Skip to main content

Systematic review on the current state of disaster preparation Simulation Exercises (SimEx)

A Correction to this article was published on 06 June 2023

This article has been updated

Abstract

Introduction

The simulation exercise (SimEx) simulates an emergency in which an elaboration or description of the response is applied. The purpose of these exercises is to validate and improve plans, procedures, and systems for responding to all hazards. The purpose of this study was to review disaster preparation exercises conducted by various national, non-government, and academic institutions.

Methodology

Several databases, including PubMed (Medline), Cumulative Index to Nursing and Allied Health Literature (CINAHL), BioMed Central, and Google Scholar, were used to review the literature. Information was retrieved using Medical Subject Headings (MeSH) and documents were selected according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). To assess the quality of the selected articles, the Newcastle-Ottawa Scale (NOS) technique was utilized.

Results

A total of 29 papers were selected for final review based on PRISMA guidelines and the NOS quality assessment. Studies have shown that many forms of SimEx commonly used in disaster management including tabletop exercises, functional exercises, and full-scale exercises have their benefits and limitations. There is no doubt that SimEx is an excellent tool for improving disaster planning and response. It is still necessary to give SimEx programs a more rigorous evaluation and to standardize the processes more thoroughly.

Conclusions

Drills and training can be improved for disaster management, which will enable medical professionals to face the challenges of disaster management in the 21st century.

Peer Review reports

Introduction

The increase in population, resource scarcity, and escalating conflicts has increased both human-made and natural disasters around the world. A medical response team that is efficient and effective is crucial to improving the outcome of disaster response. It is becoming increasingly apparent that disaster medicine is progressing both theoretically and practically over the years as more research is conducted [1]. There has been an increase in research on disaster preparedness in public health [2].

World Health Organization (WHO) has stated that emergency relief supplies, preparedness, and prevention measures are equally important [3]. In a situation like this, disaster management and emergency preparedness are of the utmost importance. However, current disaster management training and education consist mainly of lectures and hospital drills. [4]. It is important to enhance disaster readiness through health readiness and drills, which prevents psychological, economic, physical, moral, and financial harm to society. There needs to be a uniform way of educating emergency medicine residents and other health professionals about disaster management.

Pandemics are worldwide health emergencies that take some countries off guard, exposing serious flaws in their ability to deal with similar calamities. As a result of the recent COVID-19 pandemic, the worlds mass emergency response protocol has once again been debated at the federal, state, and local levels. COVID-19 has highlighted inadequacies in emergency planning among governments and international partners. Simulation Exercises (SimEx) can help prepare for future pandemics and other calamities by improving readiness and response skills [5]. Ultimately, the state of preparedness for an emergency on a local, state, and national level depends on first responders. During an emergency, healthcare professionals need to be properly trained and equipped [6]. Human resource development (HRD) entails a variety of areas for practitioners, such as relevant preparation, opportunities to practice new skills, drills, and exercises, and an assessment of regional capabilities.

More than half of the world’s population experienced a disaster between 2005 and 2015, with increasing severity and casualties [7]. The use of SimEx has become one of the most popular methods of training health care and allied professionals to manage disasters and emergencies in recent years [8]. It provides a safe and familiar environment for learning, allowing repetition to facilitate learning. SimEx provides healthcare professionals with the opportunity to test their skills, develop effective strategies, and receive immediate feedback. SimEx enables disaster management teams to improve their decision-making capabilities in a friendly, cooperative atmosphere [9].

Reviewing the literature on simulation exercises in disaster management & emergency preparedness is a complex task due to inconsistent use of labels and keywords in the literature. [10]. Using PubMed, a database of 36 journals has been created for emergency medicine, 24 for preparedness, and 24 for disaster management. Several keywords are interchangeable, and many keywords are used in other fields of medicine, resulting in false-positive results. Finding the right titles and articles on this subject is like searching for a needle in a haystack. Governments, non-governmental organizations, research institutes, and universities published peer-reviewed and gray literature articles relating to disaster management.

Further, despite the extensive use of SimEx, there has been no systematic study of its efficacy and best practices. SimEx’s current disaster preparedness status would provide valuable insight into its strengths and limitations, as well as its potential for improvement. Furthermore, this review may reveal gaps in current knowledge and suggest future research directions. A study might, for example, investigate various forms of SimEx and assess the impact of different aspects, such as stakeholder engagement and technology use.

