An Exploratory Analysis of Game Telemetry from a Pediatric Mhealth Intervention
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Evaluation of Mobile Apps Targeting Pediatric Overweight and Obesity
EVALUATION OF MOBILE APPS TARGETING PEDIATRIC OVERWEIGHT AND OBESITY by LINDA MUTSCHLER, RD, CD Submitted in partial fulfillment of the requirements for the degree Masters of Science in Dietetics MOUNT MARY UNIVERSITY May 2016 Approved by: Tara L. LaRowe, PhD, RD, CD Director, Graduate Program in Dietetics Approved by: Megan Baumler, PhD, RD, CD Professor, Graduate Program in Dietetics MOBILE APPS TARGETING PEDIATRIC OVERWEIGHT AND OBESITY 2 DEVELOPMENT OF A MOBILE APP TARGETING PEDIATRIC OVERWEIGHT AND OBESITY Linda Mutschler, RD, CD July 15th, 2016 ABSTRACT OF THESIS OBJECTIVE: To evaluate and rank the existing mobile apps for pediatric weight management and, in combination with interviews with pediatricians, Nurse Practitioners (NPs), Registered Nurses (RNs), and Registered Dietitians (RDs), to set out what features would be needed to develop an effective evidence-based mobile app for the treatment of pediatric overweight and obesity. DESIGN: The study design included a review and ranking of existing iPhone mobile apps pertaining to pediatric weight management, physical activity, and healthy eating as well as the collection and analysis of qualitative information from pediatric practitioners, including MDs, NPs, RNs, and RDs. METHODS: The mobile apps evaluated in this study were found through the iTunes App Store. Of the 45 apps selected for evaluation, 10 were unable to be successfully downloaded and launched, yielding an evaluation sample of 35 (n=35). These 35 apps were downloaded, evaluated, and ranked based on targeted behaviors and strategies according to guidelines from the American Academy of Pediatrics (AAP). In addition, 12 structured interviews were performed with practitioners. Interviews were recorded and analyzed using constant comparative analysis in order to gather a number of themes with regard to pediatric overweight and obesity management from their practices. -
CV, Oncotator, DELLY2, LUMPY, Deconstructsigs, WTSI, Mutationalpatterns, Sequenza, Cnvkit, FACETS, GISTIC2, Titancna, STAR, STAR-Fusion, RSEM, Deseq2, Circexplorer2
Andy Jinseok Lee Email: [email protected] Website: https://andyjslee.com ORCID ID: 0000-0003-4120-8708 HIGHLIGHT I am experienced in applying various analytical methods to massive volumes of high-throughput sequencing data of cancer exomes/genomes, epigenomes, and transcriptomes. I have regularly employed the high-performance computing system to run my computational analyses on Next- generation sequencing (NGS) data. I am proficient in python, R, C/C++, and Java programming languages. I have closely collaborated with other labs in a multidisciplinary manner and have co- first authored two publications on novel computational methods in the field of cancer genomics research. My interdisciplinary background with a strong foundation in computer science, graduate education in health informatics, and cancer genomics research experience are a rare mix. I have also significantly contributed to writing research grant proposals and creating presentation materials for my principal investigator. I have lived and studied in South Korea, Indonesia, Singapore, and the United States, and thrive in multicultural settings. I am a bilingual who is fluent in English and Korean. EDUCATION SEP 2015 - University of Michigan, Ann Arbor, MI, United States APR 2017 Master of Health Informatics SEP 2010 - University of Michigan, Ann Arbor, MI, United States DEC 2014 Bachelor of Science in Engineering in Computer Science (minor in Economics) PUBLICATIONS Co-first authored (*) 1. Kim, H.*, Lee, A.J.*, Lee, J., Chun, H., Ju, Y.S., and Hong, D. (2019). FIREVAT: finding reliable variants without artifacts in human cancer samples using etiologically relevant mutational signatures. Genome Med 11, 81. PMID: 31847917. 2. Lee, J.*, Lee, A.J.*, Lee, J.K.*, Park, J., Kwon, Y., Park, S., Chun, H., Ju, Y.S., and Hong, D. -
