title: Community residential segregation and the local supply of federally qualified health centers.
abstract: OBJECTIVE
  To examine associations between community residential segregation by income and race/ethnicity, and the supply of federally qualified health centers (FQHCs) in urban areas.
  
  
  METHODS
  Area Resource File (2000-2007) linked with 2000 U.S. Census on U.S. metropolitan counties (N = 1,786).
  
  
  METHODS
  We used logistic and negative binomial regression models with state-level fixed effects to examine how county-level characteristics in 2000 are associated with the presence of FQHCs in 2000, and with the increase in FQHCs from 2000 to 2007. Income and racial/ethnic residential segregation were measured by poverty and the non-white dissimilarity indices, respectively. Covariates included measures of federal criteria for medically underserved areas/populations.
  
  
  RESULTS
  Counties with a high non-white dissimilarity index and a high percentage of minorities were more likely to have an FQHC in 2000. When we examined the addition of new FQHCs from 2000 to 2007, the effects of both poverty and non-white dissimilarity indices were positive and significant.
  
  
  CONCLUSIONS
  Residential segregation likely produces geographic segregation of health services, such that provider maldistribution may explain the association between residential segregation and FQHC supply. Metropolitan areas that fail to achieve greater integration of poor and minority communities may require FQHCs to compensate for provider shortages.
authors: Fielding School of Public Health, University of California, Los Angeles, 650 Charles E. Young Drive, Los Angeles, CA 90095, USA.
authors: Michelle
authors: M
authors: Ko
authors: Ninez A
authors: NA
authors: Ponce
mesh_terms: D003153:Community Health Services / Q000706:statistics & numerical data*; D003430:Cross-Sectional Studies; D005380:Financing, Government / Q000706:statistics & numerical data*; D006280:Health Workforce / Q000706:statistics & numerical data; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D007226:Infant Mortality / Q000639:trends; D007231:Infant, Newborn; D008507:Medically Underserved Area; D008913:Minority Groups / Q000706:statistics & numerical data*; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D014481:United States; D014505:Urban Population / Q000706:statistics & numerical data*