In this study, we evaluated the current state of SimEx, the evaluation approaches of various simulation methods, and the challenges that organizations face. In this work, we also examined the various types of SimEx in disaster management internationally and determine best practices. By systematically reviewing the existing literature on SimEx in disaster management, the review aims to identify the different SimEx types that are being used internationally. Furthermore, the review aims to identify best practices for SimEx in disaster management as well as explore challenges in conducting SimEx exercises, which could ultimately improve their effectiveness.

Research question and objectives

The initial analysis question posed was “Which simulation exercises are effective and feasible in disaster preparedness?”. Later it developed as “What are the current state of disaster preparation SimEx and their effectiveness in improving disaster response?“. This research question seeks to investigate the current state of SimEx practices in disaster preparation, including their types, usage frequency, and effectiveness. The review would seek to answer questions such as, What the key features of effective SimEx are? What types of SimEx are most commonly used? How frequently is SimEx conducted? and what impact they have on disaster response? By answering these questions, the review will provide insights into best practices for SimEx in disaster preparation and help to improve their effectiveness in reducing the disaster impact.

The primary objective of the project was to understand simulation exercises at present. The purpose of this was to evaluate various types of simulation exercises in terms of effectiveness and feasibility. A detailed discussion between the researchers helped determine secondary objectives including how far SimEx can work as an important educational tool for disaster preparedness to provide the desired outcome of enhanced field performance as well as obstacles and patterns in SimEx use.

The rest of the article was framed as follows. Section 2 provides search strategies for article inclusion and criteria and quality assessment. Section 3 covers the adopted search results and an overview of study characteristics. In Sect. 4, SimEx’s findings and future directions are discussed. Finally, Sect. 5 provides study conclusions and the scope of the present research.

Methods

Document search

Document search was conducted using available literature extracted from the databases of PubMed (Medline), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Google Scholar, and Biomed central by applying the Medical Subject Headings (MeSH). The search keywords ‘disaster in emergency medicine, ‘catastrophe in disaster medicine’, ‘exercise in disaster medicine’, ‘emergency in exercise in disaster medicine’, ‘simulation in disaster medicine’, ‘drill in disaster medicine, and ‘emergency in simulation exercises’ were used. An increase in demand for SimEx in disaster management prompted the need for this analysis as well as the need for insight into this subject. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), guidelines specific open-ended questions were developed [11]. Table 1 presents the number of entries associated with each search keyword. The authors employed several keywords linked to disaster medicine and simulation exercises to search multiple databases and established inclusion and exclusion criteria, such as language (English), publication date (after 2014-till date), and relevance to the research issue, to choose which publications to include in their review. Several reviewers independently screened papers and assessed their quality and relevance to the research issue during the review process. The final selection of papers for the review was based on reviewer consensus and conformity to the inclusion and exclusion criteria.

Table 1 Number of search strings with given keywords

Inclusion and exclusion criteria

Inclusion criteria included articles published in English with at least one keyword corresponding to our reviewed keywords in the title or abstract. The articles included in this study have all been peer-reviewed and published in high-quality journals. Articles published before 2014, as well as articles in languages other than English, were excluded from the study. Even though WHO guidelines were highlighted in documents before this period, they were regularly updated by the organization. Non-peer-reviewed articles were also excluded from the final search (Table 2). The process of searching and selecting studies was organized according to the SPIDER question format, which is a variation of the PICO tool. This process is illustrated in Fig. 1.

Table 2 Inclusion and exclusion criteria
Fig. 1
figure 1

Spider strategy of study selection

Quality and risk bias assessment

Risk of bias assessment is a critical component for conducting any form of scientific review. The current study used Newcastle-Ottawa scale (NOS) (Table 3) to determine the quality of the studies and bias risk assessment [12]. The Newcastle-Ottawa scale is a quality assessment tool that ranks the studies under review by designating stars. The higher the number of stars* is an indication of higher quality and less bias and a smaller number of stars indicates the contrary. We used a modified version of the NOS scale for this study which employed a 10-star rating system instead of a commonplace, nine-star scale. The stars measure the quality of the studies in question on key fundamental aspects i.e. (selection, comparability, and outcome). Interpretation of the NOS scale is fairly simple, the studies are rated as poor (0–4*), fair (5–6*), & good ( 7–10*).

