Comparison of four methods for deriving hospital standardised mortality ratios from a single hierarchical logistic regression model

Statistical Methods in Medical Research

Volumn 25, Issue 2, 2016, Pages 706-715

  Mohammed, Mohammed A ^a   Manktelow, Bradley N ^b   Hofer, Timothy P ^c  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b UNIVERSITY OF LEICESTER   (United Kingdom)

^c UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

hierarchical standardised mortality ratios; Hospital standardised mortality ratios; mixed effects logistic regression; non hierarchical hospital standardised mortality ratios

Indexed keywords

CONTROLLED STUDY; DOCTOR PATIENT RELATION; HOSPITAL; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; STANDARDIZED MORTALITY RATIO; COMPARATIVE STUDY; DIAGNOSIS RELATED GROUP; GESTATIONAL AGE; HOSPITAL MORTALITY; NEONATAL INTENSIVE CARE UNIT; NEWBORN; STATISTICAL MODEL;

DIAGNOSIS-RELATED GROUPS; GESTATIONAL AGE; HOSPITAL MORTALITY; HUMANS; INFANT, NEWBORN; INTENSIVE CARE UNITS, NEONATAL; LOGISTIC MODELS;

EID: 84964284870     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280212465165     Document Type: Article

References (31)

1. Bottle A, Jarman B, Aylin P,. Strengths and weaknesses of hospital standardised mortality ratios. BMJ 2011; 341: c7116-c7116.
2. Lilford R, Pronovost P,. Using hospital mortality rates to judge hospital performance: a bad idea that just won't go away. BMJ 2010; 340: 955-957.
3. Moran JL, Solomon PJ,. Mortality and other event rates: what do they tell us about performance?. Crit Care Resuscitat 2003; 5: 292-304.
4. Lilford R, Mohammed MA, Spiegelhalter D, et al. Use and misuse of process and outcome data in managing performance of acute medical care: avoiding institutional stigma. Lancet 2004; 363: 1147-1154.
5. Mohammed MA, Deeks JJ, Girling A, et al. Evidence of methodological bias in hospital standardised mortality ratios: retrospective database study of English hospitals. BMJ 2009; 338: b780-b780.
6. Spiegelhalter DJ,. Surgical audit: statistical lessons from Nightingale and Codman. J Roy Stat Soc Ser A-Stat Soc 1999; 162: 45-58.
7. Best M, Neuhauser D,. Ignaz Semmelweis and the birth of infection control. Qual Saf Health Care 2004; 13: 233-234.
8. Neuhauser D,. Surgical experience, hospital size and severity adjusted mortality: James Y Simpson, 1869. Qual Saf Health Care 2005; 14: 67-68.
9. Normand SLT, Glickman ME, Gatsonis CA,. Statistical methods for profiling providers of medical care: issues and applications. J Am Stat Assoc 1997; 92: 803-814.
10. Jarman B, Gault S, Alves B, et al. Explaining differences in English hospital death rates using routinely collected data. BMJ 1999; 318: 1515-1520.
11. Canadian Institute for Health Information. HSMR: a new approach for measuring hospital mortality trends in Canada 2007 Ottowa CIHI
12. Heijink R, Koolman X, Pieter D, et al. Measuring and explaining mortality in Dutch hospitals; The Hospital Standardized Mortality Rate between 2003 and 2005. BMC Health Serv Res 2008; 8: 73-73.
13. Köster M, Jürgensen U, Spetz C-L, et al. Standardiserad sjukhusdödlighet som kvalitetsmått i hälsooch sjukvård. Läkartidningens 2008; 105: 1391-1396.
14. Miyata H, Hashimoto H, Horiguchi H, et al. Performance of in-hospital mortality prediction models for acute hospitalization: Hospital Standardized Mortality Ratio in Japan. BMC Health Serv Res 2008; 8: 229-229.
15. Campbell MJ, Jacques RM, Fotheringham J, et al. An evaluation of the Summary Hospital Mortality Index: Final report. School of Health and Related Research, Sheffield University of Sheffield, http://www.sheffield.ac.uk/scharr/sections/hsr/statistics (2011, accessed 3 February 2012).
16. Shahian DM, Wolf R, Iezzoni L, et al. Variability in the measurement of hospital-wide mortality rates. N Engl J Med 2010; 363: 2530-2539.
17. Campbell MJ, Jacques RM, Fotheringham J, et al. Developing a summary hospital mortality index: retrospective analysis in English hospitals over five years. BMJ 2012; 344: e1001-e1001.
18. Goldstein H, Spiegelhalter DJ,. League tables and their limitations: statistical. s in comparisons of institutional performance. J Roy Stat Soc Ser A-Stat Soc 1996; 159: 385-409.
19. DeLong ER, Peterson ED, DeLong DM, et al. Comparing risk-adjustment methods for provider profiling. Stat Med 1997; 16: 2645-2664.
20. Shahian DM, Torchiana DF, Shemin RJ, et al. Massachusetts cardiac surgery report card: implications of statistical methodology. Ann Thorac Surg 2005; 80: 2106-2113.
21. Jones HE, Spiegelhalter DJ,. The identification of "unusual" health-care providers from a hierarchical model. Am Stat 2011; 65: 154-163.
22. Morris CN, Christiansen CL, Bernardo JO, Berger JO, Dawid AP, et al. Hierarchical models for ranking and for identifying extremes, with applications. Bayesian statistics 5. Oxford: Oxford University Press, 1996, 277-297.
23. Glance LG, Dick AW, Osler TM, et al. Using hierarchical modeling to measure ICU quality. Intensive Care Med 2003; 29: 2223-2229.
24. Render ML, Kim M, Deddens J, et al. Variation in outcomes in Veterans Affairs intensive care units with a computerized severity measure. Crit Care Med 2005; 33: 930-939.
25. Knaus WA, Draper EA, Wagner DP, et al. APACHE II: a severity of disease classification system. Crit Care Med 1985; 13: 818-829.
26. Knaus WA, Wagner DP, Draper EA, et al. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest 1991; 100: 1619-1636.
27. Parry G, Tucker J, Tarnow-Mordi W,. CRIB II: an update of the Clinical Risk Index for Babies Score. Lancet 2003; 361: 1789-1791.
28. Manktelow BN, Draper ES, Field DJ,. Predicting neonatal mortality among very preterm infants: a comparison of three versions of the CRIB score. Arch Dis Child Fetal Neonatal Ed 2010; 95: F9-F13.
29. Normand S-LT, Shahian DM,. Statistical and clinical aspects of hospital outcomes profiling. Stat Sci 2007; 22: 206-226.
30. Field DJ, Manktelow BN, Boyle EM, et al. The Neonatal Survey Report 2010. Leicester: The Neonatal Survey, 2011. http://www2.le.ac.uk/departments/health-sciences/research/timms/documents/the-neonatal-survey-report-2010.pdf (accessed 27 March 2012).
31. Department of Health. The NHS Outcomes Framework 2012/13. London: Department of Health, 2011. http://www.dh.gov.uk/prod-consum-dh/groups/dh-digitalassets/@dh/@en/documents/digitalasset/dh-091435.pdf (accessed 27 March 2012).