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Updated: Feb 11, 2026

Design and Optimization Strategies of a High-Performance Vented Box
Published on: June 9, 2023
Optimizing a community-engaged multi-level group intervention to reduce substance use: an application of the
Liliane Cambraia Windsor1, Ellen Benoit2, Douglas Smith3
1Newark Community Collaborative Board (NCCB), The University of Illinois at Urbana-Champaign, School of Social Work, 1010 W. Nevada St., Room 2113, Urbana, IL, 61801, USA. lwindsor@illinois.edu.
This study optimizes the Community Wise intervention to reduce health disparities in alcohol and drug use among marginalized populations. The goal is to create a cost-effective, scalable treatment for substance use disorders.
Area of Science:
- Public Health
- Health Disparities Research
- Behavioral Health Interventions
Background:
- Alcohol and illicit drug use (AIDU) rates are similar across racial groups, but consequences are higher in distressed African American communities with less treatment access.
- Substance use disorders (SUD) disproportionately affect marginalized populations in high-poverty, high-crime areas.
- Community Wise is an intervention developed with community input to address health inequalities in AIDU.
Purpose of the Study:
- To optimize the Community Wise intervention for effectiveness, efficiency, and scalability.
- To reduce health inequalities related to AIDU in marginalized communities.
- To develop a cost-effective (under $250/person) intervention.
Main Methods:
- A 2x2x2x2 factorial design using the multiphase optimization strategy (MOST) and community-based participatory research (CBPR).
- 528 men with histories of SUD and incarceration in Newark, NJ, were recruited via diverse community strategies.
- Participants were randomized to 16 conditions testing combinations of peer/licensed facilitators, group dialogue, personal goal development, and community organizing, plus a core critical-thinking component.
Main Results:
- The study protocol is described, detailing the optimization of a multi-component intervention.
- Data collection includes baseline and five monthly follow-ups.
- The optimized intervention will be compared to the standard of care in a future trial.
Conclusions:
- This is the first study using CBPR and MOST to optimize a SUD intervention for a marginalized population.
- Expected outcomes include an optimized Community Wise manual and enhanced methods for scalable intervention development.
- The study will advance understanding of critical consciousness theory in addressing health inequalities related to AIDU.
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