| Presence of medical schools may contribute to reducing breast cancer mortality and disparities. | |
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MedLine Citation:
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PMID: 20693738 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Understanding differences among counties more or less successful in addressing breast cancer (BC) mortality disparities is important. Medical resources may be more available in counties with BC mortality rates (BCMR) low and similar for White and Black women. Based on Black and White BCMR we classified selected counties in four types from failing (high BCMR for both groups of women) to successful (low BCMR for both). Medical resource data were from Area Resource Files. In multivariate analyses, number of physicians or hospitals, HMO penetration, and proportion of hospitals with mammography centers did not predict county type. The proportion of hospitals with medical schools predicted counties being with Black:White disparities vs. with reverse disparities (OR 0.96, CI 0.94-0.99), or being successful vs. failing (OR 1.03, CI 1.00-1.06) or vs. with disparities (OR 1.04, CI 1.01-1.07). Medical resources did not explain county type differences, but type of care available may be important. |
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Authors:
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Maria Pisu; Deli Wang; Michelle Y Martin; Peter Baltrus; Robert S Levine |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of health care for the poor and underserved Volume: 21 ISSN: 1548-6869 ISO Abbreviation: J Health Care Poor Underserved Publication Date: 2010 Aug |
Date Detail:
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Created Date: 2010-08-09 Completed Date: 2010-09-10 Revised Date: 2010-09-30 |
Medline Journal Info:
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Nlm Unique ID: 9103800 Medline TA: J Health Care Poor Underserved Country: United States |
Other Details:
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Languages: eng Pagination: 961-76 Citation Subset: IM |
Affiliation:
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Department of Medicine, Division of Preventive Medicine, University of Alabama, Birmingham, Birmingham, AL 35294-4410, USA. mpisu@uab.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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African Continental Ancestry Group
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statistics & numerical data* Aged Breast Neoplasms / ethnology*, mortality European Continental Ancestry Group / statistics & numerical data* Female Health Maintenance Organizations Health Resources / supply & distribution* Health Status Disparities* Humans Mammography Multivariate Analysis Schools, Medical / supply & distribution* United States / epidemiology |
| Grant Support | |
ID/Acronym/Agency:
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U54 CA118638-04S30012/CA/NCI NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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