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Interrupted Time Series Versus Statistical Process Control in Quality Improvement Projects
University of Borås, Sweden.
Jönköping University, Sweden.
Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Logistik- och kvalitetsutveckling. Linköpings universitet, Tekniska fakulteten. Linköpings universitet, HELIX Vinn Excellence Centre.ORCID-id: 0000-0003-4730-5453
2016 (engelsk)Inngår i: Journal of Nursing Care Quality, ISSN 1057-3631, E-ISSN 1550-5065, Vol. 31, nr 1, s. E1-E8Artikkel i tidsskrift (Fagfellevurdert) Published
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Text
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.

sted, utgiver, år, opplag, sider
LIPPINCOTT WILLIAMS & WILKINS , 2016. Vol. 31, nr 1, s. E1-E8
Emneord [en]
computerized decision support system; quality improvement; segmented regression; statistical process control; time series
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-130319DOI: 10.1097/NCQ.0000000000000130ISI: 000378245700001PubMedID: 26018566OAI: oai:DiVA.org:liu-130319DiVA, id: diva2:950482
Tilgjengelig fra: 2016-07-31 Laget: 2016-07-28 Sist oppdatert: 2017-11-28

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