ArticleInternational journal of health geographics2023
Geographic accessibility and hospital competition for emergency blood transfusion services in Bungoma, Western Kenya.
Article in International journal of health geographics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Facilitators and barriers to blood and blood product accessibility and use in sub-Saharan Africa: a systematic review.Frontiers in health services · 2026Pooled it
- Spatially varying relationships between birth registration and influencing factors in Kenya, using a suite of geographically weighted regressions.Spatial and spatio-temporal epidemiology · 2025Article
- Blood transfusion in percutaneous left atrial appendage occlusion: a nationwide analysis of incidence, predictors, and outcomes.BMC cardiovascular disorders · 2025Article
- Paediatric anaemia in rural Kenya and the role of travel time to emergency care services.Frontiers in epidemiology · 2025Article
- Simulating the blood transfusion system in Kenya: Modelling methods and exploratory analyses.PLOS global public health · 2025Article
- Accessibility evaluation and multi-scenario optimization of medical services in underdeveloped city driven by multi-source data and latest policies for China.Scientific reports · 2024Article
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Authors and funding
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Abstract
backgroundEstimating accessibility gaps to essential health interventions helps to allocate and prioritize health resources. Access to blood transfusion represents an important emergency health requirement. Here, we develop geo-spatial models of accessibility and competition to blood transfusion services in Bungoma County, Western Kenya.
methodsHospitals providing blood transfusion services in Bungoma were identified from an up-dated geo-coded facility database. AccessMod was used to define care-seeker's travel times to the nearest blood transfusion service. A spatial accessibility index for each enumeration area (EA) was defined using modelled travel time, population demand, and supply available at the hospital, assuming a uniform risk of emergency occurrence in the county. To identify populations marginalized from transfusion services, the number of people outside 1-h travel time and those residing in EAs with low accessibility indexes were computed at the sub-county level. Competition between the transfusing hospitals was estimated using a spatial competition index which provided a measure of the level of attractiveness of each hospital. To understand whether highly competitive facilities had better capacity for blood transfusion services, a correlation test between the computed competition metric and the blood units received and transfused at the hospital was done.
results15 hospitals in Bungoma county provide transfusion services, however these are unevenly distributed across the sub-counties. Average travel time to a blood transfusion centre in the county was 33 min and 5% of the population resided outside 1-h travel time. Based on the accessibility index, 38% of the EAs were classified to have low accessibility, representing 34% of the population, with one sub-county having the highest marginalized population. The computed competition index showed that hospitals in the urban areas had a spatial competitive advantage over those in rural areas.
conclusionThe modelled spatial accessibility has provided an improved understanding of health care gaps essential for health planning. Hospital competition has been illustrated to have some degree of influence in provision of health services hence should be considered as a significant external factor impacting the delivery, and re-design of available services.
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