ArticleBMC pediatrics2013
The Swiss Neonatal Quality Cycle, a monitor for clinical performance and tool for quality improvement.
Article in BMC pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
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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
6 citing papers in PubMed.
- Mortality and morbidity in very preterm infants in Switzerland spanning 16 years (2006-2021).BMJ paediatrics open · 2026Article
- Methodological framework for the surveillance of healthcare-associated infections in high-risk infants: the NeoIPC surveillance core module protocol.Antimicrobial resistance and infection control · 2026Article
- Social determinants of health and outcome of extremely preterm infants: A Swiss population-based study.PloS one · 2026Article
- Absence of association between early antibiotic exposure and short-term adverse outcomes in very preterm infants: a single-center retrospective study.Frontiers in pediatrics · 2025Article
- Development of a Web-Based Oxygenation Dashboard for Preterm Neonates: A Quality Improvement Initiative.Journal of medical systems · 2024Article
- Real-time Data Display System of the Korean Neonatal Network.Journal of Korean medical science · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe describe the setup of a neonatal quality improvement tool and list which peer-reviewed requirements it fulfils and which it does not. We report on the so-far observed effects, how the units can identify quality improvement potential, and how they can measure the effect of changes made to improve quality.
methodsApplication of a prospective longitudinal national cohort data collection that uses algorithms to ensure high data quality (i.e. checks for completeness, plausibility and reliability), and to perform data imaging (Plsek's p-charts and standardized mortality or morbidity ratio SMR charts). The collected data allows monitoring a study collective of very low birth-weight infants born from 2009 to 2011 by applying a quality cycle following the steps 'guideline - perform - falsify - reform'.
results2025 VLBW live-births from 2009 to 2011 representing 96.1% of all VLBW live-births in Switzerland display a similar mortality rate but better morbidity rates when compared to other networks. Data quality in general is high but subject to improvement in some units. Seven measurements display quality improvement potential in individual units. The methods used fulfil several international recommendations.
conclusionsThe Quality Cycle of the Swiss Neonatal Network is a helpful instrument to monitor and gradually help improve the quality of care in a region with high quality standards and low statistical discrimination capacity.
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Registered trials
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