Explaining differences in English hospital death rates using routinely collected data
- PMID: 10356004
- PMCID: PMC27892
- DOI: 10.1136/bmj.318.7197.1515
Explaining differences in English hospital death rates using routinely collected data
Abstract
Objectives: To ascertain hospital inpatient mortality in England and to determine which factors best explain variation in standardised hospital death ratios.
Design: Weighted linear regression analysis of routinely collected data over four years, with hospital standardised mortality ratios as the dependent variable.
Setting: England.
Subjects: Eight million discharges from NHS hospitals when the primary diagnosis was one of the diagnoses accounting for 80% of inpatient deaths.
Main outcome measures: Hospital standardised mortality ratios and predictors of variations in these ratios.
Results: The four year crude death rates varied across hospitals from 3.4% to 13.6% (average for England 8.5%), and standardised hospital mortality ratios ranged from 53 to 137 (average for England 100). The percentage of cases that were emergency admissions (60% of total hospital admissions) was the best predictor of this variation in mortality, with the ratio of hospital doctors to beds and general practitioners to head of population the next best predictors. When analyses were restricted to emergency admissions (which covered 93% of all patient deaths analysed) number of doctors per bed was the best predictor.
Conclusion: Analysis of hospital episode statistics reveals wide variation in standardised hospital mortality ratios in England. The percentage of total admissions classified as emergencies is the most powerful predictor of variation in mortality. The ratios of doctors to head of population served, both in hospital and in general practice, seem to be critical determinants of standardised hospital death rates; the higher these ratios, the lower the death rates in both cases.
Figures
Comment in
-
Differences in death rates in English hospitals. Effects of admission rates may have been understated.BMJ. 1999 Sep 25;319(7213):854. BMJ. 1999. PMID: 10496848 Free PMC article. No abstract available.
-
Differences in death rates in English hospitals. Data are inadequate basis for drawing conclusion of paper.BMJ. 1999 Sep 25;319(7213):854-5. BMJ. 1999. PMID: 10576832 No abstract available.
-
Principal variable is not what it seems in league tables.BMJ. 2001 May 12;322(7295):1181. BMJ. 2001. PMID: 11379583 Free PMC article. No abstract available.
Similar articles
-
Weekend mortality for emergency admissions. A large, multicentre study.Qual Saf Health Care. 2010 Jun;19(3):213-7. doi: 10.1136/qshc.2008.028639. Epub 2010 Jan 28. Qual Saf Health Care. 2010. PMID: 20110288
-
Epidemiology and patterns of hospital use after parasuicide in the south west of England.J Epidemiol Community Health. 1996 Feb;50(1):24-9. doi: 10.1136/jech.50.1.24. J Epidemiol Community Health. 1996. PMID: 8762349 Free PMC article.
-
Evidence of methodological bias in hospital standardised mortality ratios: retrospective database study of English hospitals.BMJ. 2009 Mar 18;338:b780. doi: 10.1136/bmj.b780. BMJ. 2009. PMID: 19297447 Free PMC article.
-
Factors associated with hospital emergency readmission and mortality rates in patients with heart failure or chronic obstructive pulmonary disease: a national observational study.Southampton (UK): NIHR Journals Library; 2018 Jul. Southampton (UK): NIHR Journals Library; 2018 Jul. PMID: 30044581 Free Books & Documents. Review.
-
What do hospital mortality rates tell us about quality of care?Emerg Med J. 2015 Mar;32(3):244-7. doi: 10.1136/emermed-2013-203022. Epub 2013 Sep 23. Emerg Med J. 2015. PMID: 24064042 Review.
Cited by
-
A multivariable analysis to predict variations in hospital mortality using systems-based factors of healthcare delivery to inform improvements to healthcare design within the English NHS.PLoS One. 2024 Jul 5;19(7):e0303932. doi: 10.1371/journal.pone.0303932. eCollection 2024. PLoS One. 2024. PMID: 38968314 Free PMC article.
-
Do Common Risk Adjustment Methods Do Their Job Well if Center Effects are Correlated With the Center-Specific Mean Values of Patient Characteristics?Med Care. 2024 May 29;62(11):773-81. doi: 10.1097/MLR.0000000000002008. Online ahead of print. Med Care. 2024. PMID: 38833716 Free PMC article.
-
[Hospital standardized mortality ratio: limits and potential of the indicator for assessing hospital performance in the Brazilian Unified National Health System].Cad Saude Publica. 2024 Feb 26;40(2):e00080723. doi: 10.1590/0102-311XPT080723. eCollection 2024. Cad Saude Publica. 2024. PMID: 38422249 Free PMC article. Portuguese.
-
Developing and externally validating a machine learning risk prediction model for 30-day mortality after stroke using national stroke registers in the UK and Sweden.BMJ Open. 2023 Nov 15;13(11):e069811. doi: 10.1136/bmjopen-2022-069811. BMJ Open. 2023. PMID: 37968001 Free PMC article.
-
Staffing levels and hospital mortality in England: a national panel study using routinely collected data.BMJ Open. 2023 May 17;13(5):e066702. doi: 10.1136/bmjopen-2022-066702. BMJ Open. 2023. PMID: 37197808 Free PMC article.
References
-
- Nightingale F. Notes on hospitals. 3rd ed. London: Longman Green; 1863.
-
- Buckle F. Vital and economical statistics of the hospitals, infirmaries, etc of England and Wales for the year 1863. London: Churchill; 1865.
-
- National Confidential Enquiry into Perioperative Deaths (NCEPOD) Report 1992. London: NCEPOD; 1992.
-
- Jarman B, Lang H, Ruggles R, Wallace M, Gault S, Astin P. The contribution of London’s academic medicine to healthcare and the economy – report commissioned by the deans of the medical schools of the University of London. London: University of London; 1997.
-
- Commission on Professional Hospital Activities. Risk adjusted hospital mortality norms 1986 workbook. Ann Arbor, MI: CPHA; 1987.
MeSH terms
LinkOut - more resources
Full Text Sources