Evidence map›Paper›PMID 24865409›Full record

ArticleJournal of women's health (2002)2014

Association between individual and geographic factors and nonadherence to mammography screening guidelines.

Kevin A Henry, Kaila McDonald, Recinda Sherman, Anita Y Kinney, Antoinette M Stroup

Abstract read
In one paragraph

Article in Journal of women's health (2002), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The KPROCS Study: A Real-World and Research Resource to Investigate Multilevel Determinants of Ovarian Cancer Treatment and Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  14. Breast Cancer Disparities and the Impact of Geography.Surgical oncology clinics of North America · 2022
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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

5 authors.

Kevin A Henry1 Department of Epidemiology and the Rutgers Cancer Institute of New Jersey, Rutgers School of Public Health, Rutgers University , New Brunswick, New Jersey.
Kaila McDonald
Recinda Sherman
Anita Y Kinney
Antoinette M Stroup

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigates factors that are associated with nonadherence to mammography screening guidelines in Utah, a state where mammography screening rates have remained consistently lower than national averages.

methodsWe examined data on reported mammography use among women aged 40-74 years from the 2008 and 2010 Utah Behavioral Risk Factor Surveillance System (n=5,197, weighted n=417,064). Logistic regression models were used to estimate the effects of individual-level and geographic (travel time to nearest mammography facility, geographic accessibility, and rural/urban residence) factors on the odds of a woman not reporting receiving a mammogram in the last 2 years.

resultsIn 2008 and 2010, a disproportionate number of women aged 40-49 (43.1%, 95% confidence interval [CI] 39.9%-46.3%) reported not receiving a mammogram within the last 2 years compared to women 50-74 (26.8%, 95% CI 24.9%-28.7%). None of the geographic factors were significant predictors of screening adherence. Based on covariate adjusted models, statistically significant (p<0.05) factors associated with increased odds of not receiving mammogram within the last 2 years included not having a regular physician, no health insurance, being aged 40-49, income less than $25,000, and the presence of three or more children in the home.

conclusionMammography screening efforts in Utah should focus on improving access to insurance or a regular source of health care. Future research should also consider how best to address extreme time demands and competing priorities that present potential barriers for women with large families, resulting in lower screening levels among these women.

Indexed as

Health Services AccessibilityPatient Acceptance of Health CareResidence CharacteristicsAdolescentAdultAgedAttitude to HealthBehavioral Risk Factor Surveillance SystemBreast NeoplasmsEarly Detection of CancerFemaleHealth Care SurveysHumansInsurance CoverageInsurance, HealthLogistic Models

Identifiers

PMID24865409
PMCPMC4129969

What OpenQuestion holds

Textmetadata
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.