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Evaluating hospital performance based on excess cause-specific incidence
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics. Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium. (
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics. (Stat4Reg)ORCID iD: 0000-0003-3298-1555
2015 (English)In: Statistics in Medicine, ISSN 0277-6715, E-ISSN 1097-0258, Vol. 34, no 8, 1334-1350 p.Article in journal (Refereed) Published
Abstract [en]

Formal evaluation of hospital performance in specific types of care is becoming an indispensable tool for quality assurance in the health care system. When the prime concern lies in reducing the risk of a cause-specific event, we propose to evaluate performance in terms of an average excess cumulative incidence, referring to the center's observed patient mix. Its intuitive interpretation helps give meaning to the evaluation results and facilitates the determination of important benchmarks for hospital performance. We apply it to the evaluation of cerebrovascular deaths after stroke in Swedish stroke centers, using data from Riksstroke, the Swedish stroke registry. 

Place, publisher, year, edition, pages
2015. Vol. 34, no 8, 1334-1350 p.
Keyword [en]
competing risks, excess cumulative incidence, hospital performance evaluation, quality-of-care, stroke
National Category
Probability Theory and Statistics Health Sciences Bioinformatics (Computational Biology)
URN: urn:nbn:se:umu:diva-99069DOI: 10.1002/sim.6409ISI: 000351207000006PubMedID: 25640288OAI: diva2:785600
Available from: 2015-02-03 Created: 2015-02-03 Last updated: 2015-11-26Bibliographically approved

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Rompaye, Bart VanEriksson, Marie
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