One persistent problem that faces state and federal health policy-make
rs 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 countries of Illinois and their pot
ential need for additional primary care interventions. Using experi pa
nel methods, a group of public health professionals selected a set of
31 health status indicators that were available at the country level t
hroughout the state. Next, the panel developed a weighting system for
those indicators. These weighted values were then applied to the demog
raphic and epidemiologic data from each of the counties to rank the co
unties 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 rat
e, proportion of population at poverty level, and percent of births to
teens. Data also showed that the rural countries with the greatest ne
eds clustered in five geographic regions. The identification of these
five geographic clusters may facilitate collaborative efforts in meeti
ng the primary care needs of these populations.