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 optimization...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2022-10-01
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| Series: | Implementation Research and Practice |
| Online Access: | https://doi.org/10.1177/26334895221131052 |
| _version_ | 1797986074208763904 |
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| author | Karey L. O’Hara Lindsey M. Knowles Kate Guastaferro Aaron R. Lyon |
| author_facet | Karey L. O’Hara Lindsey M. Knowles Kate Guastaferro Aaron R. Lyon |
| author_sort | Karey L. O’Hara |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T07:28:18Z |
| format | Article |
| id | doaj.art-0b963ebb899247d48cfff334d68b1039 |
| institution | Directory Open Access Journal |
| issn | 2633-4895 |
| language | English |
| last_indexed | 2024-04-11T07:28:18Z |
| publishDate | 2022-10-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Implementation Research and Practice |
| spelling | doaj.art-0b963ebb899247d48cfff334d68b10392022-12-22T04:37:01ZengSAGE PublishingImplementation Research and Practice2633-48952022-10-01310.1177/26334895221131052Human-centered design methods to achieve preparation phase goals in the multiphase optimization strategy frameworkKarey L. O’Hara0Lindsey M. Knowles1Kate Guastaferro2Aaron R. Lyon3 , Tempe, AZ, USA , Seattle, WA, USA The Pennsylvania State University, University Park, PA, USA , Seattle, WA, USABackground 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.https://doi.org/10.1177/26334895221131052 |
| spellingShingle | Karey L. O’Hara Lindsey M. Knowles Kate Guastaferro Aaron R. Lyon Human-centered design methods to achieve preparation phase goals in the multiphase optimization strategy framework Implementation Research and Practice |
| 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 |
| url | https://doi.org/10.1177/26334895221131052 |
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