Impact of Traffic Congestion on Spatial Access to Healthcare Services in Nairobi: an ecological study DOI Creative Commons
Nyamai Mutono, Jim A. Wright, Mumbua Mutunga

et al.

Research Square (Research Square), Journal Year: 2021, Volume and Issue: unknown

Published: Oct. 1, 2021

Abstract Background Geographic accessibility is an important determinant of healthcare utilisation and critical for achievement universal health coverage. Despite the high disease burden severe traffic congestion in many African cities, few studies have assessed how impacts geographical access to facilities professionals these settings. Methods Using data on obtained from Ministry Health Kenya, we mapped 944 primary, 94 secondary four tertiary Nairobi County. We then used probe identify areas within a 15-, 30- 45-minute drive each facility during peak off-peak hours calculated proportion population with employed 2-step floating catchment area model calculate ratio times. Results During hours, <70% Nairobi’s 4.1 million was 30-minute facility. This increased >75% hours. In 45 minutes, majority had index one accessible more than 100 people (<0.01) primary care while 10,000 (<0.0001) at least two per 100,000 (>0.00002) respectively. Of facilities, sub-optimal <2.3 1000 observed offering Conclusion These findings can guide urban planners policymakers improving optimise coverage Similarly, growing availability cities should enable similar analysis other countries.

Language: Английский

Impact of Traffic Congestion on Spatial Access to Healthcare Services in Nairobi: an ecological study DOI Creative Commons
Nyamai Mutono, Jim A. Wright, Mumbua Mutunga

et al.

Research Square (Research Square), Journal Year: 2021, Volume and Issue: unknown

Published: Oct. 1, 2021

Abstract Background Geographic accessibility is an important determinant of healthcare utilisation and critical for achievement universal health coverage. Despite the high disease burden severe traffic congestion in many African cities, few studies have assessed how impacts geographical access to facilities professionals these settings. Methods Using data on obtained from Ministry Health Kenya, we mapped 944 primary, 94 secondary four tertiary Nairobi County. We then used probe identify areas within a 15-, 30- 45-minute drive each facility during peak off-peak hours calculated proportion population with employed 2-step floating catchment area model calculate ratio times. Results During hours, <70% Nairobi’s 4.1 million was 30-minute facility. This increased >75% hours. In 45 minutes, majority had index one accessible more than 100 people (<0.01) primary care while 10,000 (<0.0001) at least two per 100,000 (>0.00002) respectively. Of facilities, sub-optimal <2.3 1000 observed offering Conclusion These findings can guide urban planners policymakers improving optimise coverage Similarly, growing availability cities should enable similar analysis other countries.

Language: Английский

Citations

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