Evidence map›Paper›PMID 39250153›Full record

Trial reportJAMA network open2024

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

Kimberly A Kaphingst, Wendy K Kohlmann, Rachelle Lorenz Chambers, Jemar R Bather, Melody S Goodman, Richard L Bradshaw, Daniel Chavez-Yenter, Sarah V Colonna, Whitney F Espinel, Jessica N Everett and 17 more

2 registry-linked trialsAbstract readRandomized Controlled TrialEquivalence Trial
In one paragraph

Trial report in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03985852 nacompletednot on this map

Broadening the Reach, Impact, and Delivery of Genetic Services

TypeinterventionalSponsorUniversity of UtahRan2020 to 2024Enrolled3,073ConditionsCancer, Risk Reduction BehaviorArmsPatient Directed Standard of Care
NCT07410689 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

SAFE.AI: Developing and Testing an AI-based Hybrid Chatbot for Financial Empowerment in Rural Cancer Care

TypeinterventionalSponsorUniversity of UtahRan2026 to 2027Enrolled60ConditionsCancer, Financial ToxicityArmsRule-Based Chatbot, Hybrid Chatbot
3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

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  19. GARDE-Chat: a scalable, open-source platform for building and deploying health chatbots.Journal of the American Medical Informatics Association : JAMIA · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors.

Kimberly A KaphingstHuntsman Cancer Institute, Salt Lake City, Utah.
Wendy K KohlmannHuntsman Cancer Institute, Salt Lake City, Utah.
Rachelle Lorenz ChambersPerlmutter Cancer Center, NYU Langone Health, New York.
Jemar R BatherSchool of Global Public Health, New York University, New York.
Melody S GoodmanSchool of Global Public Health, New York University, New York.
Richard L BradshawDepartment of Biomedical Informatics, University of Utah, Salt Lake City.
Daniel Chavez-YenterHuntsman Cancer Institute, Salt Lake City, Utah.
Sarah V ColonnaHuntsman Cancer Institute, Salt Lake City, Utah.
Whitney F EspinelHuntsman Cancer Institute, Salt Lake City, Utah.
Jessica N EverettPerlmutter Cancer Center, NYU Langone Health, New York.
Michael FlynnDepartment of Internal Medicine, University of Utah, Salt Lake City.
Amanda GammonHuntsman Cancer Institute, Salt Lake City, Utah.
Adrian HarrisSchool of Global Public Health, New York University, New York.
Rachel HessDepartment of Internal Medicine, University of Utah, Salt Lake City.
Lauren Kaiser-JacksonHuntsman Cancer Institute, Salt Lake City, Utah.
Sang LeePerlmutter Cancer Center, NYU Langone Health, New York.
Rachel MonahanPerlmutter Cancer Center, NYU Langone Health, New York.
Joshua D SchiffmanHuntsman Cancer Institute, Salt Lake City, Utah.
Molly VolkmarHuntsman Cancer Institute, Salt Lake City, Utah.
David W WetterHuntsman Cancer Institute, Salt Lake City, Utah.
Lingzi ZhongHuntsman Cancer Institute, Salt Lake City, Utah.
Devin M MannDepartment of Population Health, NYU Grossman School of Medicine, New York.
Ophira GinsburgCenter for Global Health, National Cancer Institute, Rockville, Maryland.
Meenakshi SigireddiPerlmutter Cancer Center, NYU Langone Health, New York.
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City.
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City.
Saundra S BuysHuntsman Cancer Institute, Salt Lake City, Utah.

Funding

Leveraging an electronic medical record infrastructure to identify primary care patients eligible for genetic testing for hereditary cancer and evaluate novel cancer genetics service delivery modelsU01CA232826 · NCI · UNIVERSITY OF UTAH · PI KAPHINGST, KIMBERLY A, SIGIREDDI, MEENAKSHI · 2018 to 2022
$5.5M
Scalable Clinical Decision Support for Individualized Cancer Risk ManagementU24CA204800 · NCI · UNIVERSITY OF UTAH · PI DEL FIOL, GUILHERME, KAWAMOTO, KENSAKU · 2017 to 2021
$3.7M
GARDE: Scalable Clinical Decision Support for Individualized Cancer Risk ManagementU24CA274582 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI GUILHERME DEL FIOL, Kensaku Kawamoto · 2023 to 2026
$3.3M
NCI NIH HHS U01 CA232826NCI NIH HHS U24 CA204800NCI NIH HHS U24 CA274582
6 · The paper itself

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 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. 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.

Indexed as

NeoplasmsStandard of CareAdultFemaleGenetic CounselingGenetic Predisposition to DiseaseGenetic ServicesGenetic TestingHumansMaleMiddle Aged

Identifiers

PMID39250153
PMCPMC11385050

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.