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Exploring factors influencing time from dispatch to unit availability according to the transport decision in the pre-hospital setting: an exploratory study

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submitted on 2025-07-28, 08:37 and posted on 2025-07-28, 08:38 authored by Hassan Farhat, Ahmed Makhlouf, Padarath Gangaram, Kawther El Aifa, Mohamed Chaker Khenissi, Ian Howland, Cyrine Abid, Andre Jones, Ian Howard, Nicholas Castle, Loua Al Shaikh, Moncef Khadhraoui, Imed Gargouri, James Laughton, Guillaume Alinier
<h3>Background</h3><p dir="ltr">Efficient resource distribution is important. Despite extensive research on response timings within ambulance services, nuances of time from unit dispatch to becoming available still need to be explored. This study aimed to identify the determinants of the duration between ambulance dispatch and readiness to respond to the next case according to the patients’ transport decisions.</p><h3>Methods</h3><p dir="ltr">Time from ambulance dispatch to availability (TDA) analysis according to the patients’ transport decision (Transport versus Non-Transport) was conducted using R-Studio™ for a data set of 93,712 emergency calls managed by a Middle Eastern ambulance service from January to May 2023. Log-transformed Hazard Ratios (HR) were examined across diverse parameters. A Cox regression model was utilised to determine the influence of variables on TDA. Kaplan–Meier curves discerned potential variances in the time elapsed for both cohorts based on demographics and clinical indicators. A competing risk analysis assessed the probabilities of distinct outcomes occurring.</p><h3>Results</h3><p dir="ltr">The median duration of elapsed TDA was 173 min for the transported patients and 73 min for those not transported. The HR unveiled Significant associations in various demographic variables. The Kaplan–Meier curves revealed variances in TDA across different nationalities and age categories. In the competing risk analysis, the ‘Not Transported’ group demonstrated a higher incidence of prolonged TDA than the ‘Transported’ group at specified time points.</p><h3>Conclusions</h3><p dir="ltr">Exploring TDA offers a novel perspective on ambulance services’ efficiency. Though promising, the findings necessitate further exploration across diverse settings, ensuring broader applicability. Future research should consider a comprehensive range of variables to fully harness the utility of this period as a metric for healthcare excellence.</p><h2>Other Information</h2><p dir="ltr">Published in: BMC Emergency Medicine<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s12873-024-00992-1" target="_blank">https://dx.doi.org/10.1186/s12873-024-00992-1</a></p>

Funding

Open Access funding provided by the Qatar National Library.

History

Language

  • English

Publisher

Springer Nature

Publication Year

  • 2024

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Hamad Medical Corporation
  • Ambulance Service - HMC
  • Qatar University
  • College of Engineering - QU

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