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Volumn 344, Issue 7848, 2012, Pages

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

Author keywords

[No Author keywords available]

Indexed keywords

AGE; ANALYTIC METHOD; ARTICLE; COMORBIDITY; CROSS-SECTIONAL STUDY; EMERGENCY CARE; FEMALE; GENDER; HEALTH CARE FACILITY; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HUMAN; MALE; MORTALITY; PRIORITY JOURNAL; REPRODUCIBILITY; RETROSPECTIVE STUDY; SENSITIVITY ANALYSIS; SEX DIFFERENCE; STATISTICAL ANALYSIS; SUMMARY HOSPITAL MORTALITY INDEX; UNITED KINGDOM; ADOLESCENT; ADULT; AGED; CHILD; EMERGENCY HEALTH SERVICE; HEALTH CARE QUALITY; HOSPITAL; HOSPITALIZATION; INFANT; MIDDLE AGED; OUTCOME ASSESSMENT; PRESCHOOL CHILD; SEX RATIO; STANDARD; STATISTICAL MODEL; STATISTICS;

EID: 84858411024     PISSN: 09598146     EISSN: 17561833     Source Type: Journal    
DOI: 10.1136/bmj.e1001     Document Type: Article
Times cited : (69)

References (23)
  • 1
    • 84858427389 scopus 로고    scopus 로고
    • Department of Health
    • The national end of life care intelligence network, Department of Health, 2011. www.endoflifecare-intelligence.org.uk/profiles/2/Place-of-Death/atlas. html.
    • (2011)
  • 4
    • 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, Rudge G, Carmalt M, Stevens AJ, 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    Rudge, G.4    Carmalt, M.5    Stevens, A.J.6
  • 5
    • 77951726625 scopus 로고    scopus 로고
    • Patient coding and the ratings game
    • Hawkes N. Patient coding and the ratings game. BMJ 2010;340:c2153.
    • (2010) BMJ , vol.340
    • Hawkes, N.1
  • 6
    • 34447527173 scopus 로고    scopus 로고
    • What is the empirical evidence that hospitals with higher-risk adjusted mortality rates provide poorer quality care? A systematic review of the literature
    • Pitches D, Mohammed M, Lilford R. What is the empirical evidence that hospitals with higher-risk adjusted mortality rates provide poorer quality care? A systematic review of the literature. BMC Health Serv Res 2007;7:91.
    • (2007) BMC Health Serv Res , vol.7 , pp. 91
    • Pitches, D.1    Mohammed, M.2    Lilford, R.3
  • 7
    • 77951701721 scopus 로고    scopus 로고
    • Using hospital mortality rates to judge hospital performance: A bad idea that just won't go away
    • Lilford R, Pronovost P. Using hospital mortality rates to judge hospital performance: a bad idea that just won't go away. BMJ 2010;340.c2016.
    • (2010) BMJ , vol.340
    • Lilford, R.1    Pronovost, P.2
  • 10
    • 0023092594 scopus 로고
    • A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
    • DOI 10.1016/0021-9681(87)90171-8
    • Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40:373-83. (Pubitemid 17055592)
    • (1987) Journal of Chronic Diseases , vol.40 , Issue.5 , pp. 373-383
    • Charlson, M.E.1    Pompei, P.2    Ales, K.A.3    MacKenzie, C.R.4
  • 12
    • 21044431894 scopus 로고    scopus 로고
    • Creative use of existing clinical and health outcomes data to assess NHS performance in England: Part 1 - Performance indicators closely linked to clinical care
    • Lakhani A, Coles J, Eayres D, Spence C, Rachet B. Creative use of existing clinical and health outcomes data to assess NHS performance in England: part 1 - performance indicators closely linked to clinical care. BMJ 2005;330:1426-31. (Pubitemid 40874125)
    • (2005) British Medical Journal , vol.330 , Issue.7505 , pp. 1426-1431
    • Lakhani, A.1    Coles, J.2    Eayres, D.3    Spence, C.4    Rachet, B.5
  • 13
    • 63449114195 scopus 로고    scopus 로고
    • Standardisation of rates using logistic regression: A comparison with the direct method
