Electronic patient-generated health data to facilitate prevention and health promotion: a scoping review protocol

Introduction Rapidly expanding digital innovations transform the perception, reception and provision of health services. Simultaneously, health system challenges underline the need for patient-centred, empowering and citizen-engaging care, which facilitates a focus on prevention and health promotion. Through enhanced patient-engagement, patient-provider interactions and reduced information gaps, electronic patient-generated health data (PGHD) may facilitate both patient-centeredness and preventive scare. Despite that, comprehensive knowledge syntheses on their utilisation for prevention and health promotion purposes are lacking. The review described in this protocol aims to fill that gap. Methods and analysis Our methodology is guided by Arksey and O’ Malley’s methodological framework for scoping reviews, as well as its advanced version by Levac, Colquhoun and O’Brien. Seven electronic databases will be systematically searched using predefined keywords. Key electronic journals will be hand searched, while reference lists of included documents and grey literature sources will be screened thoroughly. Two independent reviewers will complete study selection and data extraction. One of the team’s senior research members will act as a third reviewer and make the final decision on disputed documents. We will include literature with a focus on electronic PGHD and linked to prevention and health promotion. Literature on prevention that is driven by existing discomfort or disability goes beyond the review’s scope and will be excluded. Analysis will be narrative and guided by Shapiro et al’s adapted framework on PGHD flow. Ethics and dissemination The scoping review described in this protocol aims to establish a baseline understanding of electronic PGHD generation, collection, communication, sharing, interpretation, utilisation, context and impact for preventive purposes. The chosen methodology is based on the use of publicly available information and does not require ethical approval. Review findings will be disseminated in digital health conferences and symposia. Results will be published and additionally shared with relevant local and national authorities.

[1]  Frédéric Ehrler,et al.  Electronic Patient-Generated Health Data to Facilitate Disease Prevention and Health Promotion: Scoping Review , 2019, Journal of medical Internet research.

[2]  Hyeyoung Hah,et al.  The Association Between Willingness of Frontline Care Providers’ to Adaptively Use Telehealth Technology and Virtual Service Performance in Provider-to-Provider Communication: Quantitative Study , 2019, Journal of medical Internet research.

[3]  M. Butler,et al.  Exploring the potential benefits of digital health technology for the management of COPD: a qualitative study of patient perceptions , 2019, ERJ Open Research.

[4]  Jean F Wyman,et al.  Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review. , 2017, Diabetes research and clinical practice.

[5]  N. Lv,et al.  Personalized Hypertension Management Using Patient-Generated Health Data Integrated With Electronic Health Records (EMPOWER-H): Six-Month Pre-Post Study , 2017, Journal of medical Internet research.

[6]  Abdul V. Roudsari,et al.  Shared decision-making using personal health record technology: a scoping review at the crossroads , 2017, J. Am. Medical Informatics Assoc..

[7]  Alexander Hörbst,et al.  Adult patient access to electronic health records , 2017 .

[8]  H. Quan,et al.  Protocol for a scoping review study to identify and classify patient-centred quality indicators , 2017, BMJ Open.

[9]  M. Were,et al.  Leveraging Digital Health for Global Chronic Diseases. , 2016, Global heart.

[10]  L. Beech The digital patient: transforming primary care? , 2016 .

[11]  Gillian R. Hayes,et al.  Integrating Patient-Generated Health Data Into Clinical Care Settings or Clinical Decision-Making: Lessons Learned From Project HealthDesign , 2016, JMIR human factors.

[12]  P. Shekelle,et al.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation , 2016, British Medical Journal.

[13]  Dennis P. Wall,et al.  Automated integration of continuous glucose monitor data in the electronic health record using consumer technology , 2016, J. Am. Medical Informatics Assoc..

[14]  Sekyoung Youm,et al.  Development healthcare PC and multimedia software for improvement of health status and exercise habits , 2017, Multimedia Tools and Applications.

[15]  L. Hinton,et al.  The Effect of Self-Monitoring of Blood Pressure on Medication Adherence and Lifestyle Factors: A Systematic Review and Meta-Analysis. , 2015, American journal of hypertension.

[16]  John W. Williams,et al.  The Impact of Wearable Motion Sensing Technologies on Physical Activity: A Systematic Review , 2015 .

[17]  P. Shekelle,et al.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation , 2015, BMJ : British Medical Journal.

[18]  A. McAuley,et al.  Digital health interventions: widening access or widening inequalities? , 2014, Public health.

[19]  Deborah Lupton,et al.  Critical perspectives on digital health technologies , 2014 .

[20]  Jörg Dirmaier,et al.  An Integrative Model of Patient-Centeredness – A Systematic Review and Concept Analysis , 2014, PloS one.

[21]  D. Z. Sandsa,et al.  Transforming Health Care Delivery Through Consumer Engagement, Health Data Transparency, and Patient-Generated Health Information , 2014, Yearbook of Medical Informatics.

[22]  Michael Catt,et al.  Effects of a Web-Based Intervention on Physical Activity and Metabolism in Older Adults: Randomized Controlled Trial , 2013, Journal of medical Internet research.

[23]  Suzanne Austin Boren,et al.  Patient-Centered Care and Outcomes , 2013, Medical care research and review : MCRR.

[24]  H. Daudt,et al.  Enhancing the scoping study methodology: a large, inter-professional team’s experience with Arksey and O’Malley’s framework , 2013, BMC Medical Research Methodology.

[25]  Melanie Swan,et al.  Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0 , 2012, J. Sens. Actuator Networks.

[26]  M. Swan Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen , 2012, Journal of personalized medicine.

[27]  Jonathan S. Wald,et al.  Patient-generated health data. White paper , 2012 .

[28]  D. Blumenthal Wiring the health system--origins and provisions of a new federal program. , 2011, The New England journal of medicine.

[29]  J. Nussbaum,et al.  The Routledge Handbook of Health Communication , 2011 .

[30]  Sharon E. Straus,et al.  Personal health records: a scoping review , 2011, J. Am. Medical Informatics Assoc..

[31]  J. Volkman,et al.  The Routledge handbook of health communication , 2011 .

[32]  D. Levac,et al.  Scoping studies: advancing the methodology , 2010, Implementation science : IS.

[33]  P. Tengland Health Promotion or Disease Prevention: A Real Difference for Public Health Practice? , 2010, Health Care Analysis.

[34]  J. Ioannidis,et al.  The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration , 2009, Annals of Internal Medicine [serial online].

[35]  D. Moher,et al.  Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement , 2009, BMJ : British Medical Journal.

[36]  D. Shaller,et al.  Patient-Centered Care: What Does It Take? , 2007 .

[37]  Maged N Kamel Boulos,et al.  The emerging Web 2.0 social software: an enabling suite of sociable technologies in health and health care education. , 2007, Health information and libraries journal.

[38]  H. Arksey,et al.  Scoping studies: towards a methodological framework , 2005 .

[39]  F. Mostashari Office of the National Coordinator for Health Information Technology Attention: Governance RFI , 2005 .

[40]  Alastair Baker,et al.  Crossing the Quality Chasm: A New Health System for the 21st Century , 2001, BMJ : British Medical Journal.

[41]  Gordon Rs,et al.  An operational classification of disease prevention. , 1983 .

[42]  R. Gordon An operational classification of disease prevention. , 1983, Public health reports.

[43]  Jacob Cohen A Coefficient of Agreement for Nominal Scales , 1960 .