Scollon S, Robinson JO, Jo E, Suckiel SA, Amendola LM, Foreman AKM, Jarvik GP, Rini C, Wang T, Slavotinek A. Satisfaction with mode of delivery of genomic sequencing results in a diverse national sample of research participants through the Clinical Sequencing Evidence-Generating Research Consortium.
Genet Med 2024;
26:101176. [PMID:
38832564 DOI:
10.1016/j.gim.2024.101176]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 05/28/2024] [Accepted: 05/30/2024] [Indexed: 06/05/2024] Open
Abstract
PURPOSE
Research that includes diverse patient populations is necessary to optimize implementation of telehealth.
METHODS
As part of a Clinical Sequencing Evidence-Generating Research Consortium cross-site study, we assessed satisfaction with mode of return of results (RoR) delivery across a diverse sample of participants receiving genetic testing results in person vs telemedicine (TM).
RESULTS
Ninety-eight percent of participants were satisfied with their mode of results delivery. Participants receiving results by TM were more likely to report a preference for receiving results in a different way and challenges with providers noticing difficulties with understanding. More than 90% reported satisfaction across all items measuring support and interaction during sessions. Participants self-reporting Hispanic/Latino or Black/African American race and ethnicity compared with White/European American, fewer years of education, and having lower health literacy were more likely to report challenges with understanding the information or asking questions. Participants who were White/European American, had more years of education, and higher health literacy reported higher communication scores, reflecting more positive evaluations of the communication experience.
CONCLUSION
TM is an acceptable mode of return of results delivery across diverse settings and populations. Research optimizing approaches for underrepresented populations, populations with lower levels of education and health literacy, and multilingual populations is necessary.
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