Literature DB >> 27927816

Learning from hospital mortality.

Kevin Stewart1, Mohsin I Choudry2, Rhona Buckingham3.   

Abstract

Understanding and learning from hospital deaths is an important component of good clinical practice but current approaches and measures are complex, controversial and difficult to understand. Patients who die are not a homogeneous group but fall into three distinct categories; most learning will be achieved by recognising this and investigating categories of deaths in different ways, relying heavily on qualitative approaches. Numerical measures of overall hospital mortality, such as hospital standardised mortality ratio (HSMR) or measures of 'preventable' deaths, are most unlikely to be helpful at a hospital level and may even give false reassurance, as accuracy of measurement is strongly influenced by factors apart from quality of care. © Royal College of Physicians 2016. All rights reserved.

Entities:  

Keywords:  Care record review; death; hospital; mortality; quality improvement

Mesh:

Year:  2016        PMID: 27927816      PMCID: PMC6297330          DOI: 10.7861/clinmedicine.16-6-530

Source DB:  PubMed          Journal:  Clin Med (Lond)        ISSN: 1470-2118            Impact factor:   2.659


  3 in total

1.  How do time trends in inhospital mortality compare? A retrospective study of England and Scotland over 17 years using administrative data.

Authors:  María José Aragón; Martin Chalkley
Journal:  BMJ Open       Date:  2018-02-21       Impact factor: 2.692

2.  Competing risk survival analysis of time to in-hospital death or discharge in a large urban neonatal unit in Kenya.

Authors:  Jalemba Aluvaala; Gary S Collins; Beth Maina; Catherine Mutinda; Mary Wayiego; James A Berkley; Mike English
Journal:  Wellcome Open Res       Date:  2019-06-17

3.  Multimorbidity gender patterns in hospitalized elderly patients.

Authors:  Pere Almagro; Ana Ponce; Shakeel Komal; Maria de la Asunción Villaverde; Cristina Castrillo; Gemma Grau; Lluis Simon; Alex de la Sierra
Journal:  PLoS One       Date:  2020-01-28       Impact factor: 3.240

  3 in total

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