Statistics in quality improvement: Measurement and statistical process control.
healthcare quality evaluation
process assessment
quality improvement
quality improvement Statistics
statistical process control
Journal
Paediatric anaesthesia
ISSN: 1460-9592
Titre abrégé: Paediatr Anaesth
Pays: France
ID NLM: 9206575
Informations de publication
Date de publication:
05 2021
05 2021
Historique:
revised:
12
02
2021
received:
09
10
2020
accepted:
16
02
2021
pubmed:
21
2
2021
medline:
5
8
2021
entrez:
20
2
2021
Statut:
ppublish
Résumé
Data are used in healthcare quality improvement endeavors to measure and determine whether the changes made in the course of the work have made the desired impact. The methods used to analyze data in quality improvement differ slightly from those used in classical statistics. Run charts and statistical process control charts are the most common types of graphical representations used to visualize data collected for quality improvement. This review provides a basic introduction to measurement in quality improvement and explains the use of run charts and statistical process control charts with real-life examples.
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
539-547Informations de copyright
© 2021 John Wiley & Sons Ltd.
Références
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