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Preferences of the Public for Sharing Health Data: Discrete Choice Experiment

Authors :
Jennifer Viberg Johansson
Heidi Beate Bentzen
Nisha Shah
Eik Haraldsdóttir
Guðbjörg Andrea Jónsdóttir
Jane Kaye
Deborah Mascalzoni
Jorien Veldwijk
Source :
JMIR Medical Informatics, Vol 9, Iss 7, p e29614 (2021)
Publication Year :
2021
Publisher :
JMIR Publications, 2021.

Abstract

BackgroundDigital technological development in the last 20 years has led to significant growth in digital collection, use, and sharing of health data. To maintain public trust in the digital society and to enable acceptable policy-making in the future, it is important to investigate people’s preferences for sharing digital health data. ObjectiveThe aim of this study is to elicit the preferences of the public in different Northern European countries (the United Kingdom, Norway, Iceland, and Sweden) for sharing health information in different contexts. MethodsRespondents in this discrete choice experiment completed several choice tasks, in which they were asked if data sharing in the described hypothetical situation was acceptable to them. Latent class logistic regression models were used to determine attribute-level estimates and heterogeneity in preferences. We calculated the relative importance of the attributes and the predicted acceptability for different contexts in which the data were shared from the estimates. ResultsIn the final analysis, we used 37.83% (1967/5199) questionnaires. All attributes influenced the respondents’ willingness to share health information (P

Details

Language :
English
ISSN :
22919694
Volume :
9
Issue :
7
Database :
Directory of Open Access Journals
Journal :
JMIR Medical Informatics
Publication Type :
Academic Journal
Accession number :
edsdoj.32b1b992edd43b38ea3b0feb2cedaa2
Document Type :
article
Full Text :
https://doi.org/10.2196/29614