ArticleJournal of the American Medical Informatics Association : JAMIA2021
Sharing patient-generated data with healthcare providers: findings from a 2019 national survey.
Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of Patient-Generated Health Data From Consumer-Grade Devices by Health Care Professionals in the Clinic: Systematic Review.Journal of medical Internet research · 2024Pooled it
- A Remote Patient Monitoring System With Feedback Mechanisms Using a Smartwatch: Concept, Implementation, and Evaluation Based on the activeDCM Randomized Controlled Trial.JMIR mHealth and uHealth · 2024Trial
- Integrating Consumer-Grade Wearable Devices and Patient-Generated Health Data into Clinical Care: Perspectives from Healthcare Professionals at a Learning Health System.Journal of general internal medicine · 2026Article
- The Case for the Pediatric Cardiologist-Informaticist.Pediatric cardiology · 2026Review
- Wearable Devices and Data Sharing in the US.JAMA network open · 2026Article
- Wearable Device Adoption, Physical Activity, and Health Data Sharing Among U.S. Cancer Survivors: Evidence from HINTS-7.Journal of clinical medicine · 2026Article
- Sharing Patient-Generated Health Data: The Role of Healthcare Quality, Mistrust, and Discrimination Across Race-Gender Identities.Journal of racial and ethnic health disparities · 2026Article
- A comprehensive review of AI innovations for tackling antimicrobial resistance.Le infezioni in medicina · 2026Review
- Article
- Psychological Aspects of Wearable Health Technologies in Patients with Cardiovascular Disease: A Literature Review and Call to Action.Current cardiology reports · 2025Review
- From Internet to Artificial Intelligence (Al) Bots: Symbiotic Evolutions of Digital Technologies and e-Patients.Journal of participatory medicine · 2025Article
- Public perceptions and engagement in mHealth: a European survey on attitudes toward health apps use and data sharing.European journal of public health · 2025Article
- Veteran Preferences and Willingness to Share Patient-Generated Health Data.Journal of general internal medicine · 2025Article
- Determinants of Willingness to Share Wearable Health Data with Health Care Providers in Appalachian Populations: an Exploratory Study.Journal of Appalachian health · 2025Article
- Performance of a commercial smart watch compared to polysomnography reference for overnight continuous oximetry measurement and sleep apnea evaluation.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Wearable Devices, Health Care Use, and Psychological Well-Being in Patients With Atrial Fibrillation.Journal of the American Heart Association · 2024Article
- Patient and Provider Perspectives About the Use of Patient-Generated Health Data During Pregnancy: Qualitative Exploratory Study.JMIR formative research · 2024Article
- Exploring Disparities in Healthcare Wearable Use among Cardiovascular Patients: Findings from a National Survey.Reviews in cardiovascular medicine · 2023Article
- Wearables for personalized monitoring of masticatory muscle activity - opportunities, challenges, and the future.Clinical oral investigations · 2023Article
- Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study.JMIR mHealth and uHealth · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveOur study estimates the prevalence and predictors of wearable device adoption and data sharing with healthcare providers in a nationally representative sample. MATERIALS AND
methodsData were obtained from the 2019 Health Information National Trend Survey. We conducted multivariable logistic regression to examine predictors of device adoption and data sharing.
resultsThe sample contained 4159 individuals, 29.9% of whom had adopted a wearable device in 2019. Among adopters, 46.3% had shared data with their provider. Individuals with diabetes (odds ratio [OR], 2.39; 95% CI, 1.66-3.45; P < .0001), hypertension (OR, 2.80; 95% CI, 2.12-3.70; P < .0001), and multiple chronic conditions (OR, 1.55; 95% CI, 1.03-2.32; P < .0001) had significantly higher odds of wearable device adoption. Individuals with a usual source of care (OR, 2.44; 95% CI, 1.95-3.04; P < .0001), diabetes (OR, 1.66; 95% CI, 1.32-2.08; P < .0001), and hypertension (OR, 1.78; 95% CI, 1.44-2.20; P < .0001) had significantly higher odds of sharing data with providers. DISCUSSION: A third of individuals adopted a wearable medical device and nearly 50% of individuals who owned a device shared data with a provider in 2019. Patients with certain conditions, such as diabetes and hypertension, were more likely to adopt devices and share data with providers. Social determinants of health, such as income and usual source of care, negatively affected wearable device adoption and data sharing, similarly to other consumer health technologies.
conclusionsWearable device adoption and data sharing with providers may be more common than prior studies have reported; however, digital disparities were noted. Studies are needed that test implementation strategies to expand wearable device use and data sharing into care delivery.
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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.