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Health Law and Policy

Mental Health Law & Policy Faculty Publications

Substance abuse

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Full-Text Articles in Law

The Moderating Relationship Of Comorbid Psychopathology And Treatment Outcome For Young Adult Offenders In Drug Court, Patrick Mcgonigal, Kathleen A. Moore, Matthew Scott Young Jan 2018

The Moderating Relationship Of Comorbid Psychopathology And Treatment Outcome For Young Adult Offenders In Drug Court, Patrick Mcgonigal, Kathleen A. Moore, Matthew Scott Young

Mental Health Law & Policy Faculty Publications

Title: The moderating relationship of comorbid psychopathology and treatment outcome for young adult offenders in drug court.

Background: The drug court system is an alternative to incarceration that provides offenders with non-violent, substance motivated crimes with an opportunity to dismiss their charges and undergo a rigorous substance abuse treatment program. It is unknown whether drug court is effective for young adult clients and the role of co-occurring psychopathology within this context.

Methods: This study evaluated the overall effectiveness of a drug court system applied to young adult offenders ages 18-26, and additionally explored the moderating relationship of psychiatric symptoms on …


A Clustering Method To Identify Who Benefits Most From The Treatment Group In Clinical Trials, Beom S. Lee, Pranab K. Sen, Nan Park, Roger A. Boothroyd, Roger H. Peters, David A. Chiriboga Jan 2014

A Clustering Method To Identify Who Benefits Most From The Treatment Group In Clinical Trials, Beom S. Lee, Pranab K. Sen, Nan Park, Roger A. Boothroyd, Roger H. Peters, David A. Chiriboga

Mental Health Law & Policy Faculty Publications

In randomized controlled trials (RCTs), the most compelling need is to determine whether the treatment condition was more effective than control. However, it is generally recognized that not all participants in the treatment group of most clinical trials benefit equally. While subgroup analyses are often used to compare treatment effectiveness across pre-determined subgroups categorized by patient characteristics, methods to empirically identify naturally occurring clusters of persons who benefit most from the treatment group have rarely been implemented. This article provides a modeling framework to accomplish this important task. Utilizing information about individuals from the treatment group who had poor outcomes, …