The role of spatially-derived access-to-care characteristics in melanoma prevention and control in Los Angeles county

Health Place. 2017 May:45:160-172. doi: 10.1016/j.healthplace.2017.01.004. Epub 2017 Apr 6.

Abstract

Among 10,068 incident cases of invasive melanoma, we examined the effects of patient characteristics and access-to-care on the risk of advanced melanoma. Access-to-care was defined in terms of census tract-level sociodemographics, health insurance, cost of dermatological services and appointment wait-times, clinic density and travel distance. Public health insurance and education level were the strongest predictors of advanced melanomas but were modified by race/ethnicity and poverty: Hispanic whites and high-poverty neighborhoods were worse off than non-Hispanic whites and low-poverty neighborhoods. Targeting high-risk, underserved Hispanics and high-poverty neighborhoods (easily identified from existing data) for early melanoma detection may be a cost-efficient strategy to reduce melanoma mortality.

Keywords: Cancer surveillance data; Health care accessibility; High-risk population; Melanoma; Minority groups.

MeSH terms

  • Censuses
  • Female
  • Health Services Accessibility*
  • Hispanic or Latino / statistics & numerical data
  • Humans
  • Insurance Coverage / statistics & numerical data
  • Insurance, Health / statistics & numerical data
  • Los Angeles
  • Male
  • Melanoma / diagnosis
  • Melanoma / prevention & control*
  • Poverty
  • Racial Groups
  • Residence Characteristics
  • Risk Factors
  • Spatial Analysis*
  • White People / statistics & numerical data