New Horizons for Health Through Mobile Technologies
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Public Health Informatics Profile Toolkit
Public Health Informatics Profile Toolkit Developing a Public Health Informatics Profile: A Toolkit for State and Local Health Departments to Assess their Informatics Capacity Developed By: The Minnesota Department of Health Supported by: The Public Health Informatics Institute & The Robert Wood Johnson Foundation Public Health Informatics Profile Toolkit Acknowledgements Developing a Public Health Informatics Profile: a Toolkit for State and Local Health Departments to Assess their Informatics Capacity The project was supported by the Robert Wood Johnson Foundation through an InformationLinks Grant to the Public Health Informatics Institute. The initial project (the Public Health Informatics Profile Assessment) was also funded by Robert Wood Johnson Foundation through their Common Ground grant program. The authors of the Public Health Informatics Toolkit wish to thank the many members of the Minnesota Department of Health for their time, their expertise, and for their contributions to the original Public Health Informatics Profile Assessment. Jennifer Ellsworth Fritz, Priya Rajamani, Martin LaVenture Minnesota Department of Health Principal Developers Bill Brand, Debra Robic Public Health Informatics Institute Editorial Reviewers For More Information Public Health Informatics Institute Visit www.phii.org Call toll-free (866)815-9704 E-mail [email protected] Minnesota Department of Health Visit www.health.state.mn.us/ehealth Call Priya Rajamani @ 651-201-4119 E-mail [email protected] Call Jennifer Ellsworth Fritz @ 651-201-3662 E-mail -
Benefits and Barriers for Adoption of Personal Health Records Brittany Vance Marshall University, [email protected]
Marshall University Marshall Digital Scholar Management Faculty Research Management, Marketing and MIS Spring 3-2015 Benefits and Barriers for Adoption of Personal Health Records Brittany Vance Marshall University, [email protected] Brent Tomblin Marshall University, [email protected] Jena Studney Marshall University Alberto Coustasse Marshall University, [email protected] Follow this and additional works at: http://mds.marshall.edu/mgmt_faculty Part of the Health and Medical Administration Commons, Health Information Technology Commons, and the Management Information Systems Commons Recommended Citation Vance, B., Tomblin, B., Studeny, J., & Coustasse A., (2015, March). Benefits nda barriers for adoption of personal health records. Paper presented at the 2015 Business and Health Administration Association Annual Conference, at the 51st Annual Midwest Business Administration Association International Conference, Chicago, IL. This Article is brought to you for free and open access by the Management, Marketing and MIS at Marshall Digital Scholar. It has been accepted for inclusion in Management Faculty Research by an authorized administrator of Marshall Digital Scholar. For more information, please contact [email protected]. BENEFITS AND BARRIERS FOR ADOPTION OF PERSONAL HEALTH RECORDS Brittany Vance, MS Alumni College of Business Marshall University Graduate College 100 Angus E. Peyton Drive South Charleston, WV 25303 Brent Tomblin, MS Alumni College of Business Marshall University Graduate College 100 Angus E. Peyton Drive South Charleston, WV 25303 Jana Studeny, RN-BC, MSHI, Alumni Healthcare Informatics Program College of Health Professions Marshall University One John Marshall Drive Huntington, WV 25755 [email protected] Alberto Coustasse, DrPH, MD, MBA, MPH – CONTACT AUTHOR Associate Professor College of Business Marshall University Graduate College 100 Angus E. -
Health Data As a Global Public Good
Health Data Governance Summit Pre-read: Health Data as a Global Public Good 30 June 2021 Global public goods Health Data Governance Summit Pre-read: Health Data as a Global Public Good Health data as a global public good The ODI has been working with WHO for the past month, holding discussions with 23 stakeholders and analysing 56 documents "Starkly and powerfully, the COVID-19 pandemic illustrates how critical "Despite progress in recent years, high-quality data are not routinely data use, with a human face, is to protecting lives & livelihoods. The collected in all settings, major health challenges are not adequately crisis is a wake-up call. We must accelerate a shift in our data and monitored, and effective interventions are not directed to the right analytics abilities: To respond to COVID-19 and build back better, to people, at the right time and at the right place. This impacts policies drive the Decade of Action for the SDGs, to amplify climate action, to and programmes and consequently, the health of entire populations. promote gender equality, to protect human rights, to advance peace Similarly, in order to meet the shared SDG commitment to “leave no-one and security, and to accelerate UN Reform – for greater impact on the behind”, we need disaggregated data to ensure equitable health ground." outcomes. This means we must strengthen comprehensive data systems, UN Secretary-General collaborate with other sectors, and apply innovative digital technologies to collect, analyse and use data to make informed decisions and deliver impact." WHO Director-General 2 Global public goods Health Data Governance Summit Pre-read: Health Data as a Global Public Good What are global public goods? "Global public goods are goods… whose benefits cross borders and are global in scope." - WHO Bulletin 2003 In traditional economic terms, public goods are have two key attributes: "Global public goods (GPGs) provide benefits to people in both rich and ● They are non-exclusionary: No one can be excluded from using poor countries. -