Table 3 Newcastle-Ottawa scale Quality assessment form for Non-Randomized Studies included in the review

Results

Search outcomes

A rigorous review of the titles and abstracts of each article was conducted by the authors to ensure that they met the inclusion and exclusion criteria. Those abstracts that lacked sufficient data were carefully assessed for significance and relevance and the search strategy was systematic based on a rational and step-by-step process. All the studies searched were included in a reference list for cataloging any relevant articles that may have been missed by the researchers at the beginning of the search. The literature search identified 16,766 papers that are associated with the given search terms. Since many search terms are used interchangeably, 6,572 duplicate works were found. Additionally, 248 records are discarded due to ineligibility because of no simulation component and focused on disaster response rather than preparation, and 175 due to other reasons such as lack of enough information on relevance or quality, and duplication. There were 9,801 articles reviewed for relevance and objectivity by the authors. Following the application of inclusion and exclusion criteria, the authors excluded 9,226 articles. Quality check criteria were applied to the remaining 575 works using the NOS scale and quality scores were independently calculated using spreadsheets. Several discussions followed, and 29 papers were selected for final review by all authors. Figure 2 presents the PRISMA flowchart for study selection.

Fig. 2
figure 2

Study selection flow-chart based on PRISMA 2021 guidelines

Study characteristics

Many studies focused on SimEx to evaluate its operational capabilities, system optimization, and staff for any emergency, including natural and man-made disasters. [13,14,15,16,17,18,19,20]. Table 4 presents the study characteristics based on SimEx type, design models, and guidelines.

Exercise types

Drill exercises were largely highlighted in studies [13, 21,22,23,24] followed by full-scale exercises [14, 17, 20, 24,25,26,27,28,29] and tabletop exercises [16, 18, 19]. The other type of studies reviewed included workshop discussion-based simulation exercises [13, 25, 30, 31], computer-based simulation exercise [32], and operational-based functional exercises [33,34,35,36]. The studies used different evaluation and assessment mechanisms to assess the impact and success of this simulation exercise. The studies used different evaluation and assessment mechanisms to assess SimEx’s success and impact.

SimEx Design models

To assess SimEx quality and effectiveness, authors need to clarify the techniques and evaluation types used. It’s because SimEx exercises and disaster drills consume an enormous amount of time and money. The following evaluation methods were most commonly used in the studies: Questionnaires/Likert scales [18, 23, 25, 29, 30, 32, 36,37,38] debriefing pre sessions [17, 21] and post-exercise exam [16, 37, 39]. The other evaluation methods used to assess the SimEx’s outcomes were observed for live scenarios and learning management system software such as Moodle [20], retrospective object evaluation [22], and METHANE which is a standard tool to assess and report major incident parameters include “type”, “precise location”, “hazards”, “access”, “casualty numbers”, and “emergency service [28]. To evaluate them, it is imperative to have a clear and concise strategy. All stakeholders should be able to assess the effectiveness of these exercises based on scientific theory and supported by research. Performing these evaluations can make disaster SimEx’s financially viable and attract funding for research.

An evaluation rationale should be grounded in empirical evidence, and the authors should explain which methods they will use to achieve their goals. The steps described above will lead to a logical and scientific approach to evaluating disaster SimEx and building interest in this area. According to the hospital safety index (HSI) guidelines level of preparedness of hospital staff in disasters is necessary to control the severity [14]. Competency-based evaluation tools designed for this SimEx included follow-up interviews (Cranmer et al.) and cognitive task analysis (CTA) [27], Post-exercise HSEEP participant feedback forms, and IC-specific exercise evaluation guide [35]. One assessment tool was used in some studies, while others were examined using a variety of tools including observation, interviews, proximity sensors, hot wash feedback, and electronic records [20, 26, 33, 35].

Guidelines development for SimEx

SimExs are developed systematically and scientifically using an exercise manual and simulation guidelines. When creating scenario-based SimExs, exercise organizers must adhere to certain guidelines for scenario development, delivery, and after-action reviews. Planning the exercise should begin with a description of the research question or learning objectives that will be addressed [13, 22]. The development of SimEx should also be carried out by professionals who examine previous research, plans, systems, and simulation designs. It is also important to develop a risk assessment plan to address the risks related to the SimEx design and participants [28]. Diverse groups of participants with defined roles assigned via different teams make exercises more dynamic and enjoyable [40]. Invitations should be based on a stakeholder analysis to determine which participants would be most appropriate for the exercise’s learning objectives [15, 37].

