Evidence map›Paper›PMID 33308237›Full record

ArticleThe international journal of behavioral nutrition and physical activity2020

Evaluating the implementation of the SWITCH® school wellness intervention and capacity-building process through multiple methods.

Gabriella M McLoughlin, Priscila Candal, Spyridoula Vazou, Joey A Lee, David A Dzewaltowski, Richard R Rosenkranz, Lorraine Lanningham-Foster, Douglas A Gentile, Laura Liechty, Senlin Chen and 1 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
  2. Review
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  4. From 'What's This?' To 'I Grew It!': Evaluation of a School Nutrition Program in Queensland, Australia.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
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  9. Assessing the Impacts of Creating Active Schools on Organisational Culture for Physical Activity.International journal of environmental research and public health · 2022
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  13. Staff Involvement and Family and Community Engagement.Journal of physical education, recreation & dance · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Gabriella M McLoughlinImplementation Science Center for Cancer Control and Prevention Research Center, Brown School, Washington University in St. Louis, One Brookings Drive, St. Louis, MO, 63130, USA. gmcloughlin@wustl.edu.ORCID 0000-0002-7731-2382
Priscila CandalDepartment of Kinesiology, Iowa State University, Ames, IA, 50011, USA.
Spyridoula VazouDepartment of Kinesiology, Iowa State University, Ames, IA, 50011, USA.
Joey A LeeDepartment of Health Sciences, University of Colorado, Colorado Springs, Colorado Springs, CO, 80918, USA.
David A DzewaltowskiCollege of Public Health, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Richard R RosenkranzDepartment of Food, Nutrition, Dietetics and Health, Kansas State University, Manhattan, KS, 66506, USA.
Lorraine Lanningham-FosterDepartment of Food Science and Human Nutrition, Iowa State University, Ames, IA, 50011, USA.
Douglas A GentileDepartment of Psychology, Iowa State University, Ames, IA, 50011, USA.
Laura LiechtyExtension and Outreach: 4-H Youth Development, Iowa State University, Ames, IA, 50011, USA.
Senlin ChenSchool of Kinesiology, Louisiana State University, Baton Rouge, LA, 70803, USA.
Gregory J WelkDepartment of Kinesiology, Iowa State University, Ames, IA, 50011, USA.
Iowa State University · USKansas State University · USLouisiana State University · USUniversity of Colorado Colorado Springs · USUniversity of Nebraska at Omaha · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchool 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.

methodsAs 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).

resultsPaired 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.

conclusionsThe 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.

Indexed as

Child HealthSchool Health ServicesAdolescentCapacity BuildingChildHealth Plan ImplementationHealth PolicyHealth PromotionHealthy LifestyleHumansIowaMaleSchoolsStudentsSurveys and QuestionnairesConsolidated framework for implementation research (CFIR)Implementation scienceMultiple methodsQualitativeQuantitative methodsSchool wellness

Identifiers

PMID33308237
PMCPMC7733251
OpenAlexW3112835428

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.