SynthesisHealth research policy and systems2023
Research- vs. government-driven physical activity policy monitoring: a systematic review across different levels of government.
Synthesis in Health research policy and systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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.
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Who cites it
4 citing papers in PubMed.
- The Global Physical Literacy Action Framework: Process and Outcomes.Sports medicine (Auckland, N.Z.) · 2026Article
- What Policies Do Local Governments Use to Promote Physical Activity? A Comparative Analysis of Municipalities From 4 EU Countries and Japan.International journal of health policy and management · 2025Article
- Collaborative Development of an Instrument to Monitor Physical Activity Promotion Based on Policy-Makers' Needs - the TARGET:PA Tool.International journal of health policy and management · 2025Article
- Developing a policy brief on physical activity promotion for children and adolescents.Frontiers in public health · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundEven though the importance of physical activity policy monitoring has increased in the last decade, there is a lack of understanding what different approaches exist and which methodology they employ. In order to address this research gap, this review attempts to map existing approaches of physical activity policy monitoring and to analyse methodological aspects, especially with regards to the roles of governments and researchers.
methodsA systematic search was conducted in five scientific databases (PubMed, Scopus, SportDiscus, Psycinfo, Web of Knowledge) in July 2021, and the identified records were screened independently by two reviewers. Records were included if they (a) focused on the monitoring of public policies to promote PA, (b) allowed to compare policies across time, across nations/regions or across policy sectors, and (c) were written in English, German or Russian. During full text analysis, information on methodological aspects was extracted and studies were categorized based on the level of government involvement.
resultsThe search yielded in a total of 112 studies. 86 of these studies (76.8%) followed a research-driven approach (little or no government involvement) while only two studies (1.8%) were based on a government-driven approach (led by governments). The remaining 24 studies (21.4%) were based on a co-production approach (strong collaboration between researchers and governments). All in all, 18 different tools for physical activity policy monitoring were identified; key examples are the Report Cards on Physical Activity for Children and Youth (research-driven approach), the HEPA Monitoring Framework (government-driven approach) and the HEPA Policy Audit Tool (co-production approach).
conclusionsThe level of government involvement in policy monitoring differs significantly, and research-driven, government-driven and co-production approaches can be distinguished. These approaches have different strengths and weaknesses, and can be linked to distinct theories of change and models on research-policy relations. Increasing awareness on the implications of these approaches is key to improve the understanding and further development of physical activity policy monitoring.
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Registered trials
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.