Table 4 Study characteristics

Discussion

The review analyzed the diverse range of SimEx exercises carried out in disaster and emergency medicine and compared the SimEx practices observed in various studies. The study also examined the challenges & obstacles to effective SimEx implementation and proposed specific recommendations to enhance disaster preparedness and response plans, processes, and systems, based on the 2017 report by the World Health Organization [41]. It is also claimed that when disaster exercise assessments are based on both quantitative and qualitative data, the evaluation conclusions are more meaningful [42]. Disaster exercises offer certain advantages in terms of convenience of use, function-driven nature, precision, consistency, validity, reliability, and cultural considerations [43, 44]. Therefore, the primary study objective of identifying and investigating patterns was achieved by a better understanding of the SimEx models that are currently being used in various disaster planning and emergency response scenarios.

In the absence of research, it is not known whether exercise assessment techniques are effective or superior. However, one evaluation method, such as video and photography, has been evaluated and found to be efficient [14, 18, 27, 38]. Video evaluations can provide some benefits, such as the ability to evaluate better, provide a secondary evaluation, and display the participant’s performance. The time saved by video debriefing can also be used for learner rehabilitation, scenario modification, or other instructional tasks. According to studies, numerous tools are available for assessing disaster recovery exercises. The inclusion of such tools is merely the responsibility of hospitals and is frequently dispensed as function-based in checklists. There is no comprehensive tool that can apply to all healthcare systems, including well-being, therapeutic interventions, and assistance [14, 17, 19, 20, 38].

In the present analysis, we included large-scale studies to understand the potentiality of SimEx approaches in disaster preparedness [14, 17, 20, 24, 26]. It is reported that choosing evaluators was an essential part of SimEx designing since they are potentially influenced by the evaluator’s perception, judgment, and knowledge of disaster management, critical care, and preparedness [17, 18, 20, 33]. Our analysis shows that the majority of SimEx exercises conducted around the world were tabletop exercises. Studies suggest that discussion-based tabletop exercises are the easiest to organize, conduct, and evaluate, especially when there are a large number of participants. Exercises based on scenarios (such as drills or full-scale exercises) require more preparation, financing, and organization [45].

Simulators, drills, and training sessions are increasingly being integrated into post-graduate medical training courses around the world. There has been a massive transformation in the medical world in terms of resources, infrastructure, technology, and public research in recent decades. Employees have been equipping themselves with the necessary skills to deal with catastrophes as part of this transformation. This has led to the creation of disaster simulation centers and the conduct of SimEx at universities and colleges. Super-specialized organizations have also emerged [46]. Further, studies by Luan D et al., Huang S et al. and Lyu et al. highlight the importance of incorporating natural hazard risk assessment and emergency response planning into infrastructure design and planning. They also showcase the potential benefits of using advanced modeling and optimization techniques to improve the performance and resilience of infrastructure systems. Overall, these articles contribute to a growing body of research aimed at promoting the safety, sustainability, and resilience of infrastructure systems in the face of natural hazards and other challenges [46,47,48].

The health sector is lacking evidence and information regarding the interminable implications of exercise on preparedness and response in an emergency. Participating in SimEx results in improved emergency plans that will lead to an understanding of the weaknesses and limitations of an individual or an organization. This does not guarantee that this understanding leads to actual improvement and more effective emergency management. It is difficult to demonstrate SimEx’s effectiveness at an institutional level as long as there is no evidence of any long-term positive effect on public health emergency preparedness.

Globally, there has been a lack of consistency in the response to the COVID-19 pandemic. Various countries have taken sequestered responses to worldwide problems, which makes greater preparation for pandemics, disasters, and simulations imperative. Moreover, more research is required in the area of disaster preparedness to complete the knowledge gap. There is no evidence to support the effectiveness of current exercise assessment techniques. To determine the usefulness of various forms of exercise assessment techniques in the future, emergency management experts should conduct immersive experiments. Using the current available evaluation tools and strategies, this review will contribute to improving the readiness of various sectors of the healthcare system. In this way, disaster management can be implemented successfully.

