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Gender differences in outcomes in an HMO-based substance abuse treatment program
Carla A Green1, Michael R Polen, Frances L Lynch
1Oregon Health & Science University, Department of Public Health & Preventive Medicine, Portland, USA. carla.a.green@kpchr.org
Journal of Addictive Diseases
|May 11, 2004
Summary
Gender-sensitive substance abuse treatment shows different predictors for men and women. Tailoring interventions based on these factors, like mental health for men and social history for women, can improve treatment effectiveness and abstinence rates.
Area of Science:
- Addiction medicine
- Psychiatry
- Gender studies
Background:
- Substance abuse treatment effectiveness can vary by gender.
- Understanding gender-specific predictors is crucial for optimizing interventions.
Purpose of the Study:
- To examine gender differences in treatment outcomes and predictors in a gender-sensitive substance abuse program.
- To identify factors influencing treatment success and abstinence for men and women.
Main Methods:
- Analysis of data from 155 men and 81 women in a gender-sensitive program.
- Bivariate and multivariate analyses to compare outcomes and identify predictors.
- Assessment using the Addiction Severity Index and follow-up for abstinence.
Main Results:
- Initially, women showed greater improvement in social/family and daily functioning, but differences diminished after controlling for baseline characteristics.
- For men, mental health, medical conditions, substance abuse severity, and treatment completion predicted outcomes.
- For women, social, socio-demographic, life-history characteristics, and treatment completion were key predictors.
- Treatment completion significantly increased abstinence rates for both genders (9x for women, 3x for men).
- Specific factors like psychiatric status and perceived lack of control impacted women's abstinence, while living alone affected men's.
Conclusions:
- Treatment outcomes and predictors differ significantly between men and women in substance abuse programs.
- Gender-specific factors influence treatment success and abstinence.
- Clinicians should consider these differential predictors to tailor interventions and enhance treatment efficacy for diverse patient populations.