Evidence map›Paper›PMID 39333890›Full record

ArticleBMC emergency medicine2024

Assessment of the effectiveness of hospital external disaster functional drills on health care receivers' performance, using standardized patients and mass cards simulation: a pilot study from Saudi Arabia.

Nidaa Bajow, Saleh Alesa, Fatima Alzahraa Yassin Shaheen, Abdulaziz Almalki, Ali Alshamrani, Rimaz Alotaibi, Abdulaziz Aloraifi, Carl Montan, Sten Lennquist, Mujahid Alotaibi

Abstract read
In one paragraph

Article in BMC emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nidaa BajowDisaster Medicine Unit, Emergency Department Security Forces Hospital Program, Riyadh, Saudi Arabia. dr.nidaa@hotmail.com.
Saleh AlesaDisaster Medicine Unit, Emergency Department Security Forces Hospital Program, Riyadh, Saudi Arabia.
Fatima Alzahraa Yassin ShaheenDisaster Medicine Unit, Emergency Department Security Forces Hospital Program, Riyadh, Saudi Arabia.
Abdulaziz AlmalkiDisaster Medicine Unit, Emergency Department Security Forces Hospital Program, Riyadh, Saudi Arabia.
Ali AlshamraniDisaster Medicine Unit, Emergency Department Security Forces Hospital Program, Riyadh, Saudi Arabia.
Rimaz AlotaibiCollege of Medicine, Almaarefa University, Riyadh, Saudi Arabia.
Abdulaziz AloraifiCollege of Medicine, Al Faisal University, Riyadh, Saudi Arabia.
Carl MontanDepartment of Vascular Surgery, Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden.
Sten LennquistInternational MRMID-Association, Soderkoping, Sweden.
Mujahid AlotaibiDisaster Medicine Unit, Emergency Department Security Forces Hospital Program, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven the increasing frequency of disasters globally, it is critical that healthcare systems are prepared for these mass casualty events. The Saudi health system's preparedness for mass casualty incidents needs to be more robust, potentially due to limited disaster drills and inadequate standardized patient (SP) simulation training. This study aims to (i) assess the performance of front-line hospital staff in Saudi Arabia through a functional drill and (ii) evaluate the drill's effectiveness using SP and MAC-SIM cards, providing detailed insights into its design and execution.

methodsA functional drill was conducted at a government hospital in Riyadh, Saudi Arabia, on December 19, 2022, using a cross-sectional approach with two phases. 141 healthcare receivers served as subjects, while 23 volunteers acted as SPs. The scenario simulated a building collapse to assess the emergency department (ED) response, interdepartmental communication, and surge capacity. Data were collected through direct observation of healthcare practitioners' interactions with the SPs, analysis of SP data, and participant feedback. Quantitative data were analyzed descriptively, while qualitative data were examined for patterns and themes related to simulation performance and effectiveness.

resultsThe hospital receivers' performances demonstrated accurate triage categories. The ED team assessed most patients (67%) in less than 5 min. For patients requiring definitive care, such as intensive care unit, 95% spent less than 2.5 h in the ED. Most patients (65%) required 'other treatments'. Communication was efficient in the triage zone and the yellow treatment area. Participants' feedback on using MAC-SIM cards during the simulation was overwhelmingly positive with 82.61% reporting that MAC-SIM use helped them respond better. Experienced SPs (paramedics) with prior disaster knowledge and experience outperformed inexperienced SPs (nurses) in the functional exercise.

conclusionThis groundbreaking study is the first in the Arabic Gulf region to use SPs with MAC-SIM cards in functional drills. The findings highlight the potential of simulation exercises to improve hospital team knowledge and performance when responding to disasters. Multiple evaluation techniques can effectively identify participant strengths and weaknesses, informing future disaster improvement plans. This information is a valuable resource for Arabic and middle-income countries where disaster medicine is still developing.

Indexed as

Disaster PlanningMass Casualty IncidentsPatient SimulationAdultCross-Sectional StudiesEmergency Service, HospitalFemaleHumansMalePilot ProjectsSaudi ArabiaSimulation TrainingSurge CapacityDisaster medicineDrillMAC-SIM cardsRealistic scenarioSimulation trainingStandardized patientTeam performance

Identifiers

PMID39333890
PMCPMC11438112

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.