Evidence map›Paper›PMID 40497580›Full record

Trial reportHealth services research2026

Importance of Prior Patient Interactions With the Healthcare System to Engaging With Pretest Cancer Genetic Services via Digital Health Tools Among Unaffected Primary Care Patients: Findings From the BRIDGE Trial.

Lingzi Zhong, Jemar R Bather, Melody S Goodman, Lauren Kaiser-Jackson, Molly Volkmar, Richard L Bradshaw, Rachelle Lorenz Chambers, Daniel Chavez-Yenter, Sarah V Colonna, Whitney Maxwell and 12 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
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

22 authors.

Lingzi ZhongHuntsman Cancer Institute, Salt Lake City, Utah, USA.
Jemar R BatherSchool of Global Public Health, New York University, New York, New York, USA.ORCID https://orcid.org/0000-0002-0285-3678
Melody S GoodmanSchool of Global Public Health, New York University, New York, New York, USA.
Lauren Kaiser-JacksonHuntsman Cancer Institute, Salt Lake City, Utah, USA.
Molly VolkmarHuntsman Cancer Institute, Salt Lake City, Utah, USA.
Richard L BradshawDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Rachelle Lorenz ChambersPerlmutter Cancer Center, NYU Langone Health, New York, New York, USA.
Daniel Chavez-YenterHuntsman Cancer Institute, Salt Lake City, Utah, USA.
Sarah V ColonnaHuntsman Cancer Institute, Salt Lake City, Utah, USA.
Whitney MaxwellHuntsman Cancer Institute, Salt Lake City, Utah, USA.
Michael FlynnDepartment of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.
Amanda GammonHuntsman Cancer Institute, Salt Lake City, Utah, USA.
Rachel HessDepartment of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.
Devin M MannDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Rachel MonahanPerlmutter Cancer Center, NYU Langone Health, New York, New York, USA.
Yang YiHuntsman Cancer Institute, Salt Lake City, Utah, USA.
Meenakshi SigireddiPerlmutter Cancer Center, NYU Langone Health, New York, New York, USA.
David W WetterHuntsman Cancer Institute, Salt Lake City, Utah, USA.
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Saundra S BuysHuntsman Cancer Institute, Salt Lake City, Utah, USA.
Kimberly A KaphingstHuntsman Cancer Institute, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0003-2668-9080

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
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 U01CA232826NCI NIH HHS U24 CA274582
6 · The paper itself

Abstract

objectiveTo examine whether patient sociodemographic and clinical characteristics and prior interactions with the healthcare system were associated with opening patient portal messages related to cancer genetic services and beginning services. STUDY SETTING AND

designThe trial was conducted in the University of Utah Health (UHealth) and NYU Langone Health (NYULH) systems. Between 2020 and 2023, 3073 eligible primary care patients aged 25-60 years meeting family history-based criteria for cancer genetic evaluation were randomized 1:1 to receive a patient portal message with a hyperlink to a pretest genetics education chatbot or information about scheduling a pretest standard of care (SOC) appointment. DATA SOURCES AND ANALYTIC SAMPLE: Primary data were collected. Eligible patients had a primary care visit in the previous 3 years, a patient portal account, no prior cancer diagnosis except nonmelanoma skin cancer, no prior cancer genetic services, and English or Spanish as their preferred language. Multivariable models identified predictors of opening patient portal messages by site and beginning pretest genetic services by site and experimental condition. PRINCIPAL

findingsNumber of previous patient portal logins (UHealth average marginal effect [AME]: 0.32; 95% CI: 0.27, 0.38; NYULH AME: 0.33; 95% CI: 0.27, 0.39), having a recorded primary care provider (NYULH AME: 0.15; 95% CI: 0.08, 0.22), and more primary care visits in the previous 3 years (NYULH AME: 0.09; 95% CI: 0.02, 0.16) were associated with opening patient portal messages about genetic services. Number of previous patient portal logins (UHealth AME: 0.14; 95% CI: 0.08, 0.21; NYULH AME: 0.18; 95% CI: 0.12, 0.23), having a recorded primary care provider (NYULH AME: 0.08; 95% CI: 0.01, 0.14), and more primary care visits in the previous 3 years (NYULH AME: 0.07; 95% CI: 0.01, 0.13) were associated with beginning pretest genetic services. Patient sociodemographic and clinical characteristics were not significantly associated with either outcome.

conclusionsAs system-level initiatives aim to reach patients eligible for cancer genetic services, patients already interacting with the healthcare system may be most likely to respond. Addressing barriers to accessing healthcare and technology may increase engagement with genetic services.

Indexed as

Genetic ServicesNeoplasmsPatient PortalsPrimary Health CareAdultDigital HealthFemaleHumansMaleMiddle AgedUtahchatbotdigital health technologygenetic counselinggenetic servicesprimary care

Identifiers

PMID40497580
PMCPMC12782189

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.