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Predictors of retention in methadone programs: a signal detection analysis
Steven W Villafranca1, John D McKellar, Jodie A Trafton
1Center for Health Care Evaluation, Veterans Affairs Palo Alto Health Care System & Stanford University School of Medicine, CA, USA. Steven.Villafranca@va.gov
Drug and Alcohol Dependence
|December 31, 2005
Summary
Opioid Agonist Therapy (OAT) retention improves patient outcomes. Higher methadone doses and treatment satisfaction significantly predict longer OAT engagement, crucial for effective opioid dependence management.
Area of Science:
- Addiction Medicine
- Psychiatry
- Public Health
Background:
- Opioid Agonist Therapy (OAT) is vital for managing opioid dependence.
- Retention in OAT correlates with reduced substance use, HIV risk, and criminal activity.
- Identifying predictors of OAT retention is key to enhancing treatment effectiveness.
Purpose of the Study:
- To identify patient characteristics and provider-related variables predicting 1-year retention in Opioid Agonist Therapy.
- To determine optimal cut-offs for significant predictors using signal detection analysis.
Main Methods:
- Analysis of data from 258 veterans in 8 outpatient methadone/l-alpha-acetylmethadol (LAAM) programs.
- Utilized signal detection analysis to identify predictive variables for 1-year retention.
- Examined both patient and provider-related factors.
Main Results:
- Provider-related variables significantly predicted retention in OAT.
- Higher methadone dosage (≥59 mg/day) was a strong predictor of 1-year retention.
- Greater patient treatment satisfaction also strongly predicted 1-year retention.
Conclusions:
- Provider-related factors are crucial for maintaining patients in Opioid Agonist Therapy.
- Optimizing methadone dosage and improving patient satisfaction may enhance OAT retention rates.
- Findings support interventions focused on provider-patient dynamics to improve long-term OAT outcomes.
