Successfully reducing newborn asphyxia in the labour unit in a large academic medical centre: a quality improvement project using statistical process control

Autor: Louise Munk, Christina Rørbye, Rikke von Benzon Hollesen, Anette Kjaerbye-Thygesen, Rie Laurine Rosenthal Johansen, Pierre M. Barker
Rok vydání: 2017
Předmět:
Zdroj: BMJ qualitysafety. 27(8)
ISSN: 2044-5423
Popis: BackgroundA safe delivery is part of a good start in life, and a continuous focus on preventing harm during delivery is crucial, even in settings with a good safety record. In January 2013, the labour unit at Copenhagen University Hospital, Hvidovre, undertook a quality improvement (QI) project to prevent asphyxia and reduced the percentage of newborns with asphyxia by 48%.MethodsThe change theory consisted of two primary elements: (1) the clinical content, including three clinical bundles of evidence-based care, a ‘delivery bundle’, an ‘oxytocin bundle’ and a ‘vacuum extraction bundle’; (2) an implementation theory, including improving skills in interpretation of cardiotocography, use of QI methods and participation in a national learning network. The Model for Improvement and Deming’s system of profound knowledge were used as a methodological framework. Data on compliance with the care bundles and the number of deliveries between newborns with asphyxia (Apgar ResultsCompliance with all three clinical care bundles improved to 95% or more, and the percentages of newborns with pH ConclusionThis QI project illustrates how aspects of patient safety, such as the prevention of asphyxia, can be improved using QI methods to more reliably implement best practice, even in high-performing systems.
Databáze: OpenAIRE