Table 4.
Correlates of Health Insurance Comprehension†
| Count Ratio (SE) | |
|---|---|
| Regressors of interest | |
| Nine-plan condition | 0.79*** (0.02) |
| Numeracy | 1.09*** (0.02) |
| Covariates | |
| Patient activation | 1.00 (0.01) |
| Missing patient activation | 1.06 (0.04) |
| Health risk | 1.03* (0.02) |
| Financial investment | 1.02* (0.01) |
| Financial risk | 0.96** (0.01) |
| Time discounting | 1.02* (0.01) |
| Age | 1.00** (0.01) |
| Male | 0.97 (0.04) |
| NHAA | 0.84*** (0.05) |
| Other race | 0.97 (0.04) |
| Some college | 1.01 (0.04) |
| College or more | 0.94 (0.04) |
| Employed | 1.00 (0.03) |
| FPL | 0.98 (0.04) |
| Rural | 0.86** (0.05) |
| Fair or poor health | 1.01 (0.04) |
| Any chronic disease | 1.01 (0.04) |
| High utilization | 0.93 (0.05) |
| Constant | 1.94*** (0.34) |
| Observations | 852 |
| Number of individuals | 437 |
†
Correlates of health insurance comprehension were modeled using generalized estimating equations (GEE) assuming a Poisson distribution for the outcome. Robust standard errors were used.
*
p < .10,
**
p < .05,
***
p < .01.