ReviewApplied clinical informatics2015
Legal and regulatory considerations associated with use of patient-generated health data from social media and mobile health (mHealth) devices.
Review in Applied clinical informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluating barriers to adopting telemedicine worldwide: A systematic review.Journal of telemedicine and telecare · 2018Pooled it
- Adoption of Telemedicine in Low-Resource Settings Through the Lens of Frugal Innovation: Protocol for a Systematic Review.JMIR research protocols · 2026Article
- A sociotechnical approach to defining clinical responsibilities for patient-generated health data.NPJ digital medicine · 2025Article
- Article
- Advancing Pediatric Growth Assessment with Machine Learning: Overcoming Challenges in Early Diagnosis and Monitoring.Children (Basel, Switzerland) · 2025Article
- Social Media and the Adolescent Transplant Recipient.Pediatric transplantation · 2025Review
- Telemedicine for Personalized Nutritional Intervention of Rare Diseases: A Narrative Review on Approaches, Impact, and Future Perspectives.Nutrients · 2025Review
- Patient-Generated Health Data (PGHD): Understanding, Requirements, Challenges, and Existing Techniques for Data Security and Privacy.Journal of personalized medicine · 2024Review
- Connecting Health and Technology: A Comprehensive Review of Social Media and Online Communities in Healthcare.Cureus · 2024Review
- Application of telemedicine to improve access, and quality of healthcare services in Somalia: a perspective review and policy recommendations.The Pan African medical journal · 2024Review
- The role of artificial intelligence for the application of integrating electronic health records and patient-generated data in clinical decision support.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- Social support via Internet communication technology for diabetes self-management: a scoping review.mHealth · 2024Article
- Knowledge, Attitudes, and Perceptions of Jordanians Toward Adopting and Using Telemedicine: National Cross-sectional Study.JMIR human factors · 2022Article
- Challenges and opportunities for advancing patient-centered clinical decision support: findings from a horizon scan.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- The technical landscape for patient-centered CDS: progress, gaps, and challenges.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- The Impact of Using mHealth Apps on Improving Public Health Satisfaction during the COVID-19 Pandemic: A Digital Content Value Chain Perspective.Healthcare (Basel, Switzerland) · 2022Article
- "They don't always think about that": Translational Needs in the Design of Personal Health Informatics Applications.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2021Article
- The Use of Remote Programming for Spinal Cord Stimulation for Patients With Chronic Pain During the COVID-19 Outbreak in China.Neuromodulation : journal of the International Neuromodulation Society · 2021Article
- Use of patient-generated health data for shared decision-making in the clinical environment: ready for prime time.mHealth · 2021Article
- Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study.JMIR formative research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Patient-generated health data are coming into broader use across the health care spectrum and hold great promise as a means to improve care and health outcomes. At the same time, rapid evolution in the social media and mobile health (mHealth) market has promoted an environment in which creation and transmission of personal health information is easy, quick, and appealing to patients. However, adoption of social media and mHealth by providers is hampered by legal and regulatory concerns with regard to data ownership and data use. This article defines common forms of patient-generated health data (PGHD) and describes how PGHD is used in clinical settings. It explores issues related to protection of personal health information, including that of children and adolescents, data security, and other potential barriers such as physician licensure. It also discusses regulatory and legal considerations providers and patients should consider before using social media and mobile health apps.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.