduction should the PRISMA guidelines. not include data or conclusions from the work being • Diagnostic and Prognostic Studies should follow the reported. A final sentence summarizing the novel find- STARD guidelines. ing to be presented is permissible. • Animal and Clinical Study should follow the ARRIVE • Materials and Methods: This section should briefly give guidelines. clear and sufficient information to permit the study to be repeated by others. Standard techniques only need to be referenced. Previously published methods may be Conflict of Interest: Before submitting an article to CLINICS, briefly described following the reference. the contact author must fill out the ICMJE Conflict of Inter- • Ethics: When reporting experiments on human sub- est form (http://icmje.org/conflicts-of-interest). The form must jects, indicate whether the procedures were in accor- be included upon submission. dance with the ethical standards of the responsible committee on human experimentation (institutional Publication fees or regional) and with the Helsinki Declaration. When reporting experiments on animals, indicate whether the CLINICS uses a business model whereby expenses are part- institution’s guide, a national research council’s guide, ly recovered by charging the authors, or research sponsors, a or any national law on the care and use of laboratory publication fee for each published article. animals was followed. • Results: The results section should be a concise account Original Articles and Review Articles: US$ 1,700.00 (Inter- of the new information that was discovered, with the national authors) and R$ 3.000,00 (Brazilian authors). There least personal judgment. Do not repeat in text all the are no charges for Invited Reviews, Editorials and Comments. data in the tables and illustrations but briefly describe what these data comprise. Waiver Policy: Most institutions and funding agencies have set • Discussion: The discussion should include the signifi- up funding sources to cover Article Publication Costs. Unfor- cance of the new information and relevance of the new tunately, CLINICS cannot grant fee waivers. findings in light of existing knowledge. Only unavoid- able citations should be included. Citation to review Please make sure to submit your manuscript in the exact format articles are not encouraged in this section. • Conclusions • Acknowledgments: This section should be short, con- bear in mind that they are expected to have expertise in the cise, and restricted to acknowledgments that are nec- reviewed field. The sections should be arranged as follows: essary. • References should follow the standards summarized in • Title: Up to 200 characters the NLM’s International Committee of Medical Jour- • Running title: Up to 40 characters nal Editors (ICMJE). • Authors’ full names followed by their ORCID and con- • References in text: Cite references in the text using Ar- tributions to the article: Authors should have partici- abic numerals in the order of appearance, within pa- pated sufficiently in the work to take public respon- rentheses, (1) after the previous word, with spacing as sibility for appropriate portions of the content. Such in this example: “Diabetes (2), hypertension (3,4) and participation must be declared in this section of the alcoholism (5-9) are complex medical problems (10).” manuscript. Under exceptional circumstances, authors’ names may • Any financial or other relationships that may lead to a appear in text: Single author: “Einstein (11) proposed conflict of interest. a new theory …”, Two authors: “Watson and Crick • Abstract, keywords and text should be arranged to (12) reported on the structure of …”, or Three or more cover the subject that is being reviewed. authors: “Smith et al. (13) described …” • Abstract: Abstracts are limited to 250 words and • Reference List: Only citations that appear in the text should not be divided into sections. Please make sure should be referenced. References must be restricted to to always include your Abstract in the main document directly relevant published works, papers, or abstracts. file. Unpublished papers, unless accepted for publication, should not be cited. Work that is accepted for publica- Keywords: For keywords, 3-6 items from the Medical Subject tion should be referred to as “in press” and a letter of Headings (MeSh) should be used. acceptance of the journal must be provided. Authors are responsible for the accuracy and completeness of • If appropriate, the method of reference collection their references and for correct text citation. Usually should be described. the total number of references should not exceed 35. • The use of headings, subheadings, and paragraph titles For up to 6 authors, list all authors. For more than 6 is encouraged to improve clarity. authors, list first 6 authors followed by “et al.”. Sample • Abbreviations, acknowledgments, tables and figures references: https://www.nlm.nih.gov/bsd/uniform_re- should be formatted as described in the Original Ar- quirements.html ticles section. • Tables and Figures: Tables – Should be constructed us- • The number of references is at the discretion of the ing the table feature in your word processor or using a authors. spreadsheet program such as Excel. The tables should • No publication fee discount is allowed for sponta- be numbered in order of appearance in the text, using neously submitted review articles that are accepted for Arabic numerals. Each table should have a title and publication. an explanatory legend, if necessary. All tables must be referenced and succinctly described in the text. Under EDITORIALS: Editorials should cover broad aspects of no circumstances should a table repeat data that are medical or biological sciences. Such manuscripts are not sub- presented in an illustration. Statistical measures of mitted to peer review and are published at the discretion of variation (i.e., standard deviation or standard error) the editor. No publication fee is charged for this class of man- should be identified, and decimal places in tabular data uscripts. should be restricted to those with mathematical and statistical significance. Figures – Photographs, illustra- COMMENTS: Comments on a paper or relevant issues are tions, charts, drawings, line graphs, etc. are all defined welcome and will be published at the discretion of the editor. as figures. Number figures consecutively using Arabic No publication fee is charged for this class of manuscripts. numerals in order of appearance. Figure legend(s) should be descriptive and should allow examination Submission of the figure without reference to text. Images must be of professional quality and uploaded as *.tiff files. A copyright transfer form, signed by all authors, must be up- Generally, figures will be reduced to fit one column of loaded as a complementary file as soon as the manuscript is text. The actual magnification of all photomicrographs submitted. Click here to download the Copyright Transfer should be provided, preferably by placing a scale bar Form. on the print. Line graphs and charts should never be sent as *.jpeg illustrations. We recommend preparing Please do not change the original list of authors sent upon line graphs and charts as Excel® files and copying submission. The inclusion or exclusion of any author would these files into a Word *.doc sheet. lead to a reversal of the original decision.

When authors are certain that the manuscript complies with REVIEW ARTICLES: Review articles should cover themes the journal format, please click on the submission button and that are relevant to medical practice. Spontaneously submit- you will be directed to our manuscript submission site. ted reviews are welcome; however, potential authors should The system will guide authors through the manuscript submission process and will prompt authors to input information into specific fields as they are submitting their manuscript. The editorial office and authors will be automatically notified of the submission. Progress of the manuscript will be available to authors at all times.

Peer Review

Manuscripts are reviewed by at least two expert consultants.

Virtual

2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

March 3-5, 2021

h﬙ps://www.redcapbrasil.com.br/redcapcon/en/

CONTENTS

ORGANIZATION – 4

INTERNATIONAL SPEAKERS AND MODERATORS – 5

BRAZILIAN SPEAKERS AND MODERATORS – 7

BRAZILIAN REDCAP-CONSORTIUM – 10

EDITORIAL – 11

ABSTRACTS – 13

AUTHOR INDEX – 53

3 ORGANIZATION

Organizing Committee: Scientific Committee:

• Roberto Costa • Katia Regina da Silva (Universidade de São Paulo, SP) (Consórcio REDCap-Brasil) • Katia Regina da Silva • Jacson Barros (Consórcio REDCap-Brasil) (Departamento de Informática do SUS - DATASUS, • Marcia Mitie Nagumo Distrito Federal, Brasil) (Consórcio REDCap-Brasil) • Roberto Costa • Jéssica Moretto Crivelari (Universidade de São Paulo, SP) (Consórcio REDCap-Brasil) • Luiz Felipe Pinho Moreira • Jacson Barros (Universidade de São Paulo, SP) (Departamento de Informática do SUS - DATASUS, • Geraldo Busatto Filho Distrito Federal, Brasil) (Universidade de São Paulo, SP) • Fernando Shiguemichi • Emmanuel de Almeida Burdmann (Consórcio REDCap-Brasil) (Universidade de São Paulo, SP) • Eduardo Abrantes • Paul Harris (Hospital Sírio Libanês, SP) (Vanderbilt University, EUA) • Ricardo Reis • Rob Taylor (Hospital de Amor, Barretos) (Vanderbilt University, EUA) • Brenda Minor (Vanderbilt University, EUA) • Stephanie Duda (Vanderbilt University, EUA)

Organized by • Ceci Chamorro (Duke University, EUA) • Amanda Miller Partners (University of Colorado, EUA) • Cristobal Carvajal (Universidad del Desarrollo, Chile) • Mariano De Stefano Parma (Fundacion Huesped, Argentina)

Organized by

PartnersSponsors

Sponsors INTERNATIONAL SPEAKERS AND MODERATORS

ALVARO A. ALVAREZ AMANDA MILLER ANDY ARENSON BAS DE VEER Stanford Medicine Technology and University of Colorado, Denver, Indiana University, Indianapolis, University of Washington, Seattle, Digital Solutions, California, USA USA USA USA

BRENDA MINOR CECI CHAMORRO CHRISTOPHER M KADOLPH CRISTOBAL CARVAJAL Vanderbilt University, Tennessee, Duke University, North Carolina, Marshfield Clinic Research Universidad del Desarrollo, USA USA Institute, Wisconsin, USA Santiago, Chile

EDUARDO MORALES GABRIEL ODOM JENNIFER MAUCK LEILA DEERING Massachusetts General Brigham, Florida International University, University of Colorado, Denver, Marshfield Clinic Research Boston MA, USA University of Miami, USA USA Institute, Wisconsin, USA

LUIS FELIPE REYES MARIA VIRGINIA KULIK MARIANO DE STEFANO MICHELLE FERNANDEZ VELASCO Garrahan Hospital, Buenos Aires, PARMA Vanderbilt University, Tennessee, Universidad de La Sabana, Chia, Argentina Fundacion Huesped, Buenos Aires, USA Colômbia Argentina

5 PAUL HARRIS RAYMOND BALISE ROB TAYLOR STEPHANY DUDA Vanderbilt University, Tennessee, University of Miami, Flórida, Vanderbilt University, Tennessee, Vanderbilt University, Tennessee, USA USA USA USA

VICTOR ESPINOSA Vancouver Island Health Authority, British Columbia, Canadá

6 BRAZILIAN SPEAKERS AND MODERATORS

ADRIANO PEREIRA ALEXANDRE XAVIER DA CAMILA SAMPAIO CAUANE BLUMENBERG Hospital Israelita Albert Einstein, SILVA Hospital Sírio-Libanês, São Paulo, Universidade Federal de Pelotas, São Paulo, Brazil Hospital do Coração, São Paulo, Brazil Rio Grande do Sul, Brazil Brazil

CLEYTON ZANARDO DE CRISTIANE CAMILO DANILO VASCONCELOS DAVI ROCHA OLIVEIRA HERNANDEZ Universidade Presbiteriana Hospital das Clínicas da Faculdade Hospital Beneficência Portuguesa, Faculdade de Ciências Médicas Mackenzie, São Paulo, Brazil de Medicina da Universidade de São Paulo, Brazil da Santa Casa de São Paulo, São São Paulo – HCFMUSP, São Paulo, Brazil Paulo, Brazil

EDUARDO ABRANTES ELIAS CESAR ARAÚJO DE FABIANA DE LIMA VAZQUEZ FERNANDO ANTONIO Hospital Sírio-Libanês, São Paulo, CARVALHO Hospital de Amor de Barretos, São BASILE COLUGNATI Brazil Universidade Estadual de Paulo, Brazil Universidade Federal de Juiz de Maringá, Parana, Brazil Fora, Minas Gerais, Brazil

7 GERALDO BUSATTO FILHO ITIANA CARDOSO JACSON VENÂNCIO BARROS JÉSSICA MORETTO Faculdade de Medicina da MADALENA Departamento de Informática CRIVELARI Universidade de São Paulo – Hospital Moinhos de Vento, Porto do SUS – DATASUS, Distrito Brazilian REDCap-Consortium, FMUSP, São Paulo, Brazil Alegre, Brazil Federal, Brazil São Paulo, Brazil

JIHAN ZOGHBI JOÃO PAULO FERNANDES KARLYSE BELLI KATIA REGINA DA SILVA ABCIS, São Paulo, Brazil Universidade de Brasília, Distrito Hospital Moinhos de Vento, Rio Brazilian REDCap-Consortium, Federal, Brazil Grande do Sul, Brazil São Paulo, Brazil

LIVIA MEGA LUCIANA HADDAD LUIZ FERNANDO REIS LUIZ GUSTAVO GASPARINI Hospital AC Camargo, São Paulo, Faculdade de Medicina da Diretor de Ensino e Pesquisa do KIATAKE Brazil Universidade de São Paulo – Hospital Sírio Libanês, São Paulo, Sociedade Brasileira de FMUSP, São Paulo, Brazil Brazil Informática em Saúde, SBIS, São Paulo, Brazil

MARCIA MITIE NAGUMO MARCO ANTÔNIO DE MARCOS ALVES DE LIMA MARGARETH CATOIA Brazilian REDCap-Consortium, OLIVEIRA Hospital de Amor de Barretos, São VARELA São Paulo, Brazil Hospital de Amor de Barretos, São Paulo, Brazil Fundação Oswaldo Cruz – Paulo, Brazil FIOCRUZ, Rio de Janeiro, Brazil

8 MARIA JOSE CARMONA MATEUS FREDERICO DE RAFAEL VANHOZ REJANE FARIA RIBEIRO- Faculdade de Medicina da PAULA Hospital de Amor de Barretos, São ROTTA Universidade de São Paulo – Hospital de Amor de Barretos, São Paulo, Brazil Universidade Federal de Goiás, FMUSP, São Paulo, Brazil Paulo, Brazil Goias, Brazil

RICARDO DOS REIS RICARDO PERUSSI ROBERTO COSTA RODRIGO BASILIO Hospital de Amor de Barretos, São Faculdade de Medicina da Faculdade de Medicina da Instituto D’Or de Ensino e Paulo, Brazil Universidade de São Paulo Universidade de São Paulo – Pesquisa, Rio de Janeiro, Brazil FMRP-USP, São Paulo, Brazil FMUSP, São Paulo, Brazil

ROGÉRIO BOROS SABRINA BERNARDEZ TARCÍSIO ELOY PESSOA DE THAIS TALARICO Microsoft, Distrito Federal, Brazil Hospital do Coração, São Paulo, BARROS FILHO HOSOKAWA Brazil Diretor da Faculdade de Medicina Hospital Israelita Albert Einstein, da Universidade de São Paulo – São Paulo, Brazil FMUSP, São Paulo, Brazil

VILSON COBELLO JÚNIOR WAGNER ANDRADE Hospital das Clínicas da Faculdade dataRain Consulting, São Paulo, de Medicina da Universidade de Brazil São Paulo – HCFMUSP, São Paulo, Brazil

9 BRAZILIAN REDCAP-CONSORTIUM

KATIA REGINA DA SILVA JÉSSICA MORETTO MARCIA MITIE NAGUMO ROBERTO COSTA Brazilian REDCap-Consortium, CRIVELARI Brazilian REDCap-Consortium, Faculdade de Medicina da Sao Paulo, Brazil Brazilian REDCap-Consortium, Sao Paulo, Brazil Universidade de São Paulo – Sao Paulo, Brazil FMUSP, Sao Paulo, Brazil

FERNANDO SHIGUEMICHI SARAH SAUCEDO LAÍSA DE ARRUDA SILVA MARIA CÉLIA BARROS DA Brazilian REDCap-Consortium, Brazilian REDCap-Consortium, Brazilian REDCap-Consortium, SILVA Sao Paulo, Brazil Sao Paulo, Brazil Sao Paulo, Brazil Brazilian REDCap-Consortium, Sao Paulo, Brazil

10 EDITORIAL

Seventeen years since REDCap (Research Electronic Data Capture) was launched by Paul Harris (Vanderbilt Institute for Clinical and Translational Research, United States), this software has forever changed the way researchers collect, manage and store data derived from academic studies. To date, more than 5,060 non-profit institutions representing 141 countries have adopted REDCap and, nearly 13,700 research studies using this robust platform have been published in peer-reviewed journals. Since 2009, the REDCap Consortium organizes an Annual Conference (REDCapCon) specifically designed for REDCap administrators and the technology personnel that supports REDCap in their institutions. More recently, “REDCapCons” have been held by Local Consortium initiatives in countries such as Australia, Brazil, Japan, and South Africa. The Second Latin American and Brazilian REDCapCon was organized by the Brazilian REDCap Consortium in partnership with the University of São Paulo Medical School and Hospital Sírio Libanês. The conference took place from March 3 to 5, 2021 and it was 100% virtual due to the COVID-19 pandemic restrictions. During this three-day conference, the attendees were exposed to a great deal of information, exchange of ideas, and a wide range of opinions about databases in the scientific research world and clinical practice scenarios. REDCap experts, researchers, professors, students, colleagues, and professionals from different countries have been gathering together with one goal in mind: to make the REDCap Community increasingly relevant to the challenges of science. More than an honor, it is a great pleasure to have the abstracts presented during the Second Latin American and Brazilian REDCapCon published in Clinics Journal. In this Supplement, you will find very interesting cases of REDCap applied in different scenarios. We hope that the abstracts presented at the conference could be a source of educational enhancement for you. On behalf of the Second Latin American and Brazilian REDCapCon, we would like to thank all of the attendees, speakers and moderators for their commitments which contributed to the success of our conference.

With warm regards,

Katia Regina da Silva Roberto Costa Brazilian REDCap Consortium University of São Paulo Medical School

2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

ABSTRACTS

A 02 REDCAP AS AN INSTRUMENT FOR DATA COLLECTION AND MANAGEMENT TO GENERATE HEALTH CARE INDICATORS Rose Mary Frajtag, Instituto Nacional de Cardiologia; Helena Cramer Veiga Rey, Instituto Nacional de Cardiologia; Isabel Cristina da Nóbrega, Instituto Nacional de Cardiologia; Tereza Cristina Felippe Guimarães, Instituto Nacional de Cardiologia.

BACKGROUND: The National Institute of Cardiology (INC) is a national center of the Ministry of Health, a reference in cardiovascular care, and plays an important role in teaching, research and technological development activities. The Operational Re- search Unit (OP), together with the Nursing Division of INC, developed safety and quality indicators in patient care and hospital management to support decision making. OBJECTIVES: The aim of the study was to improve care for patients with cardiovascular disease, add value to care and optimize the use of human resources involved in care. METHODS: The methodology used was divided into four (4) stages: In the first stage, a literature review of the indicators was performed. Subsequently, meetings were held with experts in the area of the Quality and Safety Center and with the coordinators of the Nursing Units of INC. Fifteen indicators were selected, among them Incidence of phlebitis and prevalence of pressure ulcers. In the third, the variables that would be used to develop the indicators were selected. In the final stage, a database was developed on the REDCap digital platform for storage and management of quality and safety indicators. Validation rules were created to facilitate evaluation in the search for inconsistent data to contribute to the management. RESULTS: The use of REDCap enabled the collection and evaluation of clinical data, monitoring, management and traceability of the information collected, as well as optimizing the analysis of results. CONCLUSION: The study showed that with the development of safety and quality indicators it was possible to identify points to be improved in patient care, as well as improve decision making. The REDCap digital platform contributed to the management of these indicators, collaborating with the final analysis of the results. KEYWORDS: Healthcare; Indicators; REDCap; Cardiovascular Care; Operational Research. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 04 IMPROVEMENT OF PROCESSES AND RESULTS THROUGH THE QUALITY MEETING WITH THE SUPPORT OF DATA MANAGEMENT IN REDCAP Jairo Moreira, Luciana Haddad, Daniele Quagliano, Juliana Marquezi, Liliana Lopes, Rodrigo de Martino, Vinicius Santos, Lucas Souto, Rafael Nunes, Rubens Macedo, Wellington Andraus, Luiz D’Albuquerque, University of São Paulo School of Medicine

BACKGROUND: The information availability in real time supported by valid and reliable data assists in decision-making and is also essential for the objective analysis of a critical health situation. Before this complexity, the Liver and Digestive System Transplant Service at the Hospital das Clinicas of the Faculty of Medicine of the University of São Paulo (HCFMUSP) needed a repository so due to obtain data, so looked for REDCap to find the solution. OBJECTIVES: To extract data from the REDCap in the short, medium and long term to bring forth quality indicators in the service program. METHODS: Collect data from the projects created through previously customized reports and analyze them in real time; export of data in various formats; periodic assignment of quality meeting for performance evaluation, designation of a responsible person to mediate and manage the data generated. RESULTS: Indicators were measured as insights for possible decision-making, such as: ischemia time / surgery time / length of hospital stays by MELD, among others, performance evaluation through dynamic graphics available online in the software RED- Cap export data to different formats, but there was a lack of software interoperability with other platforms, such as integration with PEP (Electronic Patient Record). CONCLUSION: the quality program has been shown to be paramount importance for the improvement and efficiency of the assistance provided and with the contribution of the REDCAP in real practice. KEYWORDS: Health indicators; Quality in health; Clinical record; Redcap. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 05 REDCAP: FEASIBILITY TO GENERATE QUALITY INDICATORS IN HEALTH CARE OF A TEACHING HOSPITAL Marianne Yumi Nakai, Faculdade de Ciências Médicas da Santa Casa de São Paulo; Marcelo Benedito Menezes, Faculdade de Ciên- cias Médicas da Santa Casa de São Paulo; Cristiane Camilo Hernandez, Faculdade de Ciências Médicas da Santa Casa de São Paulo; Antonio José Gonçalves, Faculdade de Ciências Médicas da Santa Casa de São Paulo

BACKGROUND: Quality indicators and clinical data for research are important for any health institution, especially for teaching

13 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

hospitals. Software’s of electronic medical records are developed to administrative purposes and generates poor quality data for research and quality indicators. Trustful data are essential to develop reliable results. OBJECTIVES: Develop a REDCap instrument do collect clinical data of head and neck surgery disorders with purpose of generate quality indicators and research database in a teaching hospital. METHODS: Prospective study of development and implementation of a REDCap instrument to collect clinical data in attendance routine in head and neck surgery department of a teaching hospital. The researchers were trained in REDCap platform and after they felt comfortable with the software management it was proceeded the development of the instruments. The structure of the project inside the REDCap platform were developed to follow the steps that patient go through inside the clinics - diagnosis, treatment and follow up. Medical residents, fellows and assistant physicians were trained to use the instruments. Several updates and bug fix were doing in these periods. This study was approved in ethical board and all the data included had the informed consent term signed by the patients. RESULTS: We successfully developed an easy use instrument to collect clinical data of patients with head and neck surgery disorders. Medical residents, fellows and assistant physicians accepted and adopted the new tool in attendance routine. The collected data and the REDCap platform provide several real time quality indicators and potential research database. CONCLUSION: The REDCap platform can be used in attendance routine to generate quality indicator and reliable research database. KEYWORDS: Quality Indicators; Health Care Head and Neck Neoplasms Database Management Systems. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 06 OPTIMIZATION OF THE USER CREATION PROJECT AT BARRETOS CANCER HOSPITAL, USING THE EXTER- NAL MODULE MATRIX QUESTION RANDOMIZATION Rafael Vanhoz Ribeiro, Barretos Cancer Hospital; Isabela Queiros Castro, Albert Einsten; Ricardo dos Reis, Barretos Cancer Hospi- tal; Roberto Ferreira Fernandes, Barretos Cancer Hospital; Marco Antonio de Oliveira, Barretos Cancer Hospital.

BACKGROUND: Barretos Cancer Hospital has 889 active REDCap users. We have a REDCap committee with 14 members for setting the use rules on REDCap Platform. With the goal to present the REDCap for the people before creating the login user, the employees need to take a test about the REDCap. We offer the videos recorded in order to help them to take the test. OBJECTIVES: To use the Matrix Question Randomization on the test for creating different questions sequence each time the test is taken. METHODS: We created the Project on REDCap with 5 forms and enabled the survey settings. * In the first the person fills out with only two information: name and e-mail. The second form is sent to the e-mail. * In the second the person has access to videos to watch if necessary and in the third has access to test. - The questions were created in matrix format and the External Module Matrix Question Randomization was configured for creating different questions sequences each time it’s taken. * In the fourth we created the one auxiliar variable for each question and we use them to calculate the final score at the end of the test. * In the fifth there is administrative information. RESULTS: The main difference between the last used project and the current project is the use of the Matrix Question Randomiza- tion. Ever since, there have been 302 attempts to create the REDCap users and 195 (64,6%) reached the necessary score (>= 80%). CONCLUSION: The use of Matrix Question Randomization in this project became the process safer and to help the committee in the training the future users. KEYWORDS: External Module; Matrix; Randomization; Barretos; Committee. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap end-users support and/ or training strategies

A 07 USING REDCAP SURVEY AS CONSULTATION TOOL FOR OPERATIONAL AND CLINICAL ANALYSIS PROTO- COLS AT THE BARRETOS CANCER HOSPITAL Rafael Vanhoz Ribeiro, Hospital de Câncer de Barretos, Marcos Alves de Lima, Hospital de Câncer de Barretos, Daniel Antunes Moreno, Hospital de Câncer de Barretos.

BACKGROUND: The Barretos Cancer Hospital uses REDCap as the main data collection tool for academic research and indicators, however, there is a flaw related to the acquisition and formalization of operational protocols and clinical analysis, as occurs in areas such as Molecular Genetics and Cell Culture, and it would be necessary to create an informative and centralized tool. OBJECTIVES: This work sought to verify the possibility for use REDCap as a platform for centralizing operational protocols for consultation. METHODS: Initially, a survey-type bank was created with buttons for choosing the area and the type of technique and 4 different protocols were inserted, and a public link was made available for some participants to test. Each protocol has a reviewer with the name and date of the review. As it is for consultation only, no record was created. RESULTS: The test result was satisfactory and was well received by users. CONCLUSION: It is expected that the platform will be included as a link on the institutional intranet and that it will serve as a reference for consulting documents for current and future employees and students. KEYWORDS: Protocols; Survey; Consultation Platform; Molecular Biology.

