Evidence map›Paper›PMID 40673618›Full record

ArticleJournal of genetic counseling2025

Primary care patient and clinician attitudes about population genomic screening, informed decision-making needs, and the potential for Chatbot technology.

Rebecca R Moultrie, Sara M Andrews, Kristi M Williams, Oksana Kutsa, Tarneisha Hudnell, Jennifer Brailsford, Sienna Aguilar, Sarah Savage, Barbara B Biesecker, Jessica Ezzell Hunter

Abstract read
In one paragraph

Article in Journal of genetic counseling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Rebecca R MoultrieRTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0003-2102-2287
Sara M AndrewsRTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0003-0218-0976
Kristi M WilliamsRTI International, Research Triangle Park, North Carolina, USA.ORCID 0009-0009-3063-653X
Oksana KutsaRTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0002-8148-6166
Tarneisha HudnellUniversity of Florida College of Medicine, Jacksonville, Florida, USA.ORCID 0009-0008-3120-0888
Jennifer BrailsfordUniversity of Florida College of Medicine, Jacksonville, Florida, USA.ORCID 0000-0001-5601-4039
Sienna AguilarLabcorp Genetics, Inc., Los Angeles, California, USA.ORCID 0009-0005-0245-3294
Sarah SavageLabcorp Genetics, Inc., Los Angeles, California, USA.ORCID 0000-0002-8737-1044
Barbara B BieseckerRTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0001-9665-8963
Jessica Ezzell HunterRTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0002-1117-1097

Funding

Access to Genetic Information Leveraging Innovative Technology (AGILITY) StudyR01HG011926 · NHGRI · RESEARCH TRIANGLE INSTITUTE · PI HUNTER, JESSICA EZZELL · 2021 to 2022
$927k
NHGRI NIH HHS R01 HG011926NIH HHS 1R01HG011926
6 · The paper itself

Abstract

The three CDC Tier 1 conditions (Hereditary Breast and Ovarian Cancer, Lynch Syndrome, and Familial Hypercholesterolemia) are estimated to affect 2 million people in the United States. Population-based genomic screening holds promise in identifying individuals who may not know their risk. This novel study explored primary care clinician and patient attitudes toward population screening generally and in the context of a research study and the potential for chatbot technology to support informed decision-making in the primary care context, perspectives vital to inform scalable, patient-centered approaches to facilitate population screening. We conducted semistructured interviews with primary care patients (N = 20) and primary care clinicians (N = 9) from primary care clinics at a patient-diverse academic medical center. The interviews focused on receptivity to population-level screening, information needs, and the potential for chatbot technology as a mechanism to support patient informed decision-aking about testing. Patient and clinician participants also reviewed a brief demonstration of the chatbot technology and shared their views. Interviews were recorded and transcribed. We used rapid qualitative analysis methodology to analyze interview data. Patients and clinicians acknowledged the benefits of population genomic screening and found the chatbot technology to be easy to navigate. Patients endorsed the utility of screening but raised concerns about data privacy and the desire for more information about the conditions and screening process. Clinicians gave insights into information that could be integrated to further support patients in informed decision-making. Overall, chatbot technology as a facilitator of population screening is a promising approach. The results of this study can improve future efforts to ensure that chatbots and similar technology incorporate vital information to facilitate informed decisions.

Indexed as

Attitude of Health PersonnelDecision MakingGenetic TestingAdultFemaleGenerative Artificial IntelligenceHumansMaleMiddle AgedPrimary Health CareChatbot technologyinformed decision‐makingpopulation genetic testingprimary care

Identifiers

PMID40673618
PMCPMC13340554

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.