In the future, researchers and practitioners can use the current study results on SimEx in disaster preparation to improve its effectiveness in a variety of ways, including.

  • Creating standardized SimEx protocols: Research and practitioners can use the study findings to create standardized SimEx protocols, which can ensure consistency in SimEx practices and facilitate comparison between programs.

  • Integrating more rigorous assessment: SimEx programs may benefit from a more rigorous evaluation, which can identify areas for improvement and ensure that they are meeting their intended goals.

  • Addressing implementation barriers: SimEx implementation may be hampered by resource constraints or stakeholder apathy. It may be possible to overcome these hurdles in the future by developing solutions to solve resource constraints or by including stakeholders early on in SimEx design.

  • Finding opportunities for improvement: The assessment may indicate particular areas for improvement in SimEx procedures, such as the need for more realistic scenarios or greater interaction with other disaster management systems. Future studies or practices can concentrate on tackling these specific areas to increase SimEx’s efficacy.

Overall, the findings of a systematic assessment of disaster simulation exercises may be utilized to drive the development and implementation of SimEx techniques, resulting in better disaster preparedness and response.

Conclusion

In this study, we examined current methodologies for evaluating safety interventions following accidents and disasters. The healthcare industry has conducted drills and operations to prepare for disasters and accidents. Mass casualty incidents (MCI) are characterized as overpowering events in which patients outweigh locally available resources. These events require a robust emergency response which usually necessitates support from the state or region. [49].Diverse approaches and methods should be used according to the type and purpose of the activity. Healthcare facilities may use a variety of approaches and strategies to plan safety actions and assess disaster response. Exercises can be tabletop, functional, or full-scale and are used to evaluate emergency response protocols and highlight areas for improvement. Performing post-incident evaluations to assess response activities’ efficacy and suggest improvements. Training employees to be prepared to handle crises by creating and executing training programs. Establishing alliances and collaborations with other organizations to share resources and improve response skills. It is recommended that disaster preparedness in healthcare requires a multifaceted approach. In this regard, it is essential to consider the specific needs, resources, and goals of the organization.

Data Availability

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Change history

Abbreviations

CINAHL:

Cumulative Index to Nursing and Allied Health Literature

CTA:

Cognitive task analysis

HRD:

Human resource development

HSI:

Hospital safety index

MCI:

Mass casualty incidents

MeSH:

Medical Subject Headings

NOS:

Newcastle-Ottawa Scale

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

SimEx:

Simulation exercise

WHO:

World Health Organization

References

  1. Guha-Sapir D, Vos F, Below R, Ponserre S. Annual disaster statistical review 2011: the numbers and trends. 2012.

  2. Heidaranlu E, Ebadi A, Khankeh HR, Ardalan A. Hospital disaster preparedness tools: a systematic review. PLoS Curr. 2015;7.

  3. Yeager VA, Menachemi N, McCormick LC, Ginter PM. The nature of the public health emergency preparedness literature 2000–2008: a quantitative analysis. J Public Health Manage Pract. 2010;16(5):441–9.

    Article  Google Scholar 

  4. Sarin RR, Cattamanchi S, Alqahtani A, Aljohani M, Keim M, Ciottone GR. Disaster education: a survey study to analyze disaster medicine training in emergency medicine residency programs in the United States. Prehosp Disaster Med. 2017;32(4):368–73.

    Article  PubMed  Google Scholar 

  5. Biswas S, Bahouth H, Solomonov E, Waksman I, Halberthal M, Bala M. Preparedness for mass casualty incidents: the effectiveness of current training model. Disaster Med Pub Health Prep. 2022;16(5):2120–8.

    Article  Google Scholar 

  6. Choi HS, Lee J-E. Hospital nurses’ willingness to respond in a disaster. JONA: The Journal of Nursing Administration. 2021;51(2):81–8.

    Article  Google Scholar 

  7. Norris FH, Stevens SP, Pfefferbaum B, Wyche KF, Pfefferbaum RL. Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness. Am J Community Psychol. 2008;41:127–50.

    Article  PubMed  Google Scholar 

  8. Järvensivu P, Räisänen H, Hukkinen JI. A simulation exercise for incorporating long-term path dependencies in urgent decision-making. Futures. 2021;132:102812.

