Evidence map›Paper›PMID 34174969›Full record

ArticleImplementation science communications2021

A systematic review of school health policy measurement tools: implementation determinants and outcomes.

Gabriella M McLoughlin, Peg Allen, Callie Walsh-Bailey, Ross C Brownson

Abstract read
In one paragraph

Article in Implementation science communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. A Scoping Review on Quality Physical Education Programmes and Their Outcomes on Primary-Level Pupils.International journal of environmental research and public health · 2023
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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

4 authors.

Gabriella M McLoughlinImplementation Science Center for Cancer Control (WU-ISC3) and Prevention Research Center, Brown School, Washington University in St. Louis, Campus Box 1196, One Brookings Drive, St. Louis, MO, 63130, USA. gmcloughlin@wustl.edu.ORCID http://orcid.org/0000-0002-7731-2382
Peg AllenImplementation Science Center for Cancer Control (WU-ISC3) and Prevention Research Center, Brown School, Washington University in St. Louis, Campus Box 1196, One Brookings Drive, St. Louis, MO, 63130, USA.
Callie Walsh-BaileyImplementation Science Center for Cancer Control (WU-ISC3) and Prevention Research Center, Brown School, Washington University in St. Louis, Campus Box 1196, One Brookings Drive, St. Louis, MO, 63130, USA.
Ross C BrownsonImplementation Science Center for Cancer Control (WU-ISC3) and Prevention Research Center, Brown School, Washington University in St. Louis, Campus Box 1196, One Brookings Drive, St. Louis, MO, 63130, USA.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Washington University Implementation Science Center for Cancer Control (WU-ISCCC)P50CA244431 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C, COLDITZ, GRAHAM A. · 2019 to 2023
$8.0M
ACL HHS U48DP006395CDC HHS U48DP006395NCATS NIH HHS UL1 TR002345NCCDPHP CDC HHS U48 DP006395NCI NIH HHS P50 CA244431NCI NIH HHS P50CA244431NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

backgroundGovernments in some countries or states/provinces mandate school-based policies intended to improve the health and well-being of primary and secondary students and in some cases the health of school staff. Examples include mandating a minimum time spent per week in programmed physical activity, mandating provision of healthy foods and limiting fat content of school meals, and banning tobacco products or use on school campuses. Although school health researchers have studied whether schools, districts, or states/provinces are meeting requirements, it is unclear to what extent implementation processes and determinants are assessed. The purposes of the present systematic review of quantitative measures of school policy implementation were to (1) identify quantitative school health policy measurement tools developed to measure implementation at the school, district, or state/provincial levels; (2) describe the policy implementation outcomes and determinants assessed and identify the trends in measurement; and (3) assess pragmatic and psychometric properties of identified implementation measures to understand their quality and suitability for broader application.

methodsPeer-reviewed journal articles published 1995-2020 were included if they (1) had multiple-item quantitative measures of school policy implementation and (2) addressed overall wellness, tobacco, physical activity, nutrition, obesity prevention, or mental health/bullying/social-emotional learning. The final sample comprised 86 measurement tools from 67 peer-review articles. We extracted study characteristics, such as psychometric and pragmatic measure properties, from included articles based on three frameworks: (1) Implementation Outcomes Framework, (2) Consolidated Framework for Implementation Research, and (3) Policy Implementation Determinants Framework.

resultsMost implementation tools were developed to measure overall wellness policies which combined multiple policy topics (n = 35, 40%) and were in survey form (n = 75, 87%). Fidelity was the most frequently prevalent implementation outcome (n = 70, 81%), followed by adoption (n = 32, 81%). The implementation determinants most assessed were readiness for implementation, including resources (n = 43, 50%), leadership (n = 42, 49%), and policy communication (n = 41, 48%). Overall, measures were low-cost and had easy readability. However, lengthy tools and lack of reported validity/reliability data indicate low transferability.

conclusionsImplementation science can contribute to more complete and rigorous assessment of school health policy implementation processes, which can improve implementation strategies and ultimately the intended health benefits. Several high-quality measures of implementation determinants and implementation outcomes can be applied to school health policy implementation assessment. Dissemination and implementation science researchers can also benefit from measurement experiences of school health researchers.

Indexed as

Dissemination and implementationHealth promotionMeasurementPolicySchools

Identifiers

PMID34174969
PMCPMC8235584

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.