Table 1.
Candidate predictors of treatment engagement by domain.
| Domain | Variable |
|---|---|
| Demographics | Age |
| Race (Caucasian/Non-Caucasian) | |
| Gender (male/female) | |
| Education (HS graduate/Not HS graduate) | |
| Veteran status (veteran/not veteran) | |
| Psychiatric/clinical | Diagnosis (schizophrenia spectrum disorder vs. other) |
| Days of hospitalization, past 90 days | |
| PANSSa Positive Subscale | |
| PANSS negative subscale | |
| PANSS general subscale | |
| PANSS depression subscale | |
| Substance abuse/clinical | Current/recent drug dependence |
| Current alcohol dependence | |
| Heroin use, years | |
| Cocaine use, years | |
| Marijuana use, years | |
| Days of drug useb, last month | |
| Days of drug problems, last month | |
| Days drug treatment, last month | |
| Legal trouble | Arrested in last 90 days (yes/no) |
| Number of arrests/charges (lifetime) | |
| Family/social | Independent living situation (yes/no) |
| Subjective family BQOLc subscale | |
| Objective family BQOL subscale | |
| Subjective social BQOL subscale | |
| Objective social BQOL subscale | |
| Days of family conflict, last month | |
| Days of other conflict, last month | |
| Motivation to change | Readiness to change |
| Temptation to use drugs |
a
Positive and negative syndrome scale.
b
Days of drug use = number of days of cocaine use + number of days of heroin use + number of days of marijuana use in the past 30 days.
c
Brief quality of life inventory.