Dynamic consent, communication and return of results in large-scale health data reuse: Survey of public preferences

Sam H.A. Muller*, Ghislaine J.M.W. van Thiel, Menno Mostert, Johannes J.M. van Delden

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Dynamic consent forms a comprehensive, tailored approach for interacting with research participants. We conducted a survey study to inquire how research participants evaluate the elements of consent, information provision, communication and return of results within dynamic consent in a hypothetical health data reuse scenario. We distributed a digital questionnaire among a purposive sample of patient panel members. Data were analysed using descriptive and nonparametric inferential statistics. Respondents favoured the potential to manage changing consent preferences over time. There was much agreement between people favouring closer and more specific control over data reuse approval and those in favour of broader approval, facilitated by an opt-out system or an independent data reuse committee. People want to receive more information about reuse, outcomes and return of results. Respondents supported an interactive model of research participation, welcoming regular, diverse and interactive forms of communication, like a digital communication platform. Approval for reuse and providing meaningful information, including meaningful return of results, are intricately related to facilitating better communication. Respondents favoured return of actionable research results. These findings emphasize the potential of dynamic consent for enabling participants to maintain control over how their data are being used for which purposes by whom. Allowing different options to shape a dynamic consent interface in health data reuse in a personalized manner is pivotal to accommodate plurality in a flexible though robust manner. Interaction via dynamic consent enables participants to tailor the elements of participation they deem relevant to their own preferences, engaging diverse perspectives, interests and preferences.

Original languageEnglish
Article number20552076231190997
Pages (from-to)1-14
Number of pages14
JournalDIGITAL HEALTH
Volume9
DOIs
Publication statusPublished - 16 Aug 2023

Keywords

  • Data-intensive health research
  • dynamic consent
  • governance
  • health informatics
  • research ethics
  • return of results

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