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      Use of Self-Efficacy Scale in Mass Casualty Incidents During Drill Exercises

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          Abstract

          Introduction

          Medical First Responders (MFRs) in the emergency department SUMMA 112 are tasked with handling the initial management of Mass Casualty Incidents (MCI) and building response capabilities. Training plays a crucial role in preparing these responders for effective disaster management. Yet, evaluating the impact of such training poses challenges since true competency can only be proven amid a major event. As a substitute gauge for training effectiveness, self-efficacy has been suggested.

          Objective

          The purpose of this study is to employ a pre- and post-test assessment of changes in perceived self-efficacy among MFRs following an intervention focused on the initial management of MCI. It also aimed to evaluate a self-efficacy instrument for its validity and reliability in this type of training.

          Method

          In this study, we used a pretest (time 1 = T1) – post-test (time 2 = T2) design to evaluate how self-efficacy changed after a training intervention with 201 MFRs in initial MCI management. ANOVA within-subjects and between subjects analyses were used.

          Results

          The findings reveal a noteworthy change in self-efficacy before and after training among the 201 participants. This suggests that the training intervention positively affected participants’ perceived capabilities to handle complex situations like MCI.

          Conclusion

          The results allow us to recommend a training program with theory components together with practical workshops and live, large-scale simulation exercises for the training of medical first responders in MCI, as it significantly increases their perception of the level of self-efficacy for developing competencies associated with disaster response.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12913-024-11175-w.

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          Most cited references52

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs

            Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes highlight their importance to communicate the practical significance of results. For scientists themselves, effect sizes are most useful because they facilitate cumulative science. Effect sizes can be used to determine the sample size for follow-up studies, or examining effects across studies. This article aims to provide a practical primer on how to calculate and report effect sizes for t-tests and ANOVA's such that effect sizes can be used in a-priori power analyses and meta-analyses. Whereas many articles about effect sizes focus on between-subjects designs and address within-subjects designs only briefly, I provide a detailed overview of the similarities and differences between within- and between-subjects designs. I suggest that some research questions in experimental psychology examine inherently intra-individual effects, which makes effect sizes that incorporate the correlation between measures the best summary of the results. Finally, a supplementary spreadsheet is provided to make it as easy as possible for researchers to incorporate effect size calculations into their workflow.
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              Alternative Ways of Assessing Model Fit

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                Author and article information

                Contributors
                carmen.cardos@salud.madrid.org , ccardos@ucm.es
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                18 June 2024
                18 June 2024
                2024
                : 24
                : 745
                Affiliations
                [1 ]GRID grid.418921.7, ISNI 0000 0001 2348 8190, Emergency Medical Service of the Community of Madrid (SUMMA112), ; Madrid, Spain
                [2 ]Faculty of Nursing, Physiotherapy and Podiatry, Complutense University of Madrid, ( https://ror.org/02p0gd045) Madrid, Spain
                [3 ]Unit of Police Work /Research Unit, Umeå University, ( https://ror.org/05kb8h459) Umeå, Sweden
                [4 ]Department of Nursing, Umeå University, ( https://ror.org/05kb8h459) Umeå, Sweden
                [5 ]Department of Diagnostics and Intervention, Umeå University, ( https://ror.org/05kb8h459) Umeå, Sweden
                Author information
                https://orcid.org/0000-0003-1541-214X
                https://orcid.org/0000-0003-2654-0235
                Article
                11175
                10.1186/s12913-024-11175-w
                11184813
                38890678
                278a432a-63d9-48ce-94c1-8e4d89814fc5
                © The Author(s) 2024

                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.

                History
                : 18 April 2024
                : 5 June 2024
                Funding
                Funded by: European Union's Horizon 2020 Research and Innovation Program.
                Award ID: 101021775
                Award ID: 101021775
                Award ID: 101021775
                Award ID: 101021775
                Award ID: 101021775
                Award ID: 101021775
                Award ID: 101021775
                Award Recipient :
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Health & Social care
                disaster training,mass casualty incidents,emergency medical services,simulation,self-efficacy

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