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Record W2599595391 · doi:10.1186/s13012-017-0570-3

A theoretical analysis of the barriers and facilitators to the implementation of school-based physical activity policies in Canada: a mixed methods scoping review

2017· article· en· W2599595391 on OpenAlexaffabout
Katie A. Weatherson, Heather L. Gainforth, Mary E. Jung

Bibliographic record

VenueImplementation Science · 2017
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of British Columbia, Okanagan CampusOkanagan University CollegeUniversity of British Columbia
Fundersnot available
KeywordsCINAHLMedicineImplementation researchHealth administrationHealth services researchHealth informaticsPhysical activityHealth policyMedical educationPublic healthNursingPsychological interventionPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Given the potential impact school-based daily physical activity (DPA) policies can have on the health outcomes of Canadian children, it is surprising that such little research has examined the implementation and student-level effectiveness of these policies, and that even less have used theory to understand the barriers and facilitators affecting uptake of this policy by teachers. This review descriptively summarizes the implementation status, approaches used to implement DPA, and the effectiveness of DPA at increasing the physical activity of children at school. In addition, the Theoretical Domains Framework (TDF) was used to explore the barriers and facilitators to DPA implementation. METHODS: A scoping review of English articles using ERIC, CINAHL, and Google Scholar (2005 to 2016) was conducted. Only studies that evaluated the implementation and/or student-level effectiveness of DPA policies in Canadian elementary schools were included. Only articles that examined DPA implementation barriers and facilitators by teachers, principals, and/or administration were eligible for the TDF analysis. Data on study characteristics and major findings regarding implementation status, implementation approach used, and impact on student's physical activity were extracted and were summarized descriptively, including study quality indicators. Two coders extracted and categorized implementation barriers and facilitators into TDF domains. RESULTS: The search resulted in 66 articles being retrieved and 38 being excluded for not meeting the eligibility criteria, leaving 15 eligible for review (10 of which examined barriers and facilitators to implementation from DPA deliverers' perspective). Eleven of 15 studies examined the Ontario DPA policy, and 2 studies were from both Alberta and British Columbia. Thirteen studies examined implementation, and only two examined effectiveness. DPA implementation status, approaches to delivery, and effectiveness on student's PA levels are inconsistent across the three provinces. A total of 203 barriers/facilitators were extracted across the ten implementation studies, most of which related to the environmental context and resources (ECR; n = 86; 37.4%), beliefs about consequences (n = 41; 17.8%), and social influences (n = 36; 15.7%) TDF domains. CONCLUSIONS: With the limited research examining the DPA policy in Canada, the current status and approaches used to implement DPA and the student-level effectiveness is not well understood; however, this review revealed that DPA deliverers often report many barriers to DPA implementation. Most importantly, in conducting a TDF-based analysis of the barriers/facilitators affecting implementation, this review provides a theoretical basis by which researchers and policy-makers can design interventions to better target these problems in the future. REGISTRATION: A protocol for this review was not registered.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.063
metaresearch head score (Gemma)0.148
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.893
Threshold uncertainty score0.774

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0630.148
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0390.048
Science and technology studies0.0070.004
Scholarly communication0.0140.006
Open science0.0050.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.504
Teacher spread0.448 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations84
Published2017
Admission routes2
Has abstractyes

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