Table 2.
Block | df | Nagelkerke R2 change | p |
---|---|---|---|
Site | 3 | .04 | <.001 |
Demographic characteristics | 4 | .07 | <.001 |
Insurance and family history | 3 | .01 | .241 |
Specific diagnoses | 8 | .09 | <.001 |
Severity | 4 | .05 | <.001 |
Provider type | 3 | .05 | <.001 |
Based on logistic regressions predicting use of two or more medications concurrently. Sensitivity analyses using Poisson regression to predict the count of the total number of medications found the same predictors and patterns, with slightly smaller p values for several due to the greater variance in the dependent measure. Final model: Total R2=25, Nagelkerke R2 change=.30, p<.001