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Published in: BMC Health Services Research 1/2007

Open Access 01-12-2007 | Correspondence

The most dangerous hospital or the most dangerous equation?

Authors: Yu-Kang Tu, Mark S Gilthorpe

Published in: BMC Health Services Research | Issue 1/2007

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Abstract

Background

Hospital mortality rates are one of the most frequently selected indicators for measuring the performance of NHS Trusts. A recent article in a national newspaper named the hospital with the highest or lowest mortality in the 2005/6 financial year; a report by the organization Dr Foster Intelligence provided information with regard to the performance of all NHS Trusts in England.

Methods

Basic statistical theory and computer simulations were used to explore the relationship between the variations in the performance of NHS Trusts and the sizes of the Trusts. Data of hospital standardised mortality ratio (HSMR) of 152 English NHS Trusts for 2005/6 were re-analysed.

Results

A close examination of the information reveals a pattern which is consistent with a statistical phenomenon, discovered by the French mathematician de Moivre nearly 300 years ago, described in every introductory statistics textbook: namely that variation in performance indicators is expected to be greater in small Trusts and smaller in large Trusts. From a statistical viewpoint, the number of deaths in a hospital is not in proportion to the size of the hospital, but is proportional to the square root of its size. Therefore, it is not surprising to note that small hospitals are more likely to occur at the top and the bottom of league tables, whilst mortality rates are independent of hospital sizes.

Conclusion

This statistical phenomenon needs to be taken into account in the comparison of hospital Trusts performance, especially with regard to policy decisions.
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Metadata
Title
The most dangerous hospital or the most dangerous equation?
Authors
Yu-Kang Tu
Mark S Gilthorpe
Publication date
01-12-2007
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2007
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/1472-6963-7-185

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