Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783491074880176128 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6981416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT masseywilliamv examinationoftheresponsivenessofthegreatrecessframeworkobservationaltool AT stellinomeganb examinationoftheresponsivenessofthegreatrecessframeworkobservationaltool AT haydenlaura examinationoftheresponsivenessofthegreatrecessframeworkobservationaltool AT thalkenjanelle examinationoftheresponsivenessofthegreatrecessframeworkobservationaltool |