Evidence map›Paper›PMID 22436125›Full record

ArticleInternational journal for equity in health2012

Healthcare access and mammography screening in Michigan: a multilevel cross-sectional study.

Tomi F Akinyemiju, Amr S Soliman, May Yassine, Mousumi Banerjee, Kendra Schwartz, Sofia Merajver

Abstract read
In one paragraph

Article in International journal for equity in health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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.

Tomi F AkinyemijuDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA. tomiaki@umich.edu.
Amr S Soliman
May Yassine
Mousumi Banerjee
Kendra Schwartz
Sofia Merajver

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer screening rates have increased over time in the United States. However actual screening rates appear to be lower among black women compared with white women. PURPOSE: To assess determinants of breast cancer screening among women in Michigan USA, focusing on individual and neighborhood socio-economic status and healthcare access.

methodsData from 1163 women ages 50-74 years who participated in the 2008 Michigan Special Cancer Behavioral Risk Factor Survey were analyzed. County-level SES and healthcare access were obtained from the Area Resource File. Multilevel logistic regression models were fit using SAS Proc Glimmix to account for clustering of individual observations by county. Separate models were fit for each of the two outcomes of interest; mammography screening and clinical breast examination. For each outcome, two sequential models were fit; a model including individual level covariates and a model including county level covariates.

resultsAfter adjusting for misclassification bias, overall cancer screening rates were lower than reported by survey respondents; black women had lower mammography screening rates but higher clinical breast examination rates than white women. However, after adjusting for other individual level variables, race was not a significant predictor of screening. Having health insurance or a usual healthcare provider were the most important predictors of cancer screening. DISCUSSION: Access to healthcare is important to ensuring appropriate cancer screening among women in Michigan.

Indexed as

AgedBlack or African AmericanBlack PeopleBreast NeoplasmsCross-Sectional StudiesEarly Detection of CancerFemaleHealthcare DisparitiesHealth Care SurveysHealth Services AccessibilityHumansMammographyMichiganMiddle AgedSocial ClassWhite People

Identifiers

PMID22436125
PMCPMC3414751

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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.