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Characterisations of adverse events detected in a university hospital: a 4-year study using the Global Trigger Tool method

OBJECTIVES: To describe the level, preventability and categories of adverse events (AEs) identified by medical record review using the Global Trigger Tool (GTT). To estimate when the AE occurred in the course of the hospital stay and to compare voluntary AE reporting with medical record reviewing. D...

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Autores principales: Rutberg, Hans, Borgstedt Risberg, Madeleine, Sjödahl, Rune, Nordqvist, Pernilla, Valter, Lars, Nilsson, Lena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039822/
https://www.ncbi.nlm.nih.gov/pubmed/24871538
http://dx.doi.org/10.1136/bmjopen-2014-004879
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author Rutberg, Hans
Borgstedt Risberg, Madeleine
Sjödahl, Rune
Nordqvist, Pernilla
Valter, Lars
Nilsson, Lena
author_facet Rutberg, Hans
Borgstedt Risberg, Madeleine
Sjödahl, Rune
Nordqvist, Pernilla
Valter, Lars
Nilsson, Lena
author_sort Rutberg, Hans
collection PubMed
description OBJECTIVES: To describe the level, preventability and categories of adverse events (AEs) identified by medical record review using the Global Trigger Tool (GTT). To estimate when the AE occurred in the course of the hospital stay and to compare voluntary AE reporting with medical record reviewing. DESIGN: Two-stage retrospective record review. SETTING: 650-bed university hospital. PARTICIPANTS: 20 randomly selected medical records were reviewed every month from 2009 to 2012. PRIMARY AND SECONDARY OUTCOME MEASURES: AE/1000 patient-days. Proportion of AEs found by GTT found also in the voluntary reporting system. AE categorisation. Description of when during hospital stay AEs occur. RESULTS: A total of 271 AEs were detected in the 960 medical records reviewed, corresponding to 33.2 AEs/1000 patient-days or 20.5% of the patients. Of the AEs, 6.3% were reported in the voluntary AE reporting system. Hospital-acquired infections were the most common AE category. The AEs occurred and were detected during the hospital stay in 65.5% of cases; the rest occurred or were detected within 30 days before or after the hospital stay. The AE usually occurred early during the hospital stay, and the hospital stay was 5 days longer on average for patients with an AE. CONCLUSIONS: Record reviewing identified AEs to a much larger extent than voluntary AE reporting. Healthcare organisations should consider using a portfolio of tools to gain a comprehensive picture of AEs. Substantial costs could be saved if AEs were prevented.
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spelling pubmed-40398222014-06-02 Characterisations of adverse events detected in a university hospital: a 4-year study using the Global Trigger Tool method Rutberg, Hans Borgstedt Risberg, Madeleine Sjödahl, Rune Nordqvist, Pernilla Valter, Lars Nilsson, Lena BMJ Open Medical Management OBJECTIVES: To describe the level, preventability and categories of adverse events (AEs) identified by medical record review using the Global Trigger Tool (GTT). To estimate when the AE occurred in the course of the hospital stay and to compare voluntary AE reporting with medical record reviewing. DESIGN: Two-stage retrospective record review. SETTING: 650-bed university hospital. PARTICIPANTS: 20 randomly selected medical records were reviewed every month from 2009 to 2012. PRIMARY AND SECONDARY OUTCOME MEASURES: AE/1000 patient-days. Proportion of AEs found by GTT found also in the voluntary reporting system. AE categorisation. Description of when during hospital stay AEs occur. RESULTS: A total of 271 AEs were detected in the 960 medical records reviewed, corresponding to 33.2 AEs/1000 patient-days or 20.5% of the patients. Of the AEs, 6.3% were reported in the voluntary AE reporting system. Hospital-acquired infections were the most common AE category. The AEs occurred and were detected during the hospital stay in 65.5% of cases; the rest occurred or were detected within 30 days before or after the hospital stay. The AE usually occurred early during the hospital stay, and the hospital stay was 5 days longer on average for patients with an AE. CONCLUSIONS: Record reviewing identified AEs to a much larger extent than voluntary AE reporting. Healthcare organisations should consider using a portfolio of tools to gain a comprehensive picture of AEs. Substantial costs could be saved if AEs were prevented. BMJ Publishing Group 2014-05-28 /pmc/articles/PMC4039822/ /pubmed/24871538 http://dx.doi.org/10.1136/bmjopen-2014-004879 Text en 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 This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 3.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/3.0/
spellingShingle Medical Management
Rutberg, Hans
Borgstedt Risberg, Madeleine
Sjödahl, Rune
Nordqvist, Pernilla
Valter, Lars
Nilsson, Lena
Characterisations of adverse events detected in a university hospital: a 4-year study using the Global Trigger Tool method
title Characterisations of adverse events detected in a university hospital: a 4-year study using the Global Trigger Tool method
title_full Characterisations of adverse events detected in a university hospital: a 4-year study using the Global Trigger Tool method
title_fullStr Characterisations of adverse events detected in a university hospital: a 4-year study using the Global Trigger Tool method
title_full_unstemmed Characterisations of adverse events detected in a university hospital: a 4-year study using the Global Trigger Tool method
title_short Characterisations of adverse events detected in a university hospital: a 4-year study using the Global Trigger Tool method
title_sort characterisations of adverse events detected in a university hospital: a 4-year study using the global trigger tool method
topic Medical Management
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039822/
https://www.ncbi.nlm.nih.gov/pubmed/24871538
http://dx.doi.org/10.1136/bmjopen-2014-004879
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