14 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 09 PERSONAL LIBRARY: A NEW PERSPECTIVE FOR THE REDCAP PLATFORM Lívia Loamí Ruyz Jorge de Paula, Barretos Cancer Hospital; Mateus Frederico de Paula, Holy House of Mercy of Barretos

BACKGROUND: Researchers, when they find studies or other materials with innovative information or even when they want to use them in future discussions when writing an article, are in the habit of saving them on their computers, cloud accounts, e-mails or elsewhere, often being disorganized and difficult to locate when necessary. OBJECTIVES: Report the experience of using REDCap as a Personal Library. METHODS: Initially, an instrument was created that contained the data of the material to be organized (title, data of the journal or editor, data of the publication, keywords or descriptors, summary of the material, observations about the article and upload location). Subsequently, reports were created according to the characteristics of the articles that the researcher would like to find. RESULTS: In the records of the articles, it was realized that the data collection form could be used as annotation structures. In addition, through the reports, it was possible to separate the articles by publication period, area, subject, theme, and content, which also facilitated the time to find references during the writing of scientific articles - which showed its power to be shaped according to with the area and the organizational characteristic of each researcher. As the REDCap platform is easy to access, not only on computers but also on cell phones and tablets that are accessible to the internet, it was possible to improve the availability of materials in department meetings and reading them in other places, such as airports, among others. CONCLUSION: The REDCap platform has been shown to be effective in organizing scientific articles and other materials within a Personal Library, being easily accessible and being able to be shaped according to the researcher’s characteristics. KEYWORDS: Libraries; Electronic data capture; Directories of Projects; Medical informatics. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 10 THE USE OF THE REDCAP PLATFORM IN MANAGING THE AUTHORIZATION AND DISPENSING OF NON-STANDARD DRUGS IN A HOSPITAL PHARMACY Mateus Frederico de Paula, Holy House of Mercy of Barretos; Lívia Loamí Ruyz Jorge de Paula, Barretos Cancer Hospital; Marcus Monteiro, Holy House of Mercy of Barretos

BACKGROUND: One of the challenges encountered in hospital pharmacy in Brazil is the management of drugs dispensing. Only products included in the list of standardized drugs are purchased on a scheduled basis and are therefore available for use. Non-standard drugs require a specific authorization and purchase process. In view of this need, an easy-to-use tool was sought that would provide further analysis too. OBJECTIVES: Describe the experience of the pharmacy in the creation and use of a database on the REDCap platform for the management of authorization and dispensing of non-standard drugs in the institution. METHODS: The project was structured with a non-standardized drug request instrument that contains the basic information of the patient (name, hospitalization record and hospitalization unit) and drug data (generic name, presentation, dosage and estimated time of use, in addition to clinical condition and justification for request). The prescribers fill out the form and deliver it to the pharmacy, which will go through analysis and approval of the necessary authority. After authorization, pharmacists post the data on REDCap. A web page was developed in PHP language that obtains REDCap information via API - a page that is available on all pharmacy computers so that everyone has access to authorizations in real-time. RESULTS: After the beginning of the use of this tool, it was possible to have greater control over authorizations for non-standardized drugs and greater speed in the delivery of these to nursing. It was also possible to analyze which items were requested most frequently, which could serve as a basis for the standardization of new items. CONCLUSION: The REDCap platform proved to be an effective tool for managing authorization and dispensing non-standardized drugs, providing greater agility in nursing care and also providing data for management analysis. KEYWORDS: Hospital Pharmacy Service; Electronic data capture; organization and administration; Standardization. PRESENTATION: Oral Presentation SECTION: REDCap for monitoring quality indicators or operational projects

A 13 REDBOX: A COMPREHENSIVE FRAMEWORK FOR DATA COLLECTION IN TUBERCULOSIS RESEARCH Vinícius Lima, Ribeirão Preto Medical School, University of São Paulo, Brazil; Márcio Filho, Ribeirão Preto Medical School, Univer- sity of São Paulo, Brazil; Filipe Bernardi, Ribeirão Preto Medical School, University of São Paulo, Brazil; Francisco Júnior, Ribeirão Preto Medical School, University of São Paulo, Brazil; Domingos Alves, Ribeirão Preto Medical School, University of São Paulo, Brazil; Rui Rijo, School of Technology and Management, Polytechnic Institute of Leiria, Leiria, Portugal; Afrânio Kritski, Medical School, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil; Rafael Galliez, Medical School, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

15 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

BACKGROUND: Data collection is one of the most crucial moments in all types of research projects. To bring quality to data, it is essential the use of a reliable and easy to use electronic data capture (EDC) system to ensure compliance with medical data privacy, security, and regulations, while improving data quality and reducing time and costs. Also, researchers need to be able to work within different and, sometimes, challenging contexts, such as in studies related to Tuberculosis, a neglected disease. Resources for research may be rare and the costs to use an EDC could be a limitation. OBJECTIVES: This work aims to present REDbox, a comprehensive framework based on REDCap and KoBoToolbox to enhance data collection and management in low resources fields, while providing a better user experience. METHODS: The initial conceptualization of the proposed solution was based on needs pinpointed by researchers. After identifying challenges and gaps, a solution was proposed to tackle them, considering its relevance for Tuberculosis studies. REDCap is used for research data storing and its management. KoBoToolbox enables forms building and online and offline data collection in a human readable format. An integrator for interoperability purposes and synchronization between REDCap and KoBoToolbox was proposed. RESULTS: Metadata enables the integration of both systems, which can be managed through the Admin System. The converter module preserves fields types, names, labels, and notes, as well as validation rules and branching/skip logic. Data collected through KoBoToolbox forms are instantly submitted to the integrator. Then, after extracting and transforming the data, it is loaded into REDCap using its programming interfaces and advanced modules. CONCLUSION: The use of reliable, interoperable, and easy-to-use tools to deliver a satisfactory user experience is essential. When focusing on positive aspects of each tool, the negative ones can be mitigated, empowering researchers with reliable features able to enhance data KEYWORDS: Tuberculosis; Health Services Research; Data Collection; Medical Informatics. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 14 THE INTRODUCTION OF REDCAP AS A VIABLE APPROACH FOR IMPLEMENTING A TRAUMA REGISTRY IN GUATEMALA Allan Vásquez MSc, Universidad Francisco Marroquin; Sabrina Asturias MD MSc, Universidad Francisco Marroquin; María Isabel Luna MD MSc, Universidad Francisco Marroquin; Miguel Angel Siguantay MD MSc, Chief of Emergency Hospital Roosevelt; Juan Carlos Puyana MD FACS University of Pittsburgh PA

BACKGROUND: Countries with the highest burden of trauma typically lack both the infrastructure to have an integrated trauma system and the resources for a trauma registry. This leads to a dearth of information on the burden of trauma. Without clear data on injury epidemiology, it is not possible to create targeted prevention policies, thus perpetuating a cycle of injury and violence. Data obtained from a trauma registry can guide healthcare providers and legislators to establish a coordinated approach to trauma care. OBJECTIVES: To standardize, reduce missing data and increase traceability of information on trauma cases in the emergency department transmitting and storing information securely through the REDCap platform. METHODS: A trauma registry was created on REDCap hosted at Universidad Francisco Marroquin’s servers and deployed at Hospital Roosevelt, one of the busiest trauma centers of Guatemala. Four data collectors were hired to work 24 hours shifts. iPad devices were used to collect data with the REDCap Mobile App. A cellular data connection was used to send the data to the server. RESULTS: The registry was initiated successfully in October 2019. During this 4-month period, 381 trauma patients were admitted; 84.7% were male, the mean age was 33.1(±15.5) years, 40.5% required surgery, 18% had brain trauma. Mortality was 18.7% and the average length of stay was 5.2 days. The most common mechanism of trauma was motorcycle accidents (28.9%), followed by pedestrian run over (18.1%), gunshot wounds (17.1%) and car accidents (14.7%). CONCLUSION: In low-middle income countries, the need for better planning and adequate use of resources is paramount. There is an urgent need to understand the true burden of disease that injury represents for Guatemala. This may be accomplished through the collection and analysis of high-quality data on injuries and trauma, where REDCap provides a viable solution. KEYWORDS: Trauma registry; Injury surveillance; Information Science; Quality improvement. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 15 AN R BASED SEMI-AUTOMATIC TOOL TO IMPORT DATA FROM A HOSPITAL REGISTRY DATABANK TO REDCAP Luciana Rodrigues Carvalho Barros, Universisty of São Paulo; Diogo Dias de Araújo, Universisty of São Paulo; Maria José Ferreira Alves, Universisty of São Paulo; Ana Paula Alencar de Lima Lange, Universisty of São Paulo; Diego Lima, Universisty of São Paulo; Miyuki Uno, Universisty of São Paulo;Roger Chammas, Universisty of São Paulo.

BACKGROUND: Biobank is a dynamic structure based on collection of biological samples according to the demand of research projects and to Institutional interests, being able to adapt to every new project. A system to register all types of samples, processing, and patients’ clinical data must be dynamic and easy to use by the staff of Biobank. The hospital uses medical record system Tasy (Phillips) with a biobank module. Unfortunately, it does not suit biobank needs and additionally Excel sheet was used to sample management. OBJECTIVES: Create a biobank databank, build new fields on REDCap, and import all biobank data from Tasy.

16 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

METHODS: A report from Tasy was created and exported in “csv” format. An in-house script was developed in R language to convert the exported file to the REDCap import format (“csv”). RESULTS: A REDCap project containing almost 2,000 data fields was created with ICHOM variables names whenever possible, allowing data sharing with scientific projects according to the ethical rules. More than 5,000 patients’ information was downloaded, converted by R script (within less than 10 minutes), and uploaded at REDCap. At every new project entry or Tasy update, the script includes the new project and clinical data on the REDCap import table, including data quality rules embedded in the script. Several reports were created to suit monthly and project reports. The biobank team is testing REDCap, decreasing time and errors. Also, REDCap facilitates the use of collected material data to be assigned to new projects and connects to the Hospital Registry system. External researchers can consult biobank data safely. CONCLUSION: We developed an in-house R script that updates samples and clinical patient data semi-automatically from Tasy into REDCap, performs data quality rules and generates error reports. The new biobank databank is dynamic, safe, fast and user-friendly. KEYWORDS: Databank; Biobank; Data Management. PRESENTATION: Oral Presentation SECTION: REDCap Interoperability and/or IT infrastructure

A 19 RUTA: REGISTRO ÚNICO TELEACV / TELEACV UNIQUE REGISTRY. ONE YEAR OF A SUCCESSFUL MODERNI- ZATION CASE STUDY Mirya Arévalo, Servicio de Salud Metropolitano Sur; Eloy Mansilla, Servicio de Salud Metropolitano Sur, Facultad de Medicina Uni- versidad de Chile, Clínica Alemana de Santiago; Enrico Mazzon, Servicio de Salud Metropolitano Sur, Clínica Alemana de Santiago, Facultad de Medicina Clínica Alemana - Universidad del Desarrollo; Diego Rojas, Servicio de Salud Metropolitano Sur

BACKGROUND: Unidad TeleACV is a telestroke Unit of Servico de Salud Metropolitano Sur, Santiago, Chile. It provides access to seven remote hospitals to prompt neurological consultation for acute stroke. This procedure follows specific protocols and indicators that need to capture reliable data. Data recollection used to be paper based, so it needed to be modernized. REDCap was selected to build Unidad TeleACV Registry (RUTA). OBJECTIVE: Implement a standardized and specific data capture process to be used simultaneously with the neurological evaluation, to ensure robust, precise, errorless, and auditable data, and facilitate administrative tasks, research and clinical registry. METHODS: National and international Stroke and TeleStroke clinical guidelines were analyzed. Variables were selected and a custom entry form was sketched. The instruments designed were iterated and re-evaluated. When the final version was ready, collection started, first using both the REDCap system and the paper-based system and then RUTA exclusively. RESULTS: During the first year of implementation some registers were transcripted from paper. The second year all the data was collected during the clinical evaluation. During the years, the amount, quality, precision and availability of data collected was improved. The process of capturing and processing the data was more efficient and consistent and a strong dataset is now available for research. Medical staff were good adopters and when RUTA wasn’t available due to incidents, they considered it a limitation, as clinical evaluation and clinical records were facilitated when using RUTA. Small changes have been made to the instruments, to adapt to changes associated with the pandemic. CONCLUSION: It was possible to implement a data capture process using REDCap with consistent results after two years of use. Because of the success of the strategy REDCap is being used in new projects. KEYWORDS: data collection, stroke, telemedicine, clinical research, modernization, information system PRESENTATION: Best Abstract Session SECTION: REDCap for monitoring quality indicators or operational projects

A 21 EVOLUTION OF A SIMPLE MECHANICAL RESONANCE SECURITY FORM USED FOR RESEARCH IN AN IMPOR- TANT EDUCATIONAL TOOL AND AN ADMINISTRATIVE REPOSITORY FOR ALL HOSPITAL PROFESSIONALS Khallil Taverna Chaim, HCFMUSP Inrad University of São Paulo; Rosana Aparecida De Oliveira Maurelli, HCFMUSP Inrad Uni- versity of São Paulo; Maria Concepcion Garcia Otaduy, HCFMUSP Inrad University of São Paulo;

Generally, researchers are not part of an institution’s staff. Some places where they carry out their research have rules and access control, as in the case of MRI services. Due to the risks to patients and staff resulting from the intense magnetic field, restrictions and lessons on risks and effects are used as an important risk and accident reduction measure. In order for researchers to be able to move safely in this environment, specific initiatives were applied to this specific group, with face-to-face classes and forms to consolidate the concepts. Considering the demands and needs of the research, an evolution of the platform for interaction with the researcher was improved, transforming the face-to-face classes into video-lessons with clarifications on security and integration with assessment forms in a unified and standardized flow. After a serious accident on one of the institution’s MRI equipment, accident assessment meetings showed a weakness involving all employees of the institution and the flows in these controlled areas. Based on the research efforts in the elaboration of a standardized management and evaluation flow in basic security in magnetic resonance, changes to cover all employees and professionals who pass through the institution were mandatorily implemented and incorporated, with a statement of risk awareness, assessment of risks professional safety, link with restricted access control and a collaborative environment between clinical research, the human resources department, the postgraduate and residency departments and magnetic resonance imaging services. Currently, the project in REDCap has 1276 insertions and brings important information

17 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

that guides the actions of prevention and improvements in safety in magnetic resonance. KEYWORDS: Magnetic Resonance; Safety; Video-Lessons; Standardized Flow. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 22 FROM APPROVALS TO MEDICAL IMAGE ACQUISITIONS: A STRUCTURED WORKFLOW FOR RESEARCH PRO- JECTS Khallil Taverna Chaim, HCFMUPS Inrad University of São Paulo;

Important diagnostic imaging services, especially those using magnetic resonance, computed tomography and ultrasound equipment, use exam management systems and digital medical image storage. These solutions have important tools that help managers with indicators, doctors in the consultation of exams of a certain patient and structuring of reports, of the professionals who carry out the acquisitions with the post-processing and inclusion of patient data, among other features. They are robust and structured solutions focused on clinical medicine. Many of these centers also carry out scientific research and the scenario is different, creating barriers in integrating the needs of researchers to market solutions. Aiming also to apply HIPAA policies on research data, often shared between research institutions, our institution adopts measures to anonymize patient data already in the initial registration on the equipment. This approach makes research and clinical integration even more complex. With a focus on seeking to create a structured and personalized environment to the reality of our institution, a management application was developed to carry out not only the management of research exams, but also to centralize the documentation of approvals and deadlines for better project management, as well as structuring for backup of established protocols, specific acquisition information for each research project and image acquisition technique, as well as financial control and security forms or procedures integrated in a single flow. The development of this solution focuses on the research project as a central element of registration, integrating the different teams involved and allowing more transparency and adaptability to the different realities of the projects, which involve patients and volunteers, post-mortem cases, animals and phantom, in transversal or longitudinal acquisitions and with different modalities. KEYWORDS: Project Management; Research; Medical Image; Registration. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 23 PAULO CASTANHEIRA PROJECT - MULTIDISCIPLINARY FOLLOW-UP OF PRETERM NEWBORNS FROM HOSPI- TAL DISCHARGE TO 20 YEARS OF AGE Lucio Padrini-Andrade, Escola Paulista de Medicina / Universidade Federal de São Paulo; Allan Chiaratti de Oliveira, Escola Paulista de Medicina / Universidade Federal de São Paulo; Ana Claudia Yoshikumi Prestes, Escola Paulista de Medicina / Universidade Federal de São Paulo; Anna Luiza Pires Vieira, Escola Paulista de Medicina / Universidade Federal de São Paulo; Ana Lucia Goulart, Escola Paulista de Medicina / Universidade Federal de São Paulo;

BACKGROUND: preterm newborns (PTNB) are those born at less than 37 weeks of gestation. PTNBs are five times more likely to die in the first year than term newborns and have high risk of growth and neurodevelopmental delays. Brazil is among the countries with the highest prevalence of PTNB (11%). OBJECTIVES: To present the “Paulo Castanheira Project” which aims to characterize the outcome of PTNBs with gestational age below 34 weeks, from hospital discharge to 20 years of age, using REDCap as a repository.The objective of the Program is to analyze the association between gestational and neonatal diseases with alterations in growth and neurodevelopment. METHODS: PTNB with gestational age bellow 34 weeks, born at 4 affiliated hospitals and attended at Preterm Follow-up Clinic of Federal University of São Paulo will be included. In the first step of the project, demographic and clinical data of patients at birth and during initial hospitalization will be included. The initial registration at REDCap (intra-hospital identification and outcome) will be performed by four neonatologists. In the next steps, different modules will systematically include data from the multidisciplinary follow-up of premature infants, including pediatrician, physiotherapist, nutritionist, odontologist, neurologist, speech therapist, psychologist, social worker, dermatologist, ophthalmologist and physiatrist. RESULTS: Data from gestational period, birth and outcome during hospitalization were planned during 2019 and modules are in use since January/2020. The next pediatrics modules should be implanted this year and the specialty modules are in the planning and development phase. CONCLUSION: Through REDCap it will be possible to prospectively collect data from the multiprofessional follow-up of premature infants at the UNIFESP Premature Outpatient Clinic, and to characterize the development of these newborns from infancy to late adolescence, in addition to defining associations between the outcomes defined by the various specialties involved. KEYWORDS: Newborn; Premature; Pediatrics; Adolescent Medicine; Human Development. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 25 THE USE OF THE REDCAP PLATFORM IN THE MANAGEMENT OF QUANTITATIVE AND QUALITATIVE ASSESS- MENTS IN THE OMBUDSMAN SECTOR OF HOLY HOUSE OF MERCY OF BARRETOS

18 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

Jaqueline Almeida dos Santos, Holy House of Mercy of Barretos; Mateus Frederico de Paula, Holy House of Mercy of Barretos

BACKGROUND: For the citizen, the ombudsman is an ally in the search for mediation related to the enjoyment of services, whose performance is guided by speed, impartiality, a sense of justice and a communication channel to search for information of a personal, administrative and public nature. Based on this principle and after identifying the lack in private philanthropic institutions of a system capable of storing, compiling and promoting data analysis, management developed by mapping the patient in relation to the manifestations made by the user. OBJECTIVES: Describe the experience of using the quantitative and qualitative data management of the hospital ombudsman, through the longitudinal methodology developed in the database on the REDCap platform. METHODS: The possibility of creating a database capable of mapping the user’s evaluation, allows the recognition of possible failures in the service capable of disqualifying assistance in general causing dissatisfaction to the citizen. The project was structured based on a unique register defined by the patient’s CPF and with each evaluation made, it is inserted in a longitudinal way; that is, regardless of their hospitalizations. Instruments were created for the following surveys: sector satisfaction, post discharge satisfaction and quarterly management. RESULTS: The use of this tool provided a better management of information from the ombudsman, making it possible to trace the profile of the protester among other information. Thus, the institution’s administration was able to access the essential information for a management development with ease; guaranteeing the confidentiality and ethics of the proposed work and being able to provide practical basis for possible statistical and strategic studies. CONCLUSION: The REDCap platform proved to be fundamental so that data collection becomes transparent, effective and reliable. To the patient, companion / family member, the database allows their communication to happen in a structured and comprehensive way. KEYWORDS: Ombusdman; Ombudsman Management; Data Collect; Data Management Ombudsman. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 26 USING SHAZAM TO ADAPT THE LAYOUT OF THE SERVICE REQUEST FORM OF THE EPIDEMIOLOGY AND BIOSTATISTICS CENTER OF THE HOSPITAL DE CANCER DE BARRETOS Roberto Fernandes Ferreira, Barretos Cancer Hospital; Marco Antonio Oliveira, Barretos Cancer Hospital; Marcos Alves de Lima, Barretos Cancer Hospital; Ricardo dos Reis, Barretos Cancer Hospital; Leonardo Muller, Barretos Cancer Hospital.

BACKGROUND: The Center for Epidemiology and Biostatistics at Barretos Cancer Hospital has 2 IT professionals to help users use REDCap resources that require technical knowledge, e.g: external modules. OBJECTIVES: Through the use of the External Module SHAZAM we did the development using HTML (Hypertext markup language for building WEB pages) and with CSS (style sheet), which is basically used for the presentation (appearance) to adjust the layout of the form requisition of biological material and assistance from the research support center. METHODS: After performing the activation of the external module (SHAZAM) and later its configuration we did the coding / development via HTML / CSS. PURPOSE: Share the experience of implementing / developing and using the external module (SHAZAM) in REDCap using our request form for biological material and assistance from the research support center. Thus, changing the look of it. The image below shows what the form looked like in REDCap before using SHAZAM. RESULTS: When we implemented the form in REDCap, we had a resistance in changing the layout (visual) of the form of all users, so then we used SHAZAM to make it look like it did when done manually. CONCLUSION: With the use of the external Shazam module, we can carry out the customization we deem necessary in any form, just by implementing technical knowledge in WEB programming, using HTML, CSS and also JavaScript. KEYWORDS: Shazam; HTML; CSS; layout; REDCap. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap end-users support and/ or training strategies

A 29 COMPLEXITY AND RISK-BASED ANALYSIS SCORE USING REDCAP TO MANAGEMENT THE INITIATIVE TRI- ALS IN ONCOLOGY Viviane Andrade, Barretos Cancer Hospital; Marcos Alves de Lima, Barretos Cancer Hospital; Ricardo dos Reis, Barretos Cancer Hospital; Vinícius de Lima Vazquez, Barretos Cancer Hospital;

BACKGROUND: A score analysis was developed to measure the research complexity and the risk for participants in ongoing research projects at Research support center using REDCap electronic data capture tools hosted at Barretos Cancer Hospital. OBJECTIVES: to describe the use of REDCap Advanced Branching Logic Syntaxes and Calculation fields for develop a score analysis tool for research support center. METHODS: Descriptive study to present the experience of a department specialized in research after the scoring analysis tool created using the Calculation fields and the advanced syntaxes of the REDCap branching logic. The studies were analyzed for complexity and institutional relevance. The calculations performed for the complexity analysis involved the duration of the studies in months and years in which the longer the study period, the greater the complexity of the study. Added the amount of driving activities involved in the project management flow. To estimate a weight for each study, in addition to complexity, the methodological

19 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

design was also scored, in which the score measured clinical trials as more complex studies compared to cross-sectional observational studies. All the logic of the scoring assigned to each study a score of 15 points, followed by the analysis of institutional relevance that was determined in a collegiate by a relevance evaluation committee assigning a score of 5 points. RESULTS: 89 ongoing Research Protocols were analyzed. Regarding to the complexity of conducting the studies, 44 (49.4%) were assigned 15 points and 29 (32.5%) were assigned 10 points. Regarding to institutional relevance, 62 (69.6%) were assigned 14 points, 18 (20.2%) were assigned 11 points. Three studies were interrupted and 13 were in stand by awaiting an interim analysis. CONCLUSION: This study demonstrates another use of REDCap tool for management and quality control of Research Center. This tool allowed for analyzing the demands, priorities and institutional relevance. KEYWORDS: Risk management; Database Management Systems; Research Projects. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 30 THE USE OF REDCAP IN THE FOLLOW-UP OF BABIES WITH CONGENITAL ZIKA SYNDROME Breno Lima de Almeida, Instituto Gonçalo Muniz - Fundação Oswaldo Cruz-Fiocruz, Salvador, Brazil; João Vitor Oliveira, Instituto Gonçalo Muniz - Fundação Oswaldo Cruz-Fiocruz, Salvador, Brazil; Juliana Menezes Gomes Cabral de Oliveira, Instituto Gonçalo Muniz - Fundação Oswaldo Cruz-Fiocruz, Salvador, Brazil; Adriana Virgínia Barros Faiçal, Hospital Universitário Professor Edgar Santos, Universidade Federal da Bahia, Salvador-BA, Brazil; Luiz Carlos Alcântara, Instituto Gonçalo Muniz - Fundação Oswaldo Cruz-Fiocruz, Salvador, Brasil; Isadora Cristina de Siqueira, Instituto Gonçalo Muniz - Fundação Oswaldo Cruz-Fiocruz, Salvador, Brazil;

BACKGROUND: At the end of 2015, an unexpected epidemic of Zika virus-related microcephaly cases hit large cities in the Northeast of Brazil. Given this context, in 2016 we started a study of neonatal surveillance for Congenital Zika Syndrome (CZS) in a reference maternity hospital in the city of Salvador, in northeastern Brazil. Subsequently, two follow-up studies of children with CZS were executed for two years in two different centers: one in a pediatric outpatient clinic with children with CZS without microcephaly (2017-2018) and the other in a rehabilitation center with microcephalic ones. OBJECTIVES: To use REDCap as a platform capable of integrating three different studies despite their spatial and temporal differences. METHODS: Questionnaires and study tools were created using REDCap version 6.18.1. Sociodemographic and clinical information from mothers were collected through interviews, while children and birth conditions’ data were obtained by clinical examination and reviewing medical records. Data entry and management were performed using the platform. In the maternity study, data were entered via the tablet in offline mode due to the difficulty of accessing the internet at the site and, in subsequent studies, it was done online. During and after the study, we created reports that helped with logistics, mainly from follow-up studies. RESULTS: 151 newborns were included in the study that took place in the maternity hospital, 28 children in the outpatient follow-up study of CZS without microcephaly and 76 microcephalic children in the follow-up study in the rehabilitation center, totaling 255 children with information collected and deposited in REDCap. CONCLUSION: REDCap proved to be a useful platform for the logistics of studies that took place in different places and periods, enabling an optimization of data collection and management. Through this tool, we could monitor children for three years, with a follow-up forecast for another two years. KEYWORDS: Zika Virus; Zika Virus Infection; Newborn. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 31 USE OF REDCAP IN CLINICAL RESEARCH WITH PEDIATRIC INTENSIVE CARE UNITS HEALTH PROFESSION- ALS: STILL A CHALLENGE IN A DEVELOPING COUNTRY Fernanda Lima Setta, Instituto D’Or de Pesquisa e Ensino; Luciane Stochero, Escola Nacional de Saúde Pública Sérgio Arouca; Deylaine Lourenço Pacheco, Universidade do Estado do Rio de Janeiro; Arnaldo Prata Barbosa, Instituto D’Or de Pesquisa e Ensino; Lucas Otavio Rosa de Souza, Instituto D’Or de Pesquisa e Ensino; Claudia Leite de Moraes, Universidade do Estado do Rio de Janeiro

BACKGROUND: Health professionals who work in Pediatric Intensive Care Units (PICU) are exposed to an environment of daily tension that generates physical and psychological stress. Identifying and mapping staff enables the development of BurnOut and Moral Distress preventive strategies and quality improvement programs. REDCap was chosen in this study because it is practical and dynamic and allows the use of online surveys, favoring the participation of professionals through computers and cell phones at any time. OBJECTIVES: Describe the challenges of using the REDCap application in clinical research with PICU staff. METHODS: Four PICU were inserted, totaling 227 health professionals - doctors, nurses, physiotherapists and nursing technicians. Sociodemographic, labor and emotional questionnaires were used, in addition to validated instruments on BurnOut Syn- drome, moral distress, compassion fatigue and quality of life. The electronic data collection form was assembled in REDCap with longitudinal data and surveys, using survey queue and automated invitations. As an alternative to the nominal message via email, links were also triggered via Whattsapp and printed forms. RESULTS: Up to now 85% of the professionals have responded. However, 8% were unable to fill the online survey and requested a printed version of the questionnaire, as they did not use or have access to personal email at the unit and mobile phone use was pro-

20 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

hibited. Despite the proper functioning of the program, we identified several difficulties such as: nominal emails sent by REDCap got lost or dropped in spam boxes; the Wi-Fi network of the units and coverage of the mobile operators had limitations, disturbing the online filling in the PICU. CONCLUSION: Despite being an excellent tool with multiple functions to optimize research, online adherence to REDCap can be particularly difficult in developing countries, where cultural, economic and educational barriers still exist, even when the research subject is a health professional. KEYWORDS: Pediatric Critical Care Medicine; Quality Assurance; Health Personnel; BurnOut; Clinicaltrial. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 32 USE OF THE REDCAP TOOL IN A LONGITUDINAL STUDY IN CRITICALLY ILL PEDIATRIC PATIENTS AND THEIR FAMILIES Fernanda Lima Setta, Instituto D’Or de Pesquisa e Ensino; Luciane Stochero, Universidade do Estado do Rio de Janeiro; Deylaine Lourenço Pacheco, Fundação Oswaldo Cruz; Claudia Leite de Moraes, Universidade do Estado do Rio de Janeiro; Michael Eduardo Reichenheim, Universidade do estado do Rio de Janeiro; Maria Clara de Magalhães Barbosa, Instituto D’Or de Pesquisa e Ensino.

