Evidence map›Paper›PMID 35413919›Full record

ArticleThe international journal of behavioral nutrition and physical activity2022

Identifying essential implementation strategies: a mixed methods process evaluation of a multi-strategy policy implementation intervention for schools.

Cassandra Lane, Patti-Jean Naylor, Adam Shoesmith, Luke Wolfenden, Alix Hall, Rachel Sutherland, Nicole Nathan

Open access · goldAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 2 institutions in 2 countries.

Cassandra LaneSchool of Medicine and Public Health, The University of Newcastle, 1 University Drive, Callaghan, NSW, 2308, Australia. Cassandra.lane1@health.nsw.gov.au.ORCID 0000-0003-0492-8554
Patti-Jean NaylorSchool of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada.
Adam ShoesmithSchool of Medicine and Public Health, The University of Newcastle, 1 University Drive, Callaghan, NSW, 2308, Australia.
Luke WolfendenSchool of Medicine and Public Health, The University of Newcastle, 1 University Drive, Callaghan, NSW, 2308, Australia.
Alix HallSchool of Medicine and Public Health, The University of Newcastle, 1 University Drive, Callaghan, NSW, 2308, Australia.
Rachel SutherlandSchool of Medicine and Public Health, The University of Newcastle, 1 University Drive, Callaghan, NSW, 2308, Australia.
Nicole NathanSchool of Medicine and Public Health, The University of Newcastle, 1 University Drive, Callaghan, NSW, 2308, Australia.
Hunter Medical Research Institute · AUUniversity of Victoria · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysically Active Children in Education (PACE) is composed of eight implementation strategies that improves schools' implementation of a government physical activity policy. A greater understanding of each discrete implementation strategy could inform improvements to PACE for delivery at-scale. This study aimed to: (A) measure the dose delivered, fidelity, adoption and acceptability of each strategy using quantitative data; (B) identify implementation barriers and facilitators using qualitative data; and (C) explore the importance of each strategy by integrating both data sets (mixed methods).

methodsThis study used data from a cluster randomised noninferiority trial comparing PACE with an adapted version (Adapted PACE) that was delivered with reduced in-person external support to reduce costs and increase scalability. Data were collected from both trials arms for between-group comparison. Descriptive statistics were produced using surveys of principals, in-school champions and teachers; and project records maintained by PACE project officers (objective A). Thematic analysis was performed using in-school champion and project officer interviews (objective B). Both data sets were integrated via a triangulation protocol and findings synthesized in the form of meta-inferences (objective C).

resultsEleven in-school champions and six project officers completed interviews; 33 principals, 51 in-school champions and 260 teachers completed surveys. Regardless of group allocation, implementation indicators were high for at least one component of each strategy: dose delivered =100%, fidelity ≥95%, adoption ≥83%, acceptability ≥50%; and several implementation barriers and facilitators were identified within three broad categories: external policy landscape, inner organizational structure/context of schools, and intervention characteristics and processes. All strategies were considered important as use varied by school, however support from a school executive and in-school champions' interest were suggested as especially important for optimal implementation.

conclusionThis study highlights the importance of both executive support and in-school champions for successful implementation of school physical activity policies. In particular, identifying and supporting an in-school champion to have high power and high interest is recommended for future implementation strategies. This may reduce the need for intensive external support, thus improving intervention scalability.

Indexed as

ExerciseSchoolsChildHumansPolicyResearch DesignSchool Health ServicesAdaptationsChampionsChildrenImplementationMixed methodsPhysical activityPolicyScale-upSchool

Identifiers

PMID35413919
PMCPMC9004180
OpenAlexW4223605374

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.