Abstract
Objectives: The aim to this study was to assess preferences for sharing of electronic health record (EHR) and genetic information separately and to examine whether there are different preferences for sharing these 2 types of information. Methods: Using a population-based, nationally representative survey of the United States, we conducted a discrete choice experiment in which half of the subjects (N = 790) responded to questions about sharing of genetic information and the other half (N = 751) to questions about sharing of EHR information. Conditional logistic regression models assessed relative preferences across attribute levels of where patients learn about health information sharing, whether shared data are deidentified, whether data are commercialized, how long biospecimens are kept, and what the purpose of sharing the information is. Results: Individuals had strong preferences to share deidentified (vs identified) data (odds ratio [OR] 3.26, 95% confidence interval 2.68-3.96) and to be able to opt out of sharing information with commercial companies (OR 4.26, 95% confidence interval 3.42-5.30). There were no significant differences regarding how long biospecimens are kept or why the data are being shared. Individuals had a stronger preference for opting out of sharing genetic (OR 4.26) versus EHR information (OR 2.64) (P = .002). Conclusions: Hospital systems and regulatory bodies should consider patient preferences for sharing of personal medical records or genetic information. For both genetic and EHR information, patients strongly prefer their data to be deidentified and to have the choice to opt out of sharing information with commercial companies.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1301-1307 |
| Number of pages | 7 |
| Journal | Value in Health |
| Volume | 26 |
| Issue number | 9 |
| DOIs | |
| State | Published - Sep 2023 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2023 International Society for Pharmacoeconomics and Outcomes Research, Inc.
Keywords
- electronic health records
- genetic data
- information sharing
- privacy
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