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Examination of the Responsiveness of the Great Recess Framework—Observational Tool

The purpose of this study was to test the responsiveness of the great recess framework-observational tool (GRF-OT) to detect changes in recess quality. GRF-OT data were collected at two time points (fall 2017 and spring 2018) in four geographically distinct regions of the United States. Following re...

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Detalles Bibliográficos
Autores principales: Massey, William V., Stellino, Megan B., Hayden, Laura, Thalken, Janelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981416/
https://www.ncbi.nlm.nih.gov/pubmed/31905598
http://dx.doi.org/10.3390/ijerph17010225
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author Massey, William V.
Stellino, Megan B.
Hayden, Laura
Thalken, Janelle
author_facet Massey, William V.
Stellino, Megan B.
Hayden, Laura
Thalken, Janelle
author_sort Massey, William V.
collection PubMed
description The purpose of this study was to test the responsiveness of the great recess framework-observational tool (GRF-OT) to detect changes in recess quality. GRF-OT data were collected at two time points (fall 2017 and spring 2018) in four geographically distinct regions of the United States. Following recommendations by Massey et al. (2018), a three-day average of recess observations was used for each data point. Data analysis was conducted on nine schools contracted to receive services from Playworks, a national non-profit organization specializing in recess implementation, for the first time; eight schools with returning Playworks services (i.e., multiple years of service) and five schools with no intervention services. Analysis of the change in GRF-OT scores from fall to spring revealed a large effect for first-year intervention schools (g = 1.19; 95% CI 0.13, 2.25) and multi-year intervention schools (g = 0.788; 95% CI −0.204, 1.78). GRF-OT scores decreased for schools not receiving an intervention (g = −0.562; 95% CI, −2.20, 1.07). New intervention schools (odds ratio= 21.59; 95% CI 4.27, 109.15) and multi-year intervention schools (odds ratio= 7.34; 95% CI 1.50, 35.97) were more likely to meet the threshold for meaningful positive change than non-intervention schools. The results of the current study suggest that GRF-OT is a responsive tool that researchers, practitioners, and policy makers can use to measure and assess changes in the quality of the recess environment.
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spelling pubmed-69814162020-02-07 Examination of the Responsiveness of the Great Recess Framework—Observational Tool Massey, William V. Stellino, Megan B. Hayden, Laura Thalken, Janelle Int J Environ Res Public Health Article The purpose of this study was to test the responsiveness of the great recess framework-observational tool (GRF-OT) to detect changes in recess quality. GRF-OT data were collected at two time points (fall 2017 and spring 2018) in four geographically distinct regions of the United States. Following recommendations by Massey et al. (2018), a three-day average of recess observations was used for each data point. Data analysis was conducted on nine schools contracted to receive services from Playworks, a national non-profit organization specializing in recess implementation, for the first time; eight schools with returning Playworks services (i.e., multiple years of service) and five schools with no intervention services. Analysis of the change in GRF-OT scores from fall to spring revealed a large effect for first-year intervention schools (g = 1.19; 95% CI 0.13, 2.25) and multi-year intervention schools (g = 0.788; 95% CI −0.204, 1.78). GRF-OT scores decreased for schools not receiving an intervention (g = −0.562; 95% CI, −2.20, 1.07). New intervention schools (odds ratio= 21.59; 95% CI 4.27, 109.15) and multi-year intervention schools (odds ratio= 7.34; 95% CI 1.50, 35.97) were more likely to meet the threshold for meaningful positive change than non-intervention schools. The results of the current study suggest that GRF-OT is a responsive tool that researchers, practitioners, and policy makers can use to measure and assess changes in the quality of the recess environment. MDPI 2019-12-28 2020-01 /pmc/articles/PMC6981416/ /pubmed/31905598 http://dx.doi.org/10.3390/ijerph17010225 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Massey, William V.
Stellino, Megan B.
Hayden, Laura
Thalken, Janelle
Examination of the Responsiveness of the Great Recess Framework—Observational Tool
title Examination of the Responsiveness of the Great Recess Framework—Observational Tool
title_full Examination of the Responsiveness of the Great Recess Framework—Observational Tool
title_fullStr Examination of the Responsiveness of the Great Recess Framework—Observational Tool
title_full_unstemmed Examination of the Responsiveness of the Great Recess Framework—Observational Tool
title_short Examination of the Responsiveness of the Great Recess Framework—Observational Tool
title_sort examination of the responsiveness of the great recess framework—observational tool
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981416/
https://www.ncbi.nlm.nih.gov/pubmed/31905598
http://dx.doi.org/10.3390/ijerph17010225
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