Literature DB >> 24781159

Learning from preventable deaths: exploring case record reviewers' narratives using change analysis.

Helen Hogan1, Frances Healey2, Graham Neale3, Richard Thomson4, Nick Black5, Charles Vincent6.   

Abstract

OBJECTIVE: To determine if applying change analysis to the narrative reports made by reviewers of hospital deaths increases the utility of this information in the systematic analysis of patient harm.
DESIGN: Qualitative analysis of causes and contributory factors underlying patient harm in 52 case narratives linked to preventable deaths derived from a retrospective case record review of 1000 deaths in acute National Health Service Trusts in 2009. PARTICIPANTS: 52 preventable hospital deaths.
SETTING: England. MAIN OUTCOME MEASURES: The nature of problems in care and contributory factors underlying avoidable deaths in hospital.
RESULTS: The change analysis approach enabled explicit characterisation of multiple problems in care, both across the admission and also at the boundary between primary and secondary care, and illuminated how these problems accumulate to cause harm. It demonstrated links between problems and underlying contributory factors and highlighted other threats to quality of care such as standards of end of life management. The method was straightforward to apply to multiple records and achieved good inter-rater reliability.
CONCLUSION: Analysis of case narratives using change analysis provided a richer picture of healthcare-related harm than the traditional approach, unpacking the nature of the problems, particularly by delineating omissions from acts of commission, thus facilitating more tailored responses to patient harm. © The Royal Society of Medicine.

Entities:  

Keywords:  content analysis; mortality review; narrative accounts; preventable death; problems in care

Mesh:

Year:  2014        PMID: 24781159      PMCID: PMC4206622          DOI: 10.1177/0141076814532394

Source DB:  PubMed          Journal:  J R Soc Med        ISSN: 0141-0768            Impact factor:   5.344


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