Chapter 8: Data Mining Techniques Applied to Outcome Analysis and Validation for the Futures Drug and Alcohol Rehabilitation Center

Alcohol and substance abuse rehabilitation centers must face the challenge of validating outcomes to meet the burden of evidence for insurance companies. In particular, treatment success rates have a direct impact on a patient’s ability to receive insurance coverage for treatment programs. In this chapter we specifically examine Futures of Palm Beach, a rehabilitation center. Data collected include admissions, satisfaction surveys, postdischarge surveys, medical histories, and demographics. Data mining and statistical techniques including clustering, partitioning, ANOVA (analysis of variance), stepwise re gression, and stepwise logistic regression are applied to the data to determine statistically significant drivers of treatment success.