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Related Experiment Video

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The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Putting the pieces together: an integrated model of program implementation.

Cady Berkel¹, Anne M Mauricio, Erin Schoenfelder

¹Prevention Research Center, Arizona State University, Phoenix, AZ, USA. cady.berkel@asu.edu

Prevention Science : the Official Journal of the Society for Prevention Research

|October 5, 2010

Summary

Program implementation variability impacts prevention program success. This study proposes a theoretical model linking facilitator and participant behaviors to program outcomes, guiding future research on effective implementation strategies.

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Published on: October 1, 2019

Area of Science:

Public Health
Program Implementation Science
Behavioral Science

Background:

Variability in prevention program implementation is linked to inconsistent outcomes.
Existing research often examines only one dimension of implementation, lacking a guiding theoretical framework.
A comprehensive model is needed to understand how implementation dimensions influence program effectiveness.

Purpose of the Study:

To propose a theoretical model for understanding the relationship between implementation dimensions and prevention program outcomes.
To identify key dimensions of implementation, including facilitator behaviors (fidelity, quality, adaptation) and participant behaviors (responsiveness).
To guide future research on optimizing prevention program implementation.

Main Methods:

Conceptualizing implementation as a multidimensional construct.
Focusing on four key dimensions: fidelity, quality of delivery, adaptation, and responsiveness.
Presenting evidence for these dimensions as predictors of program outcomes.
Proposing a theoretical model linking implementation dimensions to participant outcomes.

Main Results:

Facilitator behaviors (fidelity, quality, adaptation) and participant behaviors (responsiveness) are proposed as key predictors of program outcomes.
A theoretical model is presented illustrating how these dimensions influence participant outcomes.
Evidence supports the proposed dimensions' role in program success.

Conclusions:

A theoretical framework is established to guide research on the multifaceted nature of program implementation.
Understanding facilitator and participant behaviors is crucial for improving prevention program outcomes.
Recommendations are provided for future implementation research to enhance program effectiveness.