Racial and Ethnic Disparities in Health Care, Updated 2010
RACIAL AND ETHNIC DISPARITIES IN HEALTH CARE, UPDATED 2010 American College of Physicians A Position Paper 2010 Racial and Ethnic Disparities in Health Care A Summary of a Position Paper Approved by the ACP Board of Regents, April 2010 What Are the Sources of Racial and Ethnic Disparities in Health Care? The Institute of Medicine defines disparities as “racial or ethnic differences in the quality of health care that are not due to access-related factors or clinical needs, preferences, and appropriateness of intervention.” Racial and ethnic minorities tend to receive poorer quality care compared with nonminorities, even when access-related factors, such as insurance status and income, are controlled. The sources of racial and ethnic health care disparities include differences in geography, lack of access to adequate health coverage, communication difficulties between patient and provider, cultural barriers, provider stereotyping, and lack of access to providers. In addition, disparities in the health care system contribute to the overall disparities in health status that affect racial and ethnic minorities. Why is it Important to Correct These Disparities? The problem of racial and ethnic health care disparities is highlighted in various statistics: • Minorities have less access to health care than whites. The level of uninsurance for Hispanics is 34% compared with 13% among whites. • Native Americans and Native Alaskans more often lack prenatal care in the first trimester. • Nationally, minority women are more likely to avoid a doctor’s visit due to cost. • Racial and ethnic minority Medicare beneficiaries diagnosed with dementia are 30% less likely than whites to use antidementia medications. -
Big Data in Health Care
A Series by 2016 From predicting disease and identifying targeted therapies and cures, to improving our overall quality of life, big data is transforming the way health care decisions are made and care is delivered. Big Data in Health Care is a recently published series of articles that brings you the stories behind the research and celebrates researchers and organizations for their commitment to improving health care. Please accept this complimentary copy as our way of thanking you for your commitment to advancing medicine and improving patients’ lives. founding sponsor co-sponsor www.RealWorldHealthCare.org CONTENTS Big Data in Health Care Is Big Data Good for our Health? You Bet. Here’s Why. 3 Speaking with Dr. Phillip Bourne, National Institutes of Health. 8 Speaking with Dr. Hallie Prescott . 11 Closing the Healthcare Gap: The Critical Role of Non-Identified Information . 14 Real World Health Care Interview with Dr. Bonnie Westra. 17 Big Data Declares a War on Cancer . 21 Speaking with Dr. Clifford Hudis. 25 Is Big Data Good for our Health? You Bet. Here’s Why. By Cameron Warren and Merav Yuravlivker The term “Big Data” is increasingly used in our everyday lives. But each mention of it means something different, unique to what we use it for and how we interact with it. Big Data is not information. It’s the raw resource that people can use to discover new insights. Just as raw crude needs to be refined to run a car, Big Data needs to be refined to provide useful insights. In 2001, Doug Laney, who currently works for the analyst firm Gartner, defined this raw resource in terms of its three ubiquitous attributes, “the 3 V’s” – Volume, Velocity, and Variety. -
Different Perspectives for Assigning Weights to Determinants of Health
COUNTY HEALTH RANKINGS WORKING PAPER DIFFERENT PERSPECTIVES FOR ASSIGNING WEIGHTS TO DETERMINANTS OF HEALTH Bridget C. Booske Jessica K. Athens David A. Kindig Hyojun Park Patrick L. Remington FEBRUARY 2010 Table of Contents Summary .............................................................................................................................................................. 1 Historical Perspective ........................................................................................................................................ 2 Review of the Literature ................................................................................................................................... 4 Weighting Schemes Used by Other Rankings ............................................................................................... 5 Analytic Approach ............................................................................................................................................. 6 Pragmatic Approach .......................................................................................................................................... 8 References ........................................................................................................................................................... 9 Appendix 1: Weighting in Other Rankings .................................................................................................. 11 Appendix 2: Analysis of 2010 County Health Rankings Dataset ............................................................ -
