| Autor: |
Jennifer Viberg Johansson, Heidi Beate Bentzen, Nisha Shah, Eik Haraldsdóttir, Guðbjörg Andrea Jónsdóttir, Jane Kaye, Deborah Mascalzoni, Jorien Veldwijk |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
JMIR Medical Informatics, Vol 9, Iss 7, p e29614 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2291-9694 |
| DOI: |
10.2196/29614 |
| Popis: |
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 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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