Literature DB >> 16134437

Assessing mortality rates from dubious data--when to stop doing statistics and start doing mathematics.

Steve Gallivan1.   

Abstract

When trying to assess surgical outcomes at a particular centre, it is important to take account of case mix in terms of the types of operation performed. This is because those centres that undertake a disproportionately high number of complex operations might well be expected to have higher mortality rates than other centres whose case mix is more routine. From a statistical viewpoint, such case-mix adjustment is relatively straightforward if there are reliable risk estimates for different operation types. However this may not be the case and the risk estimates may have to be derived from several different sources which may not themselves be in agreement. Here, standard case-mix adjustment methods are no longer applicable and alternative analysis methods need to be used to make use of such unreliable risk estimates.

Mesh:

Year:  2005        PMID: 16134437     DOI: 10.1007/s10729-005-2015-9

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  3 in total

1.  Likely variations in perioperative mortality associated with cardiac surgery: when does high mortality reflect bad practice?

Authors:  C Sherlaw-Johnson; J Lovegrove; T Treasure; S Gallivan
Journal:  Heart       Date:  2000-07       Impact factor: 5.994

2.  Surgical performance measurement.

Authors:  Tom Treasure; Oswaldo Valencia; Chris Sherlaw-Johnson; Steve Gallivan
Journal:  Health Care Manag Sci       Date:  2002-11

3.  Monitoring the results of cardiac surgery by variable life-adjusted display.

Authors:  J Lovegrove; O Valencia; T Treasure; C Sherlaw-Johnson; S Gallivan
Journal:  Lancet       Date:  1997-10-18       Impact factor: 79.321

  3 in total
  2 in total

1.  Challenging the role of calibration, validation and sensitivity analysis in relation to models of health care processes.

Authors:  Steve Gallivan
Journal:  Health Care Manag Sci       Date:  2008-06

2.  Modelling of errors in databases.

Authors:  Steve Gallivan; Christina Pagel
Journal:  Health Care Manag Sci       Date:  2008-03
  2 in total

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