Health Informatics Principles
Health Informatics Principles Foundational Curriculum: Cluster 4: Informatics Module 7: The Informatics Process and Principles of Health Informatics Unit 2: Health Informatics Principles FC-C4M7U2 Curriculum Developers: Angelique Blake, Rachelle Blake, Pauliina Hulkkonen, Sonja Huotari, Milla Jauhiainen, Johanna Tolonen, and Alpo Vӓrri This work is produced by the EU*US eHealth Work Project. This project has received funding from the European Union’s Horizon 2020 research and 21/60 innovation programme under Grant Agreement No. 727552 1 EUUSEHEALTHWORK Unit Objectives • Describe the evolution of informatics • Explain the benefits and challenges of informatics • Differentiate between information technology and informatics • Identify the three dimensions of health informatics • State the main principles of health informatics in each dimension This work is produced by the EU*US eHealth Work Project. This project has received funding from the European Union’s Horizon 2020 research and FC-C4M7U2 innovation programme under Grant Agreement No. 727552 2 EUUSEHEALTHWORK The Evolution of Health Informatics (1940s-1950s) • In 1940, the first modern computer was built called the ENIAC. It was 24.5 metric tonnes (27 tons) in volume and took up 63 m2 (680 sq. ft.) of space • In 1950 health informatics began to take off with the rise of computers and microchips. The earliest use was in dental projects during late 50s in the US. • Worldwide use of computer technology in healthcare began in the early 1950s with the rise of mainframe computers This work is produced by the EU*US eHealth Work Project. This project has received funding from the European Union’s Horizon 2020 research and FC-C4M7U2 innovation programme under Grant Agreement No. -
What the Public Thinks About Menatl Health and Mental Illness
What the Public Thinks about Mental Health and ~entaleI1lness A paper presented by Shirley A. Star, Senior Study Director National Opinion Research Center, University of Chicago to the Annual Meeting The National Association for Mental Health, Inc. November 19, 1952 For the past two and a half years, the National Opinion Research Center has been engaged upon a pioneering study of the-American public's thinking in the field of mental health, under the joint sponsorship of the National Association for Mental Health and the National Institute of Mental Health, It is a vast and ambitious project, and I'm afraid that the title which has been assigned to my remarks about .the study is going to prove to be misleading in at least two ways. In the first place, and this must be obvious, both the title given me and the scope of the study cover Ear more ground than I could possibly present in the course of one afternoon. About all I can do today is hit a few of the high spots in public thinking and emphasize beforehand that the study aims to be inclusive. You can pretty well assume that it contains some information on just about any question in the area you might raise, even though I don't refer to many of them. So, as they say in the more enterprising shops--"If you don't see what you want, ask for it," In the second place, and this is more serious, I am in the em- barrassing position of having to stand here this afternoon and honestly- -2- admit that I don1t -know what the public thinks as yet. -
Fundamentals of Public Health Nutrition (3 Credit Hours) Fall: 2018 Delivery Format: E-Learning in Canvas
University of Florida College of Public Health & Health Professions Syllabus PHC 6521: Fundamentals of Public Health Nutrition (3 credit hours) Fall: 2018 Delivery Format: E-Learning in Canvas Instructor Name: Dr. von Castel Room Number: FSHN 227 Phone Number: 352 Email Address: [email protected] *****PLEASE USE THIS NOT CANVAS Office Hours: by appointment via phone,conferences (in canvas) or Lync(Microsoft) Preferred Course Communications: email through ufl.edu Prerequisites None PURPOSE AND OUTCOME Public health nutrition involves the promotion of health through nutrition and the prevention of nutrition related disease in a population. It focuses on improving the food choices, dietary intake, and nutritional status at the community, regional, or national level. The public health nutrition professional works to assess nutritional problems and needs by considering environmental causes, identifying intervention points, developing policies and programs to intervene at those points, implementing the policies or programs, and evaluating the effectiveness of the intervention. Course Overview This course will provide an introduction to Public Health Nutrition and the role of the Public Health Nutrition professional. Emphasis will be on definition, identification and prevention of nutrition related disease, as well as improving health of a population by improving nutrition. Malnutrition will be discussed on a societal, economic, and environmental level. It will include the basics of nutritional biochemistry as it relates to malnutrition of a community and targeted intervention. Finally, it will review existing programs and policies, including strengths, weaknesses and areas for modification or new interventions. Relation to Program Outcomes MPH Competencies covered 1. Monitor health status to identify and solve community health problems 2. -
Rapid Review Mental Health Interventions 1 Rapid
