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'Online' monitoring and retrospective analysis of hospital outcomes based on a scan statistic

Ismail, Noor A., Pettitt, Anthony N., & Webster, Ronald A. (2003) 'Online' monitoring and retrospective analysis of hospital outcomes based on a scan statistic. Statistics in Medicine, 22(18), pp. 2861-2876.

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Abstract

Statistical tests based on the scan statistic are introduced for detecting possible increases in the occurrence of hospital events. The tests use a moving window and the theoretical aspects of the tests are investigated using Markov chain theory. The main objective of this study is to provide a statistical technique to assist hospital sta in deciding whether the variation they observe is greater than usually expected under random variation. In this paper we develop the test for Poisson data and apply the theory to monitor the occurrence of orthopaedic wound infection and Methicillin-resistant Staphylococcus aureus colonization. We find that this method is sensitive in detecting the change in the process parameter which may not be detected by standard control chart methods. Both online and retrospective analyses are considered.

Impact and interest:

16 citations in Scopus
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13 citations in Web of Science®

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ID Code: 102
Item Type: Journal Article
Additional Information: For more information, please refer to the journal's website (see hypertext link).
Keywords: adverse events, health care, Markov chain, process control, retrospective analysis surveillance
DOI: 10.1002/sim.1532
ISSN: 0277-6715
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000)
Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Applied Statistics (010401)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Schools > School of Mathematical Sciences
Copyright Owner: Copyright 2003 John Wiley & Sons
Deposited On: 10 Jun 2004
Last Modified: 08 Aug 2013 14:40

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