Evidence map›Paper›PMID 38907193›Full record

ArticleBMC women's health2024

Factors influencing U.S. women's interest and preferences for breast cancer risk communication: a cross-sectional study from a large tertiary care breast imaging center.

Jessica D Austin, Emily James, Rachel L Perez, Gina L Mazza, Juliana M Kling, Jessica Fraker, Lida Mina, Imon Banerjee, Richard Sharpe, Bhavika K Patel

Abstract read
In one paragraph

Article in BMC women's health, 2024. 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. Trial
  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.

Jessica D AustinDepartment of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, 13400 E. Shea Blvd, Scottsdale, AZ, 85259, USA. Austin.Jessica2@mayo.edu.
Emily JamesMayo Clinic College of Medicine of Medicine and Science, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA.
Rachel L PerezMayo Clinic College of Medicine of Medicine and Science, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA.
Gina L MazzaDepartment of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, 13400 E. Shea Blvd, Scottsdale, AZ, 85259, USA.
Juliana M KlingWomen's Health Internal Medicine, Department of Internal Medicine, Mayo Clinic, 13400 E. Shea Blvd, Scottsdale, AZ, 85259, USA.
Jessica FrakerWomen's Health Internal Medicine, Department of Internal Medicine, Mayo Clinic, 13400 E. Shea Blvd, Scottsdale, AZ, 85259, USA.
Lida MinaDepartment of Internal Medicine, Division of Medical Oncology, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA.
Imon BanerjeeDepartment of Diagnostic Radiology, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA.
Richard SharpeDepartment of Diagnostic Radiology, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA.
Bhavika K PatelDepartment of Diagnostic Radiology, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast imaging clinics in the United States (U.S.) are increasingly implementing breast cancer risk assessment (BCRA) to align with evolving guideline recommendations but with limited uptake of risk-reduction care. Effectively communicating risk information to women is central to implementation efforts, but remains understudied in the U.S. This study aims to characterize, and identify factors associated with women's interest in and preferences for breast cancer risk communication.

methodsThis is a cross-sectional survey study of U.S. women presenting for a mammogram between January and March of 2021 at a large, tertiary breast imaging clinic. Survey items assessed women's interest in knowing their risk and preferences for risk communication if considered to be at high risk in hypothetical situations. Multivariable logistic regression modeling assessed factors associated with women's interest in knowing their personal risk and preferences for details around exact risk estimates.

resultsAmong 1119 women, 72.7% were interested in knowing their breast cancer risk. If at high risk, 77% preferred to receive their exact risk estimate and preferred verbal (52.9% phone/47% in-person) vs. written (26.5% online/19.5% letter) communications. Adjusted regression analyses found that those with a primary family history of breast cancer were significantly more interested in knowing their risk (OR 1.5, 95% CI 1.0, 2.1, p = 0.04), while those categorized as "more than one race or other" were significantly less interested in knowing their risk (OR 0.4, 95% CI 0.2, 0.9, p = 0.02). Women 60 + years of age were significantly less likely to prefer exact estimates of their risk (OR 0.6, 95% CI 0.5, 0.98, p < 0.01), while women with greater than a high school education were significantly more likely to prefer exact risk estimates (OR 2.5, 95% CI 1.5, 4.2, p < 0.001).

conclusionU.S. women in this study expressed strong interest in knowing their risk and preferred to receive exact risk estimates verbally if found to be at high risk. Sociodemographic and family history influenced women's interest and preferences for risk communication. Breast imaging centers implementing risk assessment should consider strategies tailored to women's preferences to increase interest in risk estimates and improve risk communication.

Indexed as

Breast NeoplasmsMammographyPatient PreferenceAdultAgedCommunicationCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMiddle AgedRisk AssessmentSurveys and QuestionnairesTertiary Care CentersUnited StatesBreast cancer risk assessmentHealth communicationMammographyWomen’s preferences

Identifiers

PMID38907193
PMCPMC11191185

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Registered trials

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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.