Rapid review mental health interventions 1 Rapid review and meta-meta-analysis of self-guided interventions to address anxiety, depression and stress during COVID-19 social distancing Ronald Fischer ¹ ² Tiago Bortolini ² Johannes Alfons Karl ¹ Marcelo Zilberberg 3 Kealagh Robinson ¹ André Rabelo 4 Lucas Gemal ² Daniel Wegerhoff ¹ Nguyễn Thị Bảo Trâm ¹ Briar Irving ¹ Megan Chrystal 1 Paulo Mattos ² ⁵ Affiliations 1 Victoria University of Wellington, Wellington, New Zealand 2 Instituto D’Or de Pesquisa & Ensino, Rio de Janeiro, Brazil 3 TAL Education Group, Beijing, China 4 Universidade de Brasília, Brasília, Brazil 5 Institute of Psychiatry, Federal University of Rio de Janeiro Author contributions RF conceptualized the study; RF, TB, JK, MZ, KR, AR, LG conducted the literature search & data extraction, RF, JK, TB conducted the analyses & created the visualizations, DW coordinated the activity material collation, DW, TN, BI, MC collated & summarized the activity material; PM provided feedback & advice; RF wrote the first draft; all authors approved the final version. Abstract We conducted a rapid review and quantitative summary of meta-analyses that have examined interventions which can be used by individuals during quarantine and social distancing to manage anxiety, depression, stress and subjective well-being. A literature search yielded 34 meta-analyses (total number of studies k = Rapid review mental health interventions 2 1,390, n = 145,744) that were summarized. Overall, self-guided interventions showed small to medium effects in comparison to control groups. In particular, self-guided therapeutic approaches (including cognitive-behavioral, mindfulness, and acceptance-based interventions), selected positive psychology interventions, and multi-component and activity-based interventions (music, physical exercise) showed promising evidence for effectiveness. -
Insights from Patient Care Utilization in Colorado SEPTEMBER 2020
THE VALUE OF TELEMEDICINE DURING THE COVID-19 PANDEMIC RESPONSE Insights From Patient Care Utilization in Colorado SEPTEMBER 2020 Informing Policy. Advancing Health. The Value of Telemedicine During the COVID-19 Pandemic Response Insights From Patient Care Utilization in Colorado 3 Introduction CHI Staffers 4 The Value of Telemedicine During the COVID-19 Pandemic Response Contributing to This Report 5 Telemedicine Adoption and Use in Colorado 6 Methods: What You Need to Know • Kristi Arellano 7 Which Coloradans Are Using Telemedicine? • Jasmine Bains 7 Demographics: Telemedicine Adoption by Age • Nina Bastian 10 Demographics: Telemedicine Adoption by Race, Ethnicity, • Jeff Bontrager and Gender • Ashlie Brown 11 How Has Telemedicine Affected the Volume of Care Delivered • Spencer Budd by Different Providers During the Pandemic? • Brian Clark 12 Federally Qualified Health Centers • Joe Hanel 13 Community Mental Health Centers • Paul Presken 14 Other Provider Types • Sara Schmitt 14 Telemedicine Care Delivery by Health Condition and Procedure • Lindsey Whittington 17 Telemedicine Adoption by Insurance Type • Jackie Zubrzycki 18 Telemedicine Adoption by Modality (Telephone and Video) 21 Opportunities to Increase the Value of Telemedicine 22 What We Don’t Know Yet: Next Steps for Research 22 Conclusion 23 Methods Appendix 23 The Colorado Health Observation Regional Data Service (CHORDS) 23 Analysis Details 24 Baseline and Analysis Periods 25 Endnotes This research was conducted in collaboration with the Colorado Office of eHealth Innovation (OeHI) and the Colorado eHealth Commission, in support of the Colorado Health Information Technology (IT) Roadmap. OeHI is responsible for defining, maintaining, and evolving Colorado’s Health IT strategy concerning care coordination, data access, health care integration, payment reform, and care delivery. -
Identifying Health Consumers' Ehealth Literacy to Decrease Disparities In
CONTINUING EDUCATION ANCC 2.0 CONTACT HOURS Identifying Health Consumers’ eHealth Literacy to Decrease Disparities in Accessing eHealth Information Hyejin Park, PhD, RN, Eileen Cormier, PhD, RN, Glenna Gordon, Jung Hoon Baeg, MS resources. Consumer engagement in health-related decision The increasing amount of health information available on making has also increased in health service delivery.4 Be- the Internet highlights the importance of eHealth literacy ’ skills for health consumers. Low eHealth literacy results in cause online health information can affect health consumers disparities in health consumers’ ability to access and use health decisions and health outcomes, it is important for “ eHealth information. The purpose of this study was to as- them to possess eHealth literacy, defined as the ability to sess the perceived eHealth literacy of a general health con- seek, find, understand, appraise online health information, 5 sumer population so that healthcare professionals can and apply the knowledge to make a health decision.” effectively address skills gaps in health consumers’ ability The Internet provides a portal for everyone to access to access and use high-quality online health informa- available health knowledge, but disparities exist in con- tion. Participants were recruited from three public library sumers’ ability to parse the health information they read. branches in a Northeast Florida community. The eHealth Lit- The low level of eHealth literacy of some consumers makes eracy Scale was used. The majority of participants