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Published 18 March 2009, doi:10.1136/bmj.b780
Cite this as: BMJ 2009;338:b780
Mohammed A Mohammed, senior lecturer1, Jonathan J Deeks, professor of health statistics1, Alan Girling, senior research fellow1, Gavin Rudge, data scientist1, Martin Carmalt, consultant physician2, Andrew J Stevens, professor of public health and epidemiology1, Richard J Lilford, professor of clinical epidemiology1
1 Unit of Public Health, Epidemiology and Biostatistics, University of Birmingham, Birmingham B15 2TT , 2 Royal Orthopaedic Hospital, Birmingham B31 2AP
Correspondence to: M A Mohammed M.A.Mohammed{at}Bham.ac.uk
Design Retrospective analysis of routinely collected hospital data comparing observed deaths with deaths predicted by the Dr Foster Unit case mix method.
Setting Four acute National Health Service hospitals in the West Midlands (England) with case mix adjusted standardised mortality ratios ranging from 88 to 140.
Participants 96 948 (April 2005 to March 2006), 126 695 (April 2006 to March 2007), and 62 639 (April to October 2007) admissions to the four hospitals.
Main outcome measures Presence of large interaction effects between case mix variable and hospital in a logistic regression model indicating non-constant risk relations, and plausible mechanisms that could give rise to these effects.
Results Large significant (P
0.0001) interaction effects were seen with several case mix adjustment variables. For two of these variables—the Charlson (comorbidity) index and emergency admission—interaction effects could be explained credibly by differences in clinical coding and admission practices across hospitals.
Conclusions The Dr Foster Unit hospital standardised mortality ratio is derived from an internationally adopted/adapted method, which uses at least two variables (the Charlson comorbidity index and emergency admission) that are unsafe for case mix adjustment because their inclusion may actually increase the very bias that case mix adjustment is intended to reduce. Claims that variations in hospital standardised mortality ratios from Dr Foster Unit reflect differences in quality of care are less than credible.
© Mohammed et al 2009
This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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