Primary care physician supply, insurance type, and late-stage cancer diagnosis

Am J Prev Med. 2015 Feb;48(2):174-178. doi: 10.1016/j.amepre.2014.08.014. Epub 2014 Oct 29.

Abstract

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Delayed Diagnosis*
  • Female
  • Humans
  • Insurance, Health / statistics & numerical data
  • Male
  • Medicaid / statistics & numerical data
  • Medically Uninsured / statistics & numerical data
  • Medicare / statistics & numerical data
  • Neoplasms / diagnosis*
  • Ohio / epidemiology
  • Physicians, Primary Care / supply & distribution*
  • Private Sector
  • United States / epidemiology