Trial reportJAMA network open2022
Consumer Willingness to Share Personal Digital Information for Health-Related Uses.
Trial report in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Measuring the willingness to share personal health information: a systematic review.Frontiers in public health · 2023Pooled it
- Willingness to Share Internet Use Data for Research on Early Disease Detection: Cross-Sectional Survey.Journal of medical Internet research · 2026Article
- Acceptability of Sharing Internet Browsing History for Cancer Research: Think-Aloud and Interview Study.JMIR cancer · 2026Article
- Public Attitudes and Predictors of Public Awareness of Personal Digital Health Data Sharing for Research: Cross-Sectional Study in Japan.JMIR human factors · 2025Article
- American Life in Realtime: Benchmark, publicly available person-generated health data for equity in precision health.PNAS nexus · 2025Article
- Privacy in perspective: research participants' priorities and concerns related to sharing data generated in human neuroscience studies.Neuroethics · 2025Article
- Patterns of willingness to share health data with key stakeholders in US consumers: a latent class analysis.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Privacy Concerns Versus Personalized Health Content-Pregnant Individuals' Willingness to Share Personal Health Information on Social Media: Survey Study.JMIR formative research · 2025Article
- Determinants of Willingness to Share Wearable Health Data with Health Care Providers in Appalachian Populations: an Exploratory Study.Journal of Appalachian health · 2025Article
- A study on user willingness to participate in an adverse drug event information sharing system.BMC public health · 2024Article
- Assessment of ownership of smart devices and the acceptability of digital health data sharing.NPJ digital medicine · 2024Article
- Associations Between Patient-Reported Outcome Measures of Physical and Psychological Functioning and Willingness to Share Social Media Data for Research Among Adolescents With a Chronic Rheumatic Disease: Cross-Sectional Survey.JMIR pediatrics and parenting · 2023Article
- Commitments for Ethically Responsible Sourcing, Use, and Reuse of Patient Data in the Digital Age: Cocreation Process.Journal of medical Internet research · 2023Article
- Aligning Federated Learning with Existing Trust Structures in Health Care Systems.International journal of environmental research and public health · 2023Article
- Consumer Views on Privacy Protections and Sharing of Personal Digital Health Information.JAMA network open · 2023Article
- Patient Perspectives and Preferences for Consent in the Digital Health Context: State-of-the-art Literature Review.Journal of medical Internet research · 2023Review
- Leveraging Digital Health to Improve the Cardiovascular Health of Women.Current cardiovascular risk reports · 2023Review
- Modern views of machine learning for precision psychiatry.Patterns (New York, N.Y.) · 2022Review
- Automated Workflow for Usability Audits in the PHR Realm.International journal of environmental research and public health · 2022Article
- Social Q&A communities: A multi-factor study of the influence of users' knowledge sharing behaviors.Frontiers in psychology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Importance: Consumers routinely generate digital information that reflects on their health. Objective: To evaluate the factors associated with consumers' willingness to share their digital health information for research, health care, and commercial uses. Design, Setting, and Participants: This national survey with an embedded conjoint experiment recruited US adults from a nationally representative sample, with oversampling of Black and Hispanic panel members. Participants were randomized to 15 scenarios reflecting use cases for consumer digital information from a total of 324 scenarios. Attributes of the conjoint analysis included 3 uses, 3 users, 9 sources of digital information, and 4 relevant health conditions. The survey was conducted from July 10 to 31, 2020. Main Outcomes and Measures: Participants rated each conjoint profile on a 5-point Likert scale (1-5) measuring their willingness to share their personal digital information (with 5 indicating the most willingness to share). Results reflect mean differences in this scale from a multivariable regression model. Results: Among 6284 potential participants, 3543 (56%) responded. A total of 1862 participants (53%) were female, 759 (21%) identified as Black, 834 (24%) identified as Hispanic, and 1274 (36%) were 60 years or older. In comparison with information from electronic health care records, participants were less willing to share information about their finances (coefficient, -0.56; 95% CI, -0.62 to -0.50), places they visit from public cameras (coefficient, -0.28; 95% CI, -0.33 to -0.22), communication on social media (coefficient, -0.20; 95% CI -0.26 to -0.15), and their search history from internet search engines (coefficient, -0.11; 95% CI, -0.17 to -0.06). They were more willing to share information about their steps from applications on their phone (coefficient, 0.22; 95% CI, 0.17-0.28). Among the conjoint attributes, the source of information (importance weight: 59.1%) was more important than the user (17.3%), use (12.3%), and health condition (11.3%). Four clusters of consumers emerged from the sample with divergent privacy views. While the context of use was important, these 4 groups expressed differences in their overall willingness to share, with 337 participants classified as never share; 1116 classified as averse to sharing (mean rating, 1.64; 95% CI, 1.62-1.65); 1616 classified as uncertain about sharing (mean rating, 2.84; 95% CI, 2.81-2.86); and 474 classified as agreeable to sharing (mean rating, 4.18; 95% CI, 4.16-4.21). Respondents who identified as White and non-Hispanic, had higher income, and were politically conservative were more likely to be in a cluster that was less willing to share (ie, never or averse clusters). Conclusions and Relevance: These findings suggest that although consumers' willingness to share personal digital information for health purposes is associated with the context of use, many have strong underlying privacy views that affect their willingness to share. New protections may be needed to give consumers confidence to be comfortable sharing their personal information.
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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.