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Employing High-Fidelity Simulation for the High-Risk, Low-Frequency Diagnosis and Management of Acute Radiation Syndrome (ARS)
INTRODUCTION: Acute radiation syndrome (ARS) is a high-risk, low-frequency diagnosis that can be fatal and is difficult to diagnose without an obvious history of ionizing radiation exposure. METHODS: Twenty-two emergency medicine residents and one pharmacy resident participated in an hour-long simul...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Association of American Medical Colleges
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394119/ https://www.ncbi.nlm.nih.gov/pubmed/37538304 http://dx.doi.org/10.15766/mep_2374-8265.11331 |
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author | Ebeling, Mel Bloom, Andrew Boggiano, Mary M. Peterson, Dawn Taylor Peterson, Todd |
author_facet | Ebeling, Mel Bloom, Andrew Boggiano, Mary M. Peterson, Dawn Taylor Peterson, Todd |
author_sort | Ebeling, Mel |
collection | PubMed |
description | INTRODUCTION: Acute radiation syndrome (ARS) is a high-risk, low-frequency diagnosis that can be fatal and is difficult to diagnose without an obvious history of ionizing radiation exposure. METHODS: Twenty-two emergency medicine residents and one pharmacy resident participated in an hour-long simulation session. To accommodate all learners, the simulation was conducted eight times over a block of scheduled time (two to four learners/session). Sessions included a prebriefing, pre/post questionnaires, the ARS case, and a debriefing. Learners evaluated and managed a 47-year-old male (manikin) with the hematopoietic and cutaneous subsyndromes of ARS who presented with hand pain/erythema/edema and underlying signs of infection 2 weeks after an unrecognized radiation exposure. Learners had to perform a history and physical, recognize/manage abnormal vitals, order/interpret labs, consult appropriate disciplines, and initiate supportive care. RESULTS: There was a mean reported increase in ability to recognize signs and symptoms of ARS (p < .001) and appropriately manage a patient with this condition (p = .03) even after controlling for baseline confidence in ability to make and manage uncommon diagnoses, respectively. Learners rated this simulation as a valuable learning experience, effective in teaching them how to diagnose and treat ARS, and one they would recommend to other health care professionals. DISCUSSION: This simulation aimed to teach the diagnosis and initial management of the hematopoietic and cutaneous subsyndromes of ARS. It should be used to increase awareness of the potential for ionizing radiation exposure under less obvious conditions and raise the index of suspicion for ARS in the undifferentiated patient. |
format | Online Article Text |
id | pubmed-10394119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Association of American Medical Colleges |
record_format | MEDLINE/PubMed |
spelling | pubmed-103941192023-08-03 Employing High-Fidelity Simulation for the High-Risk, Low-Frequency Diagnosis and Management of Acute Radiation Syndrome (ARS) Ebeling, Mel Bloom, Andrew Boggiano, Mary M. Peterson, Dawn Taylor Peterson, Todd MedEdPORTAL Original Publication INTRODUCTION: Acute radiation syndrome (ARS) is a high-risk, low-frequency diagnosis that can be fatal and is difficult to diagnose without an obvious history of ionizing radiation exposure. METHODS: Twenty-two emergency medicine residents and one pharmacy resident participated in an hour-long simulation session. To accommodate all learners, the simulation was conducted eight times over a block of scheduled time (two to four learners/session). Sessions included a prebriefing, pre/post questionnaires, the ARS case, and a debriefing. Learners evaluated and managed a 47-year-old male (manikin) with the hematopoietic and cutaneous subsyndromes of ARS who presented with hand pain/erythema/edema and underlying signs of infection 2 weeks after an unrecognized radiation exposure. Learners had to perform a history and physical, recognize/manage abnormal vitals, order/interpret labs, consult appropriate disciplines, and initiate supportive care. RESULTS: There was a mean reported increase in ability to recognize signs and symptoms of ARS (p < .001) and appropriately manage a patient with this condition (p = .03) even after controlling for baseline confidence in ability to make and manage uncommon diagnoses, respectively. Learners rated this simulation as a valuable learning experience, effective in teaching them how to diagnose and treat ARS, and one they would recommend to other health care professionals. DISCUSSION: This simulation aimed to teach the diagnosis and initial management of the hematopoietic and cutaneous subsyndromes of ARS. It should be used to increase awareness of the potential for ionizing radiation exposure under less obvious conditions and raise the index of suspicion for ARS in the undifferentiated patient. Association of American Medical Colleges 2023-08-02 /pmc/articles/PMC10394119/ /pubmed/37538304 http://dx.doi.org/10.15766/mep_2374-8265.11331 Text en © 2023 Ebeling et al. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access publication distributed under the terms of the Creative Commons Attribution-NonCommercial (https://creativecommons.org/licenses/by-nc/4.0/) license. |
spellingShingle | Original Publication Ebeling, Mel Bloom, Andrew Boggiano, Mary M. Peterson, Dawn Taylor Peterson, Todd Employing High-Fidelity Simulation for the High-Risk, Low-Frequency Diagnosis and Management of Acute Radiation Syndrome (ARS) |
title | Employing High-Fidelity Simulation for the High-Risk, Low-Frequency Diagnosis and Management of Acute Radiation Syndrome (ARS) |
title_full | Employing High-Fidelity Simulation for the High-Risk, Low-Frequency Diagnosis and Management of Acute Radiation Syndrome (ARS) |
title_fullStr | Employing High-Fidelity Simulation for the High-Risk, Low-Frequency Diagnosis and Management of Acute Radiation Syndrome (ARS) |
title_full_unstemmed | Employing High-Fidelity Simulation for the High-Risk, Low-Frequency Diagnosis and Management of Acute Radiation Syndrome (ARS) |
title_short | Employing High-Fidelity Simulation for the High-Risk, Low-Frequency Diagnosis and Management of Acute Radiation Syndrome (ARS) |
title_sort | employing high-fidelity simulation for the high-risk, low-frequency diagnosis and management of acute radiation syndrome (ars) |
topic | Original Publication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394119/ https://www.ncbi.nlm.nih.gov/pubmed/37538304 http://dx.doi.org/10.15766/mep_2374-8265.11331 |
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