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Human-centered design methods to achieve preparation phase goals in the multiphase optimization strategy framework

BACKGROUND: The public health impact of behavioral and biobehavioral interventions to prevent and treat mental health and substance use problems hinges on developing methods to strategically maximize their effectiveness, affordability, scalability, and efficiency. METHODS: The multiphase optimizatio...

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Autores principales: O’Hara, Karey L., Knowles, Lindsey M., Guastaferro, Kate, Lyon, Aaron R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924242/
https://www.ncbi.nlm.nih.gov/pubmed/37091076
http://dx.doi.org/10.1177/26334895221131052
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author O’Hara, Karey L.
Knowles, Lindsey M.
Guastaferro, Kate
Lyon, Aaron R.
author_facet O’Hara, Karey L.
Knowles, Lindsey M.
Guastaferro, Kate
Lyon, Aaron R.
author_sort O’Hara, Karey L.
collection PubMed
description BACKGROUND: The public health impact of behavioral and biobehavioral interventions to prevent and treat mental health and substance use problems hinges on developing methods to strategically maximize their effectiveness, affordability, scalability, and efficiency. METHODS: The multiphase optimization strategy (MOST) is an innovative, principled framework that guides the development of multicomponent interventions. Each phase of MOST (Preparation, Optimization, Evaluation) has explicit goals and a range of appropriate research methods to achieve them. Methods for attaining Optimization and Evaluation phase goals are well-developed. However, methods used in the Preparation phase are often highly researcher-specific, and concrete ways to achieve Preparation phase goals are a priority area for further development. RESULTS: We propose that the discover, design, build, and test (DDBT) framework provides a theory-driven and methods-rich roadmap for achieving the goals of the Preparation phase of MOST, including specifying the conceptual model, identifying and testing candidate intervention components, and defining the optimization objective. The DDBT framework capitalizes on strategies from the field of human-centered design and implementation science to drive its data collection methods. CONCLUSIONS: MOST and DDBT share many conceptual features, including an explicit focus on implementation determinants, being iterative and flexible, and designing interventions for the greatest public health impact. The proposed synthesized DDBT/MOST approach integrates DDBT into the Preparation phase of MOST thereby providing a framework for rigorous and efficient intervention development research to bolster the success of intervention optimization. PLAIN LANGUAGE SUMMARY: 1. What is already known about the topic? Optimizing behavioral interventions to balance effectiveness with affordability, scalability, and efficiency requires a significant investment in intervention development. 2. What does this paper add? This paper provides a structured approach to integrating human-centered design principles into the Preparation phase of the multiphase optimization strategy (MOST). 3. What are the implications for practice, research, or policy? The proposed synthesized model provides a framework for rigorous and efficient intervention development research in the Preparation phase of MOST that will ensure the success of intervention optimization and contribute to improving public health impact of mental health and substance use interventions.
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spelling pubmed-99242422023-04-20 Human-centered design methods to achieve preparation phase goals in the multiphase optimization strategy framework O’Hara, Karey L. Knowles, Lindsey M. Guastaferro, Kate Lyon, Aaron R. Implement Res Pract Intervention Optimization in Implementation Research and Practice BACKGROUND: The public health impact of behavioral and biobehavioral interventions to prevent and treat mental health and substance use problems hinges on developing methods to strategically maximize their effectiveness, affordability, scalability, and efficiency. METHODS: The multiphase optimization strategy (MOST) is an innovative, principled framework that guides the development of multicomponent interventions. Each phase of MOST (Preparation, Optimization, Evaluation) has explicit goals and a range of appropriate research methods to achieve them. Methods for attaining Optimization and Evaluation phase goals are well-developed. However, methods used in the Preparation phase are often highly researcher-specific, and concrete ways to achieve Preparation phase goals are a priority area for further development. RESULTS: We propose that the discover, design, build, and test (DDBT) framework provides a theory-driven and methods-rich roadmap for achieving the goals of the Preparation phase of MOST, including specifying the conceptual model, identifying and testing candidate intervention components, and defining the optimization objective. The DDBT framework capitalizes on strategies from the field of human-centered design and implementation science to drive its data collection methods. CONCLUSIONS: MOST and DDBT share many conceptual features, including an explicit focus on implementation determinants, being iterative and flexible, and designing interventions for the greatest public health impact. The proposed synthesized DDBT/MOST approach integrates DDBT into the Preparation phase of MOST thereby providing a framework for rigorous and efficient intervention development research to bolster the success of intervention optimization. PLAIN LANGUAGE SUMMARY: 1. What is already known about the topic? Optimizing behavioral interventions to balance effectiveness with affordability, scalability, and efficiency requires a significant investment in intervention development. 2. What does this paper add? This paper provides a structured approach to integrating human-centered design principles into the Preparation phase of the multiphase optimization strategy (MOST). 3. What are the implications for practice, research, or policy? The proposed synthesized model provides a framework for rigorous and efficient intervention development research in the Preparation phase of MOST that will ensure the success of intervention optimization and contribute to improving public health impact of mental health and substance use interventions. SAGE Publications 2022-10-22 /pmc/articles/PMC9924242/ /pubmed/37091076 http://dx.doi.org/10.1177/26334895221131052 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Intervention Optimization in Implementation Research and Practice
O’Hara, Karey L.
Knowles, Lindsey M.
Guastaferro, Kate
Lyon, Aaron R.
Human-centered design methods to achieve preparation phase goals in the multiphase optimization strategy framework
title Human-centered design methods to achieve preparation phase goals in the multiphase optimization strategy framework
title_full Human-centered design methods to achieve preparation phase goals in the multiphase optimization strategy framework
title_fullStr Human-centered design methods to achieve preparation phase goals in the multiphase optimization strategy framework
title_full_unstemmed Human-centered design methods to achieve preparation phase goals in the multiphase optimization strategy framework
title_short Human-centered design methods to achieve preparation phase goals in the multiphase optimization strategy framework
title_sort human-centered design methods to achieve preparation phase goals in the multiphase optimization strategy framework
topic Intervention Optimization in Implementation Research and Practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924242/
https://www.ncbi.nlm.nih.gov/pubmed/37091076
http://dx.doi.org/10.1177/26334895221131052
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