Feasibility of the Genetic Information Assistant Chatbot to Provide Genetic Education and Study Genetic Test Adoption Among Pancreatic Cancer Patients at Johns Hopkins Hospital.

Autor:	Soley N; Johns Hopkins University, Institute for Computational Medicine.; Johns Hopkins Whiting School of Engineering., Klein A; Johns Hopkins University School of Medicine.; Johns Hopkins Bloomberg School of Public Health., Taylor CO; Johns Hopkins University, Institute for Computational Medicine.; Johns Hopkins University School of Medicine., Nguyen M; Johns Hopkins University, Institute for Computational Medicine.; Johns Hopkins University School of Medicine., Ewachiw G; Johns Hopkins University Krieger School of Arts and Sciences, Baltimore, MD., Shah H; Johns Hopkins University Krieger School of Arts and Sciences, Baltimore, MD., Bodurtha J; Johns Hopkins University School of Medicine.; Johns Hopkins Bloomberg School of Public Health.
Jazyk:	angličtina
Zdroj:	AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2023 Jun 16; Vol. 2023, pp. 497-504. Date of Electronic Publication: 2023 Jun 16 (Print Publication: 2023).
Abstrakt:	Genetic testing is a valuable tool to guide care of pancreatic cancer patients, yet personal and family uncertainty about the benefits of genetic testing (i.e., decisional conflict) may lead to low adoption. Enabling patients to learn more about genetic testing before their scheduled appointments may help to address this decisional conflict problem. We completed a feasibility assessment of a chatbot to provide genetic education (GEd) with 60 pancreatic cancer patients and using the chatbot to deliver surveys to assess: (a) opinions about the GEd, and (b) decisional conflict about genetic testing. Findings demonstrate intervention and study feasibility with about 80% of participants engaging with the GEd chatbot, 71% of which completed at least one survey. Overall, participants appear to have favorable opinions of the chatbot-delivered education and thought it was helpful to decide about genetic testing. Furthermore, patients who chose to get genetic testing spent more time interacting with the chatbot. Findings will be used to improve chatbot design and to facilitate a well-powered future trial. (©2023 AMIA - All rights reserved.)
Databáze:	MEDLINE
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