Evidence map›Paper›PMID 30563481›Full record

Trial reportBMC public health2018

Pathways leading to success and non-success: a process evaluation of a cluster randomized physical activity health promotion program applying fuzzy-set qualitative comparative analysis.

Christina Kien, Ludwig Grillich, Barbara Nussbaumer-Streit, Rudolf Schoberberger

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
8.1field-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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Christina KienDepartment for Evidence-based Medicine and Clinical Epidemiology, Danube-University Krems, 3500, Krems an der Donau, Austria. christina.kien@donau-uni.ac.at.
Ludwig GrillichDepartment for Evidence-based Medicine and Clinical Epidemiology, Danube-University Krems, 3500, Krems an der Donau, Austria.
Barbara Nussbaumer-StreitDepartment for Evidence-based Medicine and Clinical Epidemiology, Danube-University Krems, 3500, Krems an der Donau, Austria.
Rudolf SchoberbergerCenter for Public Health, Department of Social and Preventive Medicine, Medical University Vienna, 1090, Vienna, Austria.
Universität für Weiterbildung Krems · ATMedical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth promotion programs can only lead to improvements in health outcomes if they are effectively implemented. However, most studies assessing implementation success focus on only one condition, although more conditions influence this process. Therefore, evidence is scarce on what conditions play a role in successful implementation and how they interact. Hence, we aimed to identify which combinations of teacher and implementation process characteristics affected the emotional and social school experience (SCE) of pupils participating in a school-based health promotion program.

methodsThis study was part of an effectiveness and process evaluation including 24 intervention and 27 control classes. We used fuzzy-set qualitative comparative analysis (fsQCA) to identify combinations of conditions that were associated with either an increase or no increase in the outcome SCE in comparison to the control group at 20 months post intervention. We deductively selected five conditions based on the Consolidated Framework for Implementation Research: teachers' perceived self-efficacy, teachers' expectations of the benefits of the intervention, teachers' previous knowledge about the intervention, dosage of physical activity breaks, and quality of the implementation.

resultsWe identified five different pathways that led to no increase in the pupils' outcome (parameters of fit: consistency 94%, coverage 66%). The combination of an unsatisfying quality of implementing the intervention and a low previous knowledge about the intervention showed the highest empirical relevance. Similarly, fewer physical activity breaks in combination with other conditions impeded the program's success. Furthermore, we identified two different pathways characterizing ways to success (consistency: 81%, coverage: 52%). The most relevant combination was good quality implementation of physical activity breaks, implemented by teachers with a high self-efficacy, and a good previous knowledge about the intervention.

conclusionsQCA has potential for an in-depth analysis of complex interventions as it can rely on small to medium sample sizes and analyze pathways to success and non-success separately. The investigated program can be improved by considering the following suggestions: The quality of the implementation process should be monitored during the implementation phase, and regular feedback loops and learning opportunities for teachers should accompany a program. Clear recommendations regarding the dosage should be established.

trial registrationGerman register of clinical studies: DRKS00000622 . Retrospectively registered: December 3, 2010, ( http://www.drks.de/drks_web/setLocale_EN.do ). Approved by the Ethics Committee of Lower Austria (GS4-EK-4/107-2010).

Indexed as

ExerciseAustriaChildCluster AnalysisHumansProgram EvaluationQualitative ResearchSchool Health ServicesSchoolsCluster RCTMethods for implementation researchPhysical activityProcess evaluationQualitative comparative analysisSchoolTeacher professional development

Identifiers

PMID30563481
PMCPMC6299632
OpenAlexW2904613786

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.