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. 2014 Apr 30;50(1):58–80. doi: 10.1111/1475-6773.12181

Table 3.

Correlates of Choice Consistency

Count Ratio (SE) Count Ratio (SE)
Regressors of interest
 Health insurance comprehension 1.13*** (0.03)
 Nine-plan condition 0.93** (0.03) 1.00 (0.04)
 Numeracy 1.01 (0.03) 0.99 (0.02)
Covariates
 Patient activation 1.00 (0.01) 1.00 (0.01)
 Missing patient activation 1.15** (0.07) 1.13* (0.07)
 Health risk 1.05* (0.03) 1.04 (0.03)
 Financial investment 0.97 (0.01) 0.97 (0.02)
 Financial risk 0.98 (0.03) 0.99 (0.03)
 Time discounting 0.99 (0.02) 0.98 (0.02)
 Age 1.00 (0.01) 1.00 (0.01)
 Male 0.90* (0.05) 0.91 (0.05)
 NHAA 1.10 (0.09) 1.15 (0.09)
 Other race 1.11 (0.10) 1.13 (0.10)
 Some college 0.93 (0.06) 0.92 (0.05)
 College or more 0.81*** (0.06) 0.82*** (0.06)
 Employed 0.89** (0.05) 0.89** (0.04)
 FPL 0.96 (0.06) 0.97 (0.06)
 Rural 0.91 (0.09) 0.95 (0.09)
 Fair or poor health 0.81*** (0.06) 0.81** (0.06)
 Any chronic disease 1.08 (0.07) 1.08 (0.06)
 High utilization 1.07 (0.09) 1.09 (0.08)
 Constant 1.31 (0.37) 1.03 (0.28)
Indirect effects§ (mediation)
 Nine plans 1.08*** (0.02)
Observations 848 848
Number of individuals 437 437

Correlates of choice consistency modeled using GEE assuming a Poisson distribution for the outcome. Robust standard errors were used.

§

Indirect effects were calculated by subtracting the coefficient of interest in the model controlling for the mediator from the same unexponentiated coefficient in the model without the mediator. Standard errors and percentile method confidence intervals for indirect effects were obtained by bootstrapping using 10,000 replicates.

*

p < .10,

**

p < .05,

***

p < .01.