Predicting Diversion Program Outcomes Using Drug Testing Information

By Yanwen Wang, Jacquelyn Gilbreath , Lynne Mock

While drug crime-related criminal legal system and victim costs reached $113 billion across the United States in 2007, just $14.6 billion was spent on treating substance use disorder (National Institute on Drug Abuse, 2014). Due, in part, to drug crimes, many U.S. citizens are under correctional supervision, with 1 in 66 adults being on probation or parole in 2020 (Bureau of Justice Statistics, 2021). In Illinois, 67,587 individuals were on probation in 2020 (Administrative Offices of the Illinois Courts, 2021) and 26,426 were on parole (Illinois Department of Corrections, 2020). The supervision population rate of substance use is estimated to be two to three times higher than that of the general population, with nearly half of the people under community supervision having a substance use disorder (PEW Charitable Trusts, 2018). The Illinois Criminal Justice Information Authority’s Adult Redeploy Illinois (ARI) program was established by the Crime Reduction Act of 2009 to provide financial incentives to local jurisdictions for programs that divert justice-involved individuals from state prisons by providing community-based supervision and individualized services. While researchers have evaluated ARI, models used in some jurisdictions (DeLong & Reichert, 2016; Kroner, et al., 2021; Mock et al., 2017; Reichert et al., 2016), research on ARI client outcomes related to the impact of drug testing is limited. The research goals for this study included: • Quantitatively examining all local ARI program drug test data, including tested drugs, drug test frequencies, and drug test results. • Systematically examining how ARI drug testing contributes to the possibility of revocation including other factors such as age, sex, and race. • Proposing recommendations for better program practice to reduce the rate of revocation. This study sought to answer the following research questions: 1. How is drug testing being practiced and observed in ARI in terms of its frequency, pass rates, and tested drugs? 2. Does drug testing have a significant impact on ARI participant outcomes when controlling for demographic variables? The study included 53,159 records of 1,055 individuals collected from October 3, 2011, to June 20, 2019. The median number of drug tests per individual was 19, and the median of the average days between drug tests was 10 days. The most frequently tested drugs also had the highest positive results: heroin (32%), marijuana/THC (30%), cocaine/crack (14%), alcohol (10%), and other opiates (8%). Logistic regression analyses were used to determine what demographic, drug testing, and criminal justice variables predicted program outcomes of completion or revocation. Among the demographic variables, only age predicted program outcomes. Neither sex nor race emerged as significant program outcome predictors. Drug test positivity rates predicted revocation, as well as drug test frequency (number of times an individual was tested) and average number of days between the drug tests. i Overall, the average drug positivity rate was 29% and most tests were passed with no drug found. Most successful clients who were older women at medium to medium-high recidivism risk and whom tested monthly with lower test positivity rates. Those most likely to experience program revocation were younger men who tested several times per month with higher test positivity rates during their program tenure. Graphing the programs by test positivity, number of tests, and frequency of tests suggests that individuals enrolled in some programs had higher test positivity rates (>50%) and were subject to less frequent drug tests than other programs. This study focuses on drug test outcomes, however, it also would be worth exploring data on drug testing rewards, sanctions, and requirements for program completion and their impacts on program outcomes.   

Chicago:  Illinois Criminal Justice Information Authority., 2022. 33p