ReviewJournal of infection prevention2020
A systematic review and meta-synthesis of policy intervention characteristics that influence the implementation of government-directed policy in the hospital setting: implications for infection prevention and control.
Review in Journal of infection prevention, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effect of interventions on surgical site infections in Sub-Saharan Africa: a systematic review.BMC surgery · 2025Pooled it
- Carbapenem-Resistant Enterobacterales (CRE) in Europe: Surveillance Challenges, Emerging Threats and Public Health Preparedness.Antibiotics (Basel, Switzerland) · 2026Review
- A qualitative exploration of pharmacovigilance policy implementation in Jordan, Oman, and Kuwait using Matland's ambiguity-conflict model.Globalization and health · 2021Article
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
No grant is acknowledged in the PubMed record.
Abstract
backgroundGovernment-directed policy plays an important role in the regulation and supervision of healthcare quality. Effective implementation of these policies has the potential to significantly improve clinical practice and patient outcomes, including the prevention of healthcare-associated infections. A systematic review of research describing the implementation of government-directed policy in the hospital setting was performed with the aim to identify policy intervention characteristics that influence implementation.
methodsA systematic search of four electronic databases was undertaken to identify eligible articles published between 2007 and 2017. Studies were included if published in the English language and described the implementation of government-directed policy in a high-income country hospital setting. Data on policy and implementation were extracted for each article and interpretive syntheses performed.
resultsA total of 925 articles were retrieved and titles and abstracts reviewed, with 69 articles included after review of abstract and full text. Qualitative synthesis of implementation data showed three overarching themes related to intervention characteristics associated with implementation: clarity; infrastructure; and alignment.
conclusionBetter understanding and consideration of policy intervention characteristics during development and planning will facilitate more effective implementation although research describing implementation of government-directed policy in the hospital setting is limited and of variable quality. The findings of this study provide guidance to staff tasked with the development or implementation of government-directed policy in the hospital setting, infection prevention and control professionals seeking to maximise the impact of policy on practice and improve patient outcomes.
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What OpenQuestion holds
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.