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Volumn 19, Issue 1, 2010, Pages 9-13

The hospital standardised mortality ratio: A powerful tool for Dutch hospitals to assess their quality of care?

Author keywords

[No Author keywords available]

Indexed keywords

AGE; ARTICLE; COMORBIDITY; DIAGNOSIS RELATED GROUP; FACTUAL DATABASE; HEALTH CARE QUALITY; HOSPITAL ADMISSION; HUMAN; LENGTH OF STAY; METHODOLOGY; MORTALITY; NETHERLANDS; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; RISK ASSESSMENT; SEX DIFFERENCE; STANDARD; STATISTICAL MODEL; STATISTICS;

EID: 77649121646     PISSN: 14753898     EISSN: 14753901     Source Type: Journal    
DOI: 10.1136/qshc.2009.032953     Document Type: Article
Times cited : (100)

References (27)
  • 2
    • 0033019723 scopus 로고    scopus 로고
    • Explaining differences in English hospital death rates using routinely collected data
    • Jarman B, Gault S, Alves B, et al. Explaining differences in English hospital death rates using routinely collected data. BMJ 1999;318:1515-20.
    • (1999) BMJ , vol.318 , pp. 1515-1520
    • Jarman, B.1    Gault, S.2    Alves, B.3
  • 3
    • 40649114815 scopus 로고    scopus 로고
    • Intelligent Information: A national system for monitoring clinical performance
    • Bottle A, Aylin P. Intelligent Information: a national system for monitoring clinical performance. Health Serv Res 2008;43:10-31.
    • (2008) Health Serv Res , vol.43 , pp. 10-31
    • Bottle, A.1    Aylin, P.2
  • 4
    • 0038143360 scopus 로고    scopus 로고
    • Intensive care geneeskunde in Nederland 1997e2001. I. Patientenpopulatie en behandelresultaten [Patient populations and results of treatment]
    • De Jonge E, Bosman RJ, van der Voort PH, et al. Intensive care geneeskunde in Nederland 1997e2001. I. Patientenpopulatie en behandelresultaten [Patient populations and results of treatment]. Ned Tijdschr Geneeskd 2003;147:1013-7.
    • (2003) Ned Tijdschr Geneeskd , vol.147 , pp. 1013-1017
    • De Jonge, E.1    Bosman, R.J.2    van der Voort, P.H.3
  • 5
    • 77649147562 scopus 로고    scopus 로고
    • Obertop H. Oefening baart kunst. Gunstige effecten van ervaring op behandelresultaten [Practice makes perfect. Favourable effects of routine on results of treatment]. Ned Tijdschr Geneeskd 2004;148:1327e9.
    • Obertop H. Oefening baart kunst. Gunstige effecten van ervaring op behandelresultaten [Practice makes perfect. Favourable effects of routine on results of treatment]. Ned Tijdschr Geneeskd 2004;148:1327e9.
  • 6
    • 0141572329 scopus 로고    scopus 로고
    • Determinanten van ziekenhuissterfte bij chirurgische patienten van 80 jaar en ouder [Decisive elements of hospital mortality of surgical patients of 80 years and older]
    • Beenen E, Simons MP, Vahl AC. Determinanten van ziekenhuissterfte bij chirurgische patienten van 80 jaar en ouder [Decisive elements of hospital mortality of surgical patients of 80 years and older]. Ned Tijdschr Geneeskd 2003;147:1915-8.
    • (2003) Ned Tijdschr Geneeskd , vol.147 , pp. 1915-1918
    • Beenen, E.1    Simons, M.P.2    Vahl, A.C.3
  • 8
    • 77649085433 scopus 로고    scopus 로고
    • Hospital Standardized Mortality Ratio, accessed 9 January 2010
    • Hospital Standardized Mortality Ratio. http://nl.wikipedia.org/wiki/HSMR (accessed 9 January 2010).
  • 9
    • 77649097052 scopus 로고    scopus 로고
    • Parlando Dutch Parliament, accessed 9 January 2010
    • Parlando (Dutch Parliament). Zoekresultaat. http://parlando.sdu. nl/cgi/login/ anonymous (accessed 9 January 2010).
    • Zoekresultaat
  • 10
    • 77649105640 scopus 로고    scopus 로고
    • Elixhauser A, Andrews RM, Fox S. Clinical classifications for health policy research: discharge statistics by principal diagnosis and procedure. Provider Studies Research Note 17. Rockville, Maryland: Agency for Health Care Policy and Research, 1993. AHCPR Pub. No. 93-0043. http://www.hcup-us.ahrq.gov/toolssoftware/ccs/ ccs.jsp.
    • Elixhauser A, Andrews RM, Fox S. Clinical classifications for health policy research: discharge statistics by principal diagnosis and procedure. Provider Studies Research Note 17. Rockville, Maryland: Agency for Health Care Policy and Research, 1993. AHCPR Pub. No. 93-0043. http://www.hcup-us.ahrq.gov/toolssoftware/ccs/ ccs.jsp.
  • 12
    • 16844363244 scopus 로고    scopus 로고
    • Funnel plots for comparing institutional performance
    • Spiegelhalter D. Funnel plots for comparing institutional performance. Stat Med 2005;24:1185-202.
    • (2005) Stat Med , vol.24 , pp. 1185-1202
    • Spiegelhalter, D.1
  • 13
    • 0034681781 scopus 로고    scopus 로고
    • Mortality rates after surgery for congenital heart defects in children and surgeon's performance
