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Interrupted Time Series Versus Statistical Process Control in Quality Improvement Projects
University of Borås, Faculty of Caring Science, Work Life and Social Welfare.
2016 (English)In: Journal of Nursing Care Quality, ISSN 1057-3631, Vol. 31, no 1, E1-E8 p.Article in journal (Refereed) Published
Abstract [en]

To measure the effect of quality improvement interventions, it is appropriate to use analysis methods that measure data over time. Examples of such methods include statistical process control analysis and interrupted time series with segmented regression analysis. This article compares the use of statistical process control analysis and interrupted time series with segmented regression analysis for evaluating the longitudinal effects of quality improvement interventions, using an example study on an evaluation of a computerized decision support system.

Place, publisher, year, edition, pages
2016. Vol. 31, no 1, E1-E8 p.
Keyword [en]
computerized decision support system, quality improvement, segmented regression, statistical process control, time series
National Category
Medical and Health Sciences
Research subject
Människan i vården
Identifiers
URN: urn:nbn:se:hb:diva-8851DOI: 10.1097/NCQ.0000000000000130ISI: 000378245700001Scopus ID: 84948460041OAI: oai:DiVA.org:hb-8851DiVA: diva2:903339
Available from: 2016-02-15 Created: 2016-02-15 Last updated: 2016-12-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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