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Using geographic information systems (GIS) to assess response intervals for diffuse community bystander-driven (Tier-1) emergency medical services integrated with emergency medical dispatch in Tanzania: an 8-year analysis

Revista

Injury

Fecha de publicación

30 de noviembre de 2025

Injury. 2025 Nov 26:112910. doi: 10.1016/j.injury.2025.112910. Online ahead of print.

INTRODUCTION: The global trauma burden disproportionately affects low- and middle-income countries(LMICs), which lack robust emergency medical services(EMS). The Global Prehospital Consortium determined Tier-1 EMS response intervals are a priority for investigation. On-scene response intervals for professional ambulance-driven Tier-2 EMS vary by density of centralized ambulance dispatch sites per population, requiring costly infrastructure to improve response times. Community bystander-driven (Tier-1) systems are less costly with diffuse and non-centrally dispatched responders. Therefore, we hypothesized Tier-1 EMS response intervals to emergencies are not distance-related, due to the inherent diffusion of Tier-1 responders.

METHODS: In 2016, Tanzania Rural Health Movement launched a Tier-1 lay first responder(LFR) program in Tanzania integrated with Beacon, a mobile emergency medical dispatch(EMD) platform. LFRs were provided with a two-day training course. Chief complaints, diurnal emergency variation, and response/triage/encounter intervals were prospectively recorded for analysis. GIS software (ArcGIS Pro 2.8) evaluated encounter latitude/longitude and distance from Mwanza city center, compared with response interval, using a logarithmic distribution for correlational analysis.

RESULTS: 1273 entries were prospectively catalogued (2017-2024). 60 encounters lacked ≥67 % data compliance, 136 lacked GPS coordinates, and 89 geographic/time outliers were excluded, leaving 988 encounters for analysis (77.6 %). Of chief complaints, 81.0 % were road traffic injury-related. Median dispatch to on-scene arrival interval = 1 minute 4 seconds (IQR:36s-5m9s) and median on-scene arrival to triage decision interval = 1 minute 2 seconds (IQR:37s-2m32s) (n = 988). There was no correlation between log (response time interval) and log (distance from Mwanza center) (r = 0.028, p = 0.380) (n = 1012).

CONCLUSIONS: In this community-based EMS model, response times were rapid and not associated with geographic distance, highlighting the effectiveness of decentralized Tier-1 systems when combined with mobile dispatch technology. These findings support the scalability of low-cost, bystander-driven EMS networks in LMICs without reliance on traditional costly dispatch infrastructure, offering a promising strategy to address the global trauma burden.

PubMed:41320615 | DOI:10.1016/j.injury.2025.112910

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El idioma original es este artículo es el inglés. Mediante el sistema de traducción automático de la IA de emergencing, el contenido se ha traducido al español. Esta es una traducción no supervisada por lo que puede que alguna parte del contenido no refleje con exactitud la publicación original del autor/autores.