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A Trigger-Tool-based Description of Adverse Events in Helicopter Emergency Medical Services in Qatar

Introduction Adverse Events (AEs) in Helicopter Emergency Medical Services (HEMS) remains poorly reported, despite the potential for harm to occur. The Trigger Tool (TT) represents a novel approach to AE detection in healthcare. The aim of this study was to retrospectively describe the frequency of...

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Main Author: Heuer, Calvin
Other Authors: Stassen, Willem
Format: Thesis
Language:English
Published: Division of Emergency Medicine 2022
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access_status_str Open Access
author Heuer, Calvin
author2 Stassen, Willem
author_browse Heuer, Calvin
Stassen, Willem
author_facet Stassen, Willem
Heuer, Calvin
author_sort Heuer, Calvin
collection Thesis
description Introduction Adverse Events (AEs) in Helicopter Emergency Medical Services (HEMS) remains poorly reported, despite the potential for harm to occur. The Trigger Tool (TT) represents a novel approach to AE detection in healthcare. The aim of this study was to retrospectively describe the frequency of AEs and their Proximal Causes (PCs) in Qatar HEMS. Methods Using the Pittsburgh Adverse Event Tool (PittAETool) to identify AEs in HEMS, we retrospectively analyzed 804 records within an existing AE TT database (21-month period). We calculated outcome measures for Triggers, AEs, and Harm per 100 patient encounters, plotted measures on Statistical Process Control (SPC) charts, and conducted a multivariate analysis to report harm associations. Results We identified 883 Triggers in 536 patients, with a rate of 1.1 Triggers per Patient Encounter, where 81.2% had Documentation Errors (n=436). An AE and Harm rate of 27.7% and 3.5% respectively was realized. The leading PC was Actions by HEMS Crew (81.6%; n=182). The majority of harm (57.1%) stemmed from the Intervention and Medication triggers (n=16), where Deviation from Standard of Care was common (37.9%; n=11). Age and diagnosis adjusted odds was significant in the Patient Condition (6.50; 95% CI, 1.71-24.67; P= 0.01) and Interventional (11.85; 95% CI, 1.36-102.92; P= 0.03) trigger groupings, while age and diagnosis had no effect on Harm. Conclusion The TT methodology is a robust, reliable, and valid means of AE detection in the HEMS domain. Whilst an AE rate of 27.7% is high, more research is required to understand prehospital clinical decision-making and reasons for guideline deviance. Furthermore, focused quality improvement initiatives to reduce AEs and Documentation errors should also be addressed in future research.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:35.758Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2022
publishDateRange 2022
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publisher Division of Emergency Medicine
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spelling oai:open.uct.ac.za:11427/35806 A Trigger-Tool-based Description of Adverse Events in Helicopter Emergency Medical Services in Qatar Heuer, Calvin Stassen, Willem Howard, Ian Emergency Medicine Introduction Adverse Events (AEs) in Helicopter Emergency Medical Services (HEMS) remains poorly reported, despite the potential for harm to occur. The Trigger Tool (TT) represents a novel approach to AE detection in healthcare. The aim of this study was to retrospectively describe the frequency of AEs and their Proximal Causes (PCs) in Qatar HEMS. Methods Using the Pittsburgh Adverse Event Tool (PittAETool) to identify AEs in HEMS, we retrospectively analyzed 804 records within an existing AE TT database (21-month period). We calculated outcome measures for Triggers, AEs, and Harm per 100 patient encounters, plotted measures on Statistical Process Control (SPC) charts, and conducted a multivariate analysis to report harm associations. Results We identified 883 Triggers in 536 patients, with a rate of 1.1 Triggers per Patient Encounter, where 81.2% had Documentation Errors (n=436). An AE and Harm rate of 27.7% and 3.5% respectively was realized. The leading PC was Actions by HEMS Crew (81.6%; n=182). The majority of harm (57.1%) stemmed from the Intervention and Medication triggers (n=16), where Deviation from Standard of Care was common (37.9%; n=11). Age and diagnosis adjusted odds was significant in the Patient Condition (6.50; 95% CI, 1.71-24.67; P= 0.01) and Interventional (11.85; 95% CI, 1.36-102.92; P= 0.03) trigger groupings, while age and diagnosis had no effect on Harm. Conclusion The TT methodology is a robust, reliable, and valid means of AE detection in the HEMS domain. Whilst an AE rate of 27.7% is high, more research is required to understand prehospital clinical decision-making and reasons for guideline deviance. Furthermore, focused quality improvement initiatives to reduce AEs and Documentation errors should also be addressed in future research. 2022-02-22T04:19:11Z 2022-02-22T04:19:11Z 2021 2022-02-16T06:12:30Z Master Thesis Masters MPhil http://hdl.handle.net/11427/35806 eng application/pdf Division of Emergency Medicine Faculty of Health Sciences
spellingShingle Emergency Medicine
Heuer, Calvin
A Trigger-Tool-based Description of Adverse Events in Helicopter Emergency Medical Services in Qatar
thesis_degree_str Master's
title A Trigger-Tool-based Description of Adverse Events in Helicopter Emergency Medical Services in Qatar
title_full A Trigger-Tool-based Description of Adverse Events in Helicopter Emergency Medical Services in Qatar
title_fullStr A Trigger-Tool-based Description of Adverse Events in Helicopter Emergency Medical Services in Qatar
title_full_unstemmed A Trigger-Tool-based Description of Adverse Events in Helicopter Emergency Medical Services in Qatar
title_short A Trigger-Tool-based Description of Adverse Events in Helicopter Emergency Medical Services in Qatar
title_sort trigger tool based description of adverse events in helicopter emergency medical services in qatar
topic Emergency Medicine
url http://hdl.handle.net/11427/35806
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