ArticlePloS one2023
Young people's data governance preferences for their mental health data: MindKind Study findings from India, South Africa, and the United Kingdom.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 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
12 citing papers in PubMed, 17 citations in OpenAlex.
- Building the foundations for global data banking in digital phenotyping for mental health.NPP - digital psychiatry and neuroscience · 2026Review
- Perceived Sensitivity of Sensor-Based Digital Health Data: Qualitative Interview Study.JMIR mHealth and uHealth · 2026Article
- Commercial or industrial use of mental health data for research: primer and best-practice guidelines from the DATAMIND patient/public Lived Experience Advisory Group.Frontiers in psychiatry · 2026Article
- The Effectiveness of Adaptations for Online Remote Public Deliberation Across Three Continents: Mixed Methods Study.Journal of participatory medicine · 2025Article
- Bridging community-engaged research and implementation science methods to advance public health practice.Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025Review
- Incentivising participation in mental health app research: lessons learned from a mixed methods randomised controlled trial.BJPsych open · 2025Article
- Article
- An Application of Evidence-Based Approaches to Engage Young People in the Design of a Global Mental Health Databank.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- Synthetic Health Data: Real Ethical Promise and Peril.The Hastings Center report · 2024Article
- Preferences on Governance Models for Mental Health Data: Qualitative Study With Young People.JMIR formative research · 2024Article
- Evidencing the Impact of Web-Based Coproduction With Youth on Mental Health Research: Qualitative Findings From the MindKind Study.JMIR public health and surveillance · 2023Article
- Co-created data governance frameworks for youth mental healthcare: Values, principles, and implementation-A scoping review.Digital healthReview
Corrections and comments
- Erratum issued
Authors and funding
30 authors at 10 institutions in 4 countries.
Funding
Abstract
Mobile devices offer a scalable opportunity to collect longitudinal data that facilitate advances in mental health treatment to address the burden of mental health conditions in young people. Sharing these data with the research community is critical to gaining maximal value from rich data of this nature. However, the highly personal nature of the data necessitates understanding the conditions under which young people are willing to share them. To answer this question, we developed the MindKind Study, a multinational, mixed methods study that solicits young people's preferences for how their data are governed and quantifies potential participants' willingness to join under different conditions. We employed a community-based participatory approach, involving young people as stakeholders and co-researchers. At sites in India, South Africa, and the UK, we enrolled 3575 participants ages 16-24 in the mobile app-mediated quantitative study and 143 participants in the public deliberation-based qualitative study. We found that while youth participants have strong preferences for data governance, these preferences did not translate into (un)willingness to join the smartphone-based study. Participants grappled with the risks and benefits of participation as well as their desire that the "right people" access their data. Throughout the study, we recognized young people's commitment to finding solutions and co-producing research architectures to allow for more open sharing of mental health data to accelerate and derive maximal benefit from research.
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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.