How patient-generated health data and patient-reported outcomes affect patient-clinician relationships: A systematic review
- PMID: 32567460
- PMCID: PMC8986320
- DOI: 10.1177/1460458220928184
How patient-generated health data and patient-reported outcomes affect patient-clinician relationships: A systematic review
Abstract
Introduction: Many patients use mobile devices to track health conditions by recording patient-generated health data. However, patients and clinicians may disagree how to use these data.
Objective: To systematically review the literature to identify how patient-generated health data and patient-reported outcomes collected outside of clinical settings can affect patient-clinician relationships within surgery and primary care.
Methods: Six research databases were queried for publications documenting the effect of patient-generated health data or patient-reported outcomes on patient-clinician relationships. We conducted thematic synthesis of the results of the included publications.
Results: Thirteen of the 3204 identified publications were included for synthesis. Three main themes were identified: patient-generated health data supported patient-clinician communication and health awareness, patients desired for their clinicians to be involved with their patient-generated health data, which clinicians had difficulty accommodating, and patient-generated health data platform features may support or hinder patient-clinician collaboration.
Conclusion: Patient-generated health data and patient-reported outcomes may improve patient health awareness and communication with clinicians but may negatively affect patient-clinician relationships.
Keywords: patient reported outcomes; patient-generated health data; primary care; professional-patient relations [Mesh]; surgery.
Conflict of interest statement
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Figures
References
-
- Pew Research Center. Inquiries D—20036 U—419—4300—M—419—4349—F—419—4372—M. Demographics of Mobile Device Ownership and Adoption in the United States, http://www.pewinternet.org/fact-sheet/mobile/, (2018, accessed 20 September 2018).
-
- Research2Guidance. mHealth App Economics 2017/2018 Current Status and Future Trends in Mobile Health. Berlin, 2017. November, https://research2guidance.com/wp-content/uploads/2017/11/R2G-mHealth-Dev...
-
- Rideout V and Fox S. Digital health practices, social media use, and mental well-being among teens and young adults in the U.S. Hopelab and Well Being Trust, 2018. Summer, https://digitalcommons.psjhealth.org/cgi/viewcontent.cgi?article=2092&co...
-
- Shapiro M, Johnston D, Wald J, et al. Patient-generated health data. Research Triangle Park, NC: RTI International, 2012, https://www.rti.org/sites/default/files/resources/patientgeneratedhealth...
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
