The ‘golden hour’
A geospatial analysis of travel time to public emergency departments in Kenya
Bibliographic Data
| ID | 21880607 |
|---|---|
| Authors | Tushara Surapaneni (0009-0009-6131-527X, Yale University), Nancy Gakii Kinyua (0009-0007-7227-5862, Universitatea de Stat din Tiraspol), Benjamin W Wachira (0000-0002-9449-5416, Aga Khan University Nairobi), Benjamin Wachira (Aga Khan University Nairobi) |
| Year | 2026 |
| Volume | 11 |
| Issue | 3 |
| Pages | e019789 |
| Publication date | 2026-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMJ Global Health (JOURNAL) |
| Journal identifiers | ISSN: 2059-7908 • E-ISSN: 2059-7908 |
| Publisher | BMJ (PUBLISHER • GB) |
| DOI | 10.1136/bmjgh-2025-019789 |
| PMID | 41807020 |
| OpenAlex | W7134922168 |
| Language | EN |
| References cited | 37 |
INTRODUCTION: In Kenya and many other low- and middle-income countries, prehospital care systems are underdeveloped or entirely non-existent, leaving emergency departments (EDs) as the primary point of care for medical emergencies. The aim of this cross-sectional observational study was to use a geographic information system (GIS) to comprehensively analyse access to public EDs in Kenya within 1-hour and 2-hour travel times. METHODS: Using open-source GIS software, population, land cover, elevation and road network data were analysed to create maps of 1-hour and 2-hour travel time catchment areas around public EDs in Kenya. Travel time analysis was calculated using AccessMod with a combined walking and motorised transport model. RESULTS: Approximately 93.7% of Kenya's population has access to a public ED within 1 hour, and 98.2% within 2 hours. Of the 6.3% of the population lacking access to a public ED within 1 hour, many reside in rural areas with suboptimal road conditions. There was a significant difference in the proportions within 1-hour and 2-hour travel times across all counties (p<0.001). There was a weak association between the number of facilities in each county and the population proportion within 1 hour (ρ=0.237, p=0.109) and 2 hours (ρ=0.230, p=0.119). CONCLUSIONS: By mapping population distribution in Kenya against the availability of public EDs, geospatial analysis provides crucial insights into emergency care access gaps, guiding policymakers in identifying areas that require infrastructure investments or prehospital service enhancements
Emergency response · Geospatial analysis · Population · Public health · Disaster Management and Resilience · Facility Location and Emergency Management · Trauma and Emergency Care Studies · Emergency Medical Services
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| Highly cited | No |
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