BACKGROUND: Hospitalization in a Pediatric Intensive Care Unit (PICU) is a turbulent period for patients and families. Often, children do not remember the period of hospitalization, either due to severity of disease or the use of sedative medications. Family members do not always understand all clinical events and information provided by clinical staff. The use of hospital diaries can help reconstruct the sequence of events, empower family and bring team closer to family members, humanizing care. OBJECTIVES: To demonstrate the use of REDCap in a longitudinal study that evaluates the impact of PICU Diary on different outcomes in family members and critically ill children. METHODS: Ongoing multicenter longitudinal crossover interventional study in four PICU, which evaluates the impact of PICU Diaries on the development of Post-Intensive Care Syndrome and Quality of Life in critically ill children and their families. Vari- ables and outcomes are assessed on PICU admission, discharge and follow-up. 274 of 400 patients are already enrolled, 50 in each arm per center and one family member per patient. REDCap tools used: longitudinal module; two arms; different events with repeated instruments and tools; calendar for follow-up organization (45 to 60 days after discharge) and online surveys for selected families. Bedside interviews are conducted via REDCap Mobile application, using tablets. RESULTS: The research is ongoing with 274 patients and family members inserted. All centers completed phase I, 1 center is in washout period and the other 3 are already in study phase II. Through REDCap patients are enrolled in real time, relatives interviewed by bedside, double datachecks can be performed, missing data controlled, data collection through dashboard overviewed and follow-up calendar is optimized. CONCLUSION: REDCap facilitates fieldwork, allowing data collection in a simple way, ensuring quality and safety of data, organizing follow-up, minimizing losses and missing data, favoring later analyzes. KEYWORDS: Pediatric critical care; ICU Diaries; PostIntensive Care Syndrome; Humanized Care. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 33 REDCAP MOBILE AS A TOOL FOR ASSESSMENT THE PATIENT´S INFORMED CONSENT (IC) PROCESS IN SUR- GICAL SCHEDULE Silvana Soares dos Santos, Research Nurse, International Research Centre, AC Camargo Cancer Center (ACCCC); Ana Carolina Scintini, Research Nurse, International Research Centre, AC Camargo Cancer Center (ACCCC); Vanessa da Silva Alves, Research Nurse, International Research Centre, AC Camargo Cancer Center (ACCCC); Bruna Catin, Research Nurse, International Research Centre, AC Camargo Cancer Center (ACCCC); Cassia da Silva, Research Nurse, International Research Centre, AC Camargo Can- cer Center (ACCCC); Jefferson Gross, Surgeon, Head of Thoracic Tumor Department ACCCC.

BACKGROUND: The Informed Consent Form (ICF) is necessary to protect the autonomy and rights of individuals, in which they attest to being aware of their conditions as research subjects or undergoing invasive procedures. OBJECTIVES: to introduce the use of tablets, and the REDCap Mobile® application (RCMApp) in the IC process as a researcher´s tool; to evaluate acceptance and knowledge of patients and professionals. METHODS: a prospective pilot study of IC application for patients and surgeons. 98 oncological patients, who were pre-surgery consent, and 58 professionals were included. This project was approved by the Research Ethics Committee (number 2619/18). RESULTS: 64.6% were female, age (average) was 57 years. The main difficulties for the surgical IC were: chaotic moment, to understand a lot of information, an excessive number of forms, and anxiety/fear regarding the treatment to be performed (and the severity of the disease). The interview with tablet was considered quick and easy by 84.5% / 85.6% of the patients; 89.7% prefer it in the future. Among the 58 surgeons, 81% were male, age (average) was 34.5 years. 41.4% unknown the REDCap. The positive functions of REDCap was “creation of forms with structured data and validation” (25.9%), “the possibility of associating data collected at different times” (24.1%) and “assessment data on different platforms by internet” (24.1%); 50% didn´t identify negative features and 32.8% didn´t know how to answer. 47% didn’t know RCMApp; however, 67.2% liked the experience and 56.9% would like to use in the future. CONCLUSION: we observed a more efficient IC process with the use of the tablet and RCMApp, even with busy and difficult time

21 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

for both patients and professionals. We believe that the app is an excellent research tool and its regular use in the research routine is recommended. KEYWORDS: Informed Consent; Biomedical Technology; Medical Informatics Applications; Surgical Oncology. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 34 APPLICATION OF REDCAP MOBILE APP (REDCAP-MOBILE) AS AN EDUCATIONAL TOOL IN AN ECHOCARDI- OGRAPHY COURSE FOR NEONATOLOGISTS (ECONCOURSE) Lucio Padrini-Andrade, Escola Paulista de Medicina / Universidade Federal de São Paulo Nádia Canale Cabral, Escola Paulista de Medicina / Universidade Federal de São Paulo Simone de Araújo Negreiros Figueira, Escola Paulista de Medicina / Universidade Fed- eral de São Paulo Paulo Bandiera-Paiva, Escola Paulista de Medicina / Universidade Federal de São Paulo Ruth Guinsburg, Escola Paulista de Medicina / Universidade Federal de São Paulo

BACKGROUND: Ecocardiography is an important diagnostic tool in Neonatal Intensive Care Unita, but there is no consensus on a structured training model for neonatologists. OBJECTIVES: Evaluate the use of REDCap as an educational tool during ECONcourse. METHODS: REDCap-Mobile was applied in an ECONcourse at the University Hospital from March-August/2019 that has presential and at distance activities. A questionnaire with 58 fields was created (48 mandatory). REDCap-Mobile training was carried out with students during first meeting. The students documented exams performed in REDCap-Mobile and the information was sent to datacenter. At the end of the, an online questionnaire using Likert scale was applied about the usability of REDCap-Mobile and its contribution to learning. Statistical descriptive analysis was applied. RESULTS: 19 students participated in the course (age36+10 years, 95%f female) and registered 6 exams/students, 20% with image attached. Students who passed the course (57%) registered 4-5exams/student. Characteristics of the students regarding technology: 72% were classified as experienced users, frequently using instant messaging (100%), internet banking (89%), social networks (83%), e-mail (83%), agenda (61%), watching videos (22%), games (11%) and making purchases (6%). Concerning REDCap-Mobile, students reported ease of installation/configuration (83%), and ease with filling in questions (78%), recording image (50%) and sending exams (72%). REDCap-Mobile assisted in self-evaluation of knowledge acquisition (67%) and the creation of exam script (83%). CONCLUSION: There were few records of exams/images by students. Despite their daily use of technologies, not all of them reported ease in completing and sending the questionnaires/images. Thus, it is necessary to improve training and monitoring of the REDCap-Mobile use during the course. KEYWORDS: Newborn; Hemodynamics; Echocardiography; Training; Mobile Applications. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 35 BIBLIOMETRIC STUDY OF NATIONAL AND INTERNATIONAL SCIENTIFIC PRODUCTION ON THE USE OF REDCAP AS AN INSTRUMENT TO FACILITATE DATA SHARING Maria de Fátima Moreira Martins, Fundação Oswaldo Cruz/Vice Presidência de Ensino, Informação e Comunicação; Vanessa Arruda Jorge; Fundação Oswaldo Cruz/Vice Presidência de Ensino, Informação e Comunicação

BACKGROUND: Open science is a movement is gaining more and more researchers inside and outside research institutions, involving a new conception of science, which is limited not only to free access to scientific publications, but in the implementation of new dynamics of knowledge production. Sharing data and protocols, methodologies, data collection, use and creation of software and hardware, research notes and reports, and stages of knowledge production can be collaborative, shared and open. OBJECTIVES: To outline the characterization of scientific production that includes the theme data sharing and the use of the REDCap system, indexed in national and international databases for the construction of a scenario about the subject. METHODS: This is a quali-quantitative research that used bibliometry and content analysis as the main methodological tools. RESULTS: To identify the studies, articles were searched in 5 indexed databases (Lilacs, PubMed, Scopus, Embase and Web of Science), in the period between 2012 and 2020, and 48 scientific articles were mapped. According to previously defined criteria, 22 were excluded due to duplicity, leaving 26 to compose the literature review bibliographic collection. CONCLUSION: The findings demonstrate a low number of studies and several gaps on the subject, evidencing the need to develop research on the use of the system as a tool for data sharing in the area of clinical research. The use of REDCap as a tool for data management, sharing and opening can help to minimize the workload in the development of medicines, devices and procedures in the health area, as well as allowing the effective reuse of data and the dissemination of clinical research data, especially in tackling past epidemics (including outbreaks of Ebola, cholera, Zika and SARS) and now in combating the COVID-19 pandemic. KEYWORDS: Biomedical Research; Information Dissemination; Data Sharing; Open Science; Reuse. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

22 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

A 37 SIMPLIFIED QUESTIONNAIRE FOR OCCUPATIONAL CANCER SCREENING (QSR) AS A POSSIBLE TOOL FOR THE IDENTIFICATION OF WORK-RELATED NEOPLASMS Rafael Vanhoz Ribeiro, Hospital de Câncer de Barretos; José Humberto Tavares Guerreiro Fregnani, Hospital AC Carmago; Rui Ma- nuel Reis, Hospital de Câncer de Barretos; Fabiana de Lima Vazquez, Hospital de Câncer de Barretos

BACKGROUND: Millions of workers may be exposed to several factors and agents harmful to health, and these occupational ex- posures may be related to a cancer. A study proposal was to verify the feasibility of identifying a relationship between occupational exposure and the diagnosis of cancer and to create mechanisms for its effective application. The REDCap platform is ideal for the type of information collection considered in this study, due to its flexibility, creation of surveys and offline data collection through the REDCap Mobile APP. OBJECTIVES: To verify the feasibility of using REDCap to apply a simplified questionnaire that obtains information on exposure and occupation and to verify this information, a further clarifying analysis to implement the clinical practice of a mandatory clinical examination for occupational cancer and to conduct an investigation and examination in work environments and processes. METHODS: Prospective cross-sectional study to be carried out in the departments: Head and neck / skin and melanoma, High digestive system, Chest, Hematology, Breast, Urology and Neurology at Fundação Pio XII - Hospital de Câncer de Barretos. To assess how risky professions for occupational cancer are, participants respond to a simple questionnaire in REDCap with questions about profession, workplace, work pace and exposure of risk factors for each type of cancer. RESULTS: Cancer cases with the possibility of occupational exposure will be notified to SINAN (National Notification Recording System) and monitored by CAT (Accident Work Communication) for workers insured by Social Security. KEYWORDS: Occupational cancer; Occupational exposure; Neoplasms; Environmental disease; Epidemiology. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 40 INFLUENCE OF THE DIFFERENT FACTORS OF THE REDCAP PLATFORM IN THE DATABASE CONSTRUCTION OPTIMIZATION FLOW Livia Mega, AC Camargo Cancer Center; Barbara Bettim, AC Camargo Cancer Center; Janaina Germano, AC Camargo Cancer Center

BACKGROUND: Research databases must have unquestionable quality in terms of both data collection and technological tools. Regarding to the technological aspects, which consequently affects and guarantees the quality of data collection, the REDCap platform shows as the most modern and practical tool. Allowing different governance models and offering the researcher as much autonomy as possible, a specialized labor within this area is shown to be a great facilitator of research practice flows. OBJECTIVES: This work aims to demonstrate how some initial aspects of a scientific work have an influence on some factors of the construction of a research database on the REDCap platform in a centralized governance model. METHODS: This work was based on a governance model considered centralized for data management on REDCap. In order to assess possible associations between the characteristics of the databases, information was collected from 70 existing databases on the platform, such as the time of building, the number of variables, the way the database was initially presented, among other information. RESULTS: The way the database was initially presented and the number of variables built in each project did not show a significant association with the construction time. However, when assessing the number of variables with the way the database was initially presented, we identified a significant association. CONCLUSION: In conclusion, we were unable to observe a direct relationship between the time required for the construction of the databases with the number of variables and the way it was initially presented. However, we observed that, for cases in which the researcher did not present any files with pilot collections, by accepting the suggestions and instructions related to the tool, we obtained an optimization in the number of variables, which may suggest an improvement in the time regarding data compliance as a whole. KEYWORDS: REDCap; Database; Biomedical Research; Data Collection/Methods. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap end-users support and/ or training strategies

A 42 REPORTED HEALTH STATUS BY PATIENTS: DEVELOPING A WARNING TOOL FOR PROFESSIONALS Amanda Danieletto Ruiz Livia do Valle Costa Maria Agatha Stahl de Queiroz Camila Santana Justo Cintra Sampaio Teresa Cristina Dias Cunha Nascimento Carla Bernardes Ledo

BACKGROUND: The clinical outcome of patients in Hospital Sírio Libanês (HSL), located in São Paulo/SP, Brazil, are being monitored since December 2017 by the Clinical Outcome area. The reference guides used are standardized by ICHOM (Interna- tional Consortium for Health Outcomes Measurement) and contains variables and instruments for this assessment. REDCap’s database was chosen for storage, allowing structured data collection for each health condition and established periodicity. Patients information provided at follow-up after discharge are not always shared with the responsible physicians, once treated patients at

23 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

HSL undergo medical appointments at private offices, making the majority of them loyal to their physician. OBJECTIVES: Automatically send alert emails according to each health condition reported by patients, based on expert’s group criteria, after REDCap use. METHODS: For each health condition, reported critical points by patients at follow-up telephone contact must be signaled to the responsible physician, as agreed between the Clinical Outcome’s team and specialist’s group. RESULTS: After REDCap database register, automatic emails identifying patient information are sent when alert criteria are reported through follow up telephone contacts. The Clinical Outcomes Team contacts patients physicians when receive alert e-mails and patient’s critical findings are reported. CONCLUSION: Patient centered care are now quicker and more specific after the development of REDCap automated emails, allowing us to attend individual requirements and provide information for better care. KEYWORDS: Outcomes; Quality of Life; Health Care. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 43 ANALYSIS OF CLINICAL OUTCOME RESULTS USING REDCAP AS A FACILITATOR Livia do Valles Costa Maria Amanda Danieletto Ruiz Agatha Stahl de Queiroz Laura Lopes Nogueira Pinto Teresa Cristina Dias Cunha de Nascimento Carla Bernardes Ledo

BACKGROUND: The clinical outcome of patients diagnosed and treated for breast cancer in Hospital Sírio Libanês (HSL), located in São Paulo/SP, Brazil, are being monitored since December 2017 by the Clinical Outcome area. The reference guide used are standardized by ICHOM (International Consortium for Health Outcomes Measurement) and contains variables and instruments for this assessment. REDCap’s database was chosen for storage, allowing structured data collection for each health condition and established periodicity. Results were presented at periodical meetings whit an expert’s group and multidisciplinary team. OBJECTIVES: To describe the use of structured data in REDCap database to develop a Business Intelligence (BI) tool as a facilitator for analysis of data and indicators for monitoring Clinical Outcome in Breast Cancer. METHODS: A document was prepared with all variables that must be presented at the BI layout, including calculation formula, filters and illustration of graphs types. The test phase was carried out between information technology (IT) professionals and the Clinical Outcome Area and after necessary adjustments and BI approval, the production phase was released and the program developed through the QlikView®. RESULTS: Through the BI, data analysis is quicker and enable to create automatic tables, graphs, filters and perform different comparisons having specific analysis for each instrument of quality of life and functionality applied. It is also possible to create individual patient repots, which contains health status evolution, complications, readmissions, quality of life and functionality scores, at different times of monitoring, allowing to compare the evolution individually. CONCLUSION: Using REDCap database with structured fields it was possible to develop a better analysis tool, making a faster and assertive process, improving analysts work process and providing individualized information for patient-centered care. KEYWORDS: Outcomes; Quality of Life; Health Care; Breast Neoplasms. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 48 APPLICABILITY OF THE REDCAP PLATFORM IN CLINICAL TRIALS: RANDOMIZATION PROCESS. Jéssica Peixoto de Araújo, Hospital de Câncer de Barretos; Marcos Alves de Lima, Hospital de Câncer de Barretos; Fabiana de Lima Vazquez, Hospital de Câncer de Barretos; Ricardo dos Reis, Hospital de Câncer de Barretos.

BACKGROUND: Clinical trial can be defined as an interventional study that offers some therapy, medication or treatment to the patient. Many studies work with blinding the intervention, both for the patient, as well as for the professional who will treat or evaluate and for the analysis of the results, another important process of the clinical trial is the randomization that defined which group the patient was included in. OBJECTIVES: Demonstrate the applicability of the REDCap platform in clinical trials, facilitating blinding of the intervention and randomization of the research participant. METHODS: Randomization in REDCap follows some steps: Initially, the researcher needs to define his sample size by determining the randomization groups, in this phase it is also possible to create strata in order to make randomization more homogeneous. Sub- sequently, a list with all possible combinations of groups and / or strata with the same sample quantity must be created in a .csv file. RESULTS: The randomization process developed at REDCap, according to the characteristics of each study, reduced patient allo- cation errors, helping to reduce bias, such as; selection, sample loss and data analysis. CONCLUSION: REDCap, is a safe, effective and multifunctional platform, capable of assisting clinical trials, with the administration of the database it allows creating permissions for each user, making it possible to blind the evaluator, the analyzer and the patient, and still be able to carry out randomization within a database. KEYWORDS: Clinical Trials as Topic; Double-Blind Method; Randomized Controlled Trials as topic. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

24 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

A 49 REDCAP IN COMPLIANCE WITH THE REGULATIONS OF THE GENERAL DATA PROTECTION LAW: SECURITY AND CONFIDENTIALITY TO THE RESEARCH PARTICIPANT. Jéssica Peixoto de Araújo, Hospital de Câncer de Barretos; Marcos Alves de Lima, Hospital de Câncer de Barretos; Ricardo dos Reis, Hospital de Câncer de Barretos.

BACKGROUND: The General Data Protection Law, this is the regulation that provides for the confidentiality and security of the data of any research participant, the legislation comes into force in August 2020 and the need to migrate all databases to a platform safe becomes great. OBJECTIVES: Demonstrate the effectiveness of the REDCap platform in protecting the data of the research participant and emphasize the application of the informed consent form. METHODS: The project on the REDCap platform is built in the Survey format, with the objective of directing the participant’s route to the same. In this project, fields are built capable of making the document veridical with the participant’s signature and consent, such as; signature camp and pipping function capable of generating data self-completion. RESULTS: The LGPD advocates the security of patient data. Using the REDCap Platform, the researcher is able to carry out the consent process via mobile devices and send a copy of the IC to the participant, reducing the loss of documents printed on paper, ensuring the protection of the research participant’s data. CONCLUSION: The use of the REDCap platform for the application of the ICF enabled an efficiency in terms of accessibility for the researcher, avoiding the excessive use of papers and the safe storage of the document, aiming that, according to the Brazilian Legislation, documents must be filed for at least five years. KEYWORDS: Consent Forms; Computer Security; Data Management. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 51 USING REDCAP TO IMPROVE VALUE IN PARKINSON DISEASE: REPORTS FROM PATIENT REPORTED OUT- COME MEASURES Sabrina Bernardez-Pereira, Hospital do Coração (HCor); Luciana Alves Lopes, Hospital do Coração (HCor); Lucilene Martins Ber- lamino, Hospital do Coração (HCor); Vilcilene Barbosa dos Santos, Hospital do Coração (HCor); Bianca Pereira Benigni, Hospital do Coração (HCor), André dos Reis Martins de Oliveira, Hospital do Coração (HCor); Maria Gabriela dos Santos Ghilardi, Hospital do Coração (HCor).

BRACKGROUND: Parkinson’s disease (PD) is the second most common neurodegenerative disease with an estimated prevalence in Brazil of 506,624 individuals. Besides the well-known PD’s motor symptoms, the patients present a variety of non-motor symptoms, which greatly impair their quality of life and are often unrecognized. OBJECTIVE: To implement a central monitoring center for clinical outcomes that matter to patients with Parkinson’s disease and enhance the support treatment offered to the patient. METHODS: The HCor Value Management Office began measuring clinical outcomes in Parkinson’s disease following the ICHOM methodology, including collection of MD-UDPDRS and PDQ-8 questionnaires. A REDCap database was built following the ICHOM reference guide. We also provide to the patient’s attending physician, before the outpatient return visit, an individual RED- Cap report, per patient, with the collected data that helps to optimize the medical consultation, efficiently identifying the outcomes that matter most to the patient. RESULTS: The average time to apply the questionnaires was 20 minutes. There was good acceptance by the clinical staff for the performance of the VMO. The net promoter scores (NPS) for the patients’ satisfaction with HCor VMO reached an average of 9.4. The baseline analysis of the first 90 patients showed worse MDS-UPDRS part I scores for the domains sleep problems, daytime sleepiness, urinary problems, cognitive disfunction and fatigue and for the domains walking and balance and getting out the bed related to MDS-UPDRS part II. Although the high prevalence of sleep problems, only 17.8% of the patients received behavioral therapy in the last 12 months. CONCLUSION: The delivery of PROMs results in a better identification of the symptoms not often reported by the patient with Parkinson Disease and allowed HCor senior management to identify the need for an institutional development plan to PD improvement care. KEYWORDS: Parkinson Disease; Quality improvement; Patient Reported Outcome Measures. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 54 USING REDCAP TO STRUCTURE A VALUE MANAGEMENT OFFICE IN HEALTHCARE Sabrina Bernardez-Pereira, Hospital do Coração (HCor); Luciana Alves Lopes, Hospital do Coração (HCor); Bianca Pereira Be- nigni, Hospital do Coração (HCor); Lucilene Martins Berlarmino, Hospital do Coração (HCor); Vilcilene Barbosa dos Santos, Hospital do Coração (HCor); André dos Reis Martins de Oliveira, Hospital do Coração (HCor), Luiz Carlos Valente de Andrade, Hospital do Coração (HCor); Carlos Alberto Buchpiguel, Hospital do Coração (HCor).

BACKGROUND: Porter defines Value-Based Healthcare (VBHC) as the “health outcomes achieved which matter to patients rela-

25 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

tive to the cost of achieving those outcomes”. However, to make the transformation to value-based health care delivery, standardized outcomes, transparently reported by condition, are essential and new generation of enabling information technology (IT) is needed. OBJECTIVE: To use REDCap to structure a data system on clinical outcomes to support a Value Management Office in Brazil. METHODS: The Hospital do Coração (HCor) Value Management Office initiative started with a lean structure of three employees in an outcome monitoring cell, a data analyst and a medical coordinator by implementation of ICHOM methodology. The REDCap® system was used for data capture, surveys application, calendars, data quality, reports, stats and data export. A detailed report per patient was prepared for each health condition and delivered to the patient’s attending physician. A R Shiny® dashboard was built to manage performance measures and clinical outcomes. RESULTS: We currently have 18 conditions fully implemented using REDCap (Parkinson’s disease, stroke, brain tumor, chest pain, stable and unstable angina, myocardial infarction, cardiac surgery, heart failure, atrial fibrillation, sepsis, low back pain, osteoar- thritis, elderly person, mental health, Gamma Knife, breast cancer, transcatheter aortic valve implantation, COVID-19) and more than 12.000 patients being followed. A perception of support has been reported by the patients accompanied by our VMO with a manifestation of a greater interest in their health condition, which will certainly reflect in a better self-care management. “I am happy that HCor does not consider me just as one more number” (MJTC, Parkinson’s Disease patient). CONCLUSION: The use of web-based, low-cost, and widely used international tools, such as REDCap® and R® program, fa- vors the implementation of systematized data collection, data quality management and data analysis in a Brazilian Value-Based Healthcare initiative. KEYWORDS: Value-Based Health Insurance; Information Technology, Health; Outcome Assessment, Health Care. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 54 REDCAP INTEGRATION WITH PHILIPS TASY EMR FOR THE ENDOMETRIOSIS REGISTRY Cleyton Zanardo de Oliveira, BP - A Beneficência Portuguesa de São Paulo; Marina de Paula Andres, BP - A Beneficência Portu- guesa de São Paulo; Fabricio Amado do Nascimento, BP - A Beneficência Portuguesa de São Paulo; Maria Cristina Alves Rodrigues Marques, BP - A Beneficência Portuguesa de São Paulo; Rozana Mesquita Ciconelli, BP - A Beneficência Portuguesa de São Paulo.

