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Exploring patterns of error in acute care using framework analysis

BACKGROUND: Junior doctors are often the first responders to deteriorating patients in hospital. In the high-stakes and time-pressured context of acute care, the propensity for error is high. This study aimed to identify the main subject areas in which junior doctors’ acute care errors occur, and cr...

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Autores principales: Tallentire, Victoria R, Smith, Samantha E, Skinner, Janet, Cameron, Helen S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352279/
https://www.ncbi.nlm.nih.gov/pubmed/25592440
http://dx.doi.org/10.1186/s12909-015-0285-6
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author Tallentire, Victoria R
Smith, Samantha E
Skinner, Janet
Cameron, Helen S
author_facet Tallentire, Victoria R
Smith, Samantha E
Skinner, Janet
Cameron, Helen S
author_sort Tallentire, Victoria R
collection PubMed
description BACKGROUND: Junior doctors are often the first responders to deteriorating patients in hospital. In the high-stakes and time-pressured context of acute care, the propensity for error is high. This study aimed to identify the main subject areas in which junior doctors’ acute care errors occur, and cross-reference the errors with Reason’s Generic Error Modelling System (GEMS). GEMS categorises errors according to the underlying cognitive processes, and thus provides insight into the causative factors. The overall aim of this study was to identify patterns in junior doctors’ acute care errors in order to enhance understanding and guide the development of educational strategies. METHODS: This observational study utilised simulated acute care scenarios involving junior doctors dealing with a range of emergencies. Scenarios and the subsequent debriefs were video-recorded. Framework analysis was used to categorise the errors according to eight inductively-developed key subject areas. Subsequently, a multi-dimensional analysis was performed which cross-referenced the key subject areas with an earlier categorisation of the same errors using GEMS. The numbers of errors in each category were used to identify patterns of error. RESULTS: Eight key subject areas were identified; hospital systems, prioritisation, treatment, ethical principles, procedural skills, communication, situation awareness and infection control. There was a predominance of rule-based mistakes in relation to the key subject areas of hospital systems, prioritisation, treatment and ethical principles. In contrast, procedural skills, communication and situation awareness were more closely associated with skill-based slips and lapses. Knowledge-based mistakes were less frequent but occurred in relation to hospital systems and procedural skills. CONCLUSIONS: In order to improve the management of acutely unwell patients by junior doctors, medical educators must understand the causes of common errors. Adequate knowledge alone does not ensure prompt and appropriate management and referral. The teaching of acute care skills may be enhanced by encouraging medical educators to consider the range of potential error types, and their relationships to particular tasks and subjects. Rule-based mistakes may be amenable to simulation-based training, whereas skill-based slips and lapses may be reduced using strategies designed to raise awareness of the interplay between emotion, cognition and behaviour.
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spelling pubmed-43522792015-03-08 Exploring patterns of error in acute care using framework analysis Tallentire, Victoria R Smith, Samantha E Skinner, Janet Cameron, Helen S BMC Med Educ Research Article BACKGROUND: Junior doctors are often the first responders to deteriorating patients in hospital. In the high-stakes and time-pressured context of acute care, the propensity for error is high. This study aimed to identify the main subject areas in which junior doctors’ acute care errors occur, and cross-reference the errors with Reason’s Generic Error Modelling System (GEMS). GEMS categorises errors according to the underlying cognitive processes, and thus provides insight into the causative factors. The overall aim of this study was to identify patterns in junior doctors’ acute care errors in order to enhance understanding and guide the development of educational strategies. METHODS: This observational study utilised simulated acute care scenarios involving junior doctors dealing with a range of emergencies. Scenarios and the subsequent debriefs were video-recorded. Framework analysis was used to categorise the errors according to eight inductively-developed key subject areas. Subsequently, a multi-dimensional analysis was performed which cross-referenced the key subject areas with an earlier categorisation of the same errors using GEMS. The numbers of errors in each category were used to identify patterns of error. RESULTS: Eight key subject areas were identified; hospital systems, prioritisation, treatment, ethical principles, procedural skills, communication, situation awareness and infection control. There was a predominance of rule-based mistakes in relation to the key subject areas of hospital systems, prioritisation, treatment and ethical principles. In contrast, procedural skills, communication and situation awareness were more closely associated with skill-based slips and lapses. Knowledge-based mistakes were less frequent but occurred in relation to hospital systems and procedural skills. CONCLUSIONS: In order to improve the management of acutely unwell patients by junior doctors, medical educators must understand the causes of common errors. Adequate knowledge alone does not ensure prompt and appropriate management and referral. The teaching of acute care skills may be enhanced by encouraging medical educators to consider the range of potential error types, and their relationships to particular tasks and subjects. Rule-based mistakes may be amenable to simulation-based training, whereas skill-based slips and lapses may be reduced using strategies designed to raise awareness of the interplay between emotion, cognition and behaviour. BioMed Central 2015-01-16 /pmc/articles/PMC4352279/ /pubmed/25592440 http://dx.doi.org/10.1186/s12909-015-0285-6 Text en © Tallentire et al.; licensee BioMed Central. 2015 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Tallentire, Victoria R
Smith, Samantha E
Skinner, Janet
Cameron, Helen S
Exploring patterns of error in acute care using framework analysis
title Exploring patterns of error in acute care using framework analysis
title_full Exploring patterns of error in acute care using framework analysis
title_fullStr Exploring patterns of error in acute care using framework analysis
title_full_unstemmed Exploring patterns of error in acute care using framework analysis
title_short Exploring patterns of error in acute care using framework analysis
title_sort exploring patterns of error in acute care using framework analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352279/
https://www.ncbi.nlm.nih.gov/pubmed/25592440
http://dx.doi.org/10.1186/s12909-015-0285-6
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