TY - JOUR
T1 - Characterizing implementation strategies using a systems engineering survey and interview tool
T2 - A comparison across 10 prevention programs for drug abuse and HIV sexual risk behavior
AU - Czaja, Sara J.
AU - Valente, Thomas W.
AU - Nair, Sankaran N.
AU - Villamar, Juan A.
AU - Brown, C. Hendricks
N1 - Funding Information:
We acknowledge support from the National Institute on Drug Abuse (NIDA) for this work through the Center for Prevention Implementation Methodology for Drug Abuse and Sexual Risk Behavior, P30DA027828. The content of this paper is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies. We thank the PIs and program staff of the model programs for their time and effort in being interviewed for this study. We also thank Shih Hua Fu for her assistance with the data analyses.
Publisher Copyright:
© 2016 Czaja et al.
PY - 2016/5/17
Y1 - 2016/5/17
N2 - Background: Although many behavioral interventions have proven to be efficacious, new methodologies are required beyond efficacy trials to understand how to adopt, implement with fidelity, and sustain behavioral interventions in community settings. In this paper, we present a new approach, based on systems engineering concepts and methods, for characterizing implementation strategies that are used to deliver evidence-based behavioral interventions in health and social service settings. We demonstrate the use of this approach with implementation strategies, used or being used for broader dissemination of 10 evidence-based prevention program projects focused on the prevention of drug or HIV sex risk behaviors. Results: The results indicate that there are wide variations in intervention approaches and that there are challenges in program implementation including maintaining program fidelity, serving community needs, and adequate resources. The results also indicate that implementation requires a committed partnership between the program developers, implementation researchers, and community partners. In addition, there is a need for adaptability within programs to meet community needs, resources, and priorities while maintaining program fidelity. Conclusions: Our methodological approach enabled us to highlight challenges associated with the community implementation of health risk prevention interventions. We also demonstrate how comprehensive descriptions of interventions facilitate understanding of the requirements of program implementation and decisions about the feasibility of implementing a program in community settings.
AB - Background: Although many behavioral interventions have proven to be efficacious, new methodologies are required beyond efficacy trials to understand how to adopt, implement with fidelity, and sustain behavioral interventions in community settings. In this paper, we present a new approach, based on systems engineering concepts and methods, for characterizing implementation strategies that are used to deliver evidence-based behavioral interventions in health and social service settings. We demonstrate the use of this approach with implementation strategies, used or being used for broader dissemination of 10 evidence-based prevention program projects focused on the prevention of drug or HIV sex risk behaviors. Results: The results indicate that there are wide variations in intervention approaches and that there are challenges in program implementation including maintaining program fidelity, serving community needs, and adequate resources. The results also indicate that implementation requires a committed partnership between the program developers, implementation researchers, and community partners. In addition, there is a need for adaptability within programs to meet community needs, resources, and priorities while maintaining program fidelity. Conclusions: Our methodological approach enabled us to highlight challenges associated with the community implementation of health risk prevention interventions. We also demonstrate how comprehensive descriptions of interventions facilitate understanding of the requirements of program implementation and decisions about the feasibility of implementing a program in community settings.
KW - Behavioral interventions
KW - Implementation science
KW - Systems engineering
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U2 - 10.1186/s13012-016-0433-3
DO - 10.1186/s13012-016-0433-3
M3 - Article
C2 - 27184963
AN - SCOPUS:84977539937
SN - 1748-5908
VL - 11
JO - Implementation Science
JF - Implementation Science
IS - 1
M1 - 70
ER -