Introduction: With technological advances, the electronic medical record is a reality. REDCap has the “Dynamic Data Pulling” (DDP) feature that allows the automatic transfer of structured data from some systems (such as electronic medical records), being an easy data extraction solution for collecting scientific research. Objective: Integrate REDCap with Philips Tasy EMR (Electronic Medical Record) using the DDP feature Method: It was developed in a working group (Statistician, IT members and Specialist in Endometriosis), which performs the following steps: Indication of the Pilot Project; Making the standardized collection form; Con- struction of the Database in REDCap; Mapping with Tasy; Adequacy of the bank with the suggestions presented by TI; Mapping of variables in REDCap; Homologation. Result: The construction of the Endometriosis Registry was defined as a pilot project. The Registry has information on personal, clinical, imaging, pathological and quality of life data. 10 standardized collection forms were made with 529 variables that were subsequently implemented in REDCap. After evaluation, 115 possible variables were identified and integrated, however, it was necessary to adapt the database in REDCap, transforming the checkbox variables into a radio button, removing the logic relationships and adapting the coding of some categories. The variables were mapped on the REDCap and the “Date of Surgery” was defined as a reference for the longitudinal variables. After approval, it was found that 12 variables had disagreement with the data in Tasy, which were later corrected. CONCLUSION: 115 variables were mapped, which optimized the collection time. The non-evolution in the medical record and the information that was in the examination report were the main reasons for the non-integration. A better filling of Tasy was observed by the clinical team. KEYWORDS: Integration; Dynamic Data Pulling; DDP; Endometriosis PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap Interoperability and/or IT infrastructure

A 53 TEN YEARS AND 15000 PATIENT’S DATA OF “VISION FOR THE FUTURE”: THE USE OF REDCAP TO COMPRE- HEND THE BIGGEST OPHTHALMOLOGIC SCREENING PROGRAM IN SÃO PAULO Douglas R. Costa, University of São Paulo; Fernanda N. Susanna, University of São Paulo; Henrique P. Vasconcelos, University of São Paulo; Cindy Tabuse, University of São Paulo; Iara Debert, University of São Paulo; Remo Susanna Jr, University of São Paulo

BACKGROUND: Sight plays a crucial role on children’s global development. Refractive errors are one of the main causes of revers- ible low vision acuity and blindness on the world, mainly on non-developed countries. Therefore, the creation and comprehension of screening programs for young children is especially important in a country as Brazil. OBJECTIVES: To describe the use and the importance of REDCap as the main tool to organize and analyze data of more than 15000 children, collected over 10 years of ophthalmologic screening programs for children on São Paulo’s public schools. METHODS: The data manually collected between the years of 2009 and 2020 on Hospital das Clínicas da Faculdade de Medici- na da Universidade de São Paulo (HCFMUSP), estimated to be of more than 15000 children, is being inputted into an almost identical questionnaire on REDCap. The original data are on papers and computer’s worksheet of the HCFMUSP Opthalmology Department, which are being inserted and imported to that single database since January 2020. Posteriorly, data will be exported

26 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

for statistical analysis. RESULTS: Until the confection of this abstract, 2650 data were inputted into REDCap: 1355 (51.1%) children were female and 1295 (49.9%) were male; the mean age was 6.52; 1459 (55.1%) went through all ophthalmologic tests and 1412 (53.5%) children received free glasses. CONCLUSION: REDCap and its easy tools and many functionalities provided a better and faster way to organize the collected written data. Results demonstrate that many public-school children have been benefited by this social program. The possibility of organizing and analyzing the data of such a long term and complex program will allow a better comprehension of its operation and provide suggestions for its improvement. Hence an even bigger portion of this underprivileged population can be benefited. KEYWORDS: Ophtalmologic screening; Children visual screening; Social refractive campaigns. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 55 ANALYSIS OF THE PROFILE OF CONSECUTIVE HEPATECTOMIES USING REDCAP Marcos Alves de Lima, Barretos Cancer Hospital; Lidio Carvalho da Silva Lima; Barretos Cancer Hospital; Marco Aurelio de Sanc- tis; Barretos Cancer Hospital; Durval Renato Wohnrath, Barretos Cancer Hospital; Fernando Ernesto Cruz Felippe, Barretos Cancer Hospital; Enio David Mente, Barretos Cancer Hospital

BACKGROUND: In Brazil, there are few studies with consecutive series of hepatectomies. Given the progressive expansion in the indications, the definition of the profile of patients undergoing liver resection allows an improved risk stratification and better allo- cation of resources in order to minimize the morbidity of this procedure. OBJECTIVES: To build a robust database in order to determine the profile of hepatectomies performed at Barretos Cancer Hospital. METHODS: Through a retrospective review of medical records of patients undergoing liver resection from December 19, 2011 to April 30, 2019, a database was built at REDCap with the most relevant clinical and surgical information. The data were exported and statistically analyzed using the SPSS software, version 22.0. RESULTS: A database was initially built for retrospective analysis. In the period studied, 268 partial hepatectomies were performed in 250 patients. The mean age was 57.8 years (SD = ± 13), 127 men (50.8%) and 123 women (49.2%). Most patients, 237 (94.8%), had malignant disease. Of these, 177 (70.8%) had a diagnosis of metastatic liver tumor, with colorectal metastasis present in 160 (64%). Anatomical resections were performed in 203 patients (75.7%), 60 of which were right hepatectomies (22.4%). The median estimated blood loss was 400 mL and blood transfusion was indicated in 34.3% of patients. The mean hospital length of stay was 5.6 days (SD = ± 5.9). Perioperative morbidity and mortality were 41.8% and 7.1% respectively. After this initial analysis, the database was improved and adapted for prospective data collection, with the inclusion of fields for re-hepatectomies, daily laboratory tests and insertion of photos of surgical specimens. CONCLUSION: In this study, REDCap presented itself as an important tool in retrospective research and analysis, and has clear advantages in the prospective data collection of surgical records. KEYWORDS: Liver; Hepatectomy; Liver cancer; Postoperative complications; Morbidity; Mortality. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 56 USING REDCAP TO TRIAGE PATIENTS IN A CANCER HOSPITAL Marcos Alves de Lima, Barretos Cancer Hospital; Lidio Carvalho da Silva Lima; Barretos Cancer Hospital; Marco Aurelio de Sanc- tis; Barretos Cancer Hospital; Durval Renato Wohnrath, Barretos Cancer Hospital; Diego Burgardt, Barretos Cancer Hospital; Enio David Mente, Barretos Cancer Hospital

BACKGROUND: Access to specialized oncology services is a growing problem in Brazil and worldwide. Every day, hundreds of people from several Brazilian states arrive at Barretos Cancer Hospital in search of medical treatment. Such demand generates growing queues and increased waiting time for consultations and exams. In this context, it is essential to adequately screen patients in order to organize the queues and prioritize those who need preferential care, considering their demographic, social, epidemiological, and clinical characteristics. OBJECTIVES: To develop, through the REDCap platform, a project for adequate triage of oncologic patients. METHODS: At first, multiprofessional meetings were held, involving the Nucleus of Epidemiology and Biostatistics (NEB) and the Department of Upper Gastrointestinal and Hepato-pancreato-biliary Surgery of the Barretos Cancer Hospital, in order to select and categorize fundamental data for the triage form. In a second moment, a data record form was built by NEB in REDCap. RESULTS: The proposed triage form includes, in addition to social, clinical and epidemiological data, a final score in order to categorize the patient in a priority ranking queue. This score is calculated based on a sum of points attributed to the following variables: categorized age, entrance door to the institution, staging of the neoplasia and the need or not for complementary exams. It is also possible to attach the reports of exams previously performed. The developed database is available for the professionals who perform the triage process of new patients at Barretos Cancer Hospital. CONCLUSION: With the participation of a multiprofessional team, a project has been created on the REDCap platform, which allows the health professional a more objective stratification of the new patients, according to a priority queue, so that they are referred for complementary investigation and treatment in a time more adequate to their needs. KEYWORDS: Oncology; Hospital oncology service; Triage; Clinical governance.

27 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 61 USING REDCAP DATA QUALITY TOOL TO MONITORING CERVICAL CANCER PREVENTION CLINICAL RE- SEARCH IN MOZAMBIQUE Viviane Andrade, Barretos Cancer Hospital; Joseph P. Thomas, The University of Texas MD Anderson Cancer Center; Mark F. Mun- sell, The University of Texas MD Anderson Cancer Center; Cristina Oliveira, University of Minho and Barretos Cancer Hospital; Cesaltina Lorenzoni, Universidade Eduardo Mondlane and Ministerio da Saude de Moçambique, Maputo, Mozambique; Kathleen M. Schmeler, The University of Texas MD Anderson Cancer Center.

BACKGROUND: A research partnership between MD Anderson Cancer Center in the USA, Barretos Cancer Hospital and other institutions in Brazil, the Mozambique Ministry of Health, in Maputo, Mozambique was created to conduct the study and to train the local team in data management using REDCap. OBJECTIVES: To use the REDCap Reports, Data Quality and Data Resolution Workflow applications to control and manage the accuracy of cervical cancer prevention research data in Mozambique. METHODS: Study data were collected and managed using REDCap electronic data capture tools hosted at MD Anderson Can- cer Center. Research staff were trained on conducting research, research ethics, REDCap use and the technical skills necessary to implement cervical cancer prevention research in an environment with few resources. RESULTS: A team of professionals was supervised in the practical training of all stages of the research protocol, data collection using REDCap during the registration of the first 26 research subjects. Thereafter, data for the next 898 enrolled patients were assessed at each visit by Brazilian and American teams every three months. Data consistency analyses were performed weekly using the Reports and the Data Quality applications in REDCap, which was followed by the use of the Data Resolution Workflow application to open queries to check discrepancies in the project data. Because REDCap is a web-based system, the data were able to be monitored remotely from Brazil. The Mozambican research team were able to periodically review the data in source documents and respond to data queries. At each face-to-face visit of the research teams, a sampling of the data was reviewed to confirm the adequate resolution of data discrepancies. CONCLUSION: The most important REDCap tools for this research were the Reports, Data Quality, and Data Resolution Work- flow applications because they allowed remote data management and monitoring of the quality of the study data. KEYWORDS: Database Management Systems; Academies and Institutes; Research Projects. PRESENTATION: Oral Presentation SECTION: REDCap in research protocols

A 63 A PERMISSIONED BLOCKCHAIN NETWORK FOR ACCOUNTABILITY AND SHARING OF DE-IDENTIFIED TU- BERCULOSIS RESEARCH DATA IN BRAZIL Filipe Andrade Bernardi, University of São Paulo; Vinicius Costa Lima, University of São Paulo; Rui Pedro Charters Lopes Rijo, Pol- ytechnic Institute of Leiria; Domingos Alves, University of São Paulo; Afrânio Lineu Kritski, Faculty of Medicine Federal University of Rio de Janeiro; Rafael Mello Galliez, Federal University of Rio de Janeiro

BACKGROUND: Tuberculosis (TB) is an infectious disease and is among the top 10 causes of death in the world and Brazil is part of the top 30 high TB burden countries. Data collection is an essential practice in health studies and the adoption of electronic data capture systems (EDC) can positively increase the experience of data acquiring and analysis. Also, data sharing capabilities are crucial to the construction of efficient and effective evidence-based decision-making tools for managerial and operational actions in TB services. Data must be held secure and traceable, as well as available and understandable for authorized parties. OBJECTIVES: In this sense, this work aims to propose a blockchain-based approach to build a reusable, decentralized, and de-identified dataset of TB research data, while increasing transparency, accountability, availability, and integrity of raw data collected in EDC systems. METHODS: After identifying challenges and gaps, a solution was proposed to tackle them, considering their relevance for TB studies. Information security issues are being addressed by a blockchain network. Research Electronic Data Capture (REDCap) and KoBoToolbox are used as EDC systems in TB research. Mechanisms to de-identify data and aggregate semantics to data are also available. RESULTS: A permissioned blockchain network was built using the Kaleido Platform. An Integration Engine integrates the EDC systems with the blockchain network, performing de-identification and aggregating meaning to data. Finally, a management system facilitates the handling of necessary metadata and delivers additional tools to explore the blockchain and export data. Research data is an important asset not only for the research where it was generated, but also to underpin studies replication and support further investigations. The de-identified database is built-in real-time by storing data in transactions of a permissioned network, including semantic annotations, as data is being collected in TB research. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001. KEYWORDS: Electronic data capture; Data management; Blockchain; Data sharing; Tuberculosis. PRESENTATION: Best Abstract Session SECTION: REDCap Interoperability and/or IT infrastructure

28 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

A 65 IMPLEMENTATION OF REDCAP IN A PEDIATRIC HOSPITAL IN ARGENTINA Maria Virginia Kulik, Hospital de Pediatría “Prof. Dr. Juan P. Garrahan”; Silvina Ruvinsky, Hospital de Pediatría “Prof. Dr. Juan P. Garrahan”; Macarena Roel, Hospital de Pediatría “Prof. Dr. Juan P. Garrahan”; Carla Voto, Hospital de Pediatría “Prof. Dr. Juan P. Garrahan”; Susana P. Rodríguez, Hospital de Pediatría “Prof. Dr. Juan P. Garrahan”

BACKGROUND: Hospital Garrahan (HPG) is a referal pediatric institution in Latinamerica, receives pediatric patients with several underlying conditions and conducts around 100 researches/year. Handling data collection securely, supporting researchers, while protecting personal information was needed. REDCap was implemented in 2016. OBJECTIVES: To describe REDCap´s implementation in HPG and user characteristics. METHODS: Implementation included: a governance committee to promote adoption of tools and standardized data collection. In-person and remote training programs, tutorials and data collection templates were implemented, to avoid barriers and find potential solutions to improve adherence to the new technology. We collected data from local REDCap users, new records, training and assessment programs. Period of study: 01/01/2017 to 12/31/2020. RESULTS: Between 2017-2020, a total of 818 users completed full training (in-person and remote). 1840 projects were created, with 75090 records. From a total of 600/784 users, the age distribution was less than 35 years: n=240 (40%), 35-50 years: n= 209 (34,8%), over 50 years: n=151 (25,2%). From 784 users were: clinical pediatricians: n = 134 (17%), other pediatrics specialists: n=415 (53%), nurses: n=46(5.87%), data entry: n=175 (22.3%), secretaries: n=14(1.8%). Regarding hospital position: unit chief n=25(3.19%), professional staff: n=393(50.13%), fellows and residents: n=202(25.7%), support personnel: n=164 (21%). CONCLUSION: Since REDCap´s implementation, we observed an annual increase in trained personnel, active users and records. The age group under 50 years old was the main user base. It’s necessary to continue with training and adherence to REDCap as a powerful tool for supporting research in our hospital. KEYWORDS: Implementation; training; pediatrics; REDCap. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap end-users support and/ or training strategies

A 66 CONSTRUCTION OF A DIGITAL DATABASE USING REDCAP TO MANAGE THE WORKFLOW OF BIOLOGICAL SAMPLES IN A LARGE MOLECULAR GENETICS LABORATORY PAO Ribeiro, University of Campinas and the Brazilian Institute of Neuroscience and Neurotechnology; LY Romeu, University of Campinas and the Brazilian Institute of Neuroscience and Neurotechnology; I Lopes-Cendes, University of Campinas and the Brazilian Institute of Neuroscience and Neurotechnology.

BACKGROUND: Our research group work with various biological and clinical data of patients and controls, storing information since 1997. The data from the research participants, such as name, hospital identification number and diagnostic hypothesis, were recorded on paper and then transcribed in an Excel spreadsheet. Each student or researcher was responsible for storing and sharing the data generated by their research. OBJECTIVES: Create a digital database of samples and experiments, from the Molecular Genetics Laboratory, using the RED- Cap software. METHODS: Two projects were created using REDCap tools. The following field types were used: text box, checkboxes, multiple-choice (radio buttons) and file upload. The data entered in this database has been collected with Ethics approval (#257.020). RESULTS: The first project created was entitled “Catálogo de Registros.” It has 250 fields: eleven appear in the initial form, and 238 are branching logic. The second project, entitled “Catálogo de Saída de Amostras,” has 482 total fields, and five of these are present in the initial form. The existing data from 1997 until 2019 were inserted in the “Catálogo de Registros,” with 8703 individuals. Thirty-seven names appeared in duplicate, and only one record was kept for the different samples from the same person. Since the beginning of 2020 data were entered by students and researchers on the platform. This new data insertion and storage model brought great benefits, such as the possibility of updating entries (alteration of the diagnostic hypothesis), controlled access to information, tracking changes, digital storage of the informed consent, gathering and organizing the results of different projects in a single location. CONCLUSION: We successfully implemented the database allowing a significant gain of time and data security. Furthermore, we obtained an improvement in the overall management of the information and stablished new culture of organization and quality standards. KEYWORDS: database; data security; data organization; data management. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 68 REDCAP PLATFORM: A DISTANCE TRAINING PROGRAM IN BRAZIL 1. Marcos Alves de Lima, Barretos Cancer Hospital; 2. Jéssica Peixoto Araújo, Barretos Cancer Hospital; 3. Rafael Vanhoz Ribeiro, Barretos Cancer Hospital; 4. Roberto Fernandes Ferreira, Barretos Cancer Hospital; 5. Marco Antonio Oliveira, Barretos Cancer Hospital; 6. Ricardo dos Reis, Barretos Cancer Hospital

29 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

BACKGROUND: As the percentage of publications has increased more and more, there is a great concern with the treatment of research data, how they are collected and where they will be stored. Therefore, the need for means of storage and data processing becomes increasingly important. In August 2020, the General Law for the Protection of Personal Data came into force. A law that requires respect for privacy, intimacy and honor when processing personal data. Considering that the number of research publications in Brazil grows every day and the technology continues to advance, the concern with data security becomes increasingly important. OBJECTIVES: To develop intermediate level training in REDCap in Brazil, using distance learning resources. METHODS: It involves the development of distance training. So, initially we will collect some personal information from students. The study is characterized as prospective longitudinal. The number of places offered will be 150. RESULTS: In all, 51 students completed the REDCap training, 14 (27.5%) from the first class and 37 (72.5%) from the second class. Most people who completed the course lived in the southeastern region of Brazil (66.6%). Describing the results of the knowledge assessment before and after the training, we observed, for the most part, an increase in the students’ grades, since of the 51 graduates, 47 (92.1%) increased their grades, 03 (5.9%) remained with the grades they remained unchanged and only one (2.0%) showed a drop in the final grade. CONCLUSION: The course fulfilled the main objective of training Brazilian students and researchers from different areas. In this way, it is possible to verify through our data a significant increase in the gain of knowledge about the platform. In addition, the course received support and encouragement from students to open new classes. KEYWORDS: Search; Education; Statistic; Data Quality. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap end-users support and/ or training strategies

A 69 A REDCAP COURSE PACKET IN PORTUGUESE 1. Marcos Alves de Lima, Barretos Cancer Hospital; 2. Jéssica Peixoto Araújo, Barretos Cancer Hospital; 3. Rafael Vanhoz Ribeiro, Barretos Cancer Hospital; 4. Roberto Fernandes Ferreira, Barretos Cancer Hospital; 5.Larissa Cristina Ferreira Silva, Barretos Can- cer Hospital; 6. Ricardo dos Reis, Barretos Cancer Hospital

BACKGROUND: The use of the REDCap Platform in Portuguese-speaking countries is increasing every year, however there is a lack of materials in Portuguese on the use of the most basic resources of the platform. In this way, we intend to prepare the first material in Portuguese and include it in the official Repository of the REDCap Platform. All REDCap Super Users have access to the Training Materials Repository page, however, despite containing many interesting materials, it is not possible to find any article or manual in Portuguese. In this way, it becomes interesting to add a course packet with content in Portuguese. OBJECTIVES: Make the first material in Portuguese included in the official REDCap Training Materials Repository. METHODS: The book is still in production and will be structured in two chapters written in Portuguese. In the first chapter, users will learn how to create simpler projects, input data and create reports. The second module presents more advanced REDCap topics, such as survey creation, Action Tags, Smart Variables and randomization. Chapters: 1. Basic REDCap topics: 1.1. BACKGROUND to REDCap, 1.2. Creating online questionnaires, 1.3. Calculated fields, 1.4. Longitudinal data, 1.5. Repeat Form, 1.6. User rights, 1.7. Add new record, 1.8. Generation of basic statistics, 1.9. Exporting databases to other software, 1.10. REDCap Mobile; 2. Advanced topics in REDCap: 2.1. Creation of questionnaires using data dictionary, 2.2. Importing data into REDCap, 2.3. Consistency in databases, 2.4. Survey, 2.5. Action Tags, 2.6. Smart Variables, 2.7. Consent Terms,2.8. Randomization lists. CONCLUSION: REDCap administrators at Vanderbilt University liked the material very much. After inclusion in the Training Materials Repository, this will be the first material in Portuguese on the page accessible to the Super Users of the platform. How- ever, it can only be released after approval from the Brazil National Library. KEYWORDS: Course packet; training materials; repository. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap end-users support and/ or training strategies

A 70 USE OF REDCAP AS A DATABASE IN THE INTEGRATION OF CLINICAL AND GENETIC DATA FOR A PRECISION MEDICINE RESEARCH PROJECT Miguel Fantin, Hospital Italiano de Buenos Aires, Buenos Aires (Argentina); Marcela Martinez, Hospital Italiano de Buenos Aires, Buenos Aires (Argentina); Mauricio Brunner, Hospital Italiano de Buenos Aires, Buenos Aires (Argentina); Sonia Benitez, Hospital Italiano de Buenos Aires, Buenos Aires (Argentina); Daniel Luna, Hospital Italiano de Buenos Aires, Buenos Aires (Argentina).

BACKGROUND: Precision medicine improves prevention, diagnosis and treatment of patients based on the genetic characteristics of each person. A common challenge that precision medicine projects face is the integration of clinical information with data generated from different sources. OBJECTIVES: The objective of this study is to describe the use of REDCap, a data capture software, as part of the computer strategy implemented for the integration of clinical and genomic data in the Tumor Genomic Actionability Map of Argentina (MAGenTA) project, a precision medicine research project focused on the clinical actionability of oncological drugs. METHODS: This study was carried out at Hospital Italiano de Buenos Aires, a hospital certified at level 7 by the Health Informa- tion Systems and Management Society (HIMSS). REDCap was used as a storage layer for the study data of the MAGenTA project. The forms of this project capture the clinical and genetics information of the patients and their samples. The data generated by the

30 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

MAGenTA project are freely available to the scientific community, a software was developed that is responsible for obtaining and processing the information from REDCap so that it can be uploaded to cBioPortal for Cancer Genomics, a web platform for the visualization and analysis of clinical and genomic data. RESULTS: During 2020, 8 forms were implemented in REDCap. 5 of them to load patient information and 3 for their samples. The latter are repeated 3 times to increase the biopsy load capacity per patient. Data from 186 samples have been integrated so far. The implemented study of the cBioPortal platform can be accessed from https://magenta.hospitalitaliano.org.ar. CONCLUSION: The combination of REDCap and cBioPortal tools is a promising option for Precision Medicine projects in On- cology in which the information must be updated over time as it is collected. KEYWORDS: Precision Medicine; Genetics; Data Integration; Medical Oncology. PRESENTATION: Best Abstract Session SECTION: REDCap Interoperability and/or IT infrastructure

A 71 APPLICATION TOOL FOR MEDICAL SPECIALIZATION PROGRAMS (MP) Cristóbal Carvajal, Universidad FInis Terrae; Idalia Sepúlveda, Universidad FInis Terrae; Ernesto Vega, Universidad FInis Terrae

In Chile, applying to Medical Specialization Programs (MSP) is a standardized process regulated by an organization named CONACEM. Due to the high number of candidates, and a reduced number of positions this standardized process is critical in the selection of the applicant. In this selection process there’s different stakeholders that had to review and verify the information and documents that the applicant presents and interview the candidates in order to make a final decision. Until 2020 at Universidad Fin- is Terrae the candidates had to submit a physical folder with their background information printed. The documents were reviewed, and the data was transcribed to Excel, in order to have an application database. This manual process was limited and involved too many hours of digitization time and punctuation errors due to transcription. Applicants also had to take a phycological and an academic interview, in which the backgrounds folder has to available for the interviewer. This was dependent on a physical folder, that must be accessible in each activity. In addition to being cumbersome and involving a lot of manual tasks, this process was slightly supported by technology. To address this problem, we studied the processes using Lean methodology detecting unnecessary steps and process inefficiencies. We developed 1 REDCap project with forms adapted to the needs of each stakeholder in order to improve user experience, allow an expedited data capture, improve performance in time consuming activities and automatization of mechanical tasks. The implementation of this innovation was carried out using the Greenhalgh Model to guarantee adherence to REDCap use, emphasizing on prior training, continuous advice, flexibility, fast re-adjustments and enhanced mutual responsibility. This new paperless tool impacted the 2021’s application for MSP process in a positive and significant way and we did a safer, easier and lean process for all the stakeholders. KEYWORDS: Data Collection; Quality Improvement; Education; Medical; Graduate. PRESENTATION: Oral Presentation SECTION: REDCap for monitoring quality indicators or operational projects

A 73 THE USE OF THE REDCAP PLATFORM TO ASSESS HEALTH ASPECTS IN ORTHOPEDIC TRAUMA PATIENTS AT A PUBLIC HOSPITAL IN SÃO PAULO Vitória Lammoglia Milioni, Faculdade de Ciências Médicas Santa Casa de São Paulo; Gislene Gomes da Silva, Faculdade de Ciências Médicas Santa Casa de São Paulo; Cristiane Camilo Hernandez, Faculdade de Ciências Médicas Santa Casa de São Paulo; Vivian Bertoldi Xavier, Faculdade de Ciências Médicas Santa Casa de São Paulo; Cláudio Cazarini Júnior, Faculdade de Ciências Médicas Santa Casa de São Paulo; Diego Galace de Freitas, Faculdade de Ciências Médicas Santa Casa de São Paulo

BACKGROUND: The annual incidence of individuals who suffer fractures is increasing due to the daily demand for mobility and exposure to traumatic factors. The orthopedic patient has high mortality rates due to a higher risk of developing hospital complications, presenting more readmissions and consequently public health costs, representing a significant epidemiological impact, increasingly burdening society. OBJECTIVES: To trace the epidemiological profile of the patient in the postoperative period of orthopedic fracture in a public hospital in São Paulo. METHODS: Cross-sectional study that aims to evaluate and characterize patients hospitalized for orthopedic fractures, addressing biopsychosocial aspects and investigating trauma characterization variables. The instruments used in data collection were developed on the REDCap platform by specialists in Musculoskeletal. RESULTS: A total of 100 patients were collected, mostly men, with an average age of 44 years and overweight. The level of education was considered low in 43.1% of the sample with 90% employed and with a monthly income of 1 to 2 minimum wages as average. The sample was considered to be mostly (38%) with isolated lower limb fractures, with an average hospital stay of 10 days, considering that only 5 of the 100 individuals assessed required intensive care. The analyzed variables reflected a low level of pain intensity, with moderate presence of anxiety and low for the outcome of hospital depression. In addition, a moderate rate of kine- siophobia and low for catastrophic thoughts about pain evidencing in the moderate health-related quality of life. CONCLUSION: The use of the REDCAP platform is extremely important for the management and security of the collected data when it comes to epidemiological control of public health. KEYWORDS: Orthopedic trauma; Epidemiology; Functionality; Quality of Life. PRESENTATION: Electronic Poster (e-poster)

31 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

SECTION: REDCap for monitoring quality indicators or operational projects

A 74 SURVEY ON THE REDCAP PLATFORM: PERSPECTIVE ON PHYSICAL THERAPY EDUCATION IN BRAZIL Gislene Gomes da Silva, Faculdade de Ciências Medicas da Santa Casa de São Paulo; Vitória Lammoglia Milioni, Faculdade de Ciências Medicas da Santa Casa de São Paulo; Diego Galace de Freitas, Faculdade de Ciências Medicas da Santa Casa de São Paulo, Alessandra Narciso Garcia, Campbell University; Cristiane Camilo Hernandez, Faculdade de Ciências Medicas da Santa Casa de São Paulo; Vera Lúcia dos Santos Alves, Faculdade de Ciências Medicas da Santa Casa de São Paulo.

BACKGROUND: Education field was directly impacted by the restrictions imposed to combat the spread of the SARS COV 19 virus and its variants. One of the alternatives to minimizing this impact was the use of digital platforms for remote access to classes and availability of study content. In Brazil, the use of technology had its adherence consolidated in several fields in search of promoting effective communication between educators and students. OBJECTIVES: The aim of this project will be the application of an electronic questionnaire for teachers and students of physio- therapy from undergraduate and graduate courses of physical therapy in Brazil regarding their perspectives on remote education in this moment of social distancing. METHODS: The questionnaire was developed in the REDCap platform environment for greater data security and reliability and will be made available as soon as approved by the Research Ethics Committee of the Faculty of Medicine of Santa Casa de São Paulo. Participants will have immediate access to the Free and Informed Consent Form that will be made available by email through the REDCap platform. RESULTS: The data will be analyzed using statistical software compatible with the platform. CONCLUSION: The results of this study are expected to contribute to a better understanding of the deficits in the structuring of the academic system, in addition to the possibility of proposals for improvements and use of teaching methodologies. KEYWORDS: Education; Distance; Higher Education Institutions; Physical Therapy Modalities; COVID-19; Pandemics. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 75 CUSTOM IMAGE MAP IN A USER SATISFACTION SURVEY ON-LINE MENTAL HEALTH ONLINE Roberto Ferreira, Moniele Ferreira, Marco Antônio Oliveira, Marcos Alves de Lima, Ricardo dos Reis

BACKGROUND: This study aims to report the experience of building a satisfaction survey instrument carried out by the Medical Assistance sector for employees at the Hospital de Amor de Barretos. The service offered, the object of evaluation of this study, was the psychological and psychiatric care provided by professionals at the Mental Health Clinic, which, during a Pandemic, were performed using information and communication technology, such as online care. OBJECTIVES: Develop a questionnaire capable of measuring satisfaction as well as difficulty when requesting / using the service offered to employees and their dependents of the online service of the Mental Health Clinic using the external module of REDCap Custom Image Map using personalized images where the service users can qualify the service received from 5 “faces” that represent emotions, available in the tool and very similar to those already used as a form of language in social networks and other means of communication. METHODS: The configuration of the external module was performed, where it is first necessary to map the parts of the image, -us ing https://www.image-map.net/ where afterwards a code is generated that defines a “clickable” link within the image. For example, the part I want to be “clickable” is just the faces. RESULTS: As soon as the implementation was carried out and this form of questionnaire was put into practice, thus leaving the conventional model. Soon after, it was possible to view the answers by going to the reports section and having access to all the answers that were submitted. CONCLUSION: With the use of the external module in the name indicator project: User satisfaction on call online mental health “We can see the dynamism and the facilitation of the research participants, where we were then able to measure both quantitatively and qualitatively how the service was performed. KEYWORDS: REDCap; External modules; Survey; Custon image MAP. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 76 REDCAP AS A TOOL FOR ORGANIZING CLINICAL AND EPIDEMIOLOGICAL DATA ON INTESTINAL FAILURE IN BRAZIL Juliana Marquezi Pereira, HCFMUSP; Juliana Miyuki Garcia Tanji, HCFMUSP; André Dong Won Lee, HCFMUSP; Valdecy Miranda Barbosa, HCFMUSP; Daniele Abud Quagliano, HCFMUSP; Flávio Henrique Ferreira Galvão, HCFMUSP; Maira Branco Rodrigues, HCFMUSP; Mariana Hollanda Martins da Rocha, HCFMUSP; Lucilene Boullon, HCFMUSP; Maria de Fátima Silva Miyamoto, HCFMUSP; Tatiana da Cunha Rana, HCFMUSP; Thanya Alejandra Scavia Martins, HCFMUSP; Daniel Reis Wais- berg, HCFMUSP; Rafael Soares Nunes Pinheiro, HCFMUSP; Rubens Macedo Arantes Junior, HCFMUSP; Luiz Augusto Carneiro D’Albuquerque, HCFMUSP.

