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PMID: 22381521 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Developing a summary hospital mortality index: retrospective analysis in English hospitals over five years.

BMJ (Clinical research ed.) ·Vol. 344 ·2012-03-01 ·Pages e1001

Campbell MJ, Jacques RM, Fotheringham J, Maheswaran R, Nicholl J

Abstract

To develop a transparent and reproducible measure for hospitals that can indicate when deaths in hospital or within 30 days of discharge are high relative to other hospitals, given the characteristics of the patients in that hospital, and to investigate those factors that have the greatest effect in changing the rank of a hospital, whether interactions exist between those factors, and the stability of the measure over time. Retrospective cross sectional study of admissions to English hospitals. Hospital episode statistics for England from 1 April 2005 to 30 September 2010, with linked mortality data from the Office for National Statistics. 36.5 million completed hospital admissions in 146 general and 72 specialist trusts. Deaths within hospital or within 30 days of discharge from hospital. The predictors that were used in the final model comprised admission diagnosis, age, sex, type of admission, and comorbidity. The percentage of people admitted who died in hospital or within 30 days of discharge was 4.2% for males and 4.5% for females. Emergency admissions comprised 75% of all admissions and 5.5% died, in contrast to 0.8% who died after an elective admission. The percentage who died with a Charlson comorbidity score of 0 was 2% in contrast with 15% who died with a score greater than 5. Given these variables, the relative standardised mortality rates of the hospitals were not noticeably changed by adjusting for the area level deprivation and number of previous emergency visits to hospital. There was little evidence that including interaction terms changed the relative values by any great amount. Using these predictors the summary hospital mortality index (SHMI) was derived. For 2007/8 the model had a C statistic of 0.911 and accounted for 81% of the variability of between hospital mortality. A random effects funnel plot was used to identify outlying hospitals. The outliers from the SHMI over the period 2005-10 have previously been identified using other mortality indicators. The SHMI is a relatively simple tool that can be used in conjunction with other information to identify hospitals that may need further investigation.

MeSH Terms
Adolescent Adult Aged Aged, 80 and over Child Child, Preschool Comorbidity Cross-Sectional Studies Emergency Service, Hospital/statistics & numerical data England/epidemiology Female Hospital Mortality/trends Hospitalization/statistics & numerical data Hospitals/standards Humans Infant Male Middle Aged Models, Statistical Outcome Assessment, Health Care/statistics & numerical data Quality Indicators, Health Care/standards Reproducibility of Results Retrospective Studies Sex Distribution Young Adult
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Campbell Michael J
ScHARR, University of Sheffield, Sheffield S1 4DA, UK. [email protected]
Jacques Richard M
Fotheringham James
Maheswaran Ravi
Nicholl Jon
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Article Info
Journal
BMJ (Clinical research ed.)
Abbr.
BMJ
ISSN
1756-1833
Published
2012-03-01
Epub
2012-00-01
Pages
e1001
Language
English
Region
England
NLM ID
8900488
PMCID
PMC3291118
Subset
IM
Grants
Department of Health · United Kingdom
Corrections
ErratumIn
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