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Implementation and scale-up of physical activity and behavioural nutrition interventions: an evaluation roadmap

BACKGROUND: Interventions that work must be effectively delivered at scale to achieve population level benefits. Researchers must choose among a vast array of implementation frameworks (> 60) that guide design and evaluation of implementation and scale-up processes. Therefore, we sought to recomm...

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Autores principales: McKay, Heather, Naylor, Patti-Jean, Lau, Erica, Gray, Samantha M., Wolfenden, Luke, Milat, Andrew, Bauman, Adrian, Race, Douglas, Nettlefold, Lindsay, Sims-Gould, Joanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839114/
https://www.ncbi.nlm.nih.gov/pubmed/31699095
http://dx.doi.org/10.1186/s12966-019-0868-4
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author McKay, Heather
Naylor, Patti-Jean
Lau, Erica
Gray, Samantha M.
Wolfenden, Luke
Milat, Andrew
Bauman, Adrian
Race, Douglas
Nettlefold, Lindsay
Sims-Gould, Joanie
author_facet McKay, Heather
Naylor, Patti-Jean
Lau, Erica
Gray, Samantha M.
Wolfenden, Luke
Milat, Andrew
Bauman, Adrian
Race, Douglas
Nettlefold, Lindsay
Sims-Gould, Joanie
author_sort McKay, Heather
collection PubMed
description BACKGROUND: Interventions that work must be effectively delivered at scale to achieve population level benefits. Researchers must choose among a vast array of implementation frameworks (> 60) that guide design and evaluation of implementation and scale-up processes. Therefore, we sought to recommend conceptual frameworks that can be used to design, inform, and evaluate implementation of physical activity (PA) and nutrition interventions at different stages of the program life cycle. We also sought to recommend a minimum data set of implementation outcome and determinant variables (indicators) as well as measures and tools deemed most relevant for PA and nutrition researchers. METHODS: We adopted a five-round modified Delphi methodology. For rounds 1, 2, and 3 we administered online surveys to PA and nutrition implementation scientists to generate a rank order list of most commonly used; i) implementation and scale-up frameworks, ii) implementation indicators, and iii) implementation and scale-up measures and tools. Measures and tools were excluded after round 2 as input from participants was very limited. For rounds 4 and 5, we conducted two in-person meetings with an expert group to create a shortlist of implementation and scale-up frameworks, identify a minimum data set of indicators and to discuss application and relevance of frameworks and indicators to the field of PA and nutrition. RESULTS: The two most commonly referenced implementation frameworks were the Framework for Effective Implementation and the Consolidated Framework for Implementation Research. We provide the 25 most highly ranked implementation indicators reported by those who participated in rounds 1–3 of the survey. From these, the expert group created a recommended minimum data set of implementation determinants (n = 10) and implementation outcomes (n = 5) and reconciled differences in commonly used terms and definitions. CONCLUSIONS: Researchers are confronted with myriad options when conducting implementation and scale-up evaluations. Thus, we identified and prioritized a list of frameworks and a minimum data set of indicators that have potential to improve the quality and consistency of evaluating implementation and scale-up of PA and nutrition interventions. Advancing our science is predicated upon increased efforts to develop a common ‘language’ and adaptable measures and tools.
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spelling pubmed-68391142019-11-12 Implementation and scale-up of physical activity and behavioural nutrition interventions: an evaluation roadmap McKay, Heather Naylor, Patti-Jean Lau, Erica Gray, Samantha M. Wolfenden, Luke Milat, Andrew Bauman, Adrian Race, Douglas Nettlefold, Lindsay Sims-Gould, Joanie Int J Behav Nutr Phys Act Research BACKGROUND: Interventions that work must be effectively delivered at scale to achieve population level benefits. Researchers must choose among a vast array of implementation frameworks (> 60) that guide design and evaluation of implementation and scale-up processes. Therefore, we sought to recommend conceptual frameworks that can be used to design, inform, and evaluate implementation of physical activity (PA) and nutrition interventions at different stages of the program life cycle. We also sought to recommend a minimum data set of implementation outcome and determinant variables (indicators) as well as measures and tools deemed most relevant for PA and nutrition researchers. METHODS: We adopted a five-round modified Delphi methodology. For rounds 1, 2, and 3 we administered online surveys to PA and nutrition implementation scientists to generate a rank order list of most commonly used; i) implementation and scale-up frameworks, ii) implementation indicators, and iii) implementation and scale-up measures and tools. Measures and tools were excluded after round 2 as input from participants was very limited. For rounds 4 and 5, we conducted two in-person meetings with an expert group to create a shortlist of implementation and scale-up frameworks, identify a minimum data set of indicators and to discuss application and relevance of frameworks and indicators to the field of PA and nutrition. RESULTS: The two most commonly referenced implementation frameworks were the Framework for Effective Implementation and the Consolidated Framework for Implementation Research. We provide the 25 most highly ranked implementation indicators reported by those who participated in rounds 1–3 of the survey. From these, the expert group created a recommended minimum data set of implementation determinants (n = 10) and implementation outcomes (n = 5) and reconciled differences in commonly used terms and definitions. CONCLUSIONS: Researchers are confronted with myriad options when conducting implementation and scale-up evaluations. Thus, we identified and prioritized a list of frameworks and a minimum data set of indicators that have potential to improve the quality and consistency of evaluating implementation and scale-up of PA and nutrition interventions. Advancing our science is predicated upon increased efforts to develop a common ‘language’ and adaptable measures and tools. BioMed Central 2019-11-07 /pmc/articles/PMC6839114/ /pubmed/31699095 http://dx.doi.org/10.1186/s12966-019-0868-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
McKay, Heather
Naylor, Patti-Jean
Lau, Erica
Gray, Samantha M.
Wolfenden, Luke
Milat, Andrew
Bauman, Adrian
Race, Douglas
Nettlefold, Lindsay
Sims-Gould, Joanie
Implementation and scale-up of physical activity and behavioural nutrition interventions: an evaluation roadmap
title Implementation and scale-up of physical activity and behavioural nutrition interventions: an evaluation roadmap
title_full Implementation and scale-up of physical activity and behavioural nutrition interventions: an evaluation roadmap
title_fullStr Implementation and scale-up of physical activity and behavioural nutrition interventions: an evaluation roadmap
title_full_unstemmed Implementation and scale-up of physical activity and behavioural nutrition interventions: an evaluation roadmap
title_short Implementation and scale-up of physical activity and behavioural nutrition interventions: an evaluation roadmap
title_sort implementation and scale-up of physical activity and behavioural nutrition interventions: an evaluation roadmap
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839114/
https://www.ncbi.nlm.nih.gov/pubmed/31699095
http://dx.doi.org/10.1186/s12966-019-0868-4
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