This website of the Pacific Institute for Research and Evaluation presents a series of Logic Models, developed by PIRE staff, for specific social problems involving alcohol, tobacco, or other drugs. These Logic Models are a work in progress, documenting the best available research evidence as well as identifying gaps or areas in our understanding that need further study or replication. The Logic Models represent a public health approach to prevention and emphasize variables, relationships, and prevention effects at the population or the community-wide level. Logic Models are used to clearly and concisely show the causal mechanisms through which prevention interventions have the potential to reduce specific negative outcomes.

A Logic Model is defined here as a means to describe the flow or interconnections between key variables which together contribute to a specific ATOD problem, for example, underage drinking or alcohol-involved traffic crashes, as well as a documentation of the best available research evidence.  Thus each Logic Model presented here is a combination of (a) a causal model (shown as a diagram) identifying key intermediate variables which research has shown contributes to the problem, (b) a documentation of this research evidence, and (c) a summary of prevention interventions which have demonstrated effects on one or more variable(s) in the model including the specific ATOD problem.
 
Within the causal model, most variables included have sufficient research evidence of association with the specific problem to be shown in the diagram with a least one solid line.  The solid lines within the model also show relative strength of evidence of tested prevention strategies in reducing the specific ATOD problem at the population level or other key intermediate variables. The darker the line the stronger the evidence of effect on population level outcomes. A few of the variables have a theoretical rationale for inclusion but currently insufficient empirical research exists to confirm and are shown with dotted lines. 

For the prevention practitioner:  Logic Models help to explicate community problems and demonstrate points for intervention.  These Logic Models can be used to plan prevention strategies which are most likely to be effective based upon best available research evidence. These Logic Models can be used to identify possible points of intervention for prevention of the community problem and then select the particular intervention components or activities that have sufficient strength to affect key intermediate variables.

For the prevention researcher: Any Logic Model is only as good as the accumulative scientific evidence on which it is based. Any model is open to modification as new evidence is presented. The Logic Models here are a work in progress and no Logic Model (including those presented here) are ever complete or final.  The goal of these Logic Models is also to document the best available research evidence as well as identify gaps or areas in our understanding which need further study or replication in future research. 

Logic Models presented here are for the prevention of:

-Alcohol-Related Motor-Vehicle Crashes

-Underage Drinking

-Methamphetamine Use and Associated Harm

-Alcohol-Involved Situational Violence (under development)

These documents are presented freely for the use of prevention researchers and prevention practitioners and can be downloaded and reprinted as desired.  PIRE respectively requests that any uses or distributions of these documents in part or in whole give credit to the Pacific Institute for Research and Evaluation, Calverton, MD.

For comments or questions, please contact:
Karen Friend, PhD
Pacific Institute for Research and Evaluation
Pawtucket, Rhode Island
kfriend@pire.org
Phone: 401-729-7505 ext 2103

Logic Models

Alcohol-Related Motor Vehicle Crashes Casual Model Documentation
Underage Drinking Logic Model Documentation
Methamphetamine-Associated Harm Causal Model Documentation
Alcohol-Involved Situational Violence (under development)