Observational studyBMJ global health2026
The 'golden hour': a geospatial analysis of travel time to public emergency departments in Kenya.
Observational study in BMJ global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Emergency triage in coastal Kenya: a survey of public Emergency Departments.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIn 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.
methodsUsing 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.
resultsApproximately 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).
conclusionsBy 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.
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Registered trials
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