Strengths and weaknesses of hospital standardised mortality ratios

Hospital standardised mortality ratios are fairly easy to produce and, as the example of Mid Staffordshire shows, can help identify hospitals with poor performance. However, they are not without problems

[1]  R. Tennant,et al.  Using care bundles to reduce in-hospital mortality: quantitative survey , 2010, BMJ : British Medical Journal.

[2]  L I Iezzoni,et al.  Explaining differences in English hospital death rates using routinely collected data , 1999, BMJ.

[3]  A. Bottle,et al.  Monitoring changes in hospital standardised mortality ratios , 2005, BMJ : British Medical Journal.

[4]  P. Ziprin,et al.  Systematic review of discharge coding accuracy. , 2012, Journal of public health.

[5]  B Jarman,et al.  The hospital standardised mortality ratio: a powerful tool for Dutch hospitals to assess their quality of care? , 2010, Quality and Safety in Health Care.

[6]  G. Rubenfeld,et al.  Transferring critically ill patients out of hospital improves the standardized mortality ratio: a simulation study. , 2007, Chest.

[7]  C. Mackenzie,et al.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. , 1987, Journal of chronic diseases.

[8]  C. Mottram,et al.  A safer place for patients: learning to improve patient safety , 2005 .

[9]  A. Costa How can we treat it in the UK? , 2010, BMJ : British Medical Journal.

[10]  J. Deeks,et al.  Evidence of methodological bias in hospital standardised mortality ratios: retrospective database study of English hospitals , 2009, BMJ : British Medical Journal.

[11]  Investigation into Mid Staffordshire NHS Foundation Trust , 2009 .

[12]  P. Pronovost,et al.  Using hospital mortality rates to judge hospital performance: a bad idea that just won’t go away , 2010, BMJ : British Medical Journal.

[13]  A. Bottle,et al.  Intelligent information: a national system for monitoring clinical performance. , 2007, Health services research.

[14]  R. Hayward,et al.  Estimating hospital deaths due to medical errors: preventability is in the eye of the reviewer. , 2001, JAMA.

[15]  Richard Lilford,et al.  Use and misuse of process and outcome data in managing performance of acute medical care: avoiding institutional stigma , 2004, The Lancet.

[16]  John Wright,et al.  Learning from Death: A Hospital Mortality Reduction Programme , 2006, Journal of the Royal Society of Medicine.

[17]  David C Hoaglin,et al.  Modifying ICD-9-CM Coding of Secondary Diagnoses to Improve Risk-Adjustment of Inpatient Mortality Rates , 2009, Medical decision making : an international journal of the Society for Medical Decision Making.

[18]  D J Spiegelhalter,et al.  Handling over-dispersion of performance indicators , 2005, Quality and Safety in Health Care.

[19]  Jon Nicholl,et al.  Case-mix adjustment in non-randomised observational evaluations: the constant risk fallacy , 2007, Journal of Epidemiology & Community Health.

[20]  H. Mooney Marmot says government can’t afford to ignore health inequality , 2010, BMJ : British Medical Journal.

[21]  N. Black Assessing the quality of hospitals , 2010, BMJ : British Medical Journal.

[22]  Assessing the quality of hospitals Hospital standardised mortality ratios should be abandoned , 2010 .