    • Stark J, Galliavan S, Lovegrove J, et al. Mortality rates after surgery for congenital heart defects in children and surgeon's performance. Lancet 2000;355:1004-7.
    • (2000) Lancet , vol.355 , pp. 1004-1007
    • Stark, J.1    Galliavan, S.2    Lovegrove, J.3
  • 14
    • 0036905448 scopus 로고    scopus 로고
    • Funnel plots for institutional comparison
    • Spiegelhalter D. Funnel plots for institutional comparison. Qual Saf Health Care 2002;11;390-1.
    • (2002) Qual Saf Health Care , vol.11 , pp. 390-391
    • Spiegelhalter, D.1
  • 15
    • 0023092594 scopus 로고
    • A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
    • Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. Journal of Chronic Diseases 1987;40:373-83.
    • (1987) Journal of Chronic Diseases , vol.40 , pp. 373-383
    • Charlson, M.E.1    Pompei, P.2    Ales, K.L.3
  • 16
    • 34249341210 scopus 로고    scopus 로고
    • Use of administrative data or clinical databases as predictors of risk of death in hospital: Comparison of models
    • Aylin P, Bottle A, Majeed A. Use of administrative data or clinical databases as predictors of risk of death in hospital: comparison of models. BMJ 2007; 334:1044.
    • (2007) BMJ , vol.334 , pp. 1044
    • Aylin, P.1    Bottle, A.2    Majeed, A.3
  • 17
    • 0036274794 scopus 로고    scopus 로고
    • The Surgical Risk Scale as an improved tool for risk-adjusted analysis in comparative surgical audit
    • Sutton R, Bann S, Brooks M, et al. The Surgical Risk Scale as an improved tool for risk-adjusted analysis in comparative surgical audit. British Journal of Surgery 2002;89:763-8.
    • (2002) British Journal of Surgery , vol.89 , pp. 763-768
    • Sutton, R.1    Bann, S.2    Brooks, M.3
  • 18
    • 0036383276 scopus 로고    scopus 로고
    • Consensus based method for risk adjustment for surgery for congenital heart disease
    • Jenkins J, Gauvrau K, Newburger J, et al. Consensus based method for risk adjustment for surgery for congenital heart disease. J Thorac Cardiovasc Surg 2002;123:110-18.
    • (2002) J Thorac Cardiovasc Surg , vol.123 , pp. 110-118
    • Jenkins, J.1    Gauvrau, K.2    Newburger, J.3
  • 19
    • 0030666228 scopus 로고    scopus 로고
    • The risks of risk adjustment
    • Iezzoni LI. The risks of risk adjustment. JAMA 1997;278:1600-7.
    • (1997) JAMA , vol.278 , pp. 1600-1607
    • Iezzoni, L.I.1
  • 20
    • 53149138995 scopus 로고    scopus 로고
    • Do hospital standardised mortality ratios measure patient safety? HSMRs in the Winnipeg Regional Health Authority
    • Penfold RB, Dean S, Flemons W, et al. Do hospital standardised mortality ratios measure patient safety? HSMRs in the Winnipeg Regional Health Authority. Healthc Pap 2008;8:8-24.
    • (2008) Healthc Pap , vol.8 , pp. 8-24
    • Penfold, R.B.1    Dean, S.2    Flemons, W.3
  • 21
    • 66749157143 scopus 로고    scopus 로고
    • Measuring the quality of hospital care
    • Wright J, Shojania KG. Measuring the quality of hospital care. BMJ 2009;338:b569.
    • (2009) BMJ , vol.338
    • Wright, J.1    Shojania, K.G.2
  • 22
    • 84858996826 scopus 로고    scopus 로고
    • Measuring quality
    • Godlee F. Measuring quality. BMJ 2009;338:b1356.
    • (2009) BMJ , vol.338
    • Godlee, F.1
  • 23
    • 35648952885 scopus 로고    scopus 로고
    • Case-mix adjustment in non-randomised observational evaluations: The constant risk fallacy
    • Nicholl J. Case-mix adjustment in non-randomised observational evaluations: the constant risk fallacy. J Epidemiol Community Health 2007;61:1010-13.
    • (2007) J Epidemiol Community Health , vol.61 , pp. 1010-1013
    • Nicholl, J.1
  • 24
    • 66849101464 scopus 로고    scopus 로고
    • Evidence of methodological bias in hospital standardised mortality ratios: Retrospective database study of English hospitals
    • 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.
    • (2009) BMJ , vol.338
    • Mohammed, M.A.1    Deeks, J.J.2    Girling, A.3
  • 25
    • 43149121800 scopus 로고    scopus 로고
    • Measuring and explaining mortality in Dutch hospitals; the hospital standardised mortality rate between 2003 and 2005
    • Heijink R, Koolman X, Pieter D, et al. Measuring and explaining mortality in Dutch hospitals; the hospital standardised mortality rate between 2003 and 2005. BMC Health Serv Res 2008;8:73.
    • (2008) BMC Health Serv Res , vol.8 , pp. 73
    • Heijink, R.1    Koolman, X.2    Pieter, D.3
  • 26
    • 77649145754 scopus 로고    scopus 로고
    • Dutch health care performance report 2008
    • Westert GP, van den Berg MJ, Koolman X, et al, eds
    • Westert GP, van den Berg MJ, Koolman X, et al, eds. Dutch health care performance report 2008. Houten: Bohn Stafleu en Van Loghum, 2008.
    • (2008) Houten: Bohn Stafleu en Van Loghum


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