32 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

BACKGROUND: When the intestinal rehabilitation and intestinal and multivisceral transplantation program started at the Hos- pital das Clínicas of the Faculty of Medicine of the University of São Paulo (HCFMUSP) in 2012, referrals from Health Services throughout Brazil have been made so that patients could receive specialized treatment. However, due to the impossibility of assist all the demand, a questionnaire was developed requesting health and treatment information for the screening of cases. All data received were indexed, including those that were not accepted for treatment at HCFMUSP. The REDCap presents as an important resource for organizing this information and a source of epidemiological data that in the future can be used as indicators for resource management and assisting this demand. OBJECTIVES: To create a database with information of patients with intestinal failure health status and treatment as a source of epidemiological data in Brazil. METHODS: Develop a database based on the specific questionnaire designed for screening. RESULTS: It was observed that the use of REDCap for organizing the data of patients followed up at HCFMUSP and those referred, that weren’t accepted in the program is relevant to gather information from Brazil. This makes it possible to obtain more precise information about the incidence of this pathology in the country and its particularities, such as the etiology of failure, surgeries performed, clinical data, transplant indication, etc. In the future, the gathering of this information can base organizations and investments in health services to meet the treatment demands of these patients, aiming at distribution of resources improvements. CONCLUSION: The use of REDCap for the systematization of clinical data and a source of Brazilian epidemiological data on patients with intestinal failure is effective for organizing information, making it possible to gather data from all over the country with greater precision. KEYWORDS: Health Status Indicator; Short Bowel Syndrome; Database. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 77 IMPLEMENTATION OF A REDCAP DATABASE FOR RESEARCH DATA COLLECTION AND OPERATIONAL SUP- PORT IN A THORACIC SURGERY DEPARTMENT: AN EXPERIENCE REPORT Priscila Berenice da Costa, Instituto do Coracao, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, BR.; Leticia Leone Lauricella, Instituto do Cancer do Estado de São Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, BR.; Lucas Matos Fernandes, Instituto do Coracao, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, BR.; Mariana Rodrigues Cremonese, Insti- tuto do Coracao, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, BR.; Ricardo Mingarini Terra, Instituto do Cancer do Estado de São Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Univer- sidade de São Paulo, São Paulo, SP, BR.; Paulo Manuel Pêgo Fernandes, Instituto do Coracao, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, BR.

BACKGROUND: Data collection is a cornerstone to support the decision-making process and provide information of quality for research purposes. However, collecting data routinely is very challenging, especially for the medical team that provides a direct patient assessment. The REDCap® makes the data collection process easier. OBJECTIVES: Report our experience with the implementation of the REDCap® surgical database in the thoracic surgery department and the medical staff adhesion of our institution. OBJECTIVES: To facilitate the cooperation with national and international databases (IASLC, SBCT, ISHLT, and ESTS) and following our previously excel spreadsheet databases we designed a new surgical database on REDCap® in InCor, and ICESP in HCFMUSP. We collect information about demographics, preoperative, intraoperative, postoperative, and follow-up. Each thoracic surgery group (A: lung transplant, B: trachea, C: general thoracic surgery, and D: oncology) has one responsible to supervise the prospective feeding of the database and checking the follow-up. Every surgery is included by the responsible surgeon at the end of the procedure. In the 1stphase of the implementation, we trained, and made adjustments, include new variables based on our necessities. RESULTS: 1,788 surgeries were recorded from October 2010- January 2021 (413, 747, 341, and 287 from A, B, C, and D, respectively). Regarding preoperative information in the four groups, the major missing data is about FEV1 test (69.7%; 40.1%; 83.9%, and 54.4%), followed by BMI (1%, 37.7%; 29%; 6.6%). This is essential information for clinical research since we can outline the patient’s profile attended and thus elaborates a better therapeutic plan appropriate to our population. Also, the partnership in studies with the international databases allows us to better represent the Brazilian population. CONCLUSION: The 1st implementation was successful, but we need to encourage registrars to make the database a culture routine in the hospital. In addition, we need to promote training for recorders, and periodic audits of data quality. KEYWORDS: Electronic data capture; Database management systems; Electronic health record; Clinical. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 78 IMPLEMENTATION AND USE OF REDCAP AT FIOCRUZ-PE, ADVANCEMENT AND RECOGNITION OF THE BEN- EFITS THAT THE PLATFORM BRINGS TO THE AREA OF PUBLIC HEALTH RESEARCH Ivandro Santana, Instituto Aggeu Magalhães / Fiocruz-PE; Wayner Vieira de Souza, Instituto Aggeu Magalhães / Fiocruz-PE.

In 2019 Fiocruz-PE has sinaled with an offer of a Stricto Sensu program for the employees that work in the management area of

33 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

the institute. As an IT Analyst, i developed a project proposal to promote and prospect the use of information technology tools as facilitating interfaces in the area of public health research. The platform chosen to publicize and show the viability of my project was REDCap, due to the correlation with the area of data science. After studying the documentacion, and get the consortium’s authorization, i installed version LTS 8.10.16 (currently: 9.5.24) on a virtual machine running in VMware ESXi 5.5 with 250GB of HD, 6GB of RAM and 2x2 CPU’s, meeting all requirements of security and scalability of the software. I found a researcher from Fiocruz-PE very enthusiastic about REDCap, D.r (a) Cynthia Braga, who had already used the platform in partnership with other institutions. Together we promoted some REDCap classroom training at Fiocruz-PE, in partnership with Fiocruz-RJ. Since then, and after another internal actions to promote the tool, Fiocruz-PE researchers’ adherence to REDCap has increased. As a result, we have large projects using the platform in progress, such as: NeuroCOVID Project: Association of SARS-CoV-2 with the occurrence, prognosis and pathogenesis of cerebrovascular diseases and other neurological manifestations, under coordination by D.r(a) Cristiane Bresani, with the participation of more than twenty institutions, and, Covid-19: clinical, epidemiological, laboratory standards, cytokine kinetics, persistence and viral load and associated risk factors to the severe form of the disease, in patients admitted to a tertiary hospital in northeastern of Brazil, coordinated by D.r(a) Cynthia Braga, with the participation of approximately fifteen technical members. Today I can say that the strategy of promoting REDCap helped me a lot in accepting my project, and that I am officially enrolled in the program. KEYWORDS: Data Science; Public Health and Clinical Research. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap end-users support and/ or training strategies

A 79 USE OF REDCAP TO ASSESS THE IMPACTS OF THE COVID-19 PANDEMIC ON SCIENTIFIC PRODUCTIVITY Felipe Mendes Delpino, Federal University of Pelotas; Luísa von Zuben Veçoso, University of Campinas; Leila Posenato Garcia, Insti- tute of Applied Economic Research; Tais Freire Galvão, University of Campinas; Bruno Pereira Nunes, Federal University of Pelotas

BACKGROUND: The covid-19 has been accompanied by explosive growth in related scientific publications. However, measures to restrict interpersonal contact necessary to tackle the pandemic can potentially reduce scientific productivity. OBJECTIVES: We aimed to assess the pandemic’s gendered impacts on scientific productivity among reviewers and editors of scientific journals. METHODS: We conducted an online survey using the REDCap software with reviewers and editors residing in Brazil. The questionnaire was structured on a single page and included questions about sociodemographic characteristics, scientific production during the pandemic, and psychological behavior questions. Branching logic, filters, checkboxes (multiple answers), automatic jumps, and matrix columns were used to optimize the responses’ structure. The survey link generated by REDCap was widely disseminated in scientific journals’ social media, graduate programs, and communities aimed at journal editors and reviewers. The study was approved by the Ethical Review Board of the School of Medicine of the Federal University of Pelotas (37082720.9.0000.5317). RE- SULTS AND CONCLUSIONS: We received 1,320 responses, most from women (64%) and aged between 40 and 59 years (47%). More than 42% of the sample reported a decrease in the time dedicated to research activities. This proportion was higher in women (45%) compared to men (37%). Almost 40% of women reported a decrease in the time dedicated to writing scientific articles, while 30% of men reported this condition. For those with children, the reduction in research activities and writing articles was 49 and 44%, while those without children were 36 and 29%, respectively. The proportion of valid responses was 99.5%. REDCap was a useful tool to collect data on the gendered impacts of the pandemic on scientific productivity. Our data demonstrated an important reduction in scientific productivity during the pandemic among the respondents, especially among women and those with children. Keywords: Covid-19; Periodicals as topic; Gender differences. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap and COVID-19

A 80 ORTHANC-COVID: A MULTIMODAL CLINICAL DATA REPOSITORY OF COVID-19 Instituto Dor, Rodrigo Basilio; Instituto Dor, Marco Conrado

BACKGROUND: The Covid-19 pandemic has made a huge impact in the life of people worldwide. Many researchers around the world are striving to understand this infection consequences in human body, to give better life perspective to the infected people. In this work, we report the ongoing construction of a multimodal database of clinical data and images of admitted patients with Covid-19 in D’Or Network. OBJECTIVES: This database was created to support ongoing projects at D’Or Institute, with the objective to understand, quantify and detect the anomalies caused by Covid-19, using advanced processing techniques, including machine learning. METHODS: Patients with Covid-19 admitted at D’Or Network that went to intensive care and met the inclusion criteria in at least one of the active Covid-19 projects in D’Or Institute, had all their data included in REDCap, if they properly consent in share their data in this database. From this moment, all clinical information is stored in REDCap. The images of all exams performed in the patients in the REDCap database are recovered, anonymized, compressed, and sent to an ORTHANC image server, by an automated process the uses the REDCap API to recover the most recent list of patients to work with. The ORTHANC server was configured in a cloud infrastructure in the Amazon Web Services (AWS) to facilitate the image sharing and evaluation by the partner researchers. RESULTS: This database already supported the publication of three works, two in international journals. Partnerships with other institutions were to process the images with the most advanced machine learning techniques to investigate the ability to detect

34 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

Covid-19 related anomalies. CONCLUSION: In this work we report the experience of creating a database of clinical and imaging data of intensive care unit patients suffering from Covid-19. KEYWORDS: Covid-19; Machine learning; Multimodal clinical database. PRESENTATION: Oral Presentation SECTION: REDCap and COVID-19

A 81 REDCAP AND CUTANEOUS MANIFESTATIONS IN COVID-19 Margareth Catoia Varela, LIVS/INI/Fiocruz; Cassio Battisti Serafini, Lapclin-Derm/INI/Fiocruz; Paula Figueiredo de Marsillac, Lapclin-Derm/INI/Fiocruz; Priscila Marques de Macedo, Lapclin-Derm/INI/Fiocruz; Dayvison Francis Saraiva Freitas, Lapc- lin-Derm/INI/Fiocruz

BACKGROUND: Although the main effect of Sars-CoV-2 is not on the skin, but on the respiratory system, cutaneous manifestations associated with the disease caused by this new coronavirus (COVID-19) have been described. The study of the clinical, histopathological, immunological, and virological aspects of skin lesions in patients with COVID-19 is important to understand their mechanisms. OBJECTIVES: To analyze the use of REDCap to manage data and images from dermatological evaluation of skin lesions in patients with COVID-19 in a reference hospital in Rio de Janeiro/RJ, Brazil. METHODS: Two evaluation visits were planned and designed on REDCap using two forms: one to collect clinical data containing 36 fields and the other to record and store up to 15 photos with their respective descriptions. In the clinical data collection form, the external module Image Map-v-1.7.0 was used with the PAINMAP_MALE option to facilitate the registration of lesion sites. RESULTS: Dermatologists evaluated 1,011 patients between 06/25/2020 and 11/27/2020. Due to the complexity of the clinical evaluations in this period and to the potential of transmissibility, real-time filling was not possible and data is now being entered in REDCap, in order to provide a complete database, safe and ready to be analyzed. CONCLUSION: In the context of a large number of severe and complex cases to be evaluated requiring use of personal protective equipment, the use of REDCap facilitated the assistance and research routines within a reference hospital, allowing to record and share data as well as clinical images of the patient’s evaluation by a small team. Possibly, more experienced doctors in home-office could contribute to optimize the time and quality of clinical and data analyses during the pandemic. KEYWORDS: Dermatology; COVID-19; Information Technology; Telemedicine. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap and COVID-19

A 82 USE OF ELECTRONIC CHECKLISTS IMPROVES AUDIT APPLICATION TIMES: RANDOMIZED CLINIAL TRIAL Darlan Sebastião da Rosa, IC-FUC; Otávio Luiz da Fontoura Carvalho, IC-FUC; Milena Silva Valli, IC-FUC; Thaís Carolina Mo- raes de Oliveira, IC-FUC; Anderlise Bard Luzivetto, IC-FUC; Darlene Balbueno Espinosa, IC-FUC; Daniela Alves Melgarecho, IC- FUC; Karlyse Claudino Belli, IC-FUC & HMV.

BACKGROUND: The implementation of protocols in care practice is a challenge within the routine of professionals. Previous research suggests that implementation of electronic protocols reduces the time for assessing patients and increases the quality of data collected when compared to the use of paper protocols. OBJECTIVES: Verify if the application of an electronic bundle protocol (e-Bundle) for ventilator-associated pneumonia presents differences on time of assessment and quality of data collected compared to a paper-based bundle (p-Bundle) in Intensive Care Units. METHODS: Six clusters were selected and distributed using a randomized clinical trial design per staggered cluster. Data was collected and analyzed using REDCap® software on a mobile device for data collection in electronic format. The hypothesis that the use of e-Bundle is faster than the use of p-Bundle was tested using t-test for independent samples. Statistical analysis was executed on SPSS® Statistics software. Data integrity was assessed using descriptive statistics. RESULTS: 336 audits were held (168 p-Bundle and 168 e-Bundle protocols) in which 6 professionals (clusters) evaluated 85 patients. Data collection on electronic format had a time saving effect of 32% (p-Bundle=202±58 x e-Bundle=137±42 seconds, p<0.001). The total number of errors observed was 105 in 336 applications, all errors observed were in the p-Bundle condition. No error was observed at the time of the audit in the e-Bundle condition (0/168, 0%; p<0.001). CONCLUSION: Auditing patients in Intensive Care Units using REDCap® software is reliable and improves clinical assessing time and documentation without interfering in audits flow. Although the technique application in electronic format is not exempt from challenges, this study contributes to the growing body of evidence for electronic data collection as a viable method for health audit and research. KEYWORDS: Records Patient Care Bundles; REDCap; Electronic Health. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

35 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

A 83 DEVELOPING A PERENNIAL LIVER SURGERY DATABANK WITH REDCAP: THE HISTORICAL RESCUE AND THE IMPACT OF PROSPECTIVE DATA IN CLINICAL PRACTICE. EXPERIENCE WITH OVER 1,000 OPERATIONS Jaime Arthur Pirola Kruger, University of São Paulo; Gilton Marques Fonseca, University of São Paulo; Vagner Birk Jeismann, Uni- versity of São Paulo; Fabricio Ferreira Coelho, University of São Paulo; Paulo Herman, University of São Paulo.

BACKGROUND: Data is the raw material that researchers work on, so it´s reasonable to assume that scientific knowledge comes from data. In times when datasets are becoming larger and the need for academic collaboration increases, database creation, data collection and data curation are extremely important. OBJECTIVES: Describe our experience with clinical data management inside the REDCap platform with over 1,000 operations at Hospital das Clínicas / University of São Paulo. METHODS: REDCap platform was sought as it allows, beyond storage, to fulfill other needs: (1) adaptability (the program is cus- tomizable); (2) possibility to input data from previously treated patients; (3) easy to use interface; (4) patterned data insertion; (5) exported data is compatible with available statistic software and, at last, (6) is available at our institution, with low cost and on-line access when needed. Data from patients operated from 2000 onwards was rescued and inserted in the database. From September 2014 onwards, clinical information was inserted prospectively. The amount of data obtained was analyzed for it´s completeness and a surgical quality program was started based on such information. RESULTS: from September 2014 through February 2016 data from 716 operated patients was rescued along 500 hours of research. Prospective data insertion followed, resulting in 1299 subjects by December 2019. Data availability increased, i.e. tumor marker missing data dropped from 4.91% to 0.34% in patients operated for colorectal cancer metastases. The accrued data also fed our surgical quality program, changing operative strategies that ultimately reduced the blood transfusion rate from 19.6% to 10.0%. CONCLUSION: data management inside REDCap has proven to be easy and useful. Our team was able to rescue and keep information from patients previously treated, as well as to start a prospective robust database containing high quality information that translates to improved care on clinical practice. KEYWORDS: Database; Data Collection; Data Curation; Liver; Digestive System Surgical Procedures. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 84 REDCAP MOBILE AND REDCAP WEB IN THE MANAGEMENT OF A SCHISTOSOMIASIS COHORT STUDY IN A RURAL AREA IN THE NORTHEAST OF BRAZIL Bernardo Gratival G. Costa, Instituto Gonçalo Moniz - Fiocruz, Salvador - Ba; Marcos Vinicius L. de Oliveira Francisco, Instituto Gonçalo Moniz - Fiocruz, Salvador - Ba; Ronald Alves dos Santos, Instituto Gonçalo Moniz - Fiocruz, Salvador - Ba; Breno Lima de Almeida, Instituto Gonçalo Moniz - Fiocruz, Salvador - Ba; Thainá R. de Souza Fialho, Instituto Gonçalo Moniz - Fiocruz, Salvador - Ba; Yuri Tabajara P. Costa dos Santos, Instituto Gonçalo Moniz - Fiocruz, Salvador - Ba; Ane Caroline Casaes Teixeira, Instituto Gonçalo Moniz - Fiocruz, Salvador - Ba; Michael Nascimento Macedo, Instituto Gonçalo Moniz - Fiocruz, Salvador - Ba; Ricardo Riccio Oliveira, Instituto Gonçalo Moniz - Fiocruz, Salvador - Ba; Isadora Cristina de Siqueira, Instituto Gonçalo Moniz - Fiocruz, Salvador - Ba.

BACKGROUND: Schistosomiasis is a parasitic disease caused by Schistosoma helminths with a high impact on public health in endemic areas. It was reported in 74 countries with more than 200 million people infected worldwide and 1.5 million cases in Brazil. Studies in schistosomiasis are laborious due to the difficult access of remote rural regions and limited internet. OBJECTIVES: Describe the use of REDCap mobile and Web tools in managing a cohort study in a rural population. METHODS: The REDCap platform (Vanderbilty University) was adopted for data entry (as an alternative to printed forms) and database management. REDCap Mobile App v.5.0.9 and Web v.6.14.0 were used in five events on the study: 1.”Baseline pre-treatment assessment”, using offline tablets for data entry of sociodemographic, anthropometric, nutritional data and biological samples management; 2.”Treatment” with conducting mass treatment for schistosomiasis using calculated fields to calculate the dosage; 3.”Cure control”, performed 30 days after treatment using forms for the management of biological samples; 4 and 5.”Follow-up” with applications of forms after 180 and 360 days of treatment. RESULTS: 29 instruments were applied in 5 events, totalizing up to 76 forms filled throughout the study in an interconnected way. In the “pre-treatment assessment”, 344 participants were recruited. In “treatment”, praziquantel was administered to 298 participants. At the “Cure Control,” 236 were evaluated. At “Follow-up” 180 days and 360 days after treatment, 153 and 145 participants were assessed. It totaled 26.58 Megabytes of information. CONCLUSION: To conduct this study was challenging, and the use of REDCap Web and App mobile software played a crucial role in data collection, minimizing the use of printed forms and the need for typists. Also, it allowed excellent integration of data from the different events of the study. The tool was also used to manage biological samples and laboratory experiments. KEYWORDS: Schistosomiasis; Neglected Diseases; REDCap Mobile; Rural area. PRESENTATION: Oral Presentation SECTION: REDCap in research protocols

36 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

A 85 USE OF REDCAP AS A TOOL IN THE VACCINATION STRATEGY AGAINST COVID-19 IN LIVER TRANSPLANT PATIENTS Jairo Moreira, Juliana Marquezi, Daniele Quagliano, Lucas Souto, Luciana Haddad, Liliana Lopes, Rodrigo de Martino, Lucas Souto, Wellington Andraus, Luiz D´Albuquerque, University of São Paulo School of Medicine

BACKGROUND: Due to the COVID-19 pandemic, the government of the State of São Paulo redirected the infected cases to the Hospital das Clínicas of FMUSP, making it one of the treatment references in the country, which remodeled its routine, prioritizing serious cases, especially at risk groups. With the approval by ANVISA of vaccines against COVID-19, plus the future perspective of mass vaccination of the population and the recommendations of the Infection Commission on Transplants (COINT) and the Brazilian Association of Organ Transplants (ABTO) for vaccination of transplant recipients, there was a need for the service to monitor vaccination for COVID 19 of its transplant recipients. OBJECTIVES: To use REDCap as a database, monitor and evaluate transplant patients during vaccination against COVID-19. METHODS: It was based on a prospective study of 1707 records already existing in the service of liver transplant patients, first performing a screening of the living and those who died; variables were created for the monitoring and evaluation of vaccination and its doses, according to the schedule that will be established by the Department of Health. RESULTS: it was possible to stratify in the database a list of those who will need the vaccine and the deaths that occurred during follow-up. As patients are vaccinated, it will be possible to monitor the development of post-vaccine reactions, manage the administration of second doses, know which type of vaccine is administered and feed a panel of indicators with statistics on the reactions related to immunosuppressive treatment. CONCLUSION: The REDCap tool is easy to handle, flexible and robust, and has provided the service with the necessary support in the management of the database and, consequently, in care decisions, in addition to providing information for future studies and publications of transplant patients and now that will be vaccinated for COVID-19. KEYWORDS: Liver transplantation; COVID- 19; COVID- 19 vaccination. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap and COVID-19

A 86 USE OF REDCAP AS A CONTINUING TRAINING AND EDUCATION TOOL FOR HEALTHCARE PROFESSIONALS AT A NEWLY OPENED COVID HOSPITAL Pablo Quesado, INI/Fiocruz; Graziele Scofano, INI/Fiocruz; Fernanda Lima-Setta, IFF/Fiocruz; André Japiassu, INI/Fiocruz;

BACKGROUND: Adherence to face-to-face training of health professionals in a hospital environment is a major challenge for various reasons. The challenge became greater in a newly built hospital for the treatment of COVID19, requiring the training of the entire team in a short time, without the possibility of group training and without the use of printed paper. We use REDCap Surveys as online training, enabling professionals to a quick and convenient access from any device, at any time. OBJECTIVES: Describe the first training conducted with REDCap at Centro Hospitalar Covid-19 (INI / Fiocruz). METHODS: The pilot project was In-hospital transport protocol training, comprised of five stages: professional identification, protocol description, sign of acknowledgement with electronic signature (e-Consent), post-test questionnaire, explanatory video for professionals with a score <7 and a second post-test. Target audience was 869 health professionals. Training was available through the Public Survey URL, the link was sent electronically and it could be accessed on the team’s Tablets inside the hospital complex. RESULTS: After 5 days, 668 (77%) professionals had already undergone the training: 75 doctors (48%), 105 physiotherapists (78%), 159 nurses (85%), 311 nursing technicians (83%) and 18 transport agents (100%). 540 (80.8%) professionals scored ≥ 7 in the first post-test and completed the training successfully. 121 (18.1%) went to the second stage with an explanatory video, performed the second post-test and obtained a score ≥ 7. Only 7 (1.1%) professionals scored <7 and had to receive presential training. CONCLUSION: Adherence to training was above expectations, especially for professionals with technical level, which demonstrates the usability of the tool. The availability of tablets for the assistance team was fundamental to the success of the project. REDCap proved to be an excellent tool for conducting training for the healthcare team, demonstrating the multiplicity of functions and uses for the system. KEYWORDS: Health Human Resource Training, covid19 PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap end-users support and/ or training strategies

A 87 IMPLEMENTATION OF A REDCAP TOOL TO AUTOMATE THE BREAST CANCER STAGING ACCORDING TO THE AJCC 8TH EDITION IN A LONGITUDINAL COHORT Lindson Mühlmann, Division of Breast and Gynecologic Oncology, Department of Gynecology and Obstetrics, Ribeirão Preto Medical School - University of São Paulo; Franklin Fernandes Pimentel,Division of Breast and Gynecologic Oncology, Department of Gyne- cology and Obstetrics, Ribeirão Preto Medical School - University of São Paulo ; Francisco José Candido dos Reis,Division of Breast and Gynecologic Oncology, Department of Gynecology and Obstetrics, Ribeirão Preto Medical School - University of São Paulo .

