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. 2016 Jul;22(7):10.18553/jmcp.2016.22.7.779. doi: 10.18553/jmcp.2016.22.7.779

TABLE 4.

Parsimonious Regression Models Explaining Difference in Performance Between East North Central and East South Central Regions

Effect PDC Diabetes PDC Statins HRM Use in Elderly
OR 95% CI OR 95% CI OR 95% CI
Regions
East North Central reference
East South Central 0.78 0.60-1.01 0.98 0.84-1.16 0.98 0.87-1.10
Store characteristics
Chain pharmacy reference
Independent pharmacy 1.36 1.08-1.72 1.42 1.23-1.64 1.37 1.23-1.53
County-level characteristics
High median income 0.67 0.56-0.81 0.74 0.65-0.84 0.71 0.64-0.79
High proportion of African-American population aged > 64 years 2.48 2.04-3.03 2.08 1.83-2.37 - -
High proportion of population aged > 64 years who were > 84 years 0.63 0.49-0.80 0.74 0.64-0.86 0.95 0.85-1.07
High proportion of Hispanic population aged > 64 years - - - - 0.57 0.49-0.65
High proportion of urban population - - - - 0.96 0.86-1.08
Counties with HPSA for part of area - - - - 0.78 0.67-0.90
Counties with HPSA for entire area - - - - 0.72 0.63-0.82
R-square 0.052 0.04 0.04

CI = confidence interval; HPSA = health professional shortage area; HRM = high-risk medication; OR = odds ratio; PDC = proportion of days covered; RASA = renin angiotensin receptor antagonist.