4.6 Article

Primary Care Physician Supply, Insurance Type, and Late-Stage Cancer Diagnosis

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AMERICAN JOURNAL OF PREVENTIVE MEDICINE
卷 48, 期 2, 页码 174-178

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.amepre.2014.08.014

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资金

  1. National Cancer Institute at the University of Washington [R25CA092408, CA105632]
  2. Ohio State University
  3. CDC [5U58DP000795-05]

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Background: Understanding the joint effects of insurance type and primary care physician density on stage at diagnosis is essential to elucidating the healthcare access and late-stage cancer relationship. Purpose: To determine if the relationship between primary care physician density and odds of late-stage cancer are modified by insurance type at diagnosis. Methods: Case patients were Ohio adults diagnosed between 1996 and 2008 with cancer of one of the following sites: female breast, cervix, colon/rectum, lung/bronchus, melanoma of the skin, oral cavity and pharynx, or prostate (N=376,425). County-level physician density was obtained from the Ohio Department of Health. Multilevel logistic regression models estimated odds ratios of late-stage cancer diagnosis associated with increases in primary care physician density by insurance type. Analyses were conducted in 2014. Results: Decreases in late-stage diagnosis of cancers of the breast, prostate, melanoma of the skin, oral cavity and pharynx, or lung/bronchus associated with increases in primary care physician density were strongest among those with private insurance, whereas those with Medicare (prostate, oral cavity and pharynx, lung/bronchus), Medicaid (lung/bronchus), uninsured (prostate), and other/unknown (prostate, oral cavity and pharynx, lung/bronchus) did not benefit as greatly, or experienced significant increases in late-stage cancer diagnosis (other/unknown [female breast], Medicaid [melanoma of the skin], and uninsured [colon/rectum]). Conclusions: As primary care physician density increases, those with private insurance consistently benefit the most in terms of late-stage cancer diagnosis, whereas those with several other insurance types experience flatter decreases or significantly higher odds of late-stage cancer diagnosis. (C) 2015 American Journal of Preventive Medicine

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