Uptake of Cancer Genetic Services for Chatbot vs Standard-of-Care Delivery Models: The BRIDGE Randomized Clinical Trial.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
03 Sep 2024
Historique:
medline: 9 9 2024
pubmed: 9 9 2024
entrez: 9 9 2024
Statut: epublish

Résumé

Increasing numbers of unaffected individuals could benefit from genetic evaluation for inherited cancer susceptibility. Automated conversational agents (ie, chatbots) are being developed for cancer genetics contexts; however, randomized comparisons with standard of care (SOC) are needed. To examine whether chatbot and SOC approaches are equivalent in completion of pretest cancer genetic services and genetic testing. This equivalence trial (Broadening the Reach, Impact, and Delivery of Genetic Services [BRIDGE] randomized clinical trial) was conducted between August 15, 2020, and August 31, 2023, at 2 US health care systems (University of Utah Health and NYU Langone Health). Participants were aged 25 to 60 years, had had a primary care visit in the previous 3 years, were eligible for cancer genetic evaluation, were English or Spanish speaking, had no prior cancer diagnosis other than nonmelanoma skin cancer, had no prior cancer genetic counseling or testing, and had an electronic patient portal account. Participants were randomized 1:1 at the patient level to the study groups at each site. In the chatbot intervention group, patients were invited in a patient portal outreach message to complete a pretest genetics education chat. In the enhanced SOC control group, patients were invited to complete an SOC pretest appointment with a certified genetic counselor. Primary outcomes were completion of pretest cancer genetic services (ie, pretest genetics education chat or pretest genetic counseling appointment) and completion of genetic testing. Equivalence hypothesis testing was used to compare the study groups. This study included 3073 patients (1554 in the chatbot group and 1519 in the enhanced SOC control group). Their mean (SD) age at outreach was 43.8 (9.9) years, and most (2233 of 3063 [72.9%]) were women. A total of 204 patients (7.3%) were Black, 317 (11.4%) were Latinx, and 2094 (75.0%) were White. The estimated percentage point difference for completion of pretest cancer genetic services between groups was 2.0 (95% CI, -1.1 to 5.0). The estimated percentage point difference for completion of genetic testing was -1.3 (95% CI, -3.7 to 1.1). Analyses suggested equivalence in the primary outcomes. The findings of the BRIDGE equivalence trial support the use of chatbot approaches to offer cancer genetic services. Chatbot tools can be a key component of sustainable and scalable population health management strategies to enhance access to cancer genetic services. ClinicalTrials.gov Identifier: NCT03985852.

Identifiants

pubmed: 39250153
pii: 2823183
doi: 10.1001/jamanetworkopen.2024.32143
doi:

Banques de données

ClinicalTrials.gov
['NCT03985852']

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2432143

Auteurs

Kimberly A Kaphingst (KA)

Huntsman Cancer Institute, Salt Lake City, Utah.
Department of Communication, University of Utah, Salt Lake City.

Wendy K Kohlmann (WK)

Huntsman Cancer Institute, Salt Lake City, Utah.

Rachelle Lorenz Chambers (R)

Perlmutter Cancer Center, NYU Langone Health, New York.

Jemar R Bather (JR)

School of Global Public Health, New York University, New York.

Melody S Goodman (MS)

School of Global Public Health, New York University, New York.

Richard L Bradshaw (RL)

Department of Biomedical Informatics, University of Utah, Salt Lake City.

Daniel Chavez-Yenter (D)

Huntsman Cancer Institute, Salt Lake City, Utah.
Department of Communication, University of Utah, Salt Lake City.

Sarah V Colonna (SV)

Huntsman Cancer Institute, Salt Lake City, Utah.
Veterans Administration Medical Center, Salt Lake City, Utah.

Whitney F Espinel (WF)

Huntsman Cancer Institute, Salt Lake City, Utah.

Jessica N Everett (JN)

Perlmutter Cancer Center, NYU Langone Health, New York.

Michael Flynn (M)

Department of Internal Medicine, University of Utah, Salt Lake City.
Department of Pediatrics, University of Utah, Salt Lake City.
Community Physicians Group, University of Utah Health, Salt Lake City.

Amanda Gammon (A)

Huntsman Cancer Institute, Salt Lake City, Utah.

Adrian Harris (A)

School of Global Public Health, New York University, New York.

Rachel Hess (R)

Department of Internal Medicine, University of Utah, Salt Lake City.
Department of Population Health Sciences, University of Utah, Salt Lake City.

Lauren Kaiser-Jackson (L)

Huntsman Cancer Institute, Salt Lake City, Utah.

Sang Lee (S)

Perlmutter Cancer Center, NYU Langone Health, New York.

Rachel Monahan (R)

Perlmutter Cancer Center, NYU Langone Health, New York.
Department of Population Health, NYU Grossman School of Medicine, New York.

Joshua D Schiffman (JD)

Huntsman Cancer Institute, Salt Lake City, Utah.
Department of Pediatrics, University of Utah, Salt Lake City.

Molly Volkmar (M)

Huntsman Cancer Institute, Salt Lake City, Utah.

David W Wetter (DW)

Huntsman Cancer Institute, Salt Lake City, Utah.
Department of Population Health Sciences, University of Utah, Salt Lake City.

Lingzi Zhong (L)

Huntsman Cancer Institute, Salt Lake City, Utah.

Devin M Mann (DM)

Department of Population Health, NYU Grossman School of Medicine, New York.

Ophira Ginsburg (O)

Center for Global Health, National Cancer Institute, Rockville, Maryland.

Meenakshi Sigireddi (M)

Perlmutter Cancer Center, NYU Langone Health, New York.

Kensaku Kawamoto (K)

Department of Biomedical Informatics, University of Utah, Salt Lake City.

Guilherme Del Fiol (G)

Department of Biomedical Informatics, University of Utah, Salt Lake City.

Saundra S Buys (SS)

Huntsman Cancer Institute, Salt Lake City, Utah.
Department of Internal Medicine, University of Utah, Salt Lake City.

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