Validation of a predictive model for operative trauma experience to facilitate selection of trauma sustainment military-civilian partnerships.

military surgical training trauma/critical care

Journal

Trauma surgery & acute care open
ISSN: 2397-5776
Titre abrégé: Trauma Surg Acute Care Open
Pays: England
ID NLM: 101698646

Informations de publication

Date de publication:
2019
Historique:
received: 26 08 2019
revised: 10 10 2019
accepted: 04 11 2019
entrez: 4 1 2020
pubmed: 4 1 2020
medline: 4 1 2020
Statut: epublish

Résumé

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. 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. 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. 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. Economic and Value Based Evaluations Level II.

Sections du résumé

BACKGROUND 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 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 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 CONCLUSIONS
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 METHODS
Economic and Value Based Evaluations Level II.

Identifiants

pubmed: 31897438
doi: 10.1136/tsaco-2019-000373
pii: tsaco-2019-000373
pmc: PMC6924793
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e000373

Informations de copyright

© 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.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Références

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pubmed: 31058239
J Am Coll Surg. 2018 Jun;226(6):1190-1194
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Auteurs

Andrew Hall (A)

Department of Surgery, Saint Louis University Hospital, Eglin AFB, Florida, USA.

Iram Qureshi (I)

Department of Biomaterials & Epidemiology, Naval Medical Research Unit San Antonio, San Antonio, Texas, USA.

Jacob Glaser (J)

Department of Biomaterials & Epidemiology, Naval Medical Research Unit San Antonio, San Antonio, Texas, USA.

Eileen M Bulger (EM)

Department of Surgery, University of Washington, Seattle, Washington, USA.

Thomas Scalea (T)

Department of Surgery, R Adams Cowley Shock Trauma Center, Baltimore, Maryland, USA.

Stacy Shackelford (S)

Joint Trauma System, Defense Center of Excellence, San Antonio, Texas, USA.

Jennifer Gurney (J)

Joint Trauma System, Defense Center of Excellence, San Antonio, Texas, USA.

Classifications MeSH