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Objective model to facilitate designation of military–civilian partnership hospitals for sustainment of military trauma readiness
BACKGROUND: A major dilemma of the military surgeon is the requirement for battlefield trauma expertise without regular exposure to a traumatically injured patient. To solve this problem, the military is partnering with civilian trauma centers to obtain the required trauma exposure. The main objecti...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6461135/ https://www.ncbi.nlm.nih.gov/pubmed/31058239 http://dx.doi.org/10.1136/tsaco-2018-000274 |
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author | Hall, Andrew Qureshi, Iram Shackelford, Stacy Glaser, Jacob Bulger, Eileen M Scalea, Thomas Gurney, Jennifer |
author_facet | Hall, Andrew Qureshi, Iram Shackelford, Stacy Glaser, Jacob Bulger, Eileen M Scalea, Thomas Gurney, Jennifer |
author_sort | Hall, Andrew |
collection | PubMed |
description | BACKGROUND: A major dilemma of the military surgeon is the requirement for battlefield trauma expertise without regular exposure to a traumatically injured patient. To solve this problem, the military is partnering with civilian trauma centers to obtain the required trauma exposure. The main objective of this article is to quantify institutional differences and develop a predictive model for estimating the number of 24-hour trauma shifts a surgeon must be on call at civilian centers to experience urgent trauma cases. METHODS: Trauma databases from multiple institutions were queried to obtain all urgent trauma cases occurring during a 2-year period. A predictive model was used to estimate the number of urgent surgical cases in multiple specialties surgeons would experience over various numbers of 24-hour shifts and the number of 24-hour shifts required to experience a defined number of cases. RESULTS: Institution 1 had the lowest number of required 24-hour shifts to experience 10 urgent operative cases for general/trauma surgery (10 calls) and orthopedic surgery (6 calls) and the highest number of predicted cases over 12 days, 18.3 (95% CI 11 to 27), with 95% confidence. The expected trauma cases and 24-hour shifts at Institution 1 were statistically significant (p<0.0001). There were seasonal effects at all institutions except for Institution 3. DISCUSSION: There are significant variabilities in trauma center volume and therefore, the expected number of shifts and cases during a specific period of time is significantly different between trauma centers. This predictive model is objective and can therefore be used as an extrapolative tool to help and inform the military regarding placement of personnel in optimal centers for trauma currency rotations. LEVEL OF EVIDENCE: Economic and value-based evaluations, level II. |
format | Online Article Text |
id | pubmed-6461135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-64611352019-05-03 Objective model to facilitate designation of military–civilian partnership hospitals for sustainment of military trauma readiness Hall, Andrew Qureshi, Iram Shackelford, Stacy Glaser, Jacob Bulger, Eileen M Scalea, Thomas Gurney, Jennifer Trauma Surg Acute Care Open Original Article BACKGROUND: A major dilemma of the military surgeon is the requirement for battlefield trauma expertise without regular exposure to a traumatically injured patient. To solve this problem, the military is partnering with civilian trauma centers to obtain the required trauma exposure. The main objective of this article is to quantify institutional differences and develop a predictive model for estimating the number of 24-hour trauma shifts a surgeon must be on call at civilian centers to experience urgent trauma cases. METHODS: Trauma databases from multiple institutions were queried to obtain all urgent trauma cases occurring during a 2-year period. A predictive model was used to estimate the number of urgent surgical cases in multiple specialties surgeons would experience over various numbers of 24-hour shifts and the number of 24-hour shifts required to experience a defined number of cases. RESULTS: Institution 1 had the lowest number of required 24-hour shifts to experience 10 urgent operative cases for general/trauma surgery (10 calls) and orthopedic surgery (6 calls) and the highest number of predicted cases over 12 days, 18.3 (95% CI 11 to 27), with 95% confidence. The expected trauma cases and 24-hour shifts at Institution 1 were statistically significant (p<0.0001). There were seasonal effects at all institutions except for Institution 3. DISCUSSION: There are significant variabilities in trauma center volume and therefore, the expected number of shifts and cases during a specific period of time is significantly different between trauma centers. This predictive model is objective and can therefore be used as an extrapolative tool to help and inform the military regarding placement of personnel in optimal centers for trauma currency rotations. LEVEL OF EVIDENCE: Economic and value-based evaluations, level II. BMJ Publishing Group 2019-03-06 /pmc/articles/PMC6461135/ /pubmed/31058239 http://dx.doi.org/10.1136/tsaco-2018-000274 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Original Article Hall, Andrew Qureshi, Iram Shackelford, Stacy Glaser, Jacob Bulger, Eileen M Scalea, Thomas Gurney, Jennifer Objective model to facilitate designation of military–civilian partnership hospitals for sustainment of military trauma readiness |
title | Objective model to facilitate designation of military–civilian partnership hospitals for sustainment of military trauma readiness |
title_full | Objective model to facilitate designation of military–civilian partnership hospitals for sustainment of military trauma readiness |
title_fullStr | Objective model to facilitate designation of military–civilian partnership hospitals for sustainment of military trauma readiness |
title_full_unstemmed | Objective model to facilitate designation of military–civilian partnership hospitals for sustainment of military trauma readiness |
title_short | Objective model to facilitate designation of military–civilian partnership hospitals for sustainment of military trauma readiness |
title_sort | objective model to facilitate designation of military–civilian partnership hospitals for sustainment of military trauma readiness |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6461135/ https://www.ncbi.nlm.nih.gov/pubmed/31058239 http://dx.doi.org/10.1136/tsaco-2018-000274 |
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