Accuracy and Timeliness of Prehospital Global Triage System Protocols in Mass Disasters (2025)

Type of publication:

Journal article

Author(s):

Shaltout, Amr Essam; Elfatih Elbadri, Mohammed; Kaur, Kiranjot; Alsharif, Mohammed M; Alkhazendar, Aliaa H; *Hassouba, Omar Nasr; Ahmad, Muhammad Nabeel; Osman, Mazin; Zahid, Areeba; Banjamin, Shaun.

Citation:

Cureus. 17(9):e92796, 2025 Sep.

Abstract:

This systematic review evaluated the accuracy and timeliness of global prehospital triage systems in mass disasters, following Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) 2020
guidelines. A comprehensive search of PubMed/MEDLINE, Embase, Scopus, and Cochrane Library up to June 2025 identified 344 records, of which four studies met eligibility criteria after screening and full-text assessment. Included studies analyzed conventional systems such as Simple Triage and Rapid Treatment (START), JumpSTART, Sort, Assess, Lifesaving Interventions, Treatment/Transport (SALT), and Modified Physiological Triage Tool (MPTT), as well as artificial intelligence (AI)-assisted approaches and diagnostic adjuncts like portable ultrasound. Sample sizes ranged from targeted reviews of 30-60 studies (systematic and evidence-based reviews) to practical evaluations of triage innovations involving prehospital and emergency responders. Data extraction captured accuracy, timeliness, and resource allocation, while risk of bias was assessed using the A Measurement Tool to Assess Systematic Reviews version 2 (AMSTAR-2) and the Scale for the Assessment of Narrative Review Articles (SANRA), with ratings ranging from low to moderate. Results demonstrated that traditional systems such as START and SALT provide rapid categorization but remain prone to over- and under-triage depending on responder training and situational factors. AI-driven models and portable diagnostic technologies significantly improved decision speed, diagnostic precision, and prioritization of life-saving interventions, reducing delays in critical care. Overall, while no single algorithm proved universally superior, integration of training, simulation-based preparedness, and emerging AI-supported tools was consistently associated with improved triage performance in chaotic, resource-limited disaster environments.

DOI: 10.7759/cureus.92796

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Introducing a falls trolley to ward 28 (2025)

Type of publication:

Service improvement case study

Author(s):

*Karen Forrest; *Debbie Pearce

Citation:

SaTH Improvement Hub, June 2025

SMART Aim:

To reduce the number of falls on ward 28 by 10% by the end of April 2025. Ward 28 aimed to increase their compliance with neurological observations to 100% by April 2025.

    Link to PDF poster

    Personalised Care on the Head and Neck Pathway (2025)

    Type of publication:

    Service improvement case study

    Author(s):

    *Jennifer Hall

    Citation:

    SaTH Improvement Hub, June 2025

    SMART Aim:

    To increase and standardise the offer and completion of Heath Needs assessments (HNAs) and end of treatment summaries to ensure consistent and high-quality personalised care for all patients on the head and neck pathway. Data will be reviewed by 31st December 2024.

    Link to PDF poster

    Investigating how to increase the Potential of Homegrown Research Projects at SaTH (2025)

    Type of publication:

    Service improvement case study

    Author(s):

    *Jo Sawyer

    Citation:

    SaTH Improvement Hub, June 2025

    SMART Aim:

    Increase the amount of homegrown research projects applying for the £10K R&I charity funding pot by December 2024, as evidenced by 10 projects being submitted and funding being allocated by Jan 2025.

    Link to PDF poster

    Ward Round Checklist (2025)

    Type of publication:

    Service improvement case study

    Author(s):

    *S.Nazir; *K.Eardley; *E.Shennaike

    Citation:

    SaTH Improvement Hub, October 2025

    SMART Aim:

    Improve the quality and accuracy of documentation during rounds to enhance patient safety, reduce errors, and facilitate smooth handovers between shifts and teams.

    Link to PDF poster

    Elective Hub High Flow List- T&O (2025)

    Type of publication:

    Service improvement case study

    Author(s):

    *Piers Moreau

    Citation:

    SaTH Improvement Hub, October 2025

    SMART Aim:

    To increase utilisation on an all-day theatre list on the 29th of July 2025. Sub aim: To increase number of cases on an all-day theatre list by 1 on the 29th of July 2025.

    Link to PDF poster