Geographic accessibility and hospital competition for emergency blood transfusion services in Bungoma, Western Kenya

Abstract Background Estimating 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 trans...

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Main Authors: Eda Mumo, Nathan O. Agutu, Angela K. Moturi, Anitah Cherono, Samuel K. Muchiri, Robert W. Snow, Victor A. Alegana
Format: Article
Language:English
Published: BMC 2023-03-01
Series:International Journal of Health Geographics
Subjects:
Online Access:https://doi.org/10.1186/s12942-023-00327-6
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author Eda Mumo
Nathan O. Agutu
Angela K. Moturi
Anitah Cherono
Samuel K. Muchiri
Robert W. Snow
Victor A. Alegana
author_facet Eda Mumo
Nathan O. Agutu
Angela K. Moturi
Anitah Cherono
Samuel K. Muchiri
Robert W. Snow
Victor A. Alegana
author_sort Eda Mumo
collection DOAJ
description Abstract Background Estimating 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. Methods Hospitals 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. Results 15 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. Conclusion The 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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spelling doaj.art-6547ffe0ece4486bb5d7121b593ac61f2023-04-03T05:39:26ZengBMCInternational Journal of Health Geographics1476-072X2023-03-0122111310.1186/s12942-023-00327-6Geographic accessibility and hospital competition for emergency blood transfusion services in Bungoma, Western KenyaEda Mumo0Nathan O. Agutu1Angela K. Moturi2Anitah Cherono3Samuel K. Muchiri4Robert W. Snow5Victor A. Alegana6Population Health Unit, Kenya Medical Research Institute-Wellcome Trust Research ProgrammeDepartment of Geomatic Engineering and Geospatial Information System (GEGIS), Jomo Kenyatta University of Agriculture and Technology (JKUAT)Population Health Unit, Kenya Medical Research Institute-Wellcome Trust Research ProgrammePopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research ProgrammePopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research ProgrammePopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research ProgrammePopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research ProgrammeAbstract Background Estimating 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. Methods Hospitals 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. Results 15 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. Conclusion The 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.https://doi.org/10.1186/s12942-023-00327-6AccessibilitySpatial competitionBlood transfusionTravel timeEmergencyBungoma
spellingShingle Eda Mumo
Nathan O. Agutu
Angela K. Moturi
Anitah Cherono
Samuel K. Muchiri
Robert W. Snow
Victor A. Alegana
Geographic accessibility and hospital competition for emergency blood transfusion services in Bungoma, Western Kenya
International Journal of Health Geographics
Accessibility
Spatial competition
Blood transfusion
Travel time
Emergency
Bungoma
title Geographic accessibility and hospital competition for emergency blood transfusion services in Bungoma, Western Kenya
title_full Geographic accessibility and hospital competition for emergency blood transfusion services in Bungoma, Western Kenya
title_fullStr Geographic accessibility and hospital competition for emergency blood transfusion services in Bungoma, Western Kenya
title_full_unstemmed Geographic accessibility and hospital competition for emergency blood transfusion services in Bungoma, Western Kenya
title_short Geographic accessibility and hospital competition for emergency blood transfusion services in Bungoma, Western Kenya
title_sort geographic accessibility and hospital competition for emergency blood transfusion services in bungoma western kenya
topic Accessibility
Spatial competition
Blood transfusion
Travel time
Emergency
Bungoma
url https://doi.org/10.1186/s12942-023-00327-6
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