Literature DB >> 21477429

Hospital mortality under surgical care.

O Aziz1, D Fink, L Hobbs, G Williams, T C Holme.   

Abstract

INTRODUCTION: The 'hospital standardised mortality ratio' (HSMR) has been used in England since 1999 to measure NHS hospital performance. Large variations in reported HSMR between English hospitals have recently led to heavy criticism of their use as a surrogate measure of hospital performance. This paper aims to review the mortality data for a consultant general surgeon contributed by his NHS trust over a 3-year period as part of the trust's HSMR calculation and evaluate the accuracy of coding the diagnoses and covariates for case mix adjustment. SUBJECTS AND METHODS: The Dr Foster Intelligence database was interrogated to extract the NHS trust's HSMR benchmark data on inpatient mortality for the surgeon from 1 April 2006 to 31 March 2009 and compared to the hospital notes.
RESULTS: 30 patients were identified of whom 12 had no evidence of being managed by the surgeon. This represents a potential 40% inaccuracy rate in designating consultant responsibility. The remaining 18 patients could be separated into 'operative' (11 patients) and 'non-operative' (7 patients) groups. Only 27% in the operative group and 43% of the non-operative mortality group respectively had a Charlson co-morbidity index recorded despite 94% of the cases having significant co-morbidities
CONCLUSIONS: Highlighting crude and inaccurate clinician-specific mortality data when only 1-5% of deaths under surgical care may be associated with avoidable adverse events seems potentially irresponsible.

Entities:  

Mesh:

Year:  2011        PMID: 21477429      PMCID: PMC3291133          DOI: 10.1308/003588411X563411

Source DB:  PubMed          Journal:  Ann R Coll Surg Engl        ISSN: 0035-8843            Impact factor:   1.891


  10 in total

1.  Explaining differences in English hospital death rates using routinely collected data.

Authors:  B Jarman; S Gault; B Alves; A Hider; S Dolan; A Cook; B Hurwitz; L I Iezzoni
Journal:  BMJ       Date:  1999-06-05

2.  Patient coding and the ratings game.

Authors:  Nigel Hawkes
Journal:  BMJ       Date:  2010-04-23

3.  Using hospital mortality rates to judge hospital performance: a bad idea that just won't go away.

Authors:  Richard Lilford; Peter Pronovost
Journal:  BMJ       Date:  2010-04-20

4.  Assessing the quality of hospitals.

Authors:  Nick Black
Journal:  BMJ       Date:  2010-04-20

5.  Intelligent information: a national system for monitoring clinical performance.

Authors:  Alex Bottle; Paul Aylin
Journal:  Health Serv Res       Date:  2008-02       Impact factor: 3.402

6.  Variation in hospital mortality associated with inpatient surgery.

Authors:  Amir A Ghaferi; John D Birkmeyer; Justin B Dimick
Journal:  N Engl J Med       Date:  2009-10-01       Impact factor: 91.245

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

Authors:  B Jarman; D Pieter; A A van der Veen; R B Kool; P Aylin; A Bottle; G P Westert; S Jones
Journal:  Qual Saf Health Care       Date:  2010-02

8.  Predictive validity of Waterlow Scale for pressure ulcer development risk in hospitalized patients.

Authors:  Letícia Faria Serpa; Vera Lúcia Conceição de Gouveia Santos; Gustavo Gomboski; Sandra Marina Rosado
Journal:  J Wound Ostomy Continence Nurs       Date:  2009 Nov-Dec       Impact factor: 1.741

9.  Comparison of hospital episode statistics and central cardiac audit database in public reporting of congenital heart surgery mortality.

Authors:  Stephen Westaby; Nicholas Archer; Nicola Manning; Satish Adwani; Catherine Grebenik; Oliver Ormerod; Ravi Pillai; Neil Wilson
Journal:  BMJ       Date:  2007-09-20

10.  Evidence of methodological bias in hospital standardised mortality ratios: retrospective database study of English hospitals.

Authors:  Mohammed A Mohammed; Jonathan J Deeks; Alan Girling; Gavin Rudge; Martin Carmalt; Andrew J Stevens; Richard J Lilford
Journal:  BMJ       Date:  2009-03-18
  10 in total
  4 in total

1.  Analysis of Surgical Mortalities Using the Fishbone Model for Quality Improvement in Surgical Disciplines.

Authors:  M S Moeng; T E Luvhengo
Journal:  World J Surg       Date:  2022-02-04       Impact factor: 3.352

2.  Specifying the probability characteristics of funnel plot control limits: an investigation of three approaches.

Authors:  Bradley N Manktelow; Sarah E Seaton
Journal:  PLoS One       Date:  2012-09-20       Impact factor: 3.240

3.  Can Waterlow score predict 30-day mortality and length of stay in acutely admitted medical patients (aged ≥65 years)? Evidence from a single centre prospective cohort study.

Authors:  James Wei Wang; Phillip Smith; Shah-Jalal Sarker; Sophie Elands; Amelia Oliveira; Claire Barratt; Chris Thorn; Tom Holme; Mary Lynch
Journal:  BMJ Open       Date:  2019-11-14       Impact factor: 2.692

4.  The Waterlow score for risk assessment in surgical patients.

Authors:  C C Thorn; M Smith; O Aziz; T C Holme
Journal:  Ann R Coll Surg Engl       Date:  2013-01       Impact factor: 1.891

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.