Person-Generated Health Data in Women's Health: Scoping Review
- PMID: 38754098
- PMCID: PMC11140278
- DOI: 10.2196/53327
Person-Generated Health Data in Women's Health: Scoping Review
Abstract
Background: The increased pervasiveness of digital health technology is producing large amounts of person-generated health data (PGHD). These data can empower people to monitor their health to promote prevention and management of disease. Women make up one of the largest groups of consumers of digital self-tracking technology.
Objective: In this scoping review, we aimed to (1) identify the different areas of women's health monitored using PGHD from connected health devices, (2) explore personal metrics collected through these technologies, and (3) synthesize facilitators of and barriers to women's adoption and use of connected health devices.
Methods: Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for scoping reviews, we searched 5 databases for articles published between January 1, 2015, and February 29, 2020. Papers were included if they targeted women or female individuals and incorporated digital health tools that collected PGHD outside a clinical setting.
Results: We included a total of 406 papers in this review. Articles on the use of PGHD for women steadily increased from 2015 to 2020. The health areas that the articles focused on spanned several topics, with pregnancy and the postpartum period being the most prevalent followed by cancer. Types of digital health used to collect PGHD included mobile apps, wearables, websites, the Internet of Things or smart devices, 2-way messaging, interactive voice response, and implantable devices. A thematic analysis of 41.4% (168/406) of the papers revealed 6 themes regarding facilitators of and barriers to women's use of digital health technology for collecting PGHD: (1) accessibility and connectivity, (2) design and functionality, (3) accuracy and credibility, (4) audience and adoption, (5) impact on community and health service, and (6) impact on health and behavior.
Conclusions: Leading up to the COVID-19 pandemic, the adoption of digital health tools to address women's health concerns was on a steady rise. The prominence of tools related to pregnancy and the postpartum period reflects the strong focus on reproductive health in women's health research and highlights opportunities for digital technology development in other women's health topics. Digital health technology was most acceptable when it was relevant to the target audience, was seen as user-friendly, and considered women's personalization preferences while also ensuring accuracy of measurements and credibility of information. The integration of digital technologies into clinical care will continue to evolve, and factors such as liability and health care provider workload need to be considered. While acknowledging the diversity of individual needs, the use of PGHD can positively impact the self-care management of numerous women's health journeys. The COVID-19 pandemic has ushered in increased adoption and acceptance of digital health technology. This study could serve as a baseline comparison for how this field has evolved as a result.
International registered report identifier (irrid): RR2-10.2196/26110.
Keywords: digital health; femtech; health app; mobile health; mobile phone; patient-generated health data; person-generated health data; personalized health; scoping review; self-tracking; wearables; women’s health.
©Jalisa Lynn Karim, Rachel Wan, Rhea S Tabet, Derek S Chiu, Aline Talhouk. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 16.05.2024.
Conflict of interest statement
Conflicts of Interest: None declared.
Figures
Similar articles
-
Person-Generated Health Data in Women's Health: Protocol for a Scoping Review.JMIR Res Protoc. 2021 May 28;10(5):e26110. doi: 10.2196/26110. JMIR Res Protoc. 2021. PMID: 34047708 Free PMC article.
-
Longitudinal Coadaptation of Older Adults With Wearables and Voice-Activated Virtual Assistants: Scoping Review.J Med Internet Res. 2024 Aug 7;26:e57258. doi: 10.2196/57258. J Med Internet Res. 2024. PMID: 39110963 Free PMC article.
-
Electronic Patient-Generated Health Data to Facilitate Disease Prevention and Health Promotion: Scoping Review.J Med Internet Res. 2019 Oct 14;21(10):e13320. doi: 10.2196/13320. J Med Internet Res. 2019. PMID: 31613225 Free PMC article.
-
The Use of Patient-Generated Health Data From Consumer-Grade Mobile Devices in Clinical Workflows: Protocol for a Systematic Review.JMIR Res Protoc. 2023 Feb 27;12:e39389. doi: 10.2196/39389. JMIR Res Protoc. 2023. PMID: 36848208 Free PMC article.
-
Exploring Stakeholder Perspectives on the Barriers and Facilitators of Implementing Digital Technologies for Heart Disease Diagnosis: Qualitative Study.JMIR Cardio. 2025 Mar 5;9:e66464. doi: 10.2196/66464. JMIR Cardio. 2025. PMID: 40053721 Free PMC article.
Cited by
-
Participant Evaluation of Blockchain-Enhanced Women's Health Research Apps: Mixed Methods Experimental Study.JMIR Mhealth Uhealth. 2025 Mar 25;13:e65747. doi: 10.2196/65747. JMIR Mhealth Uhealth. 2025. PMID: 40131317 Free PMC article.
References
-
- Conceptualizing a data infrastructure for the capture, use, and sharing of patient-generated health data in care delivery and research through 2024. The Office of the National Coordinator for Health Information Technology. 2018. Jan, [2024-05-03]. https://www.healthit.gov/sites/default/files/onc_pghd_final_white_paper.pdf .
-
- DeSilva J, Prensky-Pomeranz R, Zweig M. Digital health consumer adoption report 2020. RockHealth. 2021. Feb 26, [2024-05-03]. https://rockhealth.com/insights/digital-health-consumer-adoption-report-... .
-
- Taylor P. Penetration of mobile devices in Canada as share of the population from 2009 to 2021. Statista. [2024-05-03]. https://www.statista.com/statistics/462386/mobile-device-penetration-canada .
-
- Olsen E. Digital health apps balloon to more than 350,000 available on the market, according to IQVIA report. MobiHealthNews. 2021. Aug 4, [2024-05-03]. https://www.mobihealthnews.com/news/digital-health-apps-balloon-more-350... .
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous