PoEM_Article_147

Title
Volume
Numero
Year
Article Type
Section		crt + click right on first page > Numbering & Section Options > Start Page Numbering at: X > + Section Marker: X
Corr. Author	First LastName
	Unit, City, Country
	Mail
Date of Submission (10 Feb. 2026)
Date of Revision (10 March., 10 Apr. 2026)
Date of Acceptation (10 Aug. 2026)
DOI (10.26738/poem.v3i1.58
Complete citation

Vol. 4 No. 2 2026

Abstract

Background

Early recognition of cardiac arrest and delivery of high-quality early resuscitation are critical for survival [1]. Performance during this phase remains inconsistent in healthcare settings [2]. Simulation-based multidisciplinary team (MDT) training has shown superior outcomes compared to traditional lecturing, especially when monitored by measurable key performance indicators (KPIs) [3]. Data collected by Resuscitation Officers from the Hamad International Training Centre revealed KPIs not being met (Table 1), prompting a revised training method at Hamad Medical Corporation’s (HMC) hospitals, in Qatar. This study aimed to evaluate the introduction of a MDT training program integrating response algorithms emphasizing the first five minutes on resuscitation KPIs in simulated clinical settings.

Methods

A pre-/post-intervention study was conducted with 80 participants randomly allocated from newly formed MDT as per the shift roster at a newly opened HMC hospital providing diverse services. Each MDT consisted of two physicians and six nurses with defined roles, all with over 5 years of post-registration experience and qualified in Immediate Life Support or Paediatric Life Support. (European Resuscitation Committee 2021 guidelines). Performance was evaluated before and after the introduction of the revised training model. The initial sessions were skills-based (90 minutes of Basic Life Support airway and defibrillation) followed by a cardiac arrest simulation (30 minutes), latter sessions of the same duration were entirely simulation-based with coaching and emphasis on rapid assessment, timely recognition, and prompt initiation of interventions within the first five minutes of collapse, reinforced by the implementation of response algorithms (Figure 1). Data collection focused on six KPIs (Table 1).

Results

Implementation of the MDT training program and response pathway algorithms replacing solely skills training, resulted in improvements across all KPIs (Table 1).

Conclusion

This training with algorithms improved performance across KPIs highlighting the significance of integrating clear response pathways and defined roles.

Keywords

Resuscitation, Training, Simulation, Qatar,
First 5 minutes

Authors’ details

1. Hamad International Training Center, Doha, Qatar

2. Hamad Medical Corporation, Doha, Qatar

Author contributions

All authors contributed equally and validated the final version of record.

Acknowledgements

We would like to express our sincere appreciation to, Dr. M HA Nasser ALamri Snr. Con. Paeds for their continuous guidance and support. We also extend our gratitude to the leadership team and staff of Aisha Bint Hamad al Attiyah Hospital for their invaluable
cooperation throughout this project.

Declarations

Conflicts Of Interests

The Authors declare that there is no conflict of interest.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Registration

No registration applicable.

Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Ethical approval

The study was approved as Quality improvement project by Director of Hamad International Training Centre.

References

1. Advanced Life Support Group (ALSG). Advanced Paediatric Life Support: A Practical Approach to Emergencies, 7th Edition. Smith S, editor. Wiley-Blackwell; 2023. 528 p.

2. Chapman SM. Recognition of Clinical Deterioration in Children. In: DeVita MA, editor. Textbook of Rapid Response Systems: Concept and Implementation [Internet]. Cham: Springer Nature Switzerland; 2024. p. 489–97. Available from: https://doi.org/10.1007/978-3-031-67951-3_42

3. Aboudonya ME, Tobin J, Peter VL, Mahadiva A, Almomani EA, Karic E, et al. Enhancing preparedness and competence of front-line healthcare providers to manage maternal cardiac arrest: a quantitative observational study. BMJ Open Quality. 2025;14(Suppl 2):A1. https://doi.org/10.1136/bmjoq-2025-IHI.1

Copyright: This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0, which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite this paper? Arrowsmith P, Elsayed Saad Aboudonya M, Abdulnoor Saifeldeen K, Tobin J. Enhancing Paediatric & Adult Resuscitation Performance Through Flowchart Driven Targeted Training in the Critical First Five Minutes. Panorama of Emergency Medicine. 2026,4(2) https://doi.org/ 10.26738/poem.v4i2.4

Panorama of Emergency Medicine

Corresponding Author

Peter Arrowsmith

(Hamad International Training Center, Doha, Qatar)

parrowsmith@hamad.qa

A complete list of the Authors'Affiliations
is available at the end of the article.

Submitted: 16 Sep 2025

Accepted: 13 Jan 2026

Published by New Health Concept

panoramaoem.cloud

FIGURE 1 - Response Pathway for Paediatric Cardiac Arrest

TABLE 1 - Statistical analysis of the 6 Key Performance Indicators in response to cardiac arrest (Significant if p < 0.05* highly significant is p<0.001)
Key Performance Indicator (KPI)	N (Pre- intervention)	N (Post- intervention)	Pre-mean Rank	Post-mean Rank	U	p-value
1. Time to Recognize Absence of Breathing & Deliver 5 Breaths (≤30 s)	80	80	55	82	1289	<0.001
2. Code Blue/White Activation Time (≤1 min)	80	80	57	80	1084	0.003
3. First Chest Compression Attempt (≤30 s)	80	80	60	77	1190	0.012
4. Defibrillator Arrival Time (≤3 min)	80	80	62	75	1300	0.029
5. Time to First Defibrillation Shock (≤1 min)	80	80	58	79	1275	0.008
6. Code Blue/White Team Arrival Time (≤5 min)	80	80	61	76	1350	0.045