Table 4. Regression Models Predicting Short- and Long-Term Treatment Outcomes.
Model 1 | Model 2 | ||
---|---|---|---|
Success at treatment discharge (N=24,988) | No. of arrests 12 months post-intake (N=25,297) | ||
Point Estimate | Odds Ratio | Point Estimate | |
Offender-level factors | |||
On parole at intake (vs. probation) | -0.466*** | 0.628 | 0.233*** |
Age at intake (per year above mean age of sample) | 0.011*** | 1.011 | -0.012*** |
Male (vs. female) | 0.002 | 1.002 | 0.120*** |
White race/ethnicity (vs. all other race/ethnicity) | 0.129*** | 1.138 | 0.025** |
Education level at intake (per year of education above mean education level of sample) | 0.039*** | 1.039 | 0.0006 |
Employed at intake (vs. not employed) | 0.165*** | 1.179 | -0.045*** |
Social support at intake (vs. no social support) | 0.323*** | 1.386 | -0.022 |
Homeless at intake (vs. not homeless) | -0.034 | 0.967 | -0.009 |
Mentally ill at intake (vs. not mentally ill) | -0.035 | 0.932 | 0.032* |
County size very small (vs. large) | -0.257** | 0.668 | -0.060 |
County size small (vs. large) | 0.103* | 0.958 | 0.072** |
County size medium (vs. large) | 0.007 | 0.870 | 0.084*** |
Primary drug is methamphetamine (vs. all other drug types) | 0.184*** | 1.203 | -0.024(p=.06) |
Used primary drug-30 days before intake (vs. did not use) | -0.712*** | 0.491 | 0.077*** |
Number prior drug treatments (per prior treatment) | 0.008* | 1.008 | 0.005 |
Number arrests - 12 months before intake (per arrest) | -0.040*** | 0.960 | 0.171*** |
Number of arrests – lifetime (per arrest) | -0.003** | 0.997 | 0.008*** |
Treatment-level factors | |||
Treatment setting is residential (vs. outpatient) | 1.059*** | 2.882 | -0.085** |
Number days in treatment (per day) | 0.008*** | 1.008 | -0.001*** |
Interaction effects | |||
Treatment setting is residential × parolee | 0.215** | 1.239 | -0.107 |
Number days in treatment × parolee (per day) | 0.0002 | 1.000 | -0.0006* |
Successful at treatment discharge | na | na | -0.319*** |
p<0.05
p<0.01
p<0.001