    Article  Google Scholar 

  9. Guo Y, Yang H, Chen M, Cheng J, Gong D. Ensemble prediction-based dynamic robust multi-objective optimization methods. Swarm Evol Comput. 2019;48:156–71.

    Article  Google Scholar 

  10. Birnbaum ML, Adibhatla S, Dudek O, Ramsel-Miller J. Categorization and analysis of disaster health publications: an inventory. Prehosp Disaster Med. 2017;32(5):473–82.

    Article  PubMed  Google Scholar 

  11. Page M, McKenzie J, Bossuyt P, Boutron I, Hoffmann T, Mulrow C, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Syst reviews. 2021;10(1):1–11.

    Article  Google Scholar 

  12. Wells GA, Shea B, O’Connell D, Peterson J, Welch V, Losos M et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. 2013. 2016.

  13. Alim S, Kawabata M, Nakazawa M. Evaluation of disaster preparedness training and disaster drill for nursing students. Nurse Educ Today. 2015;35(1):25–31.

    Article  PubMed  Google Scholar 

  14. Djalali A, Carenzo L, Ragazzoni L, Azzaretto M, Petrino R, Della Corte F, et al. Does hospital disaster preparedness predict response performance during a full-scale exercise? A pilot study. Prehosp Disaster Med. 2014;29(5):441–7.

    Article  PubMed  Google Scholar 

  15. Cranmer H, Chan JL, Kayden S, Musani A, Gasquet PE, Walker P, et al. Development of an evaluation framework suitable for assessing humanitarian workforce competencies during crisis simulation exercises. Prehosp Disaster Med. 2014;29(1):69–74.

    Article  PubMed  Google Scholar 

  16. Hanson K, Hernandez L, Banaski JA Jr. Building simulation exercise capacity in Latin America to manage public health emergencies. Health Secur. 2018;16(S1):–98.

  17. Kilianski A, O’Rourke AT, Carlson CL, Parikh SM, Shipman-Amuwo F. The planning, execution, and evaluation of a mass prophylaxis full-scale exercise in cook county, IL. Biosecurity and bioterrorism: biodefense strategy. Pract Sci. 2014;12(2):106–16.

    Google Scholar 

  18. Lee JI, Lee KH, Kim OH, Cha YS, Hwang SO, Kim H, et al. Evaluation of an international disaster relief team after participation in an ASEAN regional forum disaster relief exercise. Disaster Med Pub Health Prep. 2016;10(5):734–8.

    Article  Google Scholar 

  19. Rüter A, Kurland L, Gryth D, Murphy J, Rådestad M, Djalali A. Evaluation of disaster preparedness based on simulation exercises: a comparison of two models. Disaster Med Pub Health Prep. 2016;10(4):544–8.

    Article  Google Scholar 

  20. Burke RV, Kim TY, Bachman SL, Iverson EI, Berg BM. Using mixed methods to assess pediatric disaster preparedness in the hospital setting. Prehosp Disaster Med. 2014;29(6):569–75.

    Article  PubMed  Google Scholar 

  21. Zapko KA, Ferranto ML, Brady C, Corbisello A, Hill D, Mullen R, et al. Interdisciplinary disaster drill simulation: laying the groundwork for further research. Nurs Educ Perspect. 2015;36(6):379–82.

    Article  PubMed  Google Scholar 

  22. Arai T, Ohta S, Onishi M, Taniguchi M, Tsurukiri J, Kumasaka K, et al. Empirical research on the utility of a preparation manual for a disaster medical response drill. Open Access Emergency Medicine: OAEM. 2017;9:81.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Fogel I, David O, Balik CH, Eisenkraft A, Poles L, Shental O, et al. The association between self-perceived proficiency of personal protective equipment and objective performance: an observational study during a bioterrorism simulation drill. Am J Infect Control. 2017;45(11):1238–42.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Foo N-P, So EC, Lu N-C, Hsieh S-W, Pan S-T, Chen Y-L et al. A 36-hour unplugged full-scale exercise: closing the gaps in interagency collaboration between the disaster medical assistance team and urban search and rescue team in disaster preparedness in taiwan. Emergency medicine international. 2021;2021.

