title: Medicaid participation among urban primary care physicians.
abstract: OBJECTIVE
  This article describes Medicaid participation among office-based primary care physicians in cities and examines its determinants.
  
  
  METHODS
  Data used in this study were collected through the 1993 and 1994 American Medical Association Socioeconomic Monitoring System telephone surveys. The sample includes 1,300 primary care physicians. Our multivariate model includes a variety of personal, practice, community, and policy factors thought to influence participation. Logistic regression was used to examine determinants of accepting any Medicaid patients and ordinary least square regression was used to examine determinants of the extent of participation among participants.
  
  
  RESULTS
  The authors found that 19% of respondents did not participate in Medicaid and 62% had practices with 9% or fewer Medicaid patients. Multivariate analyses indicated that Medicaid payment levels were not associated with observed patterns of Medicaid participation. Community sociodemographic characteristics and demand from Medicaid-eligibles, by contrast, play a significant role in influencing observed levels of participation.
  
  
  CONCLUSIONS
  Strategies other than raising Medicaid payment levels will be needed to achieve equitable access to office-based primary care for the poor residing in cities.
authors.affiliation: School of Social Welfare, SUNY, Albany, NY 12222, USA.
authors.forename: J D
authors.initials: JD
authors.lastname: Perloff
authors.forename: P R
authors.initials: PR
authors.lastname: Kletke
authors.forename: J W
authors.initials: JW
authors.lastname: Fossett
authors.forename: S
authors.initials: S
authors.lastname: Banks
mesh_terms: D000553:Ambulatory Care / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D016018:Least-Squares Analysis; D016015:Logistic Models; D008297:Male; D008484:Medicaid / Q000706:statistics & numerical data*; D015999:Multivariate Analysis; D010821:Physicians, Family / Q000191:economics / Q000706:statistics & numerical data*; D011320:Primary Health Care / Q000191:economics / Q000706:statistics & numerical data*; D012051:Reimbursement Mechanisms; D014481:United States; D014505:Urban Population