Evaluating Medic Performance in Combat Casualty Care Simulation and Training: A Scoping Review of Prospective Research.

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Citation: Military Medicine. 2022 Aug 20PMID: 35986604Institution: MedStar Montgomery Medical CenterForm of publication: Journal ArticleMedline article type(s): Journal ArticleSubject headings: IN PROCESS -- NOT YET INDEXEDYear: 2022ISSN:
  • 0026-4075
Name of journal: Military medicineAbstract: CONCLUSIONS: This work provided a summary of recent peer-reviewed research related to medic simulation and training, and performance evaluation. This article should be used to contextualize existing research and inspire new research questions. Expanding and advancing research on medic simulation and training will help to ensure optimal casualty care at the front lines. Copyright Published by Oxford University Press on behalf of the Association of Military Surgeons of the United States 2022. This work is written by (a) US Government employee(s) and is in the public domain in the US.INTRODUCTION: Combat medics are required to perform highly technical medical procedures in austere environments with minimal error. Effective means to quantify medic performance in field and simulated environments are critical to optimize medic training procedures as well as to evaluate the influence of medical equipment and other supportive technologies on medic performance. Human performance evaluation in combat casualty care presents many unique challenges due to the unique environment (battlefields) and population (medics) that must be represented. Recent advances in simulation and measurement technology have presented opportunities to improve simulation fidelity and measurement quality; however, it is currently unclear to what extent these advances have been adopted in this domain.METHODOLOGY: In this work, a scoping review of recent (2011-2021) prospective research on Army medic (68 W and Special Operations) performance is presented. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines served as the framework for the review. The goal of this work was to summarize recent trends and practices and to illuminate opportunities for future work. Two human factors experts performed an exhaustive review of relevant, peer-reviewed literature and systematically identified articles for inclusion in the final analysis. The articles were examined in detail, and data elements of interest were extracted.RESULTS: Forty-eight articles were identified based on the defined inclusion criteria. Thirty three of the articles focused on technological evaluation, 25 focused on medic training procedures, and 5 focused on evaluating medical techniques. Study contributions were predominantly related to medic training materials/procedures and simulator technology. Supportive medical technologies, including telemedical systems, hemorrhage control devices, and ultrasound devices, also received significant attention. Timing was the most common metric used to quantify medic performance, followed by skill pass/fail ratings. There was a notable lack of neurophysiological data used to examine medic physical/cognitive workload during procedures, a growing practice in many other related domains. The most commonly simulated procedures were hemorrhage control, airway management, and thoracostomy. Notable limitations cited across articles were insufficient simulation fidelity, inadequate sample size or sample representativeness, and poor study design.All authors: Gaudaen JC, Knisely BM, Pamplin JC, Perta JM, Quinn MT, Schmidt PM, Smith AVFiscal year: FY2023Digital Object Identifier: Date added to catalog: 2022-10-20
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Journal Article MedStar Authors Catalog Article 35986604 Available 35986604

CONCLUSIONS: This work provided a summary of recent peer-reviewed research related to medic simulation and training, and performance evaluation. This article should be used to contextualize existing research and inspire new research questions. Expanding and advancing research on medic simulation and training will help to ensure optimal casualty care at the front lines. Copyright Published by Oxford University Press on behalf of the Association of Military Surgeons of the United States 2022. This work is written by (a) US Government employee(s) and is in the public domain in the US.

INTRODUCTION: Combat medics are required to perform highly technical medical procedures in austere environments with minimal error. Effective means to quantify medic performance in field and simulated environments are critical to optimize medic training procedures as well as to evaluate the influence of medical equipment and other supportive technologies on medic performance. Human performance evaluation in combat casualty care presents many unique challenges due to the unique environment (battlefields) and population (medics) that must be represented. Recent advances in simulation and measurement technology have presented opportunities to improve simulation fidelity and measurement quality; however, it is currently unclear to what extent these advances have been adopted in this domain.

METHODOLOGY: In this work, a scoping review of recent (2011-2021) prospective research on Army medic (68 W and Special Operations) performance is presented. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines served as the framework for the review. The goal of this work was to summarize recent trends and practices and to illuminate opportunities for future work. Two human factors experts performed an exhaustive review of relevant, peer-reviewed literature and systematically identified articles for inclusion in the final analysis. The articles were examined in detail, and data elements of interest were extracted.

RESULTS: Forty-eight articles were identified based on the defined inclusion criteria. Thirty three of the articles focused on technological evaluation, 25 focused on medic training procedures, and 5 focused on evaluating medical techniques. Study contributions were predominantly related to medic training materials/procedures and simulator technology. Supportive medical technologies, including telemedical systems, hemorrhage control devices, and ultrasound devices, also received significant attention. Timing was the most common metric used to quantify medic performance, followed by skill pass/fail ratings. There was a notable lack of neurophysiological data used to examine medic physical/cognitive workload during procedures, a growing practice in many other related domains. The most commonly simulated procedures were hemorrhage control, airway management, and thoracostomy. Notable limitations cited across articles were insufficient simulation fidelity, inadequate sample size or sample representativeness, and poor study design.

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