Back to Annual Meeting

Back to Annual Meeting

APHA Scientific Session and Event Listing

James R. Ciesla, PhD, School of Allied Health Professions, Northern Illinois University, Public Health and Health Education Programs, DeKalb, IL 60115, 815-753-3409, jciesla@niu.edu

This research uses time-to-event analysis via Cox regression to analyze the relapse pattern of adolescents treated for psychoactive substance use disorder (PSUD). The time-to-event analysis using Cox regression is a two step process involving the identification of factors associated with relapse and then using those factors in the time-to-event analysis. The purpose of this paper is to introduce and demonstrate time-to-event analysis as a preferred statistical analytical tool for evaluating the outcomes of care for this treatment population. The subjects were 509 adolescents discharged from ASAM-defined Level 1.A primary inpatient treatment from 2001-2005. The results indicated that race, gender, participation in support groups, school attendance, supportive friendships, and cannabis dependence are significant determinants of relapse. Hazard ratios for each significant variable are given in the context of a predictive model. Robustness and relevance of the model and Cox regression analysis in general are discussed in the context of the treatment process.

Learning Objectives: At the conclusion of the session, the learner will be able to

• Apply the findings from time-to-event analysis of relapse to treatment programs.
• Recognize the important differences between time-to-event analysis of relapse and other measures of relapse.
• Evaluate the strengths and weaknesses of time-to-event analysis as applied to post treatment relapse.

Keywords: Drug Abuse Treatment, Outcomes Research

Presenting author's disclosure statement:

Not Answered