    • Roalfe A, Holder R, Wilson S. Standardisation of rates using logistic regression: a comparison with the direct method. BMC Health Serv Res 2008;8:275.
    • (2008) BMC Health Serv Res , vol.8 , pp. 275
    • Roalfe, A.1    Holder, R.2    Wilson, S.3
  • 14
    • 79952238766 scopus 로고    scopus 로고
    • Strengths and weaknesses of hospital standardised mortality ratios
    • Bottle A, Jarman B, Aylin P. Strengths and weaknesses of hospital standardised mortality ratios. BMJ 2011;342:c7116.
    • (2011) BMJ , vol.342
    • Bottle, A.1    Jarman, B.2    Aylin, P.3
  • 15
    • 16844363244 scopus 로고    scopus 로고
    • Funnel plots for comparing institutional performance
    • DOI 10.1002/sim.1970
    • Spiegelhalter DJ. Funnel plots for comparing institutional performance. Stat Med 2005;24:1185-202. (Pubitemid 40485757)
    • (2005) Statistics in Medicine , vol.24 , Issue.8 , pp. 1185-1202
    • Spiegelhalter, D.J.1
  • 16
    • 27144513474 scopus 로고    scopus 로고
    • Handling over-dispersion of performance indicators
    • DOI 10.1136/qshc.2005.013755
    • Spiegelhalter DJ. Handling over-dispersion of performance indicators. Qual Safety Health Care 2005;14:347-51. (Pubitemid 41495121)
    • (2005) Quality and Safety in Health Care , vol.14 , Issue.5 , pp. 347-351
    • Spiegelhalter, D.J.1
  • 18
    • 0042858411 scopus 로고    scopus 로고
    • Improved comorbidity adjustment for predicting mortality in medicare populations
    • Schneeweiss S, Wang P, Avorn J, Glynn R. Improved comorbidity adjustment for predicting mortality in medicare populations. Health Serv Res 2003;38:27.
    • (2003) Health Serv Res , vol.38 , pp. 27
    • Schneeweiss, S.1    Wang, P.2    Avorn, J.3    Glynn, R.4
  • 19
    • 79956217851 scopus 로고    scopus 로고
    • A combined comorbidity score predicted mortality in elderly patients better than existing scores
    • Gagne JJ, Glynn RJ, Avorn J, Levin R, Schneeweiss S. A combined comorbidity score predicted mortality in elderly patients better than existing scores. J Clin Epidemiol 2011;64:749-59.
    • (2011) J Clin Epidemiol , vol.64 , pp. 749-759
    • Gagne, J.J.1    Glynn, R.J.2    Avorn, J.3    Levin, R.4    Schneeweiss, S.5
  • 20
    • 79954586808 scopus 로고    scopus 로고
    • Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries
    • Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, et al. Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol 2011;173:676-82.
    • (2011) Am J Epidemiol , vol.173 , pp. 676-682
    • Quan, H.1    Li, B.2    Couris, C.M.3    Fushimi, K.4    Graham, P.5    Hider, P.6
  • 22
    • 35648952885 scopus 로고    scopus 로고
    • Case-mix adjustment in non-randomised observational evaluations: The constant risk fallacy
    • DOI 10.1136/jech.2007.061747
    • Nicholl J. Case-mix adjustment in non-randomised observational evaluations: the constant risk fallacy. J Epidemiol Community Health 2007;61:1010-3. (Pubitemid 350032599)
    • (2007) Journal of Epidemiology and Community Health , vol.61 , Issue.11 , pp. 1010-1013
    • Nicholl, J.1
  • 23
    • 0035085743 scopus 로고    scopus 로고
    • Why do we continue to use standardized mortality ratios for small area comparisons?
    • DOI 10.1093/pubmed/23.1.40
    • Julious S, Nicholl J, George S. Why do we continue to use standardized mortality ratios for small area comparisons? J Public Health 2001;23:40-6. (Pubitemid 32246300)
    • (2001) Journal of Public Health Medicine , vol.23 , Issue.1 , pp. 40-46
    • Julious, S.A.1    Nicholl, J.2    George, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.