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Interrupted time series versus statistical process control in quality improvement projects
School of Health Sciences, University of Borås, Sweden.
Högskolan i Jönköping, Hälsohögskolan, The Jönköping Academy for Improvement of Health and Welfare. Högskolan i Jönköping, Hälsohögskolan, HHJ. IMPROVE (Improvement, innovation, and leadership in health and welfare).
Högskolan i Jönköping, Hälsohögskolan, The Jönköping Academy for Improvement of Health and Welfare. Division of Quality Technology and Management, Linköping University, Sweden.
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
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
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:hj:diva-28753DOI: 10.1097/NCQ.0000000000000130ISI: 000378245700001PubMedID: 26018566Scopus ID: 2-s2.0-84948460041ISBN: 1550-5065 (Electronic) 1057-3631 (Linking) (tryckt)OAI: oai:DiVA.org:hj-28753DiVA, id: diva2:888185
Tilgjengelig fra: 2015-12-22 Laget: 2015-12-22 Sist oppdatert: 2018-08-29bibliografisk kontrollert

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