Table 3.
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | Model 7 | Model 8 | Model 9 | Model 10 | |
---|---|---|---|---|---|---|---|---|---|---|
Correlation | 0.347 | 0.446 | 0.454 | 0.423 | 0.405 | 0.473 | 0.454 | 0.466 | 0.480 | 0.464 |
c-statistic | 0.791 | 0.835 | 0.849 | 0.824 | 0.816 | 0.854 | 0.837 | 0.852 | 0.857 | 0.842 |
Sensitivity (p>.1) | 0.72 | 0.75 | 0.76 | 0.74 | 0.74 | 0.78 | 0.76 | 0.77 | 0.78 | 0.76 |
Positive predictive value | 0.22 | 0.26 | 0.29 | 0.26 | 0.24 | 0.29 | 0.26 | 0.29 | 0.29 | 0.26 |
BIC | −5,813 | −8,748 | −9,702 | −7,911 | −7,296 | −10,051 | −9,895 | −8,884 | −10,187 | −9,119 |
Model 1 (baseline): age, gender, insurance, panel.
Model 2: Model 1+number of chronic conditions.
Model 3: Model 1+DCG categories.
Model 4: Model 1+key condition indicators.
Model 5: Model 1+perceived health and functioning.
Model 6: Model 1+number of chronic conditions+DCG categories.
Model 7: Model 1+number of chronic conditions+key condition indicators.
Model 8: Model 1+DCG categories+key condition indicators.
Model 9: Model 1+number of chronic conditions+DCG categories+perceived health and functioning.
Model 10: Model 1+number of chronic conditions+key condition indicators+perceived health and functioning.
BIC, Bayesian information criterion; DCG, diagnostic cost group; MEPS, Medical Expenditure Panel Survey.