BACKGROUND: The development of a database to assess the impact of the COVID-19 pandemic on patients treated for breast

37 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

cancer requires the collection of clinical information related to both patients and the tumor, in addition to the need to calculate staging, according to the most current classification (AJCC 8th edition). Even though the project requires different fields that identify the epidemiological characteristics of patients under treatment, specifically the fields related to staging are complex, as they comprise seven tables and 131 possible combinations, which are usually obtained by doctors through online or mobile applications. OBJECTIVES: To use REDCap in clinical research, by storing and automating information for breast cancer research, in order to decrease working time and the risk of errors in manual information transcription, increasing research reliability. METHODS: Using the standard REDCap user mode, in addition to the implementation of other fields for the project, the development of functionality to automate the staging classification was implemented, aiming to reduce the risk of calculation bias and manual transcriptions of this information. RESULTS: The both calculated fields, anatomic and prognostic staging, used the “If” decision structure and the combination of the following fields related to patient treatment: TNM system, degree of differentiation, estrogen and progesterone receptors expres- sion, and HER2 overexpression. Possession of this information, it was possible to include the seven tables arranged in the eighth edition of AJCC, automatically in REDCap. CONCLUSION: The implementation of these two fields, among 184 fields arranged in the project, has a positive impact on the project due to its complexity. The possibility of obtaining staging automatically, in REDCap, is a facilitator in the use of databases related to breast cancer and could be useful to cancer research groups worldwide. KEYWORDS: Breast Neoplasms; Neoplasm staging; Systems integration; Health care; Bias. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 88 USING REDCAP AND ITS INCREDIBLE FLEXIBILITY TO APPLY ONLINE TESTS IN HIRING PROCESS AT SÍRIO-LIBANÊS Camila Santana Justo Cintra Sampaio, Sírio-Libanês; Leandro Moraes, Sírio-Libanês; Evelise Ferreira Castro, Sírio-Libanês; Beatriz Azevedo Veres, Sírio-Libanês; Bianca Lopes Nyari, Sírio-Libanês; Eduardo Fernandes Abrantes, Sírio-Libanês

BACKGROUND: The hiring process at Sírio-Libanês mostly goes through an initial phase of applying technical assessment tests. Until the beginning of 2020, all tests application were carried out in person. However, with the changes imposed by the COVID-19 pandemic, this process became digital, supported by a platform that was already available at the institution. This platform, although functional, requires great effort to schedule the tests, making unfeasible to meet the growing demand, in addition, it presents a complicated flow for applicants to reach the test form. OBJECTIVES: Create a REDCap project to support the implementation of online tests and its application, with the premise of being agile to scale easily in a high-demand scenario and providing easy and intuitive interaction for both human resources team and for the applicants. METHODS: The REDCap project was designed to have an instrument to schedule tests, an instrument to score applicants’ answers, and one survey instrument for each different test. Two external modules were used, Form Render Skip Logic and Shazam to customize the test form with features such as a timer for the remaining test time and automatic form submission. Two Python scripts were developed on AWS Lambda, one to give more flexibility in scheduling dates and another to generate Excel spreadsheets and sends it by email. RESULTS: Currently, REDCap is the only platform used by Sírio-Libanês to apply online tests for the hiring process. The project already has more than 51 different types of tests, 50 instruments and 3200 variables. The time consumed to schedule a test was reduced by 94%, accounting for more than 5300 applied tests in 10 months. CONCLUSION: This project has provided an extraordinary solution for online tests application, meeting a high demand scenario and presenting an easy and intuitive interface with straight access to tests and results. KEYWORDS: Personnel Selection; Personnel Management; Management Information Systems. PRESENTATION: Oral Presentation SECTION: REDCap for monitoring quality indicators or operational projects

A 89 ACOMPANHAMENTO REMOTO DOS PACIENTES REUMATOLÓGICOS DO AMBULATÓRIO DE UMA UNIVERSI- DADE BRASILEIRA POR MEIO DA PLATAFORMA REDCAP: UM RELATO DE EXPERIÊNCIA Eric Slawka, Universidade Federal do Rio de janeiro; André Luiz Ferreira Bezerra, Universidade Federal do Rio de Janeiro; Thayná Stephanie Mattozinho Pires, Universidade Federal do Rio de Janeiro; Beatriz Villar Cerqueira, Universidade Federal do Rio de Janeiro; Giovanna Baldanzi Morgan Loureiro, Universidade Federal do Rio de Janeiro

BACKGROUND: Throughout the pandemic, rheumatological patients from an outpatient clinic at a Brazilian university were con- fined to their respective homes. In order to give them some emotional comfort and to evaluate the influence of the disease-modify- ing antirheumatic drugs (DMARDs) towards coronavirus infection, the Brazilian Rheumatology Society (SBR) promoted a study in which medical students remotely accompanied the patients. OBJECTIVES: The main goal was to analyze whether the patient’s chronic treatment, especially with chloroquine or hydroxychlo- roquine, had any kind of influence in the coronavirus contraction and symptoms, as well as their overall health status. METHODS: The volunteer students, via telephone, interrogated the patients and, if possible, one cohabitant, with predetermined questions. There were six calls in total and at least one more for those who declared themselves symptomatic. They were questioned

38 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

about their overall health and their quarantine status, as well as their surroundings. The data reported was recorded directly on REDCap platform in a previously assembled questionnaire that led the interviewer to ask additional necessary questions. Thir- ty-seven undergraduate students and one medical residency student guided by two university professors participated in the study. Among these students, six of them were Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) fellows. A study was conducted by 226 patients and family members. RESULTS: During the interaction between students and patients, while students were gaining knowledge about an international platform in the field of clinical research, the patients were comforted in the time their appointments were canceled. CONCLUSION: The study promoted by SBR and developed by students analyzed the protection of antimalarials against COV- ID-19. This was accomplished through telephone, using the REDCap platform. At the end, an internal research showed that the students, in addition to learning how to use the REDCap platform, presented an improvement in their mental health. KEYWORDS: Ambulatory Care; Rheumatology; Quarentine. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 90 CHALLENGES OF THE USE OF REDCAP FOR THE CLINICAL TRIALS DATA MANAGEMENT AT A LEPROSY OUTPATIENT CLINIC Ximena Illarramendi, Fiocruz; Monique Gurgel de Oliveira, Oswaldo Cruz Institute

BACKGROUND: High-quality research aligned to key priorities in Hansen’s disease (HD) is essential to leave the current stagna- tion period in the control of this neglected disease and achieve the goal of zero disability, discrimination, and new cases by 2030. Aligned with these goals, the Souza Araújo Outpatient Clinic (ASA), at Oswaldo Cruz Institute (IOC), a Reference Centre for the health care and research of HD is engaged in several clinical trials. Thus, the decision to implement REDCap for optimal data management. OBJECTIVES: To ensure data quality of clinical research by means of REDCap at a Hansen’s disease outpatient clinic. METHODS: Description of the development and implementation process of REDCap at ASA for clinical research data management in accordance with good clinical practices (GCP). ASA has a multidisciplinary team with experience on clinical and translational research, and has a specific developed system - Sistema ASA - that integrates the information captured in the clinical and laboratory activities produced from both research and health care of people affected by HD. After full implementation, we pretend to study the interoperability options between Sistema ASA and REDCap. RESULTS: Two of the clinical trials were submitted and selected at research calls from the Vice-Presidency for Research and Bi- ological Collections (VPRBC/Fiocruz). The VPRBC Clinical Research Platform provides REDCap access and support for these projects. For the other projects, access was obtained through contact with an IOC researcher that is the institution administrator. The IOC information technology department was involved for data hosting and backup. Although the health team is experienced with handling data, they needed training to use REDCap. CONCLUSION: The ASA research team had to overcome several challenges to guarantee the quality, reliability and accessibility of clinical research data by means of REDCap. Institutional support should be widespread to guarantee research data quality produced at IOC. KEYWORDS: Clinical trial; Leprosy; Data management. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 91 SCIENTIFIC AND ASSISTANCE EXPEDITIONS PROGRAM (PECA): USE OF REDCAP IN DATA COLLECTION Cristiane Camilo Hernandez, Santa Casa de São Paulo School of Medical Sciences; Paulo Carrara de Castro, Santa Casa de São Paulo School of Medical Sciences; Wagner Ricardo Montor, Santa Casa de São Paulo School of Medical Sciences; Manoel Carlos Sampaio de Almeida Ribeiro, Santa Casa de São Paulo School of Medical Sciences; Rodrigo Calado Silva, Santa Casa de São Paulo School of Medical Sciences.

BACKGROUND: PECA is an activity of the Santa Casa de São Paulo School of Medical Sciences Extension Program, developed by students and professors and has been happening for the last 16 years. Its objective is to expose students to different social realities, encouraging them to commit to the integral care of patients and develop social responsibilities, besides assisting the munic- ipalities of the State of São Paulo to improve the service provided by the local health system (SUS). In PECA, the data collected are very important to inform authorities about health issues of the population served and the development of research related to the program. OBJECTIVES: to use REDCap for the offline collection of demographic and clinical data from medical consultations carried out in a scientific and assistance expedition program. METHODS: a prospective study using two instruments developed in REDCap, the first for demographic research and the second for the patient’s clinical record. The instruments were developed by the program members and their structures were designed based on the regularly used printed forms. The research questionnaire aims to collect demographic data and the patient´s record, clinical data. Approximately 200 students were trained to collect data during the event. To assist those involved in the collection process, support material was developed and made available to all regarding the use of the platform. RESULTS: two instruments were developed and used during the expedition successfully, as reported by the students. At the end of

39 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

each day, the application allowed the immediate evaluation of the data collected. CONCLUSION: The use of different instruments developed on the REDCap platform for data collection during the event generated valid databases and can be applied in different events promoted by the expedition. They also generated quality indicators, enabling the immediate analysis of the data. KEYWORDS: Demography; Data Collection; Social Responsibility. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 92 SKIN CANCER CAMPAIGN: REDCAP USE FOR DATA COLLECTION Cristiane Camilo Hernandez, Santa Casa de São Paulo School of Medical Sciences; Adriana Pessoa Mendes Eres, Santa Casa de Misericórdia de São Paulo; Rodrigo Calado Silva, Santa Casa de São Paulo School of Medical Sciences; Wagner Ricardo Montor, Santa Casa de São Paulo School of Medical Sciences; Manoel Carlos Sampaio de Almeida Ribeiro, Santa Casa de São Paulo School of Medical Sciences.

BACKGROUND: the Skin Cancer Prevention Task Force, organized by the Brazilian Society of Dermatology (SBD) throughout Brazil, aims to raise awareness and alert the population about prevention, diagnosis and treatment of the disease. According to the National Cancer Institute (INCA), 180,000 new cases of the disease are diagnosed annually. Thus, it is pertinent to investigate the profile of those assisted in the task force at a teaching hospital. OBJECTIVES: use a REDCap instrument for offline collection of clinical data from the clinical care visits at a teaching hospital during the Skin Cancer Prevention Task Force. METHODS: it is a prospective study that uses a REDCap developed instrument to collect clinical data during the campaign at the teaching hospital. The instrument was developed by medical doctors and students at our departmant. Its structure within the REDCap platform was developed based on a spreadsheet created by SBD where the following are evaluated: age, sex, phototype, degree of sun exposure, personal or family history of skin cancer, information about the campaign and if the patient has skin cancer diagnosed during the dermatological examination of the campaign. Thirty volunteer students from the Dermatology League of our school were trained to collect data using REDCap during the event. Support material was developed and made available to every participant regarding the use of the platform. RESULTS: an instrument for data collection was successfully developed and its use during the task force was described as easy by the volunteers. At the end of the campaign, the application allowed immediate evaluation of the collected data. CONCLUSION: The REDCap platform can be used to collect data during an event such as the Skin Cancer Prevention Task Force, it generates a valid database and quality indicators, enabling the immediate evaluation of the data at the end of the collection. KEYWORDS: Skin Cancer; Data collection; Hospitals, Teaching. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 94 DIGITAL SOLUTIONS APPLIED IN THE MONITORING OF PATIENTS SUSPECTED OF COVID -19 IN REDCAP Margareth Catoia Varela, LIVS/INI/Fiocruz; Ana Carolina da Conceição dos Santos, LIVS/INI/Fiocruz; Bruna Ribeiro Correa da Silva, LIVS/INI/Fiocruz; Juliana Arruda de Matos, LIVS/INI/Fiocruz; Regina Daumas, ENSP/Fiocruz

BACKGROUND: The COVID-19 pandemic has changed health systems operation. The use of telehealth has increased sharply. In this context, a research was designed to evaluate the use of regular video appointments (VA) and home pulse oximetry as a strategy to timely detect clinical deterioration and the need of urgent health care among COVID-19 suspected cases. OBJECTIVES: To describe the use of REDCap to manage data collected through all the research process and the use of reports to help managing data collection. METHODS: Research data is recorded in 32 forms, which include recruitment and eligibility information, clinical data from VA, vital signs recorded at home, attempts to contact participants and pulse oximetry device status on return. The recruitment interview is recorded on tablets using REDCap in online mode. Once recruited, attempts to contact participants are recorded in repeatable forms and a standard form is used to record VA data once contact is established. At the end of each VA, professional and patient evaluate the VA in specific forms, the participant one being a survey sent as an individual link. Reports were designed to identify which participants should be called each day and to signal other pending tasks. Calculated fields and Branching logic were used to further qualify and simplify data collection. RESULTS: The project is in progress and, until January/2021, 242 patients had been enrolled from two primary health care units in Rio de Janeiro/RJ. We noticed the professionals’ satisfaction with the use of REDCap, recognized as a facilitator in the daily tasks of the research. CONCLUSION: The use of REDCap in data management of this project facilitated the process of monitoring patients, by means of electronic forms and customized reports, and will allow a complete analysis, considering that all data are gathered safely in one place. KEYWORDS: Telemedicine; COVID-19; Health Information Systems. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap and COVID-19

40 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

A 95 REDCAP TRAINING: EXPERIENCE REPORT IN A TEACHING HOSPITAL Wagner Ricardo Montor, Santa Casa de São Paulo School of Medical Sciences; Cristiane Camilo Hernandez, Santa Casa de São Paulo School of Medical Sciences; Manoel Carlos Sampaio de Almeida Ribeiro, Santa Casa de São Paulo School of Medical Sciences; Rodrigo Calado Silva, Santa Casa de São Paulo School of Medical Sciences.

BACKGROUND: Advances in technology are changing data management in scientific research. More and more, the use of an adequate computational tool that allows collection, storage, management and sharing of data in a reliable way, has been valued by the institutions that support scientific research. OBJECTIVES: to report the experience in training the teaching staff and students of a teaching hospital in the use of the REDCap platform, so that it becomes part of research projects involving databases in the institution. METHODS: the training is organized by the Research and Publication Support Center (NAPP) and IT leaders responsible for the platform. Registration is carried out by filling out a form. The content is hands on, involving the elaboration of a simple questionnaire and data collection through cell phones and desktop computers and it is offered in a computer lab, lasting 3 hours. After completion, participants are invited to evaluate the session. RESULTS: Approximately one hundred people have already participated in the training in three editions offered throughout one year. The participants rated the training as very good and excellent, pointed out that most expectations were met, and that the example used was relevant. Many of them indicated that they intended to use the REDCap platform for future and ongoing projects after the training, which corroborates the considerable increase in requests to use the tool. CONCLUSION: The training was well received by the academic community. The interest of the academic community in acquiring knowledge for a computational tool such as REDCap is basically due to the new data management policies and guidelines discussed and presented by the funding agencies. It can be said that the participants are now trained with a computational tool of extreme importance for data management. KEYWORDS: Hospitals; Teaching; Data Collection; Data Management. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap end-users support and/ or training strategies

A 96 Use of REDCap in Multicenter Registry of Hypertension in Children and Adolescents (HASCA) Nicole Saldanha de Souza, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA) e Instituto de Cardiologia do RS (IC-FUC); Jacqueline Vaz, Instituto de Cardiologia do RS (IC-FUC); Liliana Fortini Cavalheiro Boll, Instituto de Cardiologia do RS (IC-FUC); Luiza Junqueira Trarbach, University of Technology Sydney (UTS); Renata Povoas, Instituto do Coração da FMUSP (InCor); Maria Cláudia Irigoyen, Instituto de Cardiologia do RS (IC-FUC) e Instituto do Coração da FMUSP (InCor).

BACKGROUND: Hypertension is asymptomatic in childhood and adolescence. Studies indicate the presence of 9% of hypertension in Brazilian’s adolescents. The Diagnosis, treatment and control are essential for the reduction of cardiovascular events. We used REDCap to register the Multicenter Registry of Hypertension in Children and Adolescents (HASCA) survey, where nine Teaching / Health / Research, distributed in different regions of Brazil, participated with data collection at national level, forming a single database. OBJECTIVES: This study analyzes the national data reported from the REDCap platform and optimizes the obtained results. METHODS: Longitudinal observational multicenter study of the registry type using REDCap platform to implement data from 9 national centers, with children and adolescents aged 7 to 18 years, both genders, from public or private schools, with altered blood pressure indicative of hypertension in any level. On the REDCap platform, the input of the data occurred in different stages: Screening: form for collecting identification data, anthropometric data and blood pressure values. Confirmatory: confirmation of blood pressure values. Registry: one year follow-up and periodic data collection. The data collection was electronic, and the data management will be inserted in the REDCap software, which is a safe methodology. The study is being conducted in accordance with ethical principles and guidelines for good clinical practice. RESULTS: The HASCA Registry CRF consists of a total of 180 questions. Screening data were collected from July 2018 to De- cember 2019, with a total of 4398 Brazilian children and adolescents, in which 915 had high BP at least twice. CONCLUSION: It is possible to make a report with HASCA information generated throughout Brazil, by Regions, by Coordinat- ing Centers or by Schools, being able to identify where and which children have high blood pressure levels and need to be monitored. Keywords: Database, Child, Adolescent, Hypertension Presentation: Electronic Poster (e-poster) Section: REDCap in research protocols

A 97 THE USE OF RESEARCH ELECTRONIC DATA CAPTURE (REDCAP) SOFTWARE AS A TOOL TO CONDUCT AN ON-LINE STUDY OF CBT FOR DERMATILLOMANIA. Alice Barbieri Ebert, Universidade Federal de Ciências da Saúde de Porto Alegre; Murilo Gandon Brandão, Universidade Federal do Rio Grande do Sul; Alice Castro Menezes Xavier, Hospital de Clínicas de Porto Alegre; Clarissa Prati, Hospital de Clínicas de Porto Alegre; Carolina Blaya Dreher, Hospital de Clínicas de Porto Alegre; Gisele Gus Manfro, Hospital de Clínicas de Porto Alegre

41 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

Social distancing measures that brought the opportunity to increase the role of online and web-based research methods in the field of psychiatry. This study describes the use of REDCap to conduct a randomized double-arm online clinical study in psychiatry in Brazil. Our aim is to evaluate advantages and limitations of using this electronic data capture environment to collect data and control the steps of a longitudinal clinical research, especially in terms of time savings and data quality. We used REDCap as the main tool to organize the research and to assess participants in a randomized, double-arm clinical trial. By exploiting several REDCap features, we managed to schedule survey invitations, collect data and control the study workflow. Moreover, we used questionnaires in survey mode and also collected researchers’ applied data, using different events and a unique link for each participant. The piping module helped in the identification of study participants that were researchers’ applied and created the final report that was sent to the participants showing their clinical scales. The use of the randomization module was simple, but there is no way to automatically assign a randomized participant to a different arm, so we had to create a new ID in the respective arm for each participant and rename. The automated invitation module has helped to send emails with surveys in specific time periods, facilitating the process of managing a longitudinal study. However, eight participants (7,7%) out of 104 had issues completing an initial survey. These issues were not sorted out by our local technical support and might have something to do with specific answers to the surveys, but we haven’t identified the reason yet. Overall, the use of REDCap has facilitated this study. We believe that an option to translate some fields would improve participants’ experience. KEYWORDS: Psychiatry; “Web-based research”; Randomization. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 98 HYBRID RESEARCH IN PSYCHIATRY: USE OF REDCAP AND SYNCHRONOUS ONLINE INTERVIEWS TO ASSESS ASPECTS OF POSITIVE PSYCHOLOGY IN PATIENTS WITH OBSESSIVE-COMPULSIVE DISORDER Alice Ebert, Universidade Federal de Ciências da Saúde de Porto Alegre; Rodrigo Radins, Universidade Federal de Ciências da Saúde de Porto Alegre; João Paulo Botelho Tomé, Universidade Federal de Ciências da Saúde de Porto Alegre; Lucas Boff, Universidade Federal de Ciências da Saúde de Porto Alegre; Caroline Reppold, Universidade Federal de Ciências da Saúde de Porto Alegre; Ygor Arzeno Ferrão, Universidade Federal de Ciências da Saúde de Porto Alegre.

BACKGROUND: Symptom assessment usually uses self-administered questionnaires, but the diagnosis in Psychiatry needs to be synchronous, even using semi-structured interviews. The instruments are validated, however, to “paper” format. REDCap allowed the validation of these instruments in electronic format. OBJECTIVES: To describe a hybrid research project in psychiatry, using the REDCap platform and synchronous online interviews. METHODOS: with a cross-sectional design, we selected patients with Obsessive Compulsive Disorder (OCD) to assess: severity of obsessions, depressive and anxious symptoms, treatments, suicide risk and positive psychology constructs. In the synchronous interview, we evaluated the severity of OCD symptoms and psychiatric diagnoses. In addition to the data collect platform, REDCap was used as surveys: Beck Anxiety and Depression Inventory, WHOQOL (quality of life), Life Satisfaction, Life Orientation, Hope scales Cognitive, General Self-efficacy, and Compassion of Santa Clara Scale. The link or QR code was sent to the participant’s email. We used multiple choice fields with values established by the instruments, piping and calculated fields to have reports of the scale scores for each patient. RESULTS: The combination of data collection in Survey and online interview enabled the research. The option of automatic redi- rection between different Surveys (different instruments) generated the sending of a single link, but with specific reports. CONCLUSION: Research in psychiatry requires synchronous interviews for the elaboration of diagnoses, the COVID-19 pandemic accelerated the online research process, especially with psychopathological measurement instruments. However, to maintain methodological robustness, these instruments need to be validated electronically so they can be widely used via REDCap. Valida- tions in clinical populations will share databases and instruments via REDCap and will facilitate the exchange between projects and knowledge in psychopathology. KEYWORDS: Research; Psychiatry; Scales; Validation studies; “Obsessive-compulsive disorder”. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 99 EXPERIENCE REPORT USING REDCAP TO DATA RECORD FROM INPATIENTS WITH COVID-19, IN GOIÁS-BRA- ZIL Moara Alves Santa Bárbara Borges, Universidade Federal de Goiás; Adriana Oliveira Guilarde, Universidade Federal de Goiás; Lísia Moura Tomich, Hospital Estadual de Doenças Tropicais Dr. Anuar Auad; Deborah Lopes Mota Carvajal, Hospital Evangélico Goiano e Hospital Estadual de Doenças Tropicais Dr. Anuar Auad; Marília Dalva Turchi, Universidade Federal de Goiás; Ana Laura de Sene Amâncio Zara, Universidade Federal de Goiás.

BACKGROUND: In March 2020, WHO declared COVID-19 as Public Health Emergency of International concern. COVID-19 is an emerging, systemic, multiform, and severe disease that needs to be studied in different epidemiological settings. At the Federal University of Goiás (UFG), we are conducting a study to analyze clinical-epidemiological aspects and outcomes for COVID-19 inpatients. OBJECTIVES: To report our experience using the REDCap to record and manage data from inpatients with COVID-19, in Goias State.

42 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

METHODS: It is a cross-sectional and multi-site study approved by the Institutional Ethical Committee. The protocol was registered on the REDCap (April 2020). We designed a data collection form without repetition, and we defined data access groups. Data form comprised different type of fields. After testing an adjusting, the project was moved to the production mode (July/2020), allowing data collection from inpatients in 11 hospitals (6 public, 3 private and 2 field hospitals). RESULTS: The data collection form contains 922 variables (clinical-epidemiological data, laboratory results, and tomographic reports). Whenever available, variables were coded using previous standardized parameters. We used text, date and numeric fields. Some calculated fields combined data from two or more variables (for ex. body mass index). We also used multiple-choice options, with branching logic and no-identification of “sensible” variables. The user team consisted of 1 coordinator, 2 managers, and 58 data collectors (Data Access Group). By the end of 2020, 593 hospitalized COVID-19 patients were included, being 33% of them at intensive care unit. CONCLUSION: This project was developed during a severe pandemic of a highly transmissible infection. The first REDCap cross-sectional project available within UFG. REDCap has been particularly useful for the registration, management, data security, and minimized the risks of environmental contamination. We expect to contribute to reduce unfavorable outcomes in COVID-19 hospitalized patients. KEYWORDS: COVID-19; Hospitalization; Data Management; Database Management Systems. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap and COVID-19

A 100 COHORT OF PREGNANT WOMEN AND CHILDREN WITH SUSPECTED ZIKA VIRUS INFECTION, FROM 2017-2019 IN GOIÁS: AN EXPERIENCE REPORT ON DATA MANAGEMENT IN REDCAP Ana Laura de Sene Amâncio Zara, Universidade Federal de Goiás; Luiza Emylce Pela Rosado, Hospital Estadual Materno-Infantil Dr. Jurandir do Nascimento e Universidade Federal de Goiás; Maria Bárbara Franco Gomes, Universidade Federal de Goiás; Marília Dalva Turchi, Universidade Federal de Goiás.

BACKGROUND: In 2015-2016 zika virus infection (ZIKV) were reported in many Latin American countries. This pandemic was followed by unexpected outbreak of congenital microcephaly. Robust evidence confirms the role of maternal ZIKV infection and a congenital syndrome. However, it remains uncertain the magnitude of damage to children vertically exposed to ZIKV infection. Since 2017, we are following a cohort of pregnant women with rash (laboratory investigation for ZIKV), and, a cohort of children vertically exposed to ZIKV, in Goias. OBJECTIVES: To report the experience of using REDCap to record and manage data of pregnant women and children potentially exposed to the ZIKV. METHODS: In 2019, a longitudinal project was registered on the REDCap for the purpose of epidemiological research. It was designed to investigate and to follow-up pregnant women with laboratory confirmed ZIKV infection and their exposed children. There were 5 data collection forms for pregnant women and, 11 forms for children follow-ups. Five forms included repeated events for up to 7 clinical evaluations. After all forms were tested and adjusted, the project was moved to production mode and the data registered. RESULTS: The pregnant women’s data forms had 481 variables (epidemiological, clinical, obstetric, ultrasound reports, STORCH results, maternal and fetal outcomes). Children’s data forms had 531 variables (childbirth data, neonatal screening tests, pediatric examination, neurodevelopmental [Bayley-III], audiology [BERA], and ophthalmology assessments). A total of 153 pregnant women and 97 children suspected of being ZIKV infected were included in the project. For data analysis, the datasets were exported and linked using the pregnant and child codes. CONCLUSION: The Zika Project was the first longitudinal project on REDCap through UFG. Although the cohort data was recorded posteriori, REDCap was very useful for data managing and for inconsistencies assessing. Supported by the ZikaPLAN (Grant Agreement no. 734584) and by PRONEM/FAPEG/CNPq-07/2016, no. 201710267000531. KEYWORDS: Zika Virus Infection; Data Management; Database Management Systems; Longitudinal Studies. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 101 PREVALENCE OF SYPHILIS IN THE INDIGENOUS POPULATION FROM DOURADOS-MS Michele Ferreira Marques, Universidade Federal da Grande Dourados; Gerlaine da Silva Damasceno, Universidade Federal da Grande Dourados; Erica Cristina dos Santos Schnaufer, Universidade Federal da Grande Dourados; Tiago da Silva Ferreira, Universidade Federal da Grande Dourados; Anny Danielly da Costa Ribeiro, Universidade Federal da Grande Dourados; Simone Simionatto, Uni- versidade Federal da Grande Dourados.

Dourados Federal Indigenous Reserve, located near to urban area is the second most populous of Brazil, and its villagers have many risk factors that predispose them to the acquisition of sexually transmitted infections (STIs). Syphilis is an STIs caused by the bacteria Treponema pallidum and considered a global public health concern. However, data about this STIs in indigenous population remain scarce. This study aimed to determine the prevalence of Treponema pallidum in the indigenous population from Dourados reserve, in order to promote public health policies. The study population comprised 1,927 indigenous which signed an Informed Consent Form (ICF), residing in the villages of the municipality of Dourados-MS, from January 2017 to January 2020. Blood samples were collected and submitted to screening using Alere TM Rapid test for T. pallidum. Positive positive results

43 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

were confirmed by Venereal Disease Research Laboratory (VDRL) technique. The results were informed to the study participants and positive were reported to Notification Disease Information System for treatment. Of the 1,927 patients, 78 were positive in T. pallidum rapid test and 53 of them were positive in VDRL. The prevalence of T. pallidum infection was 2.75 (53/1,927). These results show a high prevalence of T. pallidum infection in the indigenous population from Dourados/MS. So, public health policies designed to prevent and treat syphilis in this population are necessary to an effective control of these diseases in this vulnerable population. KEYWORDS: STIs; Treponema pallidum; Vulnerable population. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 103 REDCAP USE FOR “PERCEIVED STRESS SCALE” OF STRESS EVALUATION Franciele Rosa da Silva, Institute of Cardiology of Rio Grande do Sul; Karine Elisa Schwarzer Schmidt, Institute of Cardiology of Rio Grande do Sul; Melissa Schiwe, Institute of Cardiology of Rio Grande do Sul; Carlos Filipe Moraes Coimbra, Institute of Cardiology of Rio Grande do Sul; Mosiah Heydrich Machado, Federal University of Health Sciences of Porto Alegre (UFCSPA) Marcia Moura Schmidt, Institute of Cardiology of Rio Grande do Sul

BACKGROUND: The capture of clinical outcome data from patients may contribute to the improvement of medical assistance quality and intervention planning. Nonetheless, it is difficult to establish a routine of data gathering that does not hinder the increasing demands on health services. OBJECTIVES: To evaluate an electronic and systematic method using REDCap to assess stress in patients in outpatient and hospital environments. METHODS: The Perceived Stress Scale (EPS-10) was designed on the REDCap platform to collect data during an interview and automatically calculate the results. The data can be gathered and recorded by mobile or desktop devices, ready for any analysis. RESULTS: The EPS-10 is a general scale that can be used with teenagers and elderly people alike. The components were designed to evaluate the degree of unpredictability, uncontrollability, and overburdened they felt in their life in the last month. The scale is composed of 10 items, six of which are negative and four are positive. Each item is classified by a point in a Likert scale (ranging from 1=never to 5=very frequently). To generate the score the four positive items are reversed, and all items are added. This conver- sion was made on an electronic case report form (CRF). The commands “sum” and “if” were used to add the score and, according to it, determine the presence of stress. Later, all the sums are done automatically when the evaluation is finished. A pilot test of the electronic questionnaire was realized with satisfactory results. At the moment of the publication, 200 patients have been interviewed from February to May 2020. CONCLUSION: A REDCap platform can be used for interviews and data gathering, with automatic and standardized rules for the calculation of scales and classification of patients according to the “Perceived Stress Scale”, allowing the creation of an institutional database for future KEYWORDS: Stress; Psychological; Electronic Health Records; Database. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 105 USE OF REDCAP IN AN INTERDISCIPLINARY AMBULATORY OF BARIATRIC SURGERY Isadora Martins da Silva Stumpf, Institute of Cardiology of Rio Grande do Sul (IC/FUC); Marcia Moura Schmidt, Institute of Car- diology of Rio Grande do Sul (IC/FUC); André Vicente Bigolin, Institute of Cardiology of Rio Grande do Sul (IC/FUC); Luciano Ceolin Rosa, Institute of Cardiology of Rio Grande do Sul (IC/FUC); Bianca Mendes, Institute of Cardiology of Rio Grande do Sul (IC/FUC); Izabele Vian, Institute of Cardiology of Rio Grande do Sul (IC/FUC).

