Dataset Information

Disability inclusion in precision medicine research: a first national survey.

ABSTRACT: PURPOSE:Including people with disabilities in precision medicine research (PMR) is key for increasing cohorts' diversity, improving understanding of population health, and attaining social justice for the United States' largest health disparities group. We conducted a national survey to explore the views of people with disabilities about PMR. METHODS:An online survey was developed in disability-accessible formats. Key questions included views on PMR, willingness to participate and to provide data, perceived barriers to participation and potential remedies, and interest in engagement in the study. Analyses described results for all participants and compared results for key demographic characteristics. RESULTS:In total, 1294 participants completed the survey. Participants expressed strong support for PMR, and willingness to participate in PMR; to provide lifestyle, biological, and medical information; and to engage with the study. However, 76% identified a total of 3 to 8 barriers to participation, and most would not provide environmental samples or information from their social media account(s) and activity trackers. Differences were observed across racial, ethnic, and gender groups and are discussed. CONCLUSIONS:Barriers to disability inclusion need to be removed, and further research conducted to better understand concerns about PMR and to develop studies that resonate with the interests and needs of this population.

SUBMITTER: Sabatello M

PROVIDER: S-EPMC6755064 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Disability inclusion in precision medicine research: a first national survey.

Sabatello Maya M Chen Ying Y Zhang Yuan Y Appelbaum Paul S PS

Genetics in medicine : official journal of the American College of Medical Genetics 20190322 10

<h4>Purpose</h4>Including people with disabilities in precision medicine research (PMR) is key for increasing cohorts' diversity, improving understanding of population health, and attaining social justice for the United States' largest health disparities group. We conducted a national survey to explore the views of people with disabilities about PMR.<h4>Methods</h4>An online survey was developed in disability-accessible formats. Key questions included views on PMR, willingness to participate and ...[more]

PMID: 30899094

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Project description: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. 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. Of the 1000 respondents, 52% were female and majority were in the age range of 40-59 years (40%), followed by 21-39 years (33%) and 60 years and above (27%). A total of 64% were generally willing to share de-identified health data for IRB-approved research without re-consent for each study. Government agencies and public institutions were the most trusted users of data. The importance of the four attributes on respondents' willingness to share data were: users (39.5%), uses (28.5%), data sensitivity (19.5%), consent (12.6%). Most respondents found it acceptable for government agencies and hospitals to use de-identified data for health research with broad consent. Our sample was consistent with official government data on the target population with 52% being female and majority in the age range of 40-59 years (40%), followed by 21-39 years (33%) and 60 years and above (27%). While a significant body of prior research focuses on preferences for consent, our conjoint analysis found consent was the least important attribute for sharing data. Our findings suggest the social license for PM data sharing in Singapore currently supports linking health and genomic data, sharing with public institutions for health research and quality improvement; but does not support sharing with private health insurers or for private commercial use.

Dataset Information

Disability inclusion in precision medicine research: a first national survey.

Publications

Disability inclusion in precision medicine research: a first national survey.

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