Geographic Coverage and Verification of Trauma Centers in a Rural State: Highlighting the Utility of Location Allocationfor Trauma System Planning.


Journal

Journal of the American College of Surgeons
ISSN: 1879-1190
Titre abrégé: J Am Coll Surg
Pays: United States
ID NLM: 9431305

Informations de publication

Date de publication:
01 2021
Historique:
received: 01 07 2020
revised: 11 08 2020
accepted: 31 08 2020
pubmed: 7 10 2020
medline: 15 9 2021
entrez: 6 10 2020
Statut: ppublish

Résumé

Care at verified trauma centers has improved survival and functional outcomes, yet determining the appropriate location of potential trauma centers is often driven by factors other than optimizing system-level patient care. Given the importance of transport time in trauma, we analyzed trauma transport patterns in a rural state lacking an organized trauma system and implemented a geographic information system to inform potential future trauma center locations. Data were collected on trauma ground transport during a 3-year period (2014 through 2016) from the Statewide Incident Reporting Network database. Geographic information system mapping and location-allocation modeling of the best-fit facility for trauma center verification was computed using trauma transport patterns, population density, road network layout, and 60-minute emergency medical services transport time based on current transport protocols. Location-allocation modeling identified 2 regional facilities positioned to become the next verified trauma centers. The proportion of the Vermont population without access to trauma center care within 60 minutes would be reduced from the current 29.68% to 5.81% if the identified facilities become verified centers. Through geospatial mapping and location-allocation modeling, we were able to identify gaps and suggest optimal trauma center locations to maximize population coverage in a rural state lacking a formal, organized trauma system. These findings could inform future decision-making for targeted capacity improvement and system design that emphasizes more equitable access to trauma center care in Vermont.

Sections du résumé

BACKGROUND
Care at verified trauma centers has improved survival and functional outcomes, yet determining the appropriate location of potential trauma centers is often driven by factors other than optimizing system-level patient care. Given the importance of transport time in trauma, we analyzed trauma transport patterns in a rural state lacking an organized trauma system and implemented a geographic information system to inform potential future trauma center locations.
STUDY DESIGN
Data were collected on trauma ground transport during a 3-year period (2014 through 2016) from the Statewide Incident Reporting Network database. Geographic information system mapping and location-allocation modeling of the best-fit facility for trauma center verification was computed using trauma transport patterns, population density, road network layout, and 60-minute emergency medical services transport time based on current transport protocols.
RESULTS
Location-allocation modeling identified 2 regional facilities positioned to become the next verified trauma centers. The proportion of the Vermont population without access to trauma center care within 60 minutes would be reduced from the current 29.68% to 5.81% if the identified facilities become verified centers.
CONCLUSIONS
Through geospatial mapping and location-allocation modeling, we were able to identify gaps and suggest optimal trauma center locations to maximize population coverage in a rural state lacking a formal, organized trauma system. These findings could inform future decision-making for targeted capacity improvement and system design that emphasizes more equitable access to trauma center care in Vermont.

Identifiants

pubmed: 33022398
pii: S1072-7515(20)32305-X
doi: 10.1016/j.jamcollsurg.2020.08.765
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-7

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Auteurs

Stas S Amato (SS)

Department of Surgery, Burlington, VT. Electronic address: Stas.Amato@gmail.com.

Jamie S Benson (JS)

Larner College of Medicine, College of Arts and Sciences, Burlington, VT.

Serena Murphy (S)

Department of Surgery, Burlington, VT.

Turner M Osler (TM)

Department of Surgery, Burlington, VT.

David Hosmer (D)

Department of Mathematics and Statistics, Burlington, VT.

Alan D Cook (AD)

University of Vermont, Burlington, VT; Department of Epidemiology and Biostatistics, University of Texas Health Science Center-Tyler, Tyler, TX.

Daniel L Wolfson (DL)

Division of Emergency Medicine, Burlington, VT.

Andrew Erb (A)

Department of Surgery, Burlington, VT.

Ajai Malhotra (A)

Department of Surgery, Burlington, VT.

Gary An (G)

Department of Surgery, Burlington, VT.

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