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First, we examined the drug relapse rates for TC v. Comparison inmates, holding all other<br />

variables constant (Figure 6). TC inmates (36%) were slightly less likely than Comparison inmates<br />

(39%) to relapse to drug use, but this difference was not statistically significant. Overall, positive<br />

drug tests occurred most fiequently for cocaine (58% of those testing positive), cannabinoids<br />

(25%), opiates (21%), and ethanol (16%).<br />

Next, we examined relapse rates for TC and Comparison groups, broken down by<br />

institution (Figure 7). While differences in relapse rates between TC and Comparison groups (0-<br />

3%) did not reach statistical significance, Figure 7 illustrates the significantly higher rates of<br />

relapse (44 - 46%) observed for Cresson and Houtzdale inmates. Significantly lower relapse rates<br />

were observed for Waymart (23%), Huntingdon (30 - 3 l%), and Graterford (32 - 35%).<br />

I<br />

e<br />

Finally, we examined relapse rates for each institution, broken down by post-release<br />

inmate employment status (Figure 8). In addition to the institutional effect illustrated by Figure 7,<br />

Figure 8 shows how full time employment signilicantly lowers the likelihood of relapse. The<br />

lowest rates of relapse were observed for inmates employed full time after completing treatment<br />

at Waymart (19%), Huntingdon (25%), and Graterford (27%).<br />

While the effects of employment on reducing drug relapse are impressive, it is impossible<br />

to label the observed relationship as direct cause and effect, because those who were gainfully<br />

employed may differ in unknown ways (e.g., previous employment history, family support,<br />

community ties) fi-om those who were not. More detailed information was not available in parole<br />

data, although such information may have influenced the risk supervision grade assigned by<br />

PBPP. We entered risk supervision grade into logistic regressions with the other variables, but it<br />

failed to reach statistical significance or improve the goodness of fit. Entering numerous<br />

combinations of other control variables (e.g., prior and current offense severity, level of need for<br />

116<br />

This document is a research report submitted to the U.S. Department of <strong>Justice</strong>. This report has not<br />

been published by the Department. Opinions or points of view expressed are those of the author(s)<br />

and do not necessarily reflect the official position or policies of the U.S. Department of <strong>Justice</strong>.

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