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Evaluating the implementation of the SWITCH® school wellness intervention and capacity-building process through multiple methods
BACKGROUND: School wellness programming is important for promoting healthy lifestyles and academic achievement in youth; however, research is needed on methods that can help schools implement and sustain such programs on their own. The purpose of this study was to investigate factors within and outs...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733251/ https://www.ncbi.nlm.nih.gov/pubmed/33308237 http://dx.doi.org/10.1186/s12966-020-01070-y |
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author | McLoughlin, Gabriella M. Candal, Priscila Vazou, Spyridoula Lee, Joey A. Dzewaltowski, David A. Rosenkranz, Richard R. Lanningham-Foster, Lorraine Gentile, Douglas A. Liechty, Laura Chen, Senlin Welk, Gregory J. |
author_facet | McLoughlin, Gabriella M. Candal, Priscila Vazou, Spyridoula Lee, Joey A. Dzewaltowski, David A. Rosenkranz, Richard R. Lanningham-Foster, Lorraine Gentile, Douglas A. Liechty, Laura Chen, Senlin Welk, Gregory J. |
author_sort | McLoughlin, Gabriella M. |
collection | PubMed |
description | BACKGROUND: School wellness programming is important for promoting healthy lifestyles and academic achievement in youth; however, research is needed on methods that can help schools implement and sustain such programs on their own. The purpose of this study was to investigate factors within and outside the school environment that influenced school capacity for implementation and potential sustainability of wellness programming. METHODS: As part of the School Wellness Integration Targeting Child Health (SWITCH®) intervention, elementary school wellness teams (N = 30) were guided through a capacity-building process focused on promoting the adoption of healthy lifestyle behaviors in students. Data on implementation were collected through three standardized surveys and interviews (pre-mid-post) and a post-implementation interview. Indicators of organizational capacity were assessed using the School Wellness Readiness Assessment (SWRA). Paired t-tests were run to assess changes in implementation (classroom, physical education, and lunchroom settings), capacity, and stakeholder engagement over time. One-way analysis of variance (ANOVA) tests were run to examine how implementation of best practices (low, moderate, high) explained differences in capacity gains. Qualitative data were analyzed through inductive and deductive analysis, following the Consolidated Framework for Implementation Research (CFIR). RESULTS: Paired t-tests showed non-significant increases in school and setting-specific capacity and implementation of SWITCH best practices over time, in addition to a consistent level of engagement from key stakeholders. ANOVA results revealed non-significant associations between implementation group and gains in school capacity (F [2, 24] = 1.63; p = .21), class capacity (F [2, 24]=0.20 p = .82), lunchroom capacity (F [2, 24]=0.29; p = .78), and physical education (F [2, 24]=1.45; p = .25). Qualitative data demonstrated that factors within the outer setting (i.e., engaging community partners) facilitated programming. Inner-setting factors (i.e., relationships with administration and staff) influenced implementation. Implementation process themes (e.g., planning, adaptation of resources to meet school capacity/needs, and engaging students as leaders) were cited as key facilitators. Schools discussed factors affecting sustainability, such as school culture and knowledge of school wellness policy. CONCLUSIONS: The results from this implementation study document the importance of allowing schools to adapt programming to meet their local needs, and highlight the strengths of measuring multiple implementation outcomes. Increased support is needed for schools regarding the formation and improvement of wellness policies as a means to enhance sustainability over time. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-020-01070-y. |
format | Online Article Text |
id | pubmed-7733251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77332512020-12-14 Evaluating the implementation of the SWITCH® school wellness intervention and capacity-building process through multiple methods McLoughlin, Gabriella M. Candal, Priscila Vazou, Spyridoula Lee, Joey A. Dzewaltowski, David A. Rosenkranz, Richard R. Lanningham-Foster, Lorraine Gentile, Douglas A. Liechty, Laura Chen, Senlin Welk, Gregory J. Int J Behav Nutr Phys Act Research BACKGROUND: School wellness programming is important for promoting healthy lifestyles and academic achievement in youth; however, research is needed on methods that can help schools implement and sustain such programs on their own. The purpose of this study was to investigate factors within and outside the school environment that influenced school capacity for implementation and potential sustainability of wellness programming. METHODS: As part of the School Wellness Integration Targeting Child Health (SWITCH®) intervention, elementary school wellness teams (N = 30) were guided through a capacity-building process focused on promoting the adoption of healthy lifestyle behaviors in students. Data on implementation were collected through three standardized surveys and interviews (pre-mid-post) and a post-implementation interview. Indicators of organizational capacity were assessed using the School Wellness Readiness Assessment (SWRA). Paired t-tests were run to assess changes in implementation (classroom, physical education, and lunchroom settings), capacity, and stakeholder engagement over time. One-way analysis of variance (ANOVA) tests were run to examine how implementation of best practices (low, moderate, high) explained differences in capacity gains. Qualitative data were analyzed through inductive and deductive analysis, following the Consolidated Framework for Implementation Research (CFIR). RESULTS: Paired t-tests showed non-significant increases in school and setting-specific capacity and implementation of SWITCH best practices over time, in addition to a consistent level of engagement from key stakeholders. ANOVA results revealed non-significant associations between implementation group and gains in school capacity (F [2, 24] = 1.63; p = .21), class capacity (F [2, 24]=0.20 p = .82), lunchroom capacity (F [2, 24]=0.29; p = .78), and physical education (F [2, 24]=1.45; p = .25). Qualitative data demonstrated that factors within the outer setting (i.e., engaging community partners) facilitated programming. Inner-setting factors (i.e., relationships with administration and staff) influenced implementation. Implementation process themes (e.g., planning, adaptation of resources to meet school capacity/needs, and engaging students as leaders) were cited as key facilitators. Schools discussed factors affecting sustainability, such as school culture and knowledge of school wellness policy. CONCLUSIONS: The results from this implementation study document the importance of allowing schools to adapt programming to meet their local needs, and highlight the strengths of measuring multiple implementation outcomes. Increased support is needed for schools regarding the formation and improvement of wellness policies as a means to enhance sustainability over time. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-020-01070-y. BioMed Central 2020-12-11 /pmc/articles/PMC7733251/ /pubmed/33308237 http://dx.doi.org/10.1186/s12966-020-01070-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research McLoughlin, Gabriella M. Candal, Priscila Vazou, Spyridoula Lee, Joey A. Dzewaltowski, David A. Rosenkranz, Richard R. Lanningham-Foster, Lorraine Gentile, Douglas A. Liechty, Laura Chen, Senlin Welk, Gregory J. Evaluating the implementation of the SWITCH® school wellness intervention and capacity-building process through multiple methods |
title | Evaluating the implementation of the SWITCH® school wellness intervention and capacity-building process through multiple methods |
title_full | Evaluating the implementation of the SWITCH® school wellness intervention and capacity-building process through multiple methods |
title_fullStr | Evaluating the implementation of the SWITCH® school wellness intervention and capacity-building process through multiple methods |
title_full_unstemmed | Evaluating the implementation of the SWITCH® school wellness intervention and capacity-building process through multiple methods |
title_short | Evaluating the implementation of the SWITCH® school wellness intervention and capacity-building process through multiple methods |
title_sort | evaluating the implementation of the switch® school wellness intervention and capacity-building process through multiple methods |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733251/ https://www.ncbi.nlm.nih.gov/pubmed/33308237 http://dx.doi.org/10.1186/s12966-020-01070-y |
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