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. 2017 Feb 6;32(7):815–821. doi: 10.1007/s11606-017-4003-4

Table 3.

Correlates of Being Able to Obtain a Price

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