Impact of Pediatric Mobile Game Play on Healthy Eating Behavior: Randomized Controlled Trial
JMIR MHEALTH AND UHEALTH Kato-Lin et al Original Paper Impact of Pediatric Mobile Game Play on Healthy Eating Behavior: Randomized Controlled Trial Yi-Chin Kato-Lin1, PhD; Uttara Bharath Kumar2, MHS; Bhargav Sri Prakash3, MEng; Bhairavi Prakash4, MSc; Vasini Varadan5, MEcon; Sanjeeta Agnihotri6, MSW; Nrutya Subramanyam7, MBBS, PGDFM, MRCGP(INT); Pradeep Krishnatray6, PhD; Rema Padman8, PhD 1Hofstra University, Hempstead, NY, United States 2Center for Communication Programs, Johns Hopkins University, Baltimore, MD, United States 3FriendsLearn Inc, Palo Alto, CA, United States 4The Mithra Trust, Chennai, India 5Mind in Motion, Chennai, India 6Center for Communication and Change ± India, New Delhi, India 7Seethapathy Clinic & Hospital, Chennai, India 8The Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, PA, United States Corresponding Author: Rema Padman, PhD The Heinz College of Information Systems and Public Policy Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA, United States Phone: 1 412 268 2180 Email: [email protected] Abstract Background: Video and mobile games have been shown to have a positive impact on behavior change in children. However, the potential impact of game play patterns on outcomes of interest are yet to be understood, especially for games with implicit learning components. Objective: This study investigates the immediate impact of fooya!, a pediatric dietary mobile game with implicit learning components, on food choices. It also quantifies children's heterogeneous game play patterns using game telemetry and determines the effects of these patterns on players' food choices. Methods: We analyzed data from a randomized controlled trial (RCT) involving 104 children, aged 10 to 11 years, randomly assigned to the treatment group (played fooya!, a dietary mobile game developed by one of the authors) or the control group (played Uno, a board game without dietary education). -
View (E11866) Jacqueline Sly, Beth Clarke, Andreina Sanabria
Iproceedings Electronic Proceedings, Presentations and Posters of Leading Conferences Volume 4 (2018), Issue 2 ISSN: 2369-6893 Contents Abstracts Telemedicine Tools for Patients and Providers: Systematic Review (e11866) Jacqueline Sly, Beth Clarke, Andreina Sanabria. 5 Measuring Patient Acceptance and Use of a Personal Health Network Application for Chemotherapy Care Coordination (e11396) Katherine Kim, Janice Bell, Jill Joseph, Richard Bold. 7 Patient-Generated Health Data Quality for Clinical Use: Human and Technology Factors (e11703) Robab Abdolkhani, Kathleen Gray, Ann Borda, Ruth De Souza. 9 Digital Solutions for Cancer Survivorship Care (e11717) Ingrid Oakley-Girvan, Sharon Davis, Michelle Longmire. 11 Maximizing Potentially Avoidable Hospitalizations and Cost Savings Beyond Targeting the Most Costly Patients (e11731) Mariana Simons, Sara Golas, Stephen Agboola, Jorn op den Buijs, Jennifer Felsted, Nils Fischer, Allison Orenstein. 13 Zindagi Mehfooz (Safe Life) Digital Immunization Registry: Leveraging Low-Cost Technology to Improve Immunization Coverage and Timeliness in Pakistan (e11770) Subhash Chandir, Danya Siddiqi, Vijay Dharma, Mubarak Shah, Ali Turab, Mohammad Khan, Ali Habib, Aamir Khan. 15 Cloud-Based Implementation of New Frontline Clinical Workflows: Standardizing Practice at Scale to Improve Patient Safety (e11776) Jennie Yoo, Mary Han, Gemma Jamena, Phyllis Pei, Hillary Baldocchi, Emilie Menard, Shelley Diane, Peter Oishi, Tam Nguyen. 17 mHealth App for Patient Self-Management of Chronic Kidney Disease Improves Renal Outcome: Pilot Study (e11777) Xuyong Chen, Shasha Xie, Xiaojuan Yu, Zhibin Chen, Min Zhuo, Jiahua Li. 19 Humanizing the Chart: Becoming More Responsive to Patient Needs Through Implementation of PatientWisdom (e11793) Bradley Crotty, Jeana Holt, Rachel Cusatis, Onur Asan, Joni Williams, Kathryn Flynn, Jennifer Moore, Gregory Makoul.