Incremental gains in response time with varying base location types for drone-delivered automated external defibrillators.


Journal

Resuscitation
ISSN: 1873-1570
Titre abrégé: Resuscitation
Pays: Ireland
ID NLM: 0332173

Informations de publication

Date de publication:
05 2022
Historique:
received: 07 02 2022
revised: 08 03 2022
accepted: 13 03 2022
pubmed: 23 3 2022
medline: 29 4 2022
entrez: 22 3 2022
Statut: ppublish

Résumé

Drone-delivered automated external defibrillators (AEDs) may reduce delays to defibrillation for out-of-hospital cardiac arrests (OHCAs). We sought to determine how integration of drones and selection of drone bases between emergency service stations (i.e., paramedic, fire, police) would affect 9-1-1 call-to-arrival intervals. We identified all treated OHCAs in southern Vancouver Island, British Columbia, Canada from Jan. 2014 to Dec. 2020. We developed mathematical models to select 1-5 optimal drone base locations from each of: paramedic stations, fire stations, police stations, or an unrestricted grid-based set of points to minimize drone travel time to OHCAs. We evaluated models on the estimated first response interval assuming that drones were integrated with existing OHCA response. We compared median response intervals with historical response, as well as across drone base locations. A total of 1610 OHCAs were included in the study with a historical median response interval of 6.4 minutes (IQR 5.0-8.6). All drone-integrated response systems significantly reduced the median response interval to 4.2-5.4 minutes (all P < 0.001), with grid-based stations using 5 drones resulting in the lowest response interval (4.2 minutes). Median response times between drone base location types differed by 6-16 seconds, all comparisons of which were statistically significant (all P < 0.02). Integrating drone-delivered AEDs into OHCA response may reduce first response intervals, even with a small quantity of drones. Implementing drone response with only one emergency service resulted in similar response metrics regardless of the emergency service hosting the drone base and was competitive with unrestricted drone base locations.

Identifiants

pubmed: 35314210
pii: S0300-9572(22)00081-8
doi: 10.1016/j.resuscitation.2022.03.013
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

24-30

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

K H Benjamin Leung (KHB)

Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.

Brian Grunau (B)

Centre for Health Evaluation and Outcome Sciences, University of British Columbia, Vancouver, BC, Canada; Department of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada; British Columbia Emergency Health Services, Victoria, BC, Canada.

Rahaf Al Assil (R)

Centre for Health Evaluation and Outcome Sciences, University of British Columbia, Vancouver, BC, Canada.

Matthieu Heidet (M)

Assistance Publique - Hôpitaux de Paris (AP-HP), Emergency Department, Hôpitaux Universitaires Henri Mondor, Créteil, France.

Li Danny Liang (LD)

Department of Emergency Medicine, University of Calgary, Calgary, AB, Canada.

Jon Deakin (J)

British Columbia Emergency Health Services, Victoria, BC, Canada.

Jim Christenson (J)

Centre for Health Evaluation and Outcome Sciences, University of British Columbia, Vancouver, BC, Canada; Department of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.

Sheldon Cheskes (S)

Division of Emergency Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada; Sunnybrook Centre for Prehospital Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.

Timothy C Y Chan (TCY)

Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.

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Classifications MeSH