BACKGROUND: The electronic capture of research data (REDCap) is a methodology of workflow and software designed for the development and implementaion of tools to capture electronic data. The meticulous harvest of clinical outcome data in candidates to bariatric surgery is of considerable importance to ensure high-quality assistance and data safety. OBJECTIVES: To evaluate an electronic and systematic patient follow-up method. METHODS: The electronic gathering of data begun in March 2019 and the patient follow-up was perfomed by a team composed of a gastric surgeon, a cardiologist, an endocrinologist, a nutritionist, and a psychologist which feed the database continually. The patients are evaluated on the first, second, and third preoperative appointments and from fifteen days to three months after the surgery, depending on the professional specialty. RESULTS: Through the last year, the data of 20 patients was collected during the pre-surgery and post-surgery periods to create an institutional database. This system allows the tracking of patient outcomes and the use for future research in an easy, safe and flexible manner. CONCLUSION: A REDCap platform can be easily used to mine interdisciplinary and medic clinical data, incurring fewer flaws like double data from the same patient or data transcription errors, being possible to access the outpatient descriptive results in the same moment they are inserted on the platform. KEYWORDS: Patient Care Team; Bariatric Surgery; Electronic Health Records; Database. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

44 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

A 106 USE OF A DASHBOARD CONNECTED TO REDCAP DATABASE TO MANAGE INDICATORS OF A RESEARCH SUP- PORT CENTER. Itiana Cardoso Madalena, Fernando Rovedder Boita, Rafael Santos de Lima, Aline Andrea da Cunha, Natalia Elis Giordani, Cassia Garcia Moraes Pagano (Hospital Moinhos de Vento).

BACKGROUND: Research electronic data capture (REDCap) is a web application for the development and implantation of electronic data capture tools and its connection to dashboards allows to support different forms of information management, helping to monitor and display indicators, metrics and data. OBJECTIVES: Evaluate the management of indicators of a research support center of a hospital, through the creation of a dashboard connected to the REDCap database. METHODS: A survey was built in REDCap for requests from scientific technical consultants from a research support center, available to the institution’s employees. The information is extracted directly from REDCap database, for an interactive dashboard and monitoring takes place in real time, the technologies used were: front-end: HTML5, CSS3 and the ChartJS library and on the back-end: Php. RESULTS: The dashboard was was built and is available in the institution’s internal system, was organized by panels in the form of graphs and tables that present absolute and relative frequencies of the indicators: number of consultancies requested, type of consultancies, type of research and services involved in the development of the survey, as well indicators related to satisfaction survey, answered by the applicant at the end of the consultancy. CONCLUSION: The connection of the dashboard to the REDCap database provided an alternative and agile tool for control and monitoring indicators, optimizing the management of internal processes of the research support center. KEYWORDS: Data Collection; Database Management Systems; Data Management. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap Interoperability and/or IT infrastructure

A 107 USING REDCAP TO IMPLEMENT A TECHNOLOGY INFRASTRUCTURE TO SUPPORT CLINICAL RESEARCH DA- TABASES AND PATIENT REGISTRIES OF CARDIAC IMPLANTABLE ELECTRONIC DEVICES Katia R Silva, University of São Paulo Medical School; Roberto Costa, University of São Paulo Medical School; Marcia Nagumo, University of São Paulo Medical School; Jessica Crivelari, University of São Paulo Medical School; Jacson Barros, DATASUS.

BACKGROUND: In a digital world, keeping data in spreadsheets or paper form is not efficient and safe. Research data needs to be managed, accessible, reproducible, and useful. In this scenario, REDCap software is a secure and robust web-based application for electronic data collection, storage, and management. OBJECTIVES: Describe the steps used in implementing a reproducible and scalable technology infrastructure to support clinical research databases and patient registries in the field of Cardiac Pacing. METHODS: Methodological study involved the following steps: (1) Data management plan; (2) Definition of data element terminologies (metadata); (3) Development of electronic forms; (4) Parameterization of specific REDCap functionalities; (5) Personnel training; (6) Data quality monitoring; (7) Integration of REDCap and the Electronic Medical Record system. RESULTS: The infrastructure was applied to eight different study types: randomized clinical trial, multicenter registry, prospective and retrospective cohort, cross-sectional, cross-cultural validation of questionnaires, systematic review, and animal experimentation. The use of international standards, associated with REDCap functionalities, made the collection and data management feasible, enhancing the data quality of each study. CONCLUSION: REDCap has proved to be a disruptive tool collection, management, and dissemination of research data, ensuring great versatility and flexibility to the databases which are developed for each study. We believe that the framework proposed in this article can easily be transposable to other medical specialties. KEYWORDS: Cardiac pacing; REDCap; Electronic medical records; Data quality; Database. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 108 THE USE OF REDCAP AS A TOOL FOR MANAGING AN ETHICS COMMITTEE - CASE REPORT Ana Maria Magalhães Costa, Instituto Fernandes Figueira – Fiocruz; Saint Clair Gomes Junior, Instituto Fernandes Figueira – Fi- ocruz; Toni Marcos B S Ramos, Instituto Fernandes Figueira – Fiocruz

BACKGROUND: The Ethics Committee in Research with Human Beings of the National Institute of Health of Women of Chil- dren and Adolescents (CEP-IFF), seeking to comply with the deadlines recommended by the rules and resolutions dealing with the processing of clinical research projects, adopted, in 2018, the REDCap software to assist in the management of the analyzed projects. OBJECTIVES: To describe the impact of REDCap on project management by CEP-IFF. METHODS: 31 variables of interest for CEP management were identified, including dates of approval, start and end of the project. The data for each analyzed project is entered into the REDCap entry mask from the project’s entry into the CEP, via Plataforma

45 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

Brasil, until its completion. These data allow the generation of a calendar containing the period for sending partial and final reports for each project, which allows CEP to request researchers to deliver, on time, the research reports. The impact of implementing the tool was assessed by observing the submission of partial reports in the pre (2018) and post (2019) periods to the use of REDCap. RESULTS: CEP-IFF received a total of 42 reports in 2018, before the implementation of REDCap, and in 2019, after implementation, it received 110, an increase of 2.5 times while the total number of projects had an increase of 1.2 times. CONCLUSION: The implementation of REDCap at CEP-IFF to manage the sending of project reports proved to be effective and allowed CEP to comply with the deadlines established with current rules and resolutions KEYWORDS: Ethics Committee Research; Management; Resolutions. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 109 EXPERIENCE REPORT OF THE USE OF REDCAP FOR PROJECTS MONITORING BY THE RESEARCH ETHICS COMMITTEE OF THE NATIONAL SCHOOL OF PUBLIC HEALTH / FIOCRUZ Jennifer Braathen Salgueiro, INI/Fiocruz; Cassius Schnell, ENSP/Fiocruz; Letícia Figueira, ENSP/Fiocruz; Vera Marques, ENSP/ Fiocruz

BACKGROUND: The Research Ethics Committee of the National School of Public Health (CEP / ENSP), founded in 1997, sought an instrument capable of generating accurate data on research protocols. Brazil Platform, the current national database related to the National Research Ethics Commission (CONEP) for processing the projects involving human beings, does not produce individual reports by institutions. Thus, a tool capable of meeting local requirements to quantify local scientific production would be relevant. The National Health Council (CNS) Resolution 466/2012 has as one of the CEP’s competencies “to monitor the development of projects, through semi-annual reports by researchers and other monitoring strategies, according to the risk inherent to research”. OBJECTIVES: Improve the monitoring of research approved by the Research Ethics Committee. METHODS: In 2017, we contact the Clinical Research Platform of the Vice-Presidency for Research and Biological Collections, for customizing the REDCap for use by the CEP, using two blocks of variables: projects and meetings data. Also, we decided to use the calendar available in REDCap to insert a control to request the reports of registered protocols. RESULTS: Since 2018, CEP / ENSP inserts the projects received in REDCap to aid their process management and follow approved projects, generating indicators such as analysis time, time for approval, and pending opinions. Besides, it is possible to extract a monthly list of Projects that should submit partial and final reports and request them to their researchers in charge. This procedure increased the number of Reports delivered to the CEP. CONCLUSION: The use of REDCap proved to be a safe tool for the registration of projects, contributing to the improvement of CEP management and the mission of caring for research participants, through adequate monitoring of the projects appreciated by the collegiate. KEYWORDS: Research ethics; Research ethics committees; Monitoring. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 110 REDCAP AS AN ALL-IN-ONE SOLUTION FOR CROSS-SECTIONAL, ON-SITE DATA COLLECTION: AN EXPERI- ENCE FROM TRANSDISCIPLINARY RESEARCH IN DEPENDENCY AND AGING Ignacio Pérez Romero, Universidad de los Andes; Cristobal Carvajal, Universidad de los Andes; Claudia Rodríguez, Universidad de los Andes; María Teresa Valenzuela, Universidad de los Andes

Aging is a gradual process characterized by damage to the physiological functions that frequently lead to dependence in the older adults of 60 years or older. The decrease in functional capacity in older adults is determined by the loss of intrinsic capacity related to physical and mental capacity. These differences could be associated with quality of life, mobility, and symptoms of depression. We hypothesize significant differences in mental and physical capacity between fully independent older adults and slight to moderate dependent older adults. We performed a cross-sectional analysis of 322 adults of 60 years or more, with a Barthel Index equal or higher than 60 that attended day centers in Santiago, Chile during August 2018. A transdisciplinary approach was followed to assess for various dimensions (including quality of life, nutritional status, fear of falling, symptoms of depression, cognitive functionality and physical functionality) between groups of dependency by Barthel Index, which were followed longitudinally and re-measured at different points in time for a year of follow-up, while also performing focused interventions in subgroups. All data capture and research logic, including inclusion criteria, segmentation and intervention assignment was performed in a single RED- Cap project that consolidated variables required for the calculation of standardized scores, optimizing for the physical distribution of on-site data collection (including physical exercise timing measurements) and for redundant variables across different scores. Embedded-in-form-images provided orientation and were displayed to subjects by research personnel using tablets. We also used REDCap and its dashboard capabilities as a mean to provide real-time monitoring of the research and on-site data capture process, effectively using the project as an all-in-one solution for data capture, research modeling, flow and process control and real-time monitoring tool. KEYWORDS: Data Collection; Geriatric Assessment; Transdisciplinary Research; Research Management. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

46 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

A 112 MONITORING SYSTEM FOR PATIENTS UNDERGOING CORONARY ANGIOPLASTY WITH DRUG-ELUTING STENTS (DES) Flávia Rech Guazzelli, Institute of Cardiology of Rio Grande do Sul (IC/FUC); Egidio Junior Lorenzetti Rugginni, Institute of Car- diology of Rio Grande do Sul (IC/FUC); Carlos Filipe Moraes Coimbra, Institute of Cardiology of Rio Grande do Sul (IC/FUC); Mosiah Heydrich Machado, Federal University of Health Sciences of Porto Alegre; Marcia Moura Schmidt, Institute of Cardiology of Rio Grande do Sul (IC/FUC); Andre Langer Manica Institute of Cardiology of Rio Grande do Sul (IC/FUC).

BACKGROUND: The harvesting of clinical data is extremely important to ensure high-quality assistance and follow-up. OBJECTIVES: To provide a brief description of the electronic case report form (CRF) used to access patient data who have gone through coronary angioplasty with drug-eluting stents. METHODS: A longitudinal database with repeating shapes was used. The database included a total of 11 forms on 312 fields. A test pilot was implemented in 2016 and has been effectively used from 2017 to the present date. The data are collected through an electronic CRF on REDCap platform. The patient inclusion on the database starts on the first hemodynamic procedure that he undergoes, which consists of eight forms that aim to collect data including the past medical history, medications in use, technical aspects of the procedure, and results. The ninth form contains intra-hospital evolution and is evaluated by the medical staff. The tenth form is repeated seven times to evaluate cardiovascular events on the follow-up after 30 days, 6 months and from 1 to 5 years. The eleventh form is a field designed to evaluate events that may have happened during any time in the follow-up. A training manual was developed for the operational team and monthly reports are made to actively search for mistakes in the filling of the forms. RESULTS: Three Years after the system implementation, 6670 patients and 17 users’ data have been collected. CONCLUSION: This system allows a quick tracking of the data and the results of percutaneous interventions, contributing not only to the efficiency of the procedure and the type of stent but also to future research in this area. KEYWORDS: Drug-Eluting Stents; Electronic Health Records; Database. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap for monitoring quality indicators or operational projects

A 113 INTEGRATING REDCAP WITH THE EHR FOR A STANDARDIZED OUTPATIENT FOLLOW-UP OF COVID-19 PA- TIENTS IN A TERTIARY CENTER IN SANTIAGO, CHILE Ignacio Pérez Romero, Universidad de los Andes - Hospital Militar de Santiago; Alvaro Baker, Hospital Militar de Santiago

During the recent pandemic of SARS-CoV-2 infection and associated COVID-19, big efforts have been placed on describing and studying the clinical course, treatment of the acute phase infection and vaccination. However, there’s still paucity of research regarding long-term functional implications and sequelae of COVID-19 pulmonary disease, particularly in patients who had a moderate to severe disease requiring hospitalization, supplemental oxygen-use or invasive mechanical ventilation. We designed and implemented a prospective and standardized follow-up scheme for patients that had been hospitalized with moderate to severe COVID-19 during 2020. This scheme was designed with input from pulmonologists, and consisted of four clinic visits scheduled one, three, six and twelve months after discharge, and included structured data capture for discrete clinical and quality of life endpoints, as well as unstructured sections to allow for documentation of usual clinical care. Included in the follow up were pulmonary function tests and pulmonary imaging to be ordered and registered in concrete points in time in order to assess the natural evolution, resolution or persistence of pulmonary involvement. To allow for different clinicians to perform the same structured evaluation, we implemented the follow-up protocol as a single REDCap project that modeled every possible follow-up situation using conditional fields. In order to maintain clinical workflows and compliance with electronic health record (EHR) data entry, we designed the instruments to output a free text containing a summary of all the structured and unstructured data recorded in RED- Cap, that could be copied and pasted into the EHR. This integration was performed without leaving the EHR native user interface, effectively enforcing the standardized evaluation protocol, allowing for structured data capture for the key research endpoints while allowing for compliance to EHR usage, avoiding redundant work for clinicians and allowing them to integrate their practice with our research, with great acceptance among clinicians. KEYWORDS: Data Collection; COVID-19; Electronic Health Records. PRESENTATION: Best Abstract Session SECTION: REDCap and COVID-19

A 114 USING REDCAP TO IMPLEMENT AN INSTITUTIONAL AND TRANSDISCIPLINARY DATABASE SUPPORTING LONGITUDINAL OBSERVATIONAL RESEARCH PROTOCOLS ON A COHORT OF IN-PATIENTS WITH MODERATE TO SEVERE COVID-19 AT THE LARGEST HOSPITAL COMPLEX IN LATIN AMERICA Katia Regina da Silva, on behalf of the HCFMUSP Covid-19 Study Group

BACKGROUND: COVID-19 is a multisystem clinical syndrome, with multiple possible unknown consequences, requiring transdisciplinary and integrative research programs to accelerate the path to scientific new discoveries. OBJECTIVES: To describe the steps used to implement a reproducible and scalable database infrastructure to support longitudinal and transdisciplinary COVID-19 research protocols.

47 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

METHODS: In this methodological study, we initially designed a large database to characterize all hospital admissions for COV- ID-19 from March to August 2020. During this first study phase, datasets (demographics, comorbidities, clinical conditions, treatment, laboratory tests, outcomes) derived from the electronic health record were directly imported to REDCap. These datasets were submitted to a rigorous process of harmonization and consolidation before being imported to REDCap. After the cohort recon- struction, REDCap functionalities have supported a longitudinal transdisciplinary project that was started to perform follow-up assessments of subset of patients at 6-months after hospital discharge. In this phase, we developed a wide range of electronic data collection forms to cover research questions of a large diversity of medical specialties. Centralized data governance was established since the foundations of the protocol to assure data integrity, protection and security. Personnel training was provided at different levels according to the diversity of the user’s profile. RESULTS: The COVID-19 Institutional Database is a transdisciplinary database with entries from 3,778 in-patients (the majority of which with a confirmed diagnosis of COVID-19) and 27 different forms defined by 20 different medical specialties for both baseline data collection on the entire cohort and follow-up assessments of up to 1,000 individuals. More than 100 simultaneous users can access the database according to their prespecified privileges. Online and offline data collection is performed at the point of care allowing real-time data monitoring. In addition, automated alerts with specific clinical conditions were used to facilitate the decision-making process by giving feedback to both patients and clinical teams. CONCLUSION: The use of international standards, associated with REDCap functionalities, made the implementation of this institutional and transdisciplinary database feasible in a short period of time at low-cost and high efficiency. We believe that this framework can easily be transposable to other medical specialties. KEYWORDS: COVID-19; REDCap; Electronic medical records; Data quality; Health Information Interoperability. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap and COVID-19

A 115 THE IMPACT OF THE NOVEL CORONAVIRUS PANDEMIC ON THE LIVES OF BRAZILIAN PREGNANT WOMEN Victor Hugo Alves Mascarenhas, University of São Paulo; Nayara Girardi Baraldi, University of São Paulo; Adelaide Caroci Durkin, Kettering College; Kelly Cristina Máxima Pereira Venâncio, University of São Paulo; Nádia Zanon Narchi, University of São Paulo; Adriana Caroci-Becker, University of São Paulo.

BACKGROUND: The pandemic caused by COVID-19 has impacted the quality of prenatal care, as well as Brazilian maternal mortality indicators which in turn affect both the lives and the health of pregnant women. OBJECTIVES: To describe the impact of the COVID-19 pandemic on the lives of pregnant women in Brazil. METHODS: Descriptive study with a qualitative approach, carried out with pregnant women from the 27 federative units in Bra- zil, through the Digital Form of Data Collection, self-applicable, available on the Research Electronic Data Capture (REDCap) platform. It included open and closed questions about the socioeconomic and obstetric characteristics and the perceived impact of the Covid-19 pandemic in their lives. Data were collected between July and August 2020, after approval by the Research Ethics Committee of the Nursing School of University of São Paulo. In answer to the question “Do you think the pandemic caused some change in your life?” the data were transcribed, organized, and processed with the support of IRAMUTEQ software. RESULTS: The1,208 participants were predominantly white (72.0%), married or living with a partner (97.5%), college graduates (80.4%), employed (82.6.2%), with a mean age of 32.4 years (SD=4.8), and gestational age of 24.4 weeks (SD = 10.0). Starting from qualitative results, a dendrogram was constructed, and show that the main impact of the pandemic on the lives of Brazilian pregnant women were change in routine and family dynamics; the need to maintain social distance in order to protect oneself during pregnancy, at the same time fear of losing their job; there was also an impact on the routine of prenatal consultations, protocol exams due to social isolation; and, finally, there was a lack of support networks due to the pandemic. CONCLUSION: In this population the pandemic resulted in changes in the women’s routine, in family dynamics, support networks and prenatal care, which remain invisible, but that may have harmful consequences on the lives of these women and their experienc- es during pregnancy. Therefore, there is a need for a careful approach in the implementation of strategies to minimize the impact of the pandemic. KEYWORDS: Covid-19; Prenatal Care; Nurse Midwives; Midwives; Pregnancy; Coronavirus. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap and COVID-19

A 116 ACUTE MYOCARDIAL INFARCTION PATIENTS PROSPECTIVE DATABASE THROUGH REDCAP Eduarda Guazzelli, Institute of Cardiology of Rio Grande do Sul; Carlos Filipe Moraes Coimbra, Institute of Cardiology of Rio Grande do Sul; Luísa Ferri, Institute of Cardiology of Rio Grande do Sul; Mosiah Heydrich Machado, Federal University of Health Sciences of Porto alegre; Marcia Moura Schmidt, Institute of Cardiology of Rio Grande do Sul; Alexandre Schaan de Quadros, Insti- tute of Cardiology of Rio Grande do Sul.

BACKGROUND: The clinical record of patients with acute myocardial infarction (RAMI) is found integrated into REDCap®, contributing to the optimization of unique clinical information obtained through this clinical record. OBJECTIVES: To report the experience of REDCap® use in RAMI in a real-world. METHODS: Patients with acute myocardial infarction older than 18 years who presented at the Institute of Cardiology of Rio Grande do Sul (IC-FUC), with a term not exceeding 12 hours from the first symptom and who signed an informed consent. This

48 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

review contains the data obtained between December/2009 and October/2020, with clinical follow-up by phone contact and/or intra-hospital patient electronic records, in 30 days and one year after the myocardial infarction episode date. All data was inserted on a database created on REDCap®. RESULTS: A total of 4896 patients were added to the record through these 12 years, mainly men (3388, 69,2%), with an average age of 60±13. The most frequent previous comorbidities were hypertension (3089, 63,1%), dyslipidemia (1498, 30,6%) and diabetes (1273, 26,0%). In the follow-up it was observed an success rate of 100% (intra-hospital, IH), 99% (30 days) and 90% (1 year), point- ing to a major adverse clinical event (MACE) incidence of 8,7% (IH), 12,6% (30 days) and 16,6% (1 year). CONCLUSION: The intuitive interface and ease handling of REDCap® were essential to intensify the record’s quality. This tool stimulated the maintenance of high rates of success in patient follow-up and, consequently, to the maintenance of data validity on this important record whose findings, including the MACE, were found to match those described in the literature. KEYWORDS: Myocardial Infarction; Electronic Health Records; Database. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 117 TWO APPROACHES TO TIDY LONGITUDINAL DATA FROM REDCAP USING TWO COMMON STATISTICAL PACKAGES Lucas Bassolli de Oliveira Alves, Hospital das Clinicas, Faculty of Medicine, São Paulo University (FM-USP); Mayara D’Auria Ja- comassi, Hospital das Clinicas, Faculty of Medicine, São Paulo University (FM-USP); Amanda Duran, Hospital das Clinicas, Facul- ty of Medicine, São Paulo University (FM-USP); Bruna Del Guerra de Carvalho Moraes, Hospital das Clinicas, Faculty of Medicine, São Paulo University (FM-USP); Giovanna Melo, Hospital das Clinicas, Hospital das Clinicas, Faculty of Medicine, São Paulo Uni- versity (FM-USP); Livia Caroline Barbosa Mariano, Hospital das Clinicas, Faculty of Medicine, São Paulo University (FM-USP);

BACKGROUND: Repeated measures are common in clinical research designs and it’s a characteristic of longitudinal studies. In the traditional data collection model using REDCap, each project record is stored independently as a separate row of data in a stacked format, which can be verified when exported. This structure of data storage may not be friendly for most clinical researchers and a huge amount of effort is spent to prepare the dataset for analysis. OBJECTIVES: To describe a framework to tidy longitudinal datasets into a specific structure in which each variable is a column and each record is a row, using two classical software for data analysis of clinical studies. METHODS: For this purpose, two different scripts of tidying data were developed using the tidyverse package from R environment and syntax from Statistical Package for Social Sciences (SPSS). The scripts were based on four steps: (1) creating subsets of the general dataset according to time-point measures, (2) adding a suffix for each time-point measure, (3) standardizing the ID variable, and (4) merging the subsets in which each record is stored as a row of data, and the repeated measures are stored as columns. The results of these scripts were demonstrated with a Multiple Myeloma registry as a case study. RESULTS: A reproducible data structure for the case study was created and analyzed. The join function from tidyverse R package and the Match Files function in the SPSS syntax was applied to perform the scripts, which have also been reproduced in other REDCap projects of haematological malignancies. CONCLUSION: The advantages of this framework were demonstrated through a case study. This framework makes it faster to prepare longitudinal datasets from REDCap to data analysis. KEYWORDS: Longitudinal Studies; Data Collection; Data Display; Multiple Myeloma. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap Interoperability and/or IT infrastructure

A 118 DOCUMENTARY RESEARCH WITH MEDICAL RECORDS ABOUT MIDWIVES OBSTETRIC PRACTICES: AN EXPE- RIENCE WITH REDCAP Nayara Girardi Baraldi, University of São Paulo; Victor Hugo Alves Mascarenhas, University of São Paulo; Keylla Regina Maxima Pereira; Madre Vannini Hospital and Maternity; Luisa Mialichi Lima, Madre Vannini Hospital and Maternity; Natália Vukomanovic Molk, Madre Vannini Hospital and Maternity; Rafaela Rufato Gadelha, Madre Vannini Hospital and Maternity.

BACKGROUND: Documentary-type studies especially those carried out with medical records are widely used to identify outcomes health on population. OBJECTIVES: to reflect on the use of the Research Electronic Data Capture (REDCap) Software to obtain clinical data on maternal and fetal outcome from women who were assisted by midwives. METHODS: This is an experience report about quantitative stage of a mixed method study on the maternal and neonatal outcomes of women assisted by midwives in a hospital in the interior of São Paulo. In the original proposal of the study, data would be collected using a printed form containing closed questions about the participants’ characterization, obstetric history, hospitalization, delivery and postpartum data, from women who were assisted by midwives in April 2017 to April 2020. After collection, the data would be entered twice in the database using the EPIINFO software, for further analysis using the STATA software version 14.2. Faced with the covid-19 pandemic, which prioritized reducing people’s mobility, the researcher responsible sought a new form of collection so that the research could be put into practice. RESULTS: The discovery of REDCap Software, and its applicability for obtaining clinical data, made it possible to develop the quantitative stage electronically. In this way, a form composed of 89 questions was constructed, mostly closed, and containing the

49 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

same fields, which were proposed in the inicial printed form. For the stipulated period (2017-2020) 458 medical records were araised, of which, 267 have already been collected the data. A pre-test was performed with 25 medical records, adjustments were made to the form and sent to the data collection stage. CONCLUSION: It is concluded that REDCap optimized the working time of the research team without affecting the results of the research, since the team can work in continuous contact even in remote environments. The fact that there is no need for double typing contributes to a faster and no less effective progress of the project. It is hoped that this Software can continue to be disseminated among researchers, in particular, who depend on clinical data. KEYWORDS: Midwifery; Humanizing Delivery; Maternity; Maternal-Child Nursing; Mixed Methods. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 119 REDCAP AS A TOOL FOR SOLVING DISCREPANCIES BETWEEN RESEARCH AND CLINICAL WORKFLOW FOR TRANSLATIONAL PSYCHIATRIC REGISTRIES Catarina S. Gomes, Institute of Psychiatry - University of São Paulo Medical School (HCFMUSP); Joana Portolese, Institute of Psychiatry - University of São Paulo Medical School (HCFMUSP); Fernando Mitsuo Sumiya, Institute of Psychiatry - University of São Paulo Medical School (HCFMUSP); Luciana Escudero, Institute of Psychiatry - University of São Paulo Medical School (HCFMUSP); Denise Gemmi, Institute of Psychiatry - University of São Paulo Medical School (HCFMUSP); Helena Brentani, Institute of Psychiatry - University of São Paulo Medical School (HCFMUSP).

