Dept. of Public Health and Preventive Medicine
Oregon Health & Science University
Evaluate the effects of process improvement methods on wait-time across each study period (baseline, intervention, sustain) for patients entering substance abuse treatment programs participating in the NIATx 200 study through the use of quantile and least squares regression. Determine whether more intensive process improvement methods result in greater reductions in wait-time for patients entering substance abuse treatment programs participating in the NIATx 200 study.
Data derived from the 201 organizations in five states participating in NIATx 200. Process improvement methods involve interest circle calls, coaching, learning sessions and a combination of all three. The primary analysis is the development of a nonlinear quantile regression model for process improvement method evaluation. Secondary analysis consists of the development of a nonlinear least squares regression model.
Among all groups, the coaching intervention (-56.8%) resulted in the greatest overall predicted reduction in wait-time for the duration of the study in the 50% quantile. The interest circle calls (-33.21%) and learning sessions (-14.29%) groups had the greatest wait-time reductions among all groups in the 90% quantile between the intervention and sustain periods of the study.
High cost/complexity process improvement methods do not necessarily result in greater reductions in wait-time for substance abuse treatment centers. Aside from an unusual baseline period, the combination intervention was generally the least effective at reducing wait-time. By contrast, the interest circle calls and learning sessions interventions were effective at reducing wait-time during the intervention and sustain periods. The coaching intervention consistently resulted in wait-time increases during the intervention period, but resulted in significant wait-time reduction during the baseline and sustain periods.
School of Medicine
Gibbs, Ian Andrew, "Evaluating process improvement effects on wait-time in substance abuse treatment programs via nonlinear quantile regression" (2014). Scholar Archive. 3510.