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dc.date.accessioned2022-02-19T19:41:28Z
dc.date.available2022-02-19T19:41:28Z
dc.date.created2021-07-14T00:43:29Z
dc.date.issued2021
dc.identifier.citationViberg Johansson, Jennifer Bentzen, Heidi Beate Shah, Nisha Haraldsdóttir, Eik Jonsdottir, Gudbjörg Andrea Kaye, Jane Mascalzoni, Deborah Veldwijk, Jorien . Preferences of the Public for Sharing Health Data: Discrete Choice Experiment. JMIR Medical Informatics. 2021, 9(7)
dc.identifier.urihttp://hdl.handle.net/10852/91171
dc.description.abstractBackground: Digital 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. Objective: The 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. Methods: Respondents 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. Results: In the final analysis, we used 37.83% (1967/5199) questionnaires. All attributes influenced the respondents’ willingness to share health information (P<.001). The most important attribute was whether the respondents were informed about their data being shared. The possibility of opting out from sharing data was preferred over the opportunity to consent (opt-in). Four classes were identified in the latent class model, and the average probabilities of belonging were 27% for class 1, 32% for class 2, 23% for class 3, and 18% for class 4. The uptake probability varied between 14% and 85%, depending on the least to most preferred combination of levels. Conclusions: Respondents from different countries have different preferences for sharing their health data regarding the value of a review process and the reason for their new use. Offering respondents information about the use of their data and the possibility to opt out is the most preferred governance mechanism.
dc.languageEN
dc.publisherJMIR Publications
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titlePreferences of the Public for Sharing Health Data: Discrete Choice Experiment
dc.typeJournal article
dc.creator.authorViberg Johansson, Jennifer
dc.creator.authorBentzen, Heidi Beate
dc.creator.authorShah, Nisha
dc.creator.authorHaraldsdóttir, Eik
dc.creator.authorJonsdottir, Gudbjörg Andrea
dc.creator.authorKaye, Jane
dc.creator.authorMascalzoni, Deborah
dc.creator.authorVeldwijk, Jorien
cristin.unitcode185,12,2,0
cristin.unitnameInstitutt for privatrett
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1921673
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=JMIR Medical Informatics&rft.volume=9&rft.spage=&rft.date=2021
dc.identifier.jtitleJMIR Medical Informatics
dc.identifier.volume9
dc.identifier.issue7
dc.identifier.doihttps://doi.org/10.2196/29614
dc.identifier.urnURN:NBN:no-93768
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2291-9694
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/91171/1/Preferences%2Bof%2Bthe%2BPublic%2Bfor%2BSharing%2BHealth%2BData-%2BDiscrete%2BChoice%2BExperiment.pdf
dc.type.versionPublishedVersion
cristin.articleide29614
dc.relation.projectNORDFORSK/81105


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