BACKGROUND: The Autistic Spectrum Disorders Program (PROTEA) is a public outpatient clinic at the Institute of Psychiatry - HCFMUSP. PROTEA relies on the volunteer work of more than 20 healthcare professionals and has a defined clinical workflow for patient diagnosis and research involving patient’s personal data collection, screening, and multi-professional assessment questionnaires implemented so far with the use of paper-based forms to collect data. As pointed by COFIEL, Luciana et al., 2013, the use of paper-based forms leads to rework and data loss since it requires inputting collected data on a spreadsheet after the medical appointment, and each of the volunteers involved in the outpatient clinic has their own pattern to store and analyze the data. OBJECTIVES: To implement a REDCap project as the main clinical workflow to be used while evaluating patients at PROTEA. METHODS: The clinical workflow used at PROTEA was assessed through interviews with the healthcare professionals involved in patient care and data collection. All the assessment instruments were implemented as REDCap data collection instruments and surveys. After the REDCap project implementation, the clinic staff and researchers were trained to use the new tool as the main clinical workflow. RESULTS: The clinical workflow now consists of 37 forms and 10 surveys. The patient’s personal data has been collected using a public survey URL and some multi-professional assessment questionnaires have been sent to patients by automated survey invitations. Now, the patients can respond to some questionnaires before the presential appointment, saving time at the outpatient clinic and increasing the number of attendances each day. REDCap was connected with Tablet computers and the data has been collected and inserted in REDCap during the patient’s evaluation, avoiding rework and data loss. CONCLUSION: The use of REDCap at PROTEA increased the attendance’s efficiency and enabled enrolling large samples of autistic patients for research. KEYWORDS: Clinical workflow; Translational Psychiatric; Clinical data collection. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 120 COMBINED USE OF REDCAP AND POWER BI FOR REAL-TIME MONITORING OF CLINICAL OUTCOMES IN CHILDHOOD CANCER IN COLOMBIA Jose Coral Candelo, Vivian Piedrahita, Mónica Lotero, Luis Eduardo Bravo, Nelson Portilla, Oscar Ramirez, POHEMA Foundation, Colombia

OBJECTIVES: To timely assess the clinical outcomes of childhood cancer and its determinants to help design effective strategies to improve survival in Colombia. METHODS: The VIGICANCER Epidemiological Surveillance System actively collects information on childhood cancer, monitoring patients quarterly in Cali since 2009 and in 9 other Colombian cities since 2013. Since 2019, the information has been collected electronically through a set of 17 forms and 1190 variables implemented through REDCap in a longitudinal design project, with sections for patient identification, cancer classification, and specific neoplasia variables. Data connections have been established between the server that hosts REDCap and the desktop version of a business intelligence software, Power BI, through API queries. Tables suited for analysis have been generated and configured to be processed instantly in order to produce graphs, tables, and flow- charts of shared interest for all stakeholders. RESULTS: During 2013-2018, we expanded VIGICÁNCER to an area covering ≈50% of Colombian children. As of February 2020, 2.530 children were registered and entered the database through REDCap. The connection with Power BI has facilitated the centralized quality control of the collected information, the dialogue with the national scientific community, the generation of bulletins of childhood cancer clinical results with updated information, and the exploration of interesting associations for further observation and analysis, assisted by the interactivity of the charts generated in Power BI. CONCLUSION: Our multistep model was successful in establishing and scaling a clinical outcomes pediatric cancer surveillance

50 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

system in a middle-income country, which will timely inform cancer control efforts. REDCap and Power BI show an interesting synergy in the fast and stable connection of the data, in the possibility of crossing different databases to generate complex clinical classifications, and in the optimization of the data quality verification protocols. KEYWORDS: Cancer; Registries; Electronic Data Processing; REDCap. PRESENTATION: Oral Presentation SECTION: REDCap Interoperability and/or IT infrastructure

A 121 IMPLEMENTATION OF A REAL-WORLD MULTICENTER AND PROSPECTIVE REGISTRY OF PATIENTS WITH CARDIAC IMPLANTABLE ELECTRONIC DEVICES Sarah C. Martins Saucedo, University of São Paulo Medical School; Roberto Costa, University of São Paulo Medical School; Laisa de Arruda Silva, University of São Paulo Medical School; Marcia Mitie Nagumo, Brazilian REDCap-Consortium; Jéssica Moretto Crivelari, University of São Paulo Medical School; Maria Celia Barros da Silva, University of São Paulo Medical School; Katia Re- gina da Silva, University of São Paulo Medical School.

BACKGROUND: Multicenter and prospective registries can provide a real-world view of clinical practice, patient outcomes, safety, and comparative effectiveness. Information describing the practical aspects to implement an adequate database infrastructure is still insufficient. OBJECTIVES: Describe the steps used to implement a multicenter and prospective database of patients with cardiac implantable electronic devices to ensure the quality of data collection and management according to international standards. METHODS: Prospective study with data derived from real clinical practice in six specialized hospitals in Cardiac Pacing from the state of São Paulo. Data is being collected in three different moments: (1) Index hospitalization, which refers to the episode of the surgical procedure (new implantation or reoperation); (2) 30-days after discharge, and (3) six-months after discharge. The database design involved the following steps: (1) Data management plan; (2) Definition of data element terminologies (metadata); (3) De- velopment of electronic forms; (4) Parameterization of specific REDCap functionalities; (5) Personnel training; (6) Data quality monitoring; (7) Integration of REDCap and Business Intelligence tools. RESULTS: From January/2020 to February/2021 we included 1,306 in-patients in the “CIED São Paulo State Registry”. The database consists of 12 different electronic data forms (demographics, clinical conditions, surgical procedure, discharge, e-consent, follow-up visits, quality of life questionnaires and study-closing). More than 32 simultaneous users can access the database according to their prespecified privileges. Online and offline data collection is performed at the point of care allowing real-time data monitoring. More than 86 automated reports and 20 data quality rules were created to allow real-time data monitoring in both the coordinating and co-participant sites. CONCLUSION: This study demonstrates how standard and reproducible solutions can be applied in the implementation of multicenter and prospective registries to constitute a re-usable framework, at low-cost and high efficiency. KEYWORDS: Cardiac pacing; Electronic data capture; REDCap; Electronic medical records; Data quality. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols

A 122 REDCAP ELECTRONIC CONSENT: A USEFUL TOOL TO OBTAIN INFORMED CONSENT IN A PROSPECTIVE REG- ISTRY OF PATIENTS WITH CARDIAC IMPLANTABLE ELECTRONIC DEVICES Laisa de Arruda Silva, University of São Paulo Medical School; Roberto Costa, University of São Paulo Medical School; Sarah C. Martins Saucedo, University of São Paulo Medical School; Marcia Mitie Nagumo, Brazilian REDCap Consortium; Jéssica Moretto Crivelari, University of São Paulo Medical School; Maria Celia Barros da Silva, University of São Paulo Medical School; Katia Re- gina da Silva, University of São Paulo Medical School.

BACKGROUND: Electronic consent (e-Consent) is a platform for consenting research participants using a computer-based consent form rather than traditional paper documentation. One requirement for electronic consent (e-Consent) is a user-friendly and secure interface, preferably web-based, for maximum availability. OBJECTIVES: To describe the use of the REDCap e-Consent Framework in a prospective registry of patients with cardiac implantable electronic devices (CIED). METHODS: Prospective study with data derived from real clinical practice. This registry covers all patients undergoing new device implantation or CIED related reoperation in the largest referral cardiology center in São Paulo. Patient-reported outcomes (PRO) are collected at 30-days and 6-months after hospital discharge through standardized questionnaires. This step is applied only to patients who have expressed an interest in participating and who have given us permission of being contacted after hospital discharge. The e-consent form was developed by using the REDCap e-consent framework which is a specific functionality of surveys. This method provides a link to the e-consent form that can be sent by e-mail, SMS, WhatsApp or, be used in person with tablets or smart- phones. Upon completion of the e-consent, the approved electronic form is stored in the REDCap server for auditing purposes. RESULTS: From January/2020 to February/2021, 1,112 were included in our study, 685 were eligible for participation in the PRO evaluations and 586 consented electronically. In our consented sample there was a balance between female and male, with an average age of 64.7 ± 19.4 years and predominance of the white race (85%). Difficulties with the online system and signature registration were reported by 31 (5,4%) patients. CONCLUSION: Although our sample consists of a majority of elderly patients, the REDCap e-consent was well received by our

51 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

research participants, facilitating the remotely conducted consent process and offering a feasible alternative to face-to-face consenting approaches. KEYWORDS: REDCap; Informed consent; Research ethics; Electronic consent; Cardiac pacing. PRESENTATION: Electronic Poster (e-poster) SECTION: REDCap in research protocols.

52 AUTHOR INDEX

A BIANCA MENDES – A105 BIANCA PEREIRA BENIGNI – A54, A51 ADELAIDE CAROCI DURKIN – A115 BRENO LIMA DE ALMEIDA – A84, A30 ADRIANA CAROCI-BECKER – A115 BRUNA CATIN – A33 ADRIANA OLIVEIRA GUILARDE – A99 BRUNA DEL GUERRA DE CARVALHO MORAES – A117 ADRIANA PESSOA MENDES ERES – A92 BRUNA RIBEIRO CORREA DA SILVA – A94 ADRIANA VIRGÍNIA BARROS FAIÇAL – A30 BRUNNER MAURICIO – A70 AFRÂNIO LINEU KRITSKI – A63 BRUNO PEREIRA NUNES – A79 AGATHA STAHL DE QUEIROZ – A42, A43 ALESSANDRA NARCISO GARCIA – A74 ALEXANDRE SCHAAN DE QUADROS – A116 C ALICE BARBIERI EBERT – A97 CAMILA SANTANA JUSTO CINTRA SAMPAIO – A42, A88 ALICE CASTRO MENEZES XAVIER – A97 CARLA BERNARDES LEDO – A42, A43 ALICE EBERT – A98 CARLA VOTO – A65 ALINE ANDREA DA CUNHA – A106 CARLOS ALBERTO BUCHPIGUEL – A54 ALLAN CHIARATTI DE OLIVEIRA – A23 CARLOS FILIPE MORAES COIMBRA – A116, A112, A103 ALLAN VÁSQUEZ – A14 CAROLINA BLAYA DREHER – A97 ALVARO BAKER – A113 CAROLINE REPPOLD – A98 AMANDA DANIELETTO RUIZ – A43, A42 CASSIA DA SILVA – A33 AMANDA DURAN – A117 CASSIA GARCIA MORAES PAGANO – A106 ANA CAROLINA DA CONCEIÇÃO DOS SANTOS – A94 CASSIO BATTISTI SERAFINI – A81 ANA CAROLINA SCINTINI – A33 CASSIUS SCHNELL – A109 ANA CLAUDIA YOSHIKUMI PRESTES – A23 CATARINA S GOMES – A119 ANA LAURA DE SENE AMÂNCIO ZARA – A99, A100 CESALTINA LORENZONI – A61 ANA LUCIA GOULART – A23 CINDY TABUSE – A53 ANA MARIA MAGALHÃES COSTA – A108 CLARISSA PRATI – A97 ANA PAULA ALENCAR DE LIMA LANGE – A15 CLAUDIA LEITE DE MORAES – A32, A31 ANDERLISE BARD LUZIVETTO – A82 CLAUDIA RODRÍGUEZ – A110 ANDRÉ DONG WON LEE – A76 CLÁUDIO CAZARINI JÚNIOR – A73 ANDRÉ DOS REIS MARTINS DE OLIVEIRA – A54, A51 CRISTIANE CAMILO HERNANDEZ – A95, A73, A5, A74, A91, A92 ANDRÉ JAPIASSU – A86 CRISTINA OLIVEIRA – A61 ANDRE LANGER MANICA – A112 CRISTOBAL CARVAJAL – A110 ANDRÉ LUIZ FERREIRA BEZERRA – A89 CRISTÓBAL CARVAJAL – A71 ANDRÉ VICENTE BIGOLIN – A105 ANE CAROLINE CASAES TEIXEIRA – A84 D ANNA LUIZA PIRES VIEIRA – A23 DANIEL ANTUNES MORENO – A7 ANNY DANIELLY DA COSTA RIBEIRO – A101 DANIEL LUNA – A70 ANTONIO JOSÉ GONÇALVES – A5 DANIEL REIS WAISBERG – A76 ARNALDO PRATA BARBOSA – A31 DANIELA ALVES MELGARECHO – A82 DANIELE ABUD QUAGLIANO – A76 B DANIELE QUAGLIANO – A4, A85 BARBARA BETTIM – A40 DARLAN SEBASTIÃO DA ROSA – A82 BEATRIZ AZEVEDO VERES – A88 DARLENE BALBUENO ESPINOSA – A82 BEATRIZ VILLAR CERQUEIRA – A89 DAYVISON FRANCIS SARAIVA FREITAS – A81 BERNARDO GRATIVAL G COSTA – A84 DEBORAH LOPES MOTA CARVAJAL – A99 BIANCA LOPES NYARI – A88 DENISE GEMMI – A119

53 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

DEYLAINE LOURENÇO PACHECO – A31, A32 HCFMUSP COVID-19 STUDY GROUP – A114 DIEGO BURGARDT – A56 HELENA BRENTANI – A119 DIEGO GALACE DE FREITAS – A74, A73 HELENA CRAMER VEIGA REY – A2 DIEGO LIMA – A15 HENRIQUE P VASCONCELOS – A53 DIOGO DIAS DE ARAÚJO – A15 DOMINGOS ALVES – A63, A13 I DOUGLAS R COSTA – A53 I LOPES-CENDES – A66 DURVAL RENATO WOHNRATH – A55, A56 IARA DEBERT – A53 IDALIA SEPÚLVEDA – A71 E IGNACIO PÉREZ ROMERO – A110, A113 EDUARDA GUAZZELLI – A116 ISABEL CRISTINA DA NÓBREGA – A2 EDUARDO FERNANDES ABRANTES – A88 ISABELA QUEIROS CASTRO – A6 EGIDIO JUNIOR LORENZETTI RUGGINNI – A112 ISADORA CRISTINA DE SIQUEIRA – A30, A84 ENIO DAVID MENTE – A55, A56 ISADORA MARTINS DA SILVA STUMPF – A105 ERIC SLAWKA – A89 ITIANA CARDOSO MADALENA – A106 ERICA CRISTINA DOS SANTOS SCHNAUFER – A101 IVANDRO SANTANA – A78 ERNESTO VEGA – A71 IZABELE VIAN – A105 EVELISE FERREIRA CASTRO – A88

J F JACQUELINE VAZ – A96 FABIANA DE LIMA VAZQUEZ – A48, A37 JACSON BARROS – A107 FABRICIO FERREIRA COELHO – A83 JAIME ARTHUR PIROLA KRUGER – A83 FELIPE MENDES DELPINO – A79 JAIRO MOREIRA – A4, A85 FERNANDA LIMA SETTA – A31, A32 JANAINA GERMANO – A40 FERNANDA LIMA-SETTA – A86 JAQUELINE ALMEIDA DOS SANTOS – A25 FERNANDA N SUSANNA – A53 JEFFERSON GROSS – A33 FERNANDO ERNESTO CRUZ FELIPPE – A55 JENNIFER BRAATHEN SALGUEIRO – A109 FERNANDO MITSUO SUMIYA – A119 JÉSSICA MORETTO CRIVELARI – A121, A122, A107 FERNANDO ROVEDDER BOITA – A106 JÉSSICA PEIXOTO DE ARAÚJO – A68, A69, A48, A49 FILIPE ANDRADE BERNARDI – A63 JOANA PORTOLESE – A119 FILIPE BERNARDI – A13 JOÃO PAULO BOTELHO TOMÉ – A98 FLÁVIA RECH GUAZZELLI – A112 JOÃO VITOR OLIVEIRA – A30 FLÁVIO HENRIQUE FERREIRA GALVÃO – A76 JOILSON RODRIGO THOMAZ – A45 FRANCIELE ROSA DA SILVA – A103 JOSE CORAL CANDELO – A120 FRANCISCO JOSÉ CANDIDO DOS REIS – A87 JOSÉ HUMBERTO TAVARES GUERREIRO FREGNANI – A37 FRANCISCO JÚNIOR – A13 JOSEPH P THOMAS – A61 FRANKLIN FERNANDES PIMENTEL – A87 JUAN CARLOS PUYANA – A14 JULIANA ARRUDA DE MATOS – A94 G JULIANA MARQUEZI – A85, A4 GERLAINE DA SILVA DAMASCENO – A101 JULIANA MARQUEZI PEREIRA – A76 GILTON MARQUES FONSECA – A83 JULIANA MENEZES GOMES CABRAL DE OLIVEIRA – A30 GIOVANNA BALDANZI MORGAN LOUREIRO – A89 JULIANA MIYUKI GARCIA TANJI – A76 GIOVANNA MELO – A117 GISELE GUS MANFRO – A97 K GISLENE GOMES DA SILVA – A73, A74 KARINE ELISA SCHWARZER SCHMIDT – A103 GRAZIELE SCOFANO – A86 KARLYSE CLAUDINO BELLI – A82 KATHLEEN M SCHMELER – A61 H KATIA REGINA DA SILVA – A121, A122, A114, A107

54 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

KELLY CRISTINA MÁXIMA PEREIRA VENÂNCIO – A115 M KEYLLA REGINA MAXIMA PEREIRA – A118 MONICA LOTERO – A120 KHALLIL TAVERNA CHAIM – A21, A22 MACARENA ROEL – A65 MAIRA BRANCO RODRIGUES – A76 L MANOEL CARLOS SAMPAIO DE ALMEIDA RIBEIRO – A95, A91, A92 LAISA DE ARRUDA SILVA – A121, A122 MARCELA MARTINEZ – A70 LARISSA CRISTINA FERREIRA SILVA – A69 MARCELO BENEDITO MENEZES – A5 LAURA LOPES NOGUEIRA PINTO – A43 MARCIA MITIE NAGUMO – A121, A122, A107 LEANDRO MORAES – A88 MARCIA MOURA SCHMIDT – A105, A116, A112, A103 LUIS EDUARDO BRAVO – A120 MÁRCIO FILHO – A13 LEILA POSENATO GARCIA – A79 MARCO ANTONIO DE OLIVEIRA – A6 LEONARDO MULLER – A26 MARCO ANTONIO OLIVEIRA – A26, A68, A75 LETÍCIA FIGUEIRA – A109 MARCO AURELIO DE SANCTIS – A55, A56 LETICIA LEONE LAURICELLA – A77 MARCO CONRADO – A80 LIDIO CARVALHO DA SILVA LIMA – A55, A56 MARCOS ALVES DE LIMA – A48, A29, A7, A49, A26, A75, A55, A56, LILIANA FORTINI CAVALHEIRO BOLL – A96 A68, A69 LILIANA LOPES – A4, A85 MARCOS VINICIUS L DE OLIVEIRA FRANCISCO – A84 LINDSON MÜHLMANN – A87 MARCUS MONTEIRO – A10 LÍSIA MOURA TOMICH – A99 MARGARETH CATOIA VARELA – A81, A94 LIVIA CAROLINE BARBOSA MARIANO – A117 MARIA BÁRBARA FRANCO GOMES – A100 LIVIA DO VALLE COSTA MARIA – A42, A43 MARIA CELIA BARROS DA SILVA – A121, A122 LÍVIA LOAMÍ RUYZ JORGE DE PAULA – A10, A9 MARIA CLARA DE MAGALHÃES BARBOSA – A32 LIVIA MEGA – A40 MARIA CLÁUDIA IRIGOYEN – A96 LUCAS BASSOLLI DE OLIVEIRA ALVES – A117 MARIA CONCEPCION GARCIA OTADUY – A21 LUCAS BOFF – A98 MARIA DE FÁTIMA MOREIRA MARTINS – A35 LUCAS MATOS FERNANDES – A77 MARIA DE FÁTIMA SILVA MIYAMOTO – A76 LUCAS OTAVIO ROSA DE SOUZA – A31 MARIA GABRIELA DOS SANTOS GHILARDI – A51 LUCAS SOUTO – A85, A4, A85 MARÍA ISABEL LUNA – A14 LUCIANA ALVES LOPES – A54, A51 MARIA JOSÉ FERREIRA ALVES – A15 LUCIANA ESCUDERO – A119 MARÍA TERESA VALENZUELA – A110 LUCIANA HADDAD – A4, A85 MARIA VIRGINIA KULIK – A65 LUCIANA RODRIGUES CARVALHO BARROS – A15 MARIANA HOLLANDA MARTINS DA ROCHA – A76 LUCIANE STOCHERO – A31, A32 MARIANA RODRIGUES CREMONESE – A77 LUCIANO CEOLIN ROSA – A105 MARIANNE YUMI NAKAI – A5 LUCILENE BOULLON – A76 MARÍLIA DALVA TURCHI – A99, A100 LUCILENE MARTINS BERLAMINO – A51, A54 MARK F MUNSELL – A61 LUCIO PADRINI-ANDRADE – A23, A34 MARTINS FIDELES DOS SANTOS NETO – A45 LUÍSA FERRI – A116 MATEUS FREDERICO DE PAULA – A9, A25, A10 LUISA MIALICHI LIMA – A118 MAYARA D’AURIA JACOMASSI – A117 LUÍSA VON ZUBEN VEÇOSO – A79 MELISSA SCHIWE – A103 LUIZ AUGUSTO CARNEIRO D’ALBUQUERQUE – A76 MICHAEL EDUARDO REICHENHEIM – A32 LUIZ CARLOS ALCÂNTARA – A30 MICHAEL NASCIMENTO MACEDO – A84 LUIZ CARLOS VALENTE DE ANDRADE – A54 MICHELE FERREIRA MARQUES – A101 LUIZ D´ALBUQUERQUE – A85, A4 MIGUEL ANGEL SIGUANTAY – A14 LUIZA EMYLCE PELA ROSADO – A100 MIGUEL FANTIN – A70 LUIZA JUNQUEIRA TRARBACH – A96 MILENA SILVA VALLI – A82 LY ROMEU – A66 MIYUKI UNO – A15 MOARA ALVES SANTA BÁRBARA BORGES – A99 MONIELE FERREIRA – A75

55 Clinics 2021; 76 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE

MONIQUE GURGEL DE OLIVEIRA – A90 RODRIGO CALADO SILVA – A92, A95, A91 MOSIAH HEYDRICH MACHADO – A116, A112, A103 RODRIGO DE MARTINO – A4, A85 MURILO GANDON BRANDÃO – A97 RODRIGO RADINS – A98 ROGER CHAMMAS – A15 RONALD ALVES DOS SANTOS – A84 N ROSANA APARECIDA DE OLIVEIRA MAURELLI – A21 NÁDIA CANALE CABRAL – A34 ROSE MARY FRAJTAG – A2 NÁDIA ZANON NARCHI – A115 RUBENS MACEDO – A4 NATALIA ELIS GIORDANI – A106 RUBENS MACEDO ARANTES JUNIOR – A76 NATÁLIA VUKOMANOVIC MOLK – A118 RUI MANUEL REIS – A37 NAYARA GIRARDI BARALDI – A115, A118 RUI PEDRO CHARTERS LOPES RIJO – A63 NELSON PORTILLA – A120 RUI RIJO – A13 NICOLE SALDANHA DE SOUZA – A96 RUTH GUINSBURG – A34

O S OSCAR RAMIREZ – A120 SABRINA ASTURIAS – A14 OTÁVIO LUIZ DA FONTOURA CARVALHO – A82 SABRINA BERNARDEZ-PEREIRA – A54, A51 SAINT CLAIR GOMES JUNIOR – A108 P SARAH C MARTINS SAUCEDO – A122, A121 SILVANA SOARES DOS SANTOS – A33 PABLO QUESADO – A86 SILVINA RUVINSKY – A65 PAO RIBEIRO – A66 SIMONE DE ARAÚJO NEGREIROS FIGUEIRA – A34 PAULA FIGUEIREDO DE MARSILLAC – A81 SIMONE SIMIONATTO – A101 PAULO BANDIERA-PAIVA – A34 SONIA BENITEZ – A70 PAULO CARRARA DE CASTRO – A91 SUSANA P RODRÍGUEZ – A65 PAULO HERMAN – A83 PAULO MANUEL PÊGO FERNANDES – A77 PRISCILA BERENICE DA COSTA – A77 T PRISCILA MARQUES DE MACEDO – A81 TAIS FREIRE GALVÃO – A79 TATIANA DA CUNHA RANA – A76 R TERESA CRISTINA DIAS CUNHA DE NASCIMENTO – A43 TERESA CRISTINA DIAS CUNHA NASCIMENTO – A42 RAFAEL GALLIEZ – A13 TEREZA CRISTINA FELIPPE GUIMARÃES – A2 RAFAEL MELLO GALLIEZ – A63 THAINÁ R DE SOUZA FIALHO – A84 RAFAEL NUNES – A4 THAÍS CAROLINA MORAES DE OLIVEIRA – A82 RAFAEL SANTOS DE LIMA – A106 THANYA ALEJANDRA SCAVIA MARTINS – A76 RAFAEL SOARES NUNES PINHEIRO – A76 THAYNÁ STEPHANIE MATTOZINHO PIRES – A89 RAFAEL VANHOZ RIBEIRO – A69, A68, A6, A37, A7 TIAGO DA SILVA FERREIRA – A101 RAFAELA RUFATO GADELHA – A118 TONI MARCOS B S RAMOS – A108 REGINA DAUMAS – A94 REMO SUSANNA JR – A53 RENATA POVOAS – A96 V RICARDO DOS REIS – A6, A29, A45, A49, A26, A48, A68, A69, A75 VIVIAN PIEDRAHITA – A120 RICARDO MINGARINI TERRA – A77 VAGNER BIRK JEISMANN – A83 RICARDO RICCIO OLIVEIRA – A84 VALDECY MIRANDA BARBOSA – A76 ROBERTO COSTA – A121, A122, A107 VANESSA ARRUDA JORGE – A35 ROBERTO FERNANDES FERREIRA – A68, A69, A26 VANESSA DA SILVA ALVES – A33 ROBERTO FERREIRA – A75 VERA LÚCIA DOS SANTOS ALVES – A74 ROBERTO FERREIRA FERNANDES – A6 VERA MARQUES – A109 RODRIGO BASILIO – A80 VICTOR HUGO ALVES MASCARENHAS – A118, A115

56 2nd LATIN AMERICAN & BRAZILIAN REDCap CONFERENCE Clinics 2021; 76

VILCILENE BARBOSA DOS SANTOS – A51, A54 VINICIUS COSTA LIMA – A63 VINÍCIUS DE LIMA VAZQUEZ – A29 VINÍCIUS LIMA – A13 VINICIUS SANTOS – A4 VITÓRIA LAMMOGLIA MILIONI – A74, A73 VIVIAN BERTOLDI XAVIER – A73 VIVIANE ANDRADE – A61, A29

W WAGNER RICARDO MONTOR – A91, A92, A95 WAYNER VIEIRA DE SOUZA – A78 WELLINGTON ANDRAUS – A85, A4

X XIMENA ILLARRAMENDI – A90

Y YGOR ARZENO FERRÃO – A98 YURI TABAJARA P COSTA DOS SANTOS – A84