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Evaluating Community Readiness to Implement Environmental and Policy-Based Alcohol Abuse Prevention Strategies in
Jason Paltzer1, Penny Black1, D Paul Moberg1
1Population Health Institute, University of Wisconsin School of Medicine and Public Health, 5901 Research Park Blvd. Madison, WI 53719-1244.
Background:
Matching evidence-based alcohol prevention strategies with a community's readiness to support those strategies is the basis for the Tri-Ethnic Community Readiness Model (CRM). The purpose of this evaluation was to assess the association of a community's readiness to address alcohol abuse in their community with the implementation of environmental and policy-based strategies.
Methods:
Twenty-one substance abuse prevention coalitions in Wisconsin participated in a pre-post intervention group-only evaluation using the CRM. As part of a Substance Abuse and Mental Health Services Administration (SAMHSA) grant, all grantees were obligated by the Wisconsin Department of Health Services to implement environmental and policy-based strategies focused on one of three priority areas: young adult binge drinking, underage drinking, and alcohol-related motor-vehicle injuries and fatalities.
Results:
At baseline, all communities (n=21) scored at or below a Stage 4 (on a scale of 1-9) readiness level ("preparedness"). The mean change in community readiness over the three-year period (2009-2011) was significant, but was less than one complete CRM stage (0.77, p=<0.001; 95% CI: 0.49, 1.05).
Conclusion:
These findings suggest that implementation of environmental and policy-based strategies may improve a community's progression in perceived readiness to address alcohol abuse regardless of the community's baseline level of readiness to address alcohol abuse.
Recommendation:
An assessment specific for measuring community readiness for policy-related strategies should be developed. The assessment would include community-level factors (e.g. community climate) for implementing policy-related prevention strategies, and not assume a linear readiness model.
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