Table 3.
Able to obtain a price (N = 7865) | ||
---|---|---|
Estimate | 95% CI | |
Caller characteristics | ||
Uninsured (ref = employer) | 0.270 *** | (0.240, 0.300) |
Marketplace (ref = employer) | −0.146 *** | (−0.172, -0.119) |
Female (ref = male) | 0.080 *** | (0.060, 0.100) |
Age <35 (ref = age > 35) | 0.012 | (−0.009, 0.034) |
Hypertension (ref = checkup) | −0.018 | (−0.038, 0.002) |
Office characteristics | ||
FQHC | −0.182 *** | (−0.231, −0.134) |
Family physician (ref = internal medicine) | 0.027 * | (0.003, 0.051) |
Solo practitioner (ref = 4+ physicians) | 0.076 *** | (0.047, 0.105) |
2–3 practitioners (ref = 4+ physicians) | 0.044 * | (0.010, 0.078) |
County characteristics | ||
Uninsured rate > 25.5% (ref = 13–25.5%) | 0.036 | (−0.003, 0.074) |
Uninsured rate < 13% (ref = 13–25.5%) | 0.020 | (−0.022, 0.062) |
Median income > $60 k (ref = $45–$60 k) | −0.006 | (−0.036, 0.024) |
Median income < $45 k (ref = $45–$60 k) | −0.004 | (−0.037, 0.029) |
State (ref = Texas) | ||
Arkansas | 0.007 | (−0.044, 0.057) |
Georgia | −0.025 | (−0.072, 0.022) |
Iowa | −0.045 | (−0.096, 0.007) |
Illinois | −0.036 | (−0.102, 0.031) |
Massachusetts | −0.178 *** | (−0.254, −0.101) |
Montana | −0.022 | (−0.083, 0.039) |
New Jersey | −0.078 ** | (−0.135, −0.020) |
Oregon | −0.031 | (−0.094, 0.032) |
Pennsylvania | −0.076 * | (−0.134, −0.018) |
*P < 0.05, **P < 0.01, ***P < 0.001. Coefficients represent predicted margins from regression models. Estimates from probit models can be interpreted as percentage point differences. Standard errors are estimated using bootstrapping
Source: Authors’ analysis of primary data from the ten-state primary care audit study linked to 2014 data from SK&A and the 2014 County Health Rankings