Evidence map›Paper›PMID 37201597›Full record

ArticlePreventive medicine2023

Factors associated with breast cancer screening services use among women in the United States: An application of the Andersen's Behavioral Model of Health Services Use.

Marie-Rachelle Narcisse, Sumit K Shah, Emily Hallgren, Holly C Felix, Mario Schootman, Pearl A McElfish

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  5. Review
  6. Social Drivers of Guideline-Discordant Breast Cancer Screening by Age and Mortality Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
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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

6 authors at 1 institution in 1 country.

Marie-Rachelle NarcisseCollege of Medicine, University of Arkansas for Medical Sciences Northwest, 2708 S. 48(th) St., Springdale, AR 72764, USA. Electronic address: narcissem@uams.edu.
Sumit K ShahOffice of Community Health and Research, University of Arkansas for Medical Sciences Northwest, 2708 S. 48(th) St., Springdale, AR 72764, USA.
Emily HallgrenCollege of Medicine, University of Arkansas for Medical Sciences Northwest, 2708 S. 48(th) St., Springdale, AR 72764, USA.
Holly C FelixFay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR 72205, USA.
Mario SchootmanCollege of Medicine, University of Arkansas for Medical Sciences Northwest, 2708 S. 48(th) St., Springdale, AR 72764, USA.
Pearl A McElfishCollege of Medicine, University of Arkansas for Medical Sciences Northwest, 2708 S. 48(th) St., Springdale, AR 72764, USA.
University of Arkansas for Medical Sciences · US

Funding

Expanding Translational Research in ArkansasUL1TR003107 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2019 to 2023
$21.6M
NCATS NIH HHS UL1 TR003107
6 · The paper itself

Abstract

This study applied Andersen's Behavioral Model of Health Services Use to examine predisposing, enabling, and need factors associated with adherence to the United States Preventive Services Task Force (USPSTF) guidelines for breast cancer screening (BCS). Multivariable logistic regression was used to determine factors of BCS services utilization among 5484 women aged 50-74 from the 2019 National Health Interview Survey. Predisposing factors significantly associated with use of BCS services were: being a Black (odds-ratios [OR]:1.49; 95% confidence interval [CI]:1.14-1.95) or a Hispanic woman (OR:2.25; CI:1.62-3.12); being married/partnered (OR:1.32, CI:1.12-1.55); having more than a bachelor's degree (OR: 1.62; CI:1.14-2.30); and living in rural areas (OR:0.72; CI:0.59-0.92). Enabling factors were: poverty level [≤138% federal poverty level (FPL) (OR:0.74; CI:0.56-0.97), >138-250% FPL (OR:0.77; CI:0.61-0.97), and > 250-400% FPL (OR:0.77; CI:0.63-0.94)]; being uninsured (OR:0.29; CI:0.21-0.40); having a usual source of care at a physician office (OR:7.27; CI:4.99-10.57) or other healthcare facilities (OR:4.12; CI:2.68-6.33); and previous breast examination by a healthcare professional (OR:2.10; CI:1.68-2.64). Need factors were: having fair/poor health (OR:0.76; CI:0.59-0.97) and being underweight (OR:0.46; CI:0.30-0.71). Disparities in BCS services utilization by Black and Hispanic women have been reduced. Disparities still exist for uninsured and financially restrained women living in rural areas. Addressing disparities in BCS uptake and improving adherence to USPSTF guidelines may require revamping policies that address disparities in enabling resources, such as health insurance, income, and health care access.

Indexed as

Breast NeoplasmsEarly Detection of CancerFemaleHealth ServicesHealth Services AccessibilityHumansInsurance, HealthPreventive Health ServicesUnited StatesAndersen's Behavioral Model of Health Services UseBreast cancer screeningNational Health Interview SurveyUnited States

Identifiers

PMID37201597
PMCPMC10773561
OpenAlexW4376638640

What OpenQuestion holds

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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.