Trust and Trade-Offs in Sharing Data for Precision Medicine: A National Survey of Singapore.

ABSTRACT:

Background

Precision medicine (PM) programs typically use broad consent. This approach requires maintenance of the social license and public trust. The ultimate success of PM programs will thus likely be contingent upon understanding public expectations about data sharing and establishing appropriate governance structures. There is a lack of data on public attitudes towards PM in Asia.

Methods

The aim of the research was to measure the priorities and preferences of Singaporeans for sharing health-related data for PM. We used adaptive choice-based conjoint analysis (ACBC) with four attributes: uses, users, data sensitivity and consent. We recruited a representative sample of n = 1000 respondents for an in-person household survey.

Results

Of the 1000 respondents,

SUBMITTER: Lysaght T 

PROVIDER: S-EPMC8465970 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature