US Residents’ Preferences for Sharing of Electronic Health Record and Genetic Information: A Discrete Choice Experiment

Abram L. Wagner, Felicia Zhang, Kerry A. Ryan, Eric Xing, Paige Nong, Sharon L.R. Kardia, Jodyn Platt

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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 languageEnglish (US)
Pages (from-to)1301-1307
Number of pages7
JournalValue in Health
Volume26
Issue number9
DOIs
StatePublished - Sep 2023
Externally publishedYes

Bibliographical note

Funding Information:
Funding/Support: This study was supported by the National Cancer Institute at the National Institutes of Health (#R01CA214829).

Publisher Copyright:
© 2023 International Society for Pharmacoeconomics and Outcomes Research, Inc.

Keywords

  • electronic health records
  • genetic data
  • information sharing
  • privacy

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural

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