Evidence map›Paper›PMID 39484797›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2025

Primary care provider practices, attitudes, and confidence with hereditary cancer risk assessment and testing: A mixed methods study.

Sarah Conner, Tesla Theoryn, Emerson Dusic, Faith Beers, Sarah Knerr, Barbara Norquist, Brian H Shirts, Deborah Bowen, Elizabeth M Swisher, Catharine Wang

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2025. 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. Article
  3. Article
  4. Tumor risks and surveillance outcomes inEndocrine oncology (Bristol, England) · 2026
    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

10 authors.

Sarah ConnerGenetic Analysis Center, Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA. Electronic address: slewan@uw.edu.
Tesla TheorynInstitute for Public Health Genetics, School of Public Health, University of Washington, Seattle, WA; Department of Bioethics and Humanities, School of Medicine, University of Washington, Seattle, WA.
Emerson DusicInstitute for Public Health Genetics, School of Public Health, University of Washington, Seattle, WA; Department of Bioethics and Humanities, School of Medicine, University of Washington, Seattle, WA.
Faith BeersDepartment of Bioethics and Humanities, School of Medicine, University of Washington, Seattle, WA.
Sarah KnerrDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA.
Barbara NorquistDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, School of Medicine, University of Washington, Seattle, WA.
Brian H ShirtsInstitute for Public Health Genetics, School of Public Health, University of Washington, Seattle, WA; Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA.
Deborah BowenInstitute for Public Health Genetics, School of Public Health, University of Washington, Seattle, WA; Department of Bioethics and Humanities, School of Medicine, University of Washington, Seattle, WA.
Elizabeth M SwisherDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, School of Medicine, University of Washington, Seattle, WA.
Catharine WangDepartment of Community Health Sciences, School of Public Health, Boston University, Boston, MA.

Funding

Implementing the moon: Getting genomic testing to the publicU01CA232795 · NCI · UNIVERSITY OF WASHINGTON · PI SWISHER, ELIZABETH MARY · 2019 to 2020
$5.8M
NCI NIH HHS U01 CA232795
6 · The paper itself

Abstract

purposeThis study sought to better understand primary care providers' readiness to conduct population-based risk assessment and offer genetic testing for hereditary cancer.

methodsSixty primary care providers completed a survey assessing their current practices, attitudes, and confidence with cancer risk assessment and testing. Sixteen participated in follow-up interviews. Descriptive statistics are presented and supported by qualitative data.

resultsProviders preferred direct questioning over standardized screening tools. In interviews, providers said they are not ordering cancer-risk genetic testing even when it might be appropriate. Ninety-eight percent agree testing is important to clinical care, but 73% agree that it could negatively affect patients. Ninety percent were willing to offer targeted testing, but only 68% were willing to offer population-based risk assessment. Confidence performing different behaviors necessary in a cancer risk assessment varied, with only 32% confident responding to questions specifically related to genetic testing.

conclusionProviders are willing to offer genetic testing but unlikely to do so because they lack confidence in genetics-specific skill areas. Unsystematic approaches to family history screening and fears about follow-up complexity may exacerbate health disparities. Interventions to increase provider confidence in ascertaining and managing hereditary cancer are needed to achieve widespread adoption of population-based risk assessment and guideline-recommended genetic testing.

Indexed as

Attitude of Health PersonnelGenetic TestingNeoplasmsPractice Patterns, Physicians'Primary Health CareAdultFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedRisk AssessmentSurveys and QuestionnairesCancerGenetic testingPopulation screeningPrimary care

Identifiers

PMID39484797
PMCPMC12068322

What OpenQuestion 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 OpenQuestion graph.