  25. Gist R, Daniel P, Grock A, Lin C-j, Bryant C, Kohlhoff S, et al. Use of medical reserve corps volunteers in a hospital-based disaster exercise. Prehosp Disaster Med. 2016;31(3):259–62.

    Article  PubMed  Google Scholar 

  26. Shah VS, Pierce LC, Roblin P, Walker S, Sergio MN, Arquilla B. Waterworks, a full-scale chemical exposure exercise: interrogating pediatric critical care surge capacity in an inner-city tertiary care medical center. Prehosp Disaster Med. 2014;29(1):100–6.

    Article  PubMed  Google Scholar 

  27. Gomes JO, Borges MR, Huber GJ, Carvalho PVR. Analysis of the resilience of team performance during a nuclear emergency response exercise. Appl Ergon. 2014;45(3):780–8.

    Article  PubMed  Google Scholar 

  28. Mbanjumucyo G, Nahayo E, Polzin-Rosenberg N, Cattermole GN. Major incident simulation in Rwanda: a report of two exercises. Afr J Emerg Med. 2018;8(2):75–8.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Salway RJR, Adler Z, Williams T, Nwoke F, Roblin P, Arquilla B. The challenges of a vertical evacuation drill. Prehosp Disaster Med. 2019;34(1):25–9.

    Article  PubMed  Google Scholar 

  30. James LE, Welton-Mitchell C, Noel JR, James AS. Integrating mental health and disaster preparedness in intervention: a randomized controlled trial with earthquake and flood-affected communities in Haiti. Psychol Med. 2020;50(2):342–52.

    Article  PubMed  Google Scholar 

  31. White-Lewis S, Beach E, Zegers C. Improved knowledge of disaster preparedness in underrepresented secondary students: a quasi‐experimental study. J Sch Health. 2021;91(6):490–8.

    Article  PubMed  Google Scholar 

  32. Jonson C-O, Pettersson J, Rybing J, Nilsson H, Prytz E. Short simulation exercises to improve emergency department nurses’ self-efficacy for initial disaster management: controlled before and after study. Nurse Educ Today. 2017;55:20–5.

    Article  PubMed  Google Scholar 

  33. Ozella L, Gauvin L, Carenzo L, Quaggiotto M, Ingrassia PL, Tizzoni M, et al. Wearable proximity sensors for monitoring a mass casualty incident exercise: feasibility study. J Med Internet Res. 2019;21(4):e12251.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Sheikhbardsiri H, Yarmohammadian MH, Khankeh H, Khademipour G, Moradian MJ, Rastegarfar B, et al. An operational exercise for disaster assessment and emergency preparedness in south of Iran. J Public Health Manage Pract. 2020;26(5):451–6.

    Article  Google Scholar 

  35. Obaid JM, Bailey G, Wheeler H, Meyers L, Medcalf SJ, Hansen KF, et al. Utilization of functional exercises to build regional emergency preparedness among rural health organizations in the US. Prehosp Disaster Med. 2017;32(2):224–30.

    Article  PubMed  Google Scholar 

  36. Bentley S, Iavicoli L, Boehm L, Agriantonis G, Dilos B, LaMonica J, et al. A simulated mass casualty incident triage exercise: SimWars. MedEdPORTAL. 2019;15:10823.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Aluisio AR, Daniel P, Grock A, Freedman J, Singh A, Papanagnou D, et al. Case-based learning outperformed simulation exercises in disaster preparedness education among nursing trainees in India: a randomized controlled trial. Prehosp Disaster Med. 2016;31(5):516–23.

    Article  PubMed  Google Scholar 

  38. Schulz CM, Skrzypczak M, Raith S, Hinzmann D, Krautheim V, Heuser F, et al. High-fidelity human patient simulators compared with human actors in an unannounced mass-casualty exercise. Prehosp Disaster Med. 2014;29(2):176–82.

    Article  PubMed  Google Scholar 

  39. Claudius I, Kaji A, Santillanes G, Cicero M, Donofrio JJ, Gausche-Hill M, et al. Comparison of computerized patients versus live moulaged actors for a mass-casualty drill. Prehosp Disaster Med. 2015;30(5):438–42.

