A simulation-based randomized trial of ABCDE style cognitive aid for emergency medical services CHecklist In Prehospital Settings: the CHIPS-study.

ABCDE mnemonic ABCDE scheme Checklists Medical simulation Out of hospital cardiac arrest (OHCA) Patient safety Resuscitation Return of spontaneous circulation (ROSC)

Journal

Scandinavian journal of trauma, resuscitation and emergency medicine
ISSN: 1757-7241
Titre abrégé: Scand J Trauma Resusc Emerg Med
Pays: England
ID NLM: 101477511

Informations de publication

Date de publication:
17 Nov 2023
Historique:
received: 15 02 2023
accepted: 05 11 2023
medline: 20 11 2023
pubmed: 18 11 2023
entrez: 18 11 2023
Statut: epublish

Résumé

Checklists are a powerful tool for reduction of mortality and morbidity. Checklists structure complex processes in a reproducible manner, optimize team interaction, and prevent errors related to human factors. Despite wide dissemination of the checklist, effects of checklist use in the prehospital emergency medicine are currently unclear. The aim of the study was to demonstrate that participants achieve higher adherence to guideline-recommended actions, manage the scenario more time-efficient, and thirdly demonstrate better adherence to the ABCDE-compliant workflow in a simulated ROSC situation. CHIPS was a prospective randomized case-control study. Professional emergency medical service teams were asked to perform cardiopulmonary resuscitation on an adult high-fidelity patient simulator achieving ROSC. The intervention group used a checklist which transferred the ERC guideline statements of ROSC into the structure of the 'ABCDE' mnemonic. Guideline adherence (performance score, PS), utilization of process time (items/minute) and workflow were measured by analyzing continuous A/V recordings of the simulation. Pre- and post-questionnaires addressing demographics and relevance of the checklist were recorded. Effect sizes were determined by calculating Cohen's d. The level of significance was defined at p < 0.05. Twenty scenarios in the intervention group (INT) and twenty-one in the control group (CON) were evaluated. The average time of use of the checklist (CU) in the INT was 6.32 min (2.39-9.18 min; SD = 2.08 min). Mean PS of INT was significantly higher than CON, with a strong effect size (p = 0.001, d = 0.935). In the INT, significantly more items were completed per minute of scenario duration (INT, 1.48 items/min; CON, 1.15 items/min, difference: 0.33/min (25%), p = 0.001), showing a large effect size (d = 1.11). The workflow did not significantly differ between the groups (p = 0.079), although a medium effect size was shown (d = 0.563) with the tendency of the CON group deviating stronger from the ABCDE than the INT. Checklists can have positive effects on outcome in the prehospital setting by significantly facilitates adherence to guidelines. Checklist use may be time-effective in the prehospital setting. Checklists based on the 'ABCDE' mnemonic can be used according to the 'do verify' approach. Team Time Outs are recommended to start and finish checklists.

Sections du résumé

BACKGROUND BACKGROUND
Checklists are a powerful tool for reduction of mortality and morbidity. Checklists structure complex processes in a reproducible manner, optimize team interaction, and prevent errors related to human factors. Despite wide dissemination of the checklist, effects of checklist use in the prehospital emergency medicine are currently unclear. The aim of the study was to demonstrate that participants achieve higher adherence to guideline-recommended actions, manage the scenario more time-efficient, and thirdly demonstrate better adherence to the ABCDE-compliant workflow in a simulated ROSC situation.
METHODS METHODS
CHIPS was a prospective randomized case-control study. Professional emergency medical service teams were asked to perform cardiopulmonary resuscitation on an adult high-fidelity patient simulator achieving ROSC. The intervention group used a checklist which transferred the ERC guideline statements of ROSC into the structure of the 'ABCDE' mnemonic. Guideline adherence (performance score, PS), utilization of process time (items/minute) and workflow were measured by analyzing continuous A/V recordings of the simulation. Pre- and post-questionnaires addressing demographics and relevance of the checklist were recorded. Effect sizes were determined by calculating Cohen's d. The level of significance was defined at p < 0.05.
RESULTS RESULTS
Twenty scenarios in the intervention group (INT) and twenty-one in the control group (CON) were evaluated. The average time of use of the checklist (CU) in the INT was 6.32 min (2.39-9.18 min; SD = 2.08 min). Mean PS of INT was significantly higher than CON, with a strong effect size (p = 0.001, d = 0.935). In the INT, significantly more items were completed per minute of scenario duration (INT, 1.48 items/min; CON, 1.15 items/min, difference: 0.33/min (25%), p = 0.001), showing a large effect size (d = 1.11). The workflow did not significantly differ between the groups (p = 0.079), although a medium effect size was shown (d = 0.563) with the tendency of the CON group deviating stronger from the ABCDE than the INT.
CONCLUSION CONCLUSIONS
Checklists can have positive effects on outcome in the prehospital setting by significantly facilitates adherence to guidelines. Checklist use may be time-effective in the prehospital setting. Checklists based on the 'ABCDE' mnemonic can be used according to the 'do verify' approach. Team Time Outs are recommended to start and finish checklists.

Identifiants

pubmed: 37978554
doi: 10.1186/s13049-023-01144-3
pii: 10.1186/s13049-023-01144-3
pmc: PMC10655407
doi:

Substances chimiques

D 935 41144-17-6

Types de publication

Randomized Controlled Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

81

Informations de copyright

© 2023. The Author(s).

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Auteurs

Helena Droege (H)

Department of Trauma and Orthopedic Surgery, Cologne-Merheim Medical Center (CMMC), University Witten/Herdecke, Ostmerheimer Str. 200, 51429, Cologne, Germany.
Department of Orthopedics and Traumatology, University Medical Center of the Johannes Gutenberg University, Langenbeckstr. 1, 55131, Mainz, Germany.

Heiko Trentzsch (H)

Institut Für Notfallmedizin Und Medizinmanagement (INM), Klinikum der Universität München, LMU München, Schillerstr. 53, 80336, Munich, Germany.

Alexandra Zech (A)

Institut Für Notfallmedizin Und Medizinmanagement (INM), Klinikum der Universität München, LMU München, Schillerstr. 53, 80336, Munich, Germany.

Stephan Prückner (S)

Institut Für Notfallmedizin Und Medizinmanagement (INM), Klinikum der Universität München, LMU München, Schillerstr. 53, 80336, Munich, Germany.

Sebastian Imach (S)

Department of Trauma and Orthopedic Surgery, Cologne-Merheim Medical Center (CMMC), University Witten/Herdecke, Ostmerheimer Str. 200, 51429, Cologne, Germany. Dr.Imach@gmx.de.

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Classifications MeSH