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Volume 37, Issue 2, Pages 102-108 (August 2009)


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Mammography Capacity: Impact on Screening Rates and Breast Cancer Stage at Diagnosis

Linda S. Elting, DrPHaCorresponding Author Informationemail address, Catherine D. Cooksley, DrPHb, B. Nebiyou Bekele, PhDc, Sharon H. Giordano, MD, MPHd, Ya Chen Tina Shih, PhDa, Kelly K. Lovell, MSa, Elenir B.C. Avritscher, MD, MBA/MHAa, Richard Theriault, DO, MBAd

published online 15 June 2009.

Background

Mammography capacity in the U.S. reportedly is adequate, but has not been examined in nonmetropolitan areas. This study examined the relationships between in-county mammography facilities and rates of mammography screening and late-stage diagnosis of breast cancers.

Methods

The association between a mammography facility in the county of residence (2002–2004) and the odds of screening within 2 years were examined (in 2007) among Texas women aged >40 years who responded to the 2004 Behavioral Risk Factor Surveillance System survey, using multivariate logistic regression to control for age, race, ethnicity, education, income, self-reported health, insurance, and usual source of care. Similarly, the association between an in-county mammography facility and the odds of diagnosis with locally advanced or disseminated disease was examined among Texas women aged >40 years who developed breast cancer in 2004.

Results

Half of the 254 counties in Texas had no mammography facility. After controlling for confounding factors, an in-county facility was associated with significantly higher odds of screening (OR=3.27; p=0.03) and lower odds of late-stage breast cancer at diagnosis (OR=0.36; 95% CI=0.26–0.51; p<0.001). The risks of late-stage diagnosis were higher for African-American women (OR=1.52; 95% CI=1.22–1.89; p<0.001) and Hispanic women (OR=1.23; 95% CI=0.99–1.53; p=0.06) than for white women.

Conclusions

Although mammography capacity in the U.S. may be adequate on average, the unequal distribution of facilities results in large rural areas without facilities. Screening rates in these areas are suboptimal and are associated with late-stage diagnosis of breast cancer.

a Section of Health Services Research, University of Texas M.D. Anderson Cancer Center, Houston, Texas

b Quantitative Sciences Division, University of Texas M.D. Anderson Cancer Center, Houston, Texas

c Department of Biostatistics, University of Texas M.D. Anderson Cancer Center, Houston, Texas

d Breast Medical Oncology, University of Texas M.D. Anderson Cancer Center, Houston, Texas

Corresponding Author InformationAddress correspondence and reprint requests to: Linda S. Elting, DrPH, Professor and Chief, Section of Health Services Research, The University of Texas M.D. Anderson Cancer Center, 1400 Pressler Street, Unit 1411, Houston TX 77030

 The full text of this article is available via AJPM Online at www.ajpm-online.net.

PII: S0749-3797(09)00296-7

doi:10.1016/j.amepre.2009.03.017


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