ArticleJournal of medical Internet research2021
Opening a "Can of Worms" to Explore the Public's Hopes and Fears About Health Care Data Sharing: Qualitative Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient and Public Willingness to Share Personal Health Data for Third-Party or Secondary Uses: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Perspectives on Health Data Sharing Among Patients With Somatic and Mental Health Diseases: Focus Group Study.Journal of medical Internet research · 2026Article
- Trust and Perceived Trustworthiness in Health-Related Data Sharing Among UK Adults: Cross-Sectional Survey.Journal of medical Internet research · 2025Article
- Worldwide willingness to share health data high but privacy, consent and transparency paramount, a meta-analysis.NPJ digital medicine · 2025Article
- Article
- Determining implementation issues of open notes in primary care: a focus group study.BMC primary care · 2025Article
- Exploring the usability of the virtual reality module LEAF CAFÉ: a qualitative think-aloud study.BMC geriatrics · 2024Article
- Feeling safe in the context of digitalization in healthcare: a scoping review.Systematic reviews · 2024Article
- Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study.BMC medical informatics and decision making · 2024Article
- Centering Public Perceptions on Translating AI Into Clinical Practice: Patient and Public Involvement and Engagement Consultation Focus Group Study.Journal of medical Internet research · 2023Article
- Patient perspectives on data sharing regarding implementing and using artificial intelligence in general practice - a qualitative study.BMC health services research · 2023Article
- Qualitative data sharing practices in clinical trials in the UK and Ireland: towards the production of good practice guidance.HRB open research · 2023Article
- Digital technologies in primary care: Implications for patient care and future research.The European journal of general practice · 2022Article
- Empowering Patients Through Virtual Care Delivery: Qualitative Study With Micropractice Clinic Patients and Health Care Providers.JMIR formative research · 2022Article
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundEvidence suggests that health care data sharing may strengthen care coordination, improve quality and safety, and reduce costs. However, to achieve efficient and meaningful adoption of health care data-sharing initiatives, it is necessary to engage all stakeholders, from health care professionals to patients. Although previous work has assessed health care professionals' perceptions of data sharing, perspectives of the general public and particularly of seldom heard groups have yet to be fully assessed.
objectiveThis study aims to explore the views of the public, particularly their hopes and concerns, around health care data sharing.
methodsAn original, immersive public engagement interactive experience was developed-The Can of Worms installation-in which participants were prompted to reflect about data sharing through listening to individual stories around health care data sharing. A multidisciplinary team with expertise in research, public involvement, and human-centered design developed this concept. The installation took place in three separate events between November 2018 and November 2019. A combination of convenience and snowball sampling was used in this study. Participants were asked to fill self-administered feedback cards and to describe their hopes and fears about the meaningful use of data in health care. The transcripts were compiled verbatim and systematically reviewed by four independent reviewers using the thematic analysis method to identify emerging themes.
resultsOur approach exemplifies the potential of using interdisciplinary expertise in research, public involvement, and human-centered design to tell stories, collect perspectives, and spark conversations around complex topics in participatory digital medicine. A total of 352 qualitative feedback cards were collected, each reflecting participants' hopes and fears for health care data sharing. Thematic analyses identified six themes under hopes: enablement of personal access and ownership, increased interoperability and collaboration, generation of evidence for better and safer care, improved timeliness and efficiency, delivery of more personalized care, and equality. The five main fears identified included inadequate security and exploitation, data inaccuracy, distrust, discrimination and inequality, and less patient-centered care.
conclusionsThis study sheds new light on the main hopes and fears of the public regarding health care data sharing. Importantly, our results highlight novel concerns from the public, particularly in terms of the impact on health disparities, both at international and local levels, and on delivering patient-centered care. Incorporating the knowledge generated and focusing on co-designing solutions to tackle these concerns is critical to engage the public as active contributors and to fully leverage the potential of health care data use.
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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.