    Article  PubMed  Google Scholar 

  40. Nejadshafiee M, Nekoei-Moghadam M, Bahaadinbeigy K, Khankeh H, Sheikhbardsiri H. Providing telenursing care for victims: a simulated study for introducing of possibility nursing interventions in disasters. BMC Med Inf Decis Mak. 2022;22(1):54.

    Article  Google Scholar 

  41. Organization WH. WHO simulation exercise manual: a practical guide and tool for planning, conducting and evaluating simulation exercises for outbreaks and public health emergency preparedness and response. World Health Organization; 2017.

  42. Rajabi S, Khankeh HR, Delshad V, Rahgozar M, Arsalani N, Mohammadi F. Effects of comprehensive risk management program on the preparedness of rofeide rehabilitation hospital in disasters and incidents. Health in Emergencies and Disasters Quarterly. 2017;2(4):179–86.

    Article  Google Scholar 

  43. Agboola F, McCarthy T, Biddinger PD. Impact of emergency preparedness exercise on performance. J Public Health Manage Pract. 2013;19:77–S83.

    Article  Google Scholar 

  44. Savoia E, Biddinger PD, Burstein J, Stoto MA. Inter-agency communication and operations capabilities during a hospital functional exercise: reliability and validity of a measurement tool. Prehosp Disaster Med. 2010;25(1):52–8.

    Article  PubMed  Google Scholar 

  45. Skryabina E, Reedy G, Amlot R, Jaye P, Riley P. What is the value of health emergency preparedness exercises? A scoping review study. Int J disaster risk Reduct. 2017;21:274–83.

    Article  Google Scholar 

  46. Luan D, Liu A, Wang X, Xie Y, Wu Z. Robust two-stage location allocation for emergency temporary blood supply in postdisaster. Discrete dynamics in nature and society. 2022;2022:1–20.

    Article  Google Scholar 

  47. Huang S, Huang M, Lyu Y. Seismic performance analysis of a wind turbine with a monopile foundation affected by sea ice based on a simple numerical method. Eng Appl Comput fluid Mech. 2021;15(1):1113–33.

    Google Scholar 

  48. Huang S, Lyu Y, Sha H, Xiu L. Seismic performance assessment of unsaturated soil slope in different groundwater levels. Landslides. 2021;18(8):2813–33.

    Article  Google Scholar 

  49. Lomaglio L, Ansaloni L, Catena F, Sartelli M, Coccolini F. Mass Casualty Incident: definitions and current reality. In: Kluger Y, Coccolini F, Catena F, Ansaloni L, editors. WSES Handbook of Mass casualties incidents management. Hot topics in Acute Care surgery and trauma. Cham: Springer; 2020.

    Google Scholar 

Download references

Acknowledgements

None.

Funding

The research received no funding from any funding agency.

Author information

Authors and Affiliations

Authors

Contributions

Design and Data Collection: Syed Sarosh Mahdi (SSM), Raheel Allana (RA), Gopi Battineni (GB)Final Manuscript Revision:Kiran Rehman(KR) ,Syed Sarosh Mahdi (SSM) & Francesco Amenta (FA)Manuscript Preparation: Syed Sarosh Mahdi SSM), Raheel Allana (RA), Gopi Battineni (GB). Sakina Syeda (SS)Methods: Syed Sarosh Mahdi (SSM), Raheel Allana (RA), Gopi Battineni (GB), Kiran Rehman (KR)Paper Reviews: Syed Sarosh Mahdi, Raheel Allana, Gopi Battineni, Sakina Syeda & Mariam Khawaja Research Background: Syed Sarosh Mahdi, Francesco Amenta, Mariam Khawaja, Daniyal AghaStudy Approval: Syed Sarosh Mahdi, Sakina Syed, Mariam Khawaja (MK)Study Planning: Syed Sarosh Mahdi, Raheel Allana, Gopi Battineni,Francesco AmentaStudy Selection: Kiran Rehman, Mariam Khawaja, Daniyal Agha, Sakina SyedaAll authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Syed Sarosh Mahdi.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

Not applicable.

Consent to publish

Not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mahdi, S.S., Jafri, H.A., Allana, R. et al. Systematic review on the current state of disaster preparation Simulation Exercises (SimEx). BMC Emerg Med 23, 52 (2023). https://doi.org/10.1186/s12873-023-00824-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12873-023-00824-8

Keywords