Abstract
The purpose of this study was to formulate and test two case-mix models for depression treatment that permit comparisons of patient outcomes across diverse clinical settings. It assessed demographics; eight, diagnostic-specific, case-mix variables; and clinical status at baseline and follow-up for 187 patients. Regressions were performed to test two models for four dependent variables including depression severity and diagnosis. Individual treatment settings were then ranked based on a comparison of actual versus predicted outcomes using regression coefficients and predictor variables. A model inclusive of baseline physical health status and depression severity predicted depression severity, mental health, and physical health functioning at follow-up. A simpler model performed well in predicting depression remission. This study identifies variables to be included in case-mix adjustment models and demonstrates statistical methods to control for differences across settings when comparing depression outcomes.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 287-300 |
| Number of pages | 14 |
| Journal | Journal of Behavioral Health Services and Research |
| Volume | 28 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2001 |
| Externally published | Yes |
Bibliographical note
Funding Information:This research was supported, in part, by an Independent Scientist Award from National Institute of Drug Abuse (NIDA) to Dr Booth (K02 DA00346), by a National Institute of Mental Health (NIMH) Centers for Mental Health Services Research grant to Dr Smith (P50-MH48197), and by a T-32 grant from NIMH to Dr Mancino (MH20024-01).