Your browser doesn't support javascript.
loading
Uptake of Cancer Genetic Services for Chatbot vs Standard-of-Care Delivery Models: The BRIDGE Randomized Clinical Trial.
Kaphingst, Kimberly A; Kohlmann, Wendy K; Lorenz Chambers, Rachelle; Bather, Jemar R; Goodman, Melody S; Bradshaw, Richard L; Chavez-Yenter, Daniel; Colonna, Sarah V; Espinel, Whitney F; Everett, Jessica N; Flynn, Michael; Gammon, Amanda; Harris, Adrian; Hess, Rachel; Kaiser-Jackson, Lauren; Lee, Sang; Monahan, Rachel; Schiffman, Joshua D; Volkmar, Molly; Wetter, David W; Zhong, Lingzi; Mann, Devin M; Ginsburg, Ophira; Sigireddi, Meenakshi; Kawamoto, Kensaku; Del Fiol, Guilherme; Buys, Saundra S.
Afiliação
  • Kaphingst KA; Huntsman Cancer Institute, Salt Lake City, Utah.
  • Kohlmann WK; Department of Communication, University of Utah, Salt Lake City.
  • Lorenz Chambers R; Huntsman Cancer Institute, Salt Lake City, Utah.
  • Bather JR; Perlmutter Cancer Center, NYU Langone Health, New York.
  • Goodman MS; School of Global Public Health, New York University, New York.
  • Bradshaw RL; School of Global Public Health, New York University, New York.
  • Chavez-Yenter D; Department of Biomedical Informatics, University of Utah, Salt Lake City.
  • Colonna SV; Huntsman Cancer Institute, Salt Lake City, Utah.
  • Espinel WF; Department of Communication, University of Utah, Salt Lake City.
  • Everett JN; Huntsman Cancer Institute, Salt Lake City, Utah.
  • Flynn M; Veterans Administration Medical Center, Salt Lake City, Utah.
  • Gammon A; Huntsman Cancer Institute, Salt Lake City, Utah.
  • Harris A; Perlmutter Cancer Center, NYU Langone Health, New York.
  • Hess R; Department of Internal Medicine, University of Utah, Salt Lake City.
  • Kaiser-Jackson L; Department of Pediatrics, University of Utah, Salt Lake City.
  • Lee S; Community Physicians Group, University of Utah Health, Salt Lake City.
  • Monahan R; Huntsman Cancer Institute, Salt Lake City, Utah.
  • Schiffman JD; School of Global Public Health, New York University, New York.
  • Volkmar M; Department of Internal Medicine, University of Utah, Salt Lake City.
  • Wetter DW; Department of Population Health Sciences, University of Utah, Salt Lake City.
  • Zhong L; Huntsman Cancer Institute, Salt Lake City, Utah.
  • Mann DM; Perlmutter Cancer Center, NYU Langone Health, New York.
  • Ginsburg O; Perlmutter Cancer Center, NYU Langone Health, New York.
  • Sigireddi M; Department of Population Health, NYU Grossman School of Medicine, New York.
  • Kawamoto K; Huntsman Cancer Institute, Salt Lake City, Utah.
  • Del Fiol G; Department of Pediatrics, University of Utah, Salt Lake City.
  • Buys SS; Huntsman Cancer Institute, Salt Lake City, Utah.
JAMA Netw Open ; 7(9): e2432143, 2024 Sep 03.
Article em En | MEDLINE | ID: mdl-39250153
ABSTRACT
Importance 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.

Objective:

To examine whether chatbot and SOC approaches are equivalent in completion of pretest cancer genetic services and genetic testing. Design, Setting, and

Participants:

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. Intervention Participants were randomized 11 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. Main Outcomes and

Measures:

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.

Results:

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. Conclusions and Relevance 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. Trial Registration ClinicalTrials.gov Identifier NCT03985852.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Padrão de Cuidado / Neoplasias Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Padrão de Cuidado / Neoplasias Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article