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Validation of a predictive model for operative trauma experience to facilitate selection of trauma sustainment military–civilian partnerships
BACKGROUND: Trauma readiness is a Department of Defense requirement for military healthcare providers. Surgeons must maintain readiness to optimize surgical care on the battlefield and minimize preventable death. The objective of this study was to validate a predictive model for trauma operative exp...
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/PMC6924793/ https://www.ncbi.nlm.nih.gov/pubmed/31897438 http://dx.doi.org/10.1136/tsaco-2019-000373 |
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author | Hall, Andrew Qureshi, Iram Glaser, Jacob Bulger, Eileen M Scalea, Thomas Shackelford, Stacy Gurney, Jennifer |
author_facet | Hall, Andrew Qureshi, Iram Glaser, Jacob Bulger, Eileen M Scalea, Thomas Shackelford, Stacy Gurney, Jennifer |
author_sort | Hall, Andrew |
collection | PubMed |
description | BACKGROUND: Trauma readiness is a Department of Defense requirement for military healthcare providers. Surgeons must maintain readiness to optimize surgical care on the battlefield and minimize preventable death. The objective of this study was to validate a predictive model for trauma operative exposure by applying the model prospectively. METHODS: The predictive model for operative trauma exposure was prospectively applied to predict the number of emergent operative cases that would be experienced over predetermined time periods at four separate trauma sustainment military–civilian partnerships (TS-MCP). Notional courses were designed to be 2 or 4 weeks long and consisting of 5 and 12 overnight call periods, respectively. A total of 51 separate 2-week courses and 49 4-week courses were evaluated using the model. The outcome measure was the number of urgent (occurring within a day of arrival) operative trauma cases. RESULTS: Trauma/general surgery case volumes during call periods of notional courses were within the predicted range at least 98% of the time. Orthopedic volumes were more variable with a range of 82%–98% meeting expectation depending on the course length and institution. CONCLUSION: The previously defined model accurately predicted the number of urgent trauma/general surgery cases course participants would likely experience when applied prospectively to TS-MCP; however, the model was less accurate in predicting acute orthopedic trauma exposure. While it remains unknown how many cases need to be performed meet a trauma sustainment requirement, having a model with a predictive capability for case volume will facilitate metric development. This model may be useful when planning for future TS-MCP. LEVEL OF EVIDENCE: Economic and Value Based Evaluations Level II |
format | Online Article Text |
id | pubmed-6924793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-69247932020-01-02 Validation of a predictive model for operative trauma experience to facilitate selection of trauma sustainment military–civilian partnerships Hall, Andrew Qureshi, Iram Glaser, Jacob Bulger, Eileen M Scalea, Thomas Shackelford, Stacy Gurney, Jennifer Trauma Surg Acute Care Open Original Research BACKGROUND: Trauma readiness is a Department of Defense requirement for military healthcare providers. Surgeons must maintain readiness to optimize surgical care on the battlefield and minimize preventable death. The objective of this study was to validate a predictive model for trauma operative exposure by applying the model prospectively. METHODS: The predictive model for operative trauma exposure was prospectively applied to predict the number of emergent operative cases that would be experienced over predetermined time periods at four separate trauma sustainment military–civilian partnerships (TS-MCP). Notional courses were designed to be 2 or 4 weeks long and consisting of 5 and 12 overnight call periods, respectively. A total of 51 separate 2-week courses and 49 4-week courses were evaluated using the model. The outcome measure was the number of urgent (occurring within a day of arrival) operative trauma cases. RESULTS: Trauma/general surgery case volumes during call periods of notional courses were within the predicted range at least 98% of the time. Orthopedic volumes were more variable with a range of 82%–98% meeting expectation depending on the course length and institution. CONCLUSION: The previously defined model accurately predicted the number of urgent trauma/general surgery cases course participants would likely experience when applied prospectively to TS-MCP; however, the model was less accurate in predicting acute orthopedic trauma exposure. While it remains unknown how many cases need to be performed meet a trauma sustainment requirement, having a model with a predictive capability for case volume will facilitate metric development. This model may be useful when planning for future TS-MCP. LEVEL OF EVIDENCE: Economic and Value Based Evaluations Level II BMJ Publishing Group 2019-12-18 /pmc/articles/PMC6924793/ /pubmed/31897438 http://dx.doi.org/10.1136/tsaco-2019-000373 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 Research Hall, Andrew Qureshi, Iram Glaser, Jacob Bulger, Eileen M Scalea, Thomas Shackelford, Stacy Gurney, Jennifer Validation of a predictive model for operative trauma experience to facilitate selection of trauma sustainment military–civilian partnerships |
title | Validation of a predictive model for operative trauma experience to facilitate selection of trauma sustainment military–civilian partnerships |
title_full | Validation of a predictive model for operative trauma experience to facilitate selection of trauma sustainment military–civilian partnerships |
title_fullStr | Validation of a predictive model for operative trauma experience to facilitate selection of trauma sustainment military–civilian partnerships |
title_full_unstemmed | Validation of a predictive model for operative trauma experience to facilitate selection of trauma sustainment military–civilian partnerships |
title_short | Validation of a predictive model for operative trauma experience to facilitate selection of trauma sustainment military–civilian partnerships |
title_sort | validation of a predictive model for operative trauma experience to facilitate selection of trauma sustainment military–civilian partnerships |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924793/ https://www.ncbi.nlm.nih.gov/pubmed/31897438 http://dx.doi.org/10.1136/tsaco-2019-000373 |
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