title: An epidemiologic approach to assessing primary care needs in rural Illinois.
abstract: One persistent problem that faces state and federal health policy-makers is determining the level of primary care needs of the citizens they serve. To refine the decision making process in Illinois, a model was developed to compare the 84 rural counties of Illinois and their potential need for additional primary care interventions. Using expert panel methods, a group of public health professionals selected a set of 31 health status indicators that were available at the county level throughout the state. Next, the panel developed a weighting system for those indicators. These weighted values were then applied to the demographic and epidemiologic data from each of the counties to rank the counties on the basis of need. Indicators having the highest correlation with the weighted sum were the percent of the population enrolled in Medicaid, lung cancer mortality rate, general population mortality rate, proportion of population at poverty level, and percent of births to teens. Data also showed that the rural counties with the greatest needs clustered in five geographic regions. The identification of these five geographic clusters may facilitate collaborative efforts in meeting the primary care needs of these populations.
authors.affiliation: Center for Rural Health and Social Service Development, Southern Illinois University, Carbondale 62901, USA.
authors.forename: D W
authors.initials: DW
authors.lastname: Leitner
authors.forename: J A
authors.initials: JA
authors.lastname: Gast
authors.forename: P D
authors.initials: PD
authors.lastname: Sarvela
authors.forename: M C
authors.initials: MC
authors.lastname: Ring
authors.forename: L A
authors.initials: LA
authors.lastname: Newell
mesh_terms: D004812:Epidemiologic Methods; D006301:Health Services Needs and Demand / Q000706:statistics & numerical data*; D006302:Health Services Research / Q000379:methods*; D006305:Health Status Indicators; D007087:Illinois / Q000453:epidemiology; D011050:Policy Making; D011320:Primary Health Care / Q000706:statistics & numerical data*; D011640:Public Policy; D019035:Rural Health Services / Q000706:statistics & numerical data / Q000600:supply & distribution*; D012424:Rural Population / Q000706:statistics & numerical data