Literature DB >> 24064042

What do hospital mortality rates tell us about quality of care?

Steve Goodacre1, Mike Campbell1, Angela Carter2.   

Abstract

Hospital mortality rates could be useful indicators of quality of care, but careful statistical analysis is required to avoid erroneously attributing variation in mortality to differences in health care when it is actually due to differences in case mix. The summary hospital mortality indicator is currently used by the English National Health Service (NHS). It adjusts mortality rates up to 30 days after discharge for patient age, sex, type of admission, year of discharge, comorbidity, deprivation and diagnosis. Such risk-adjustment methods have been used to identify poor performance, most notably at mid-Staffordshire NHS Foundation Trust, but their use is subject to a number of limitations. Studies exploring whether variation in risk-adjusted mortality can be explained by variation in healthcare have reached conflicting conclusions. Furthermore, concerns have been raised that the proportion of preventable deaths among hospital admissions is too small to produce a reliable 'signal' in risk-adjusted mortality rates. This provides hospital managers, regulators and clinicians with a considerable dilemma. Variation in mortality rates cannot be ignored, as they might indicate unacceptable variation in healthcare and avoidable mortality, but they also cannot be reliably used to judge the quality of healthcare, based on current evidence. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  audit; comparitive system research; emergency care systems; quality assurance; research, methods

Mesh:

Year:  2013        PMID: 24064042     DOI: 10.1136/emermed-2013-203022

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  9 in total

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2.  Investigating the relationship between quality of primary care and premature mortality in England: a spatial whole-population study.

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Journal:  BMJ       Date:  2015-03-02

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5.  Canadian in-hospital mortality for patients with emergency-sensitive conditions: a retrospective cohort study.

Authors:  Simon Berthelot; Eddy S Lang; Hude Quan; Henry T Stelfox
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Authors:  Nisha Kurian; Jyotsna Maid; Sharoni Mitra; Lance Rhyne; Michael Korvink; Laura H Gunn
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7.  Relationships between multiple patient safety outcomes and healthcare and hospital-related risk factors in colorectal resection cases: cross-sectional evidence from a nationwide sample of 232 German hospitals.

Authors:  Felix Walther; Jochen Schmitt; Maria Eberlein-Gonska; Ralf Kuhlen; Peter Scriba; Olaf Schoffer; Martin Roessler
Journal:  BMJ Open       Date:  2022-07-25       Impact factor: 3.006

8.  The impact of hospital support function centralization on patient outcomes: A before-after study.

Authors:  Adrien Le Guillou; Jan Chrusciel; Stephane Sanchez
Journal:  Public Health Pract (Oxf)       Date:  2021-08-06

9.  Standardised mortality ratios as a user-friendly performance metric and trigger for quality improvement in a Flemish hospital network: multicentre retrospective study.

Authors:  Wim Tambeur; Pieter Stijnen; Guy Vanden Boer; Pieter Maertens; Caroline Weltens; Frank Rademakers; Dirk De Ridder; Kris Vanhaecht; Luk Bruyneel
Journal:  BMJ Open       Date:  2019-09-08       Impact factor: 2.692

  9 in total

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