ArticleNPJ digital medicine2025
Worldwide willingness to share health data high but privacy, consent and transparency paramount, a meta-analysis.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Patient-governed agentic health data exchange.npj health systems · 2026Review
- Consumer Perspectives on Trust in and Benefits of Artificial Intelligence in Health Care.JAMA network open · 2026Article
- Artificial intelligence in healthcare: a qualitative study exploring consumer perspectives.BMC medical ethics · 2026Article
- Wearable Devices and Data Sharing in the US.JAMA network open · 2026Article
- Ethical and Legal Implications of Implementing AI in Gastrointestinal Endoscopy.Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2026Review
- Strengthening public health data governance: A Co-regulatory framework for integrating wearable health data into health systems.Journal of public health research · 2026Article
- What patients value in data reuse for oncology research: a multi-stakeholder qualitative study to inform the European Health Data Space implementation in Belgium and beyond.Archives of public health = Archives belges de sante publique · 2026Article
- Influencing factors of individuals' willingness to share public health data in big data-driven healthcare: an empirical study based on China.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthcare delivery is under strain, and the reusing of routinely collected data promises improved outcomes. Still, concerns remain about the public's willingness to share their health data. This study examines worldwide willingness to share health data for secondary purposes. Five electronic databases were searched for eligible studies published since January 2020. Articles were included if they quantitatively examined the primary outcome; the public's willingness to share health data for secondary use, while secondary outcomes included demographic and perception measures associated with willingness to share. Sixty-five articles reported a wide range (24-100%) of public willingness to share resulting in a pooled estimate of 77% (95% CI: 71-82%) among predominantly high-income countries. Participants remain concerned about privacy, consent, and transparency. Future work should consider public education, assessing diverse populations and developing and deploying a validated tool measuring willingness to share data.
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.