Table 3 Results of logistic regression analysis for the odds of ranking pharmacare first for new government spending (No=0, Yes=1)
Characteristics | Model 1: Unadjusted OR† | Model 2: Adjusted OR‡ | ||
|---|---|---|---|---|
Odds ratio [95% CI] | P | Odds ratio [95% CI] | P | |
Sex | ||||
Male | .98 [.73, 1.32] | .905 | .89 [.62,1.26] | .494 |
Female (reference) | ||||
Age | ||||
18– 29 | .43 [.24, .77] | .005 | .30 [.15,.62] | .001 |
30–44 | .81 [.50, 1.32] | .402 | .53 [.30,.94] | .028 |
45–64 | 1.26 [.80, 1.98] | .320 | .85 [.50,1.44] | .542 |
65+ (reference) | ||||
Household income | ||||
<$20-000 | 1.16 [.66,2.04] | .604 | .98 [.51,1.86] | .938 |
$20,000-<$40,000 | .92 [.57,1.47] | .713 | .91 [.52,1.56] | .719 |
$40,000-<$60,000 | 1.16 [.73, 1.84] | .518 | .99 [.59,1.66] | .989 |
$60,000-<$80,000 | 1.52 [.92, 2.52] | .106 | 1.64 [.96,2.81] | .071 |
$80,000+ (reference) | ||||
Educational attainment | ||||
<High-school | 1.02 [.71, 1.46] | 1.03 [.66,1.59] | .897 | |
College | .90 [.69, 1.32] | .583 | .933 [.60,1.46] | .763 |
University/Post-grad (reference) | ||||
Residence status | ||||
Rural | .92 [.61, 1.37] | .671 | [Not included in model] | |
Urban (reference) | ||||