EFFECT OF THE DISTANCES OF PUBLIC HEALTH FACILITIES FROM THE NEAREST MAJOR ROADS ON SKILLED DELIVERIES CONDUCTED IN KISUMU COUNTY, KENYA

The project sought to describe health facility accessibility and its effect on skilled delivery in Kisumu in line with the pillars of UHC. Proportion of skilled deliveries for 156 public health facilities conducted in 2016 was mined from DHIS2. Healthcare physical services accessibility was represen...

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Main Authors: K. Rombosia, E. Oele, N. Rangara, J. Mwaura, B. Mitto, E. Ondura, D. Onyango, C. Akoth
Format: Article
Language:English
Published: Copernicus Publications 2019-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W14/203/2019/isprs-archives-XLII-4-W14-203-2019.pdf
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spelling doaj-6eec14e2f3f4428e93e6decb9cd7afb92020-11-25T02:45:27ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-08-01XLII-4-W1420320710.5194/isprs-archives-XLII-4-W14-203-2019EFFECT OF THE DISTANCES OF PUBLIC HEALTH FACILITIES FROM THE NEAREST MAJOR ROADS ON SKILLED DELIVERIES CONDUCTED IN KISUMU COUNTY, KENYAK. Rombosia0E. Oele1N. Rangara2J. Mwaura3B. Mitto4E. Ondura5D. Onyango6C. Akoth7C. Akoth8Kisumu County Department of Health, KenyaKisumu County Department of Health, KenyaKisumu County Department of Health, KenyaCollege of Health Sciences Jomo Kenyatta University, Main Campus Juja, Kiambu, KenyaHIGDA, Morning Side Office Park, Nairobi, KenyaHIGDA, Morning Side Office Park, Nairobi, KenyaKisumu County Department of Health, KenyaCollege of Health Sciences Jomo Kenyatta University, Main Campus Juja, Kiambu, KenyaHIGDA, Morning Side Office Park, Nairobi, KenyaThe project sought to describe health facility accessibility and its effect on skilled delivery in Kisumu in line with the pillars of UHC. Proportion of skilled deliveries for 156 public health facilities conducted in 2016 was mined from DHIS2. Healthcare physical services accessibility was represented using a 5km radius fixed distance buffering around health facilities and the health facilities’ distances to the nearest major roads. Simple linear regression was then done between distances of the health facilities to their nearest major roads and skilled deliveries conducted in the health facilities. The mean skilled delivery was 42.5% (Median&thinsp;=&thinsp;45.8%, Range 0 to 358% and IQR&thinsp;=&thinsp;48.6%). There exist 4 pockets of underserved areas in Nyando, Nyakach and Muhoroni sub counties measuring 21&thinsp;km<sup>2</sup>, 52&thinsp;km<sup>2</sup>, 60&thinsp;km<sup>2</sup>, 65&thinsp;km<sup>2</sup> and 94&thinsp;km<sup>2</sup> respectively. Distance from the nearest road to skilled deliveries conducted, showed the R<sup>2</sup> value was 0.02. The study found out that underserved areas are located away from major roads. The mean skilled delivery was lower than the national of 65%. However some facilities exceeded 100%. This can be explained by in referrals that cause such facilities to exceed their projected workloads. The distance of a health facility to the nearest major road is inversely proportional to the skilled deliveries conducted meaning that the further a heath facility is from a major road, lesser the skilled deliveries conducted in that facility and vice versa. However, this model is weak in establishing such an effect because of the low R<sup>2</sup> value. In conclusion, there are pockets of underserved areas in Kisumu and distance of health facilities from the nearest major road does not significantly affect the conduct of skilled deliveries in Kisumu County.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W14/203/2019/isprs-archives-XLII-4-W14-203-2019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author K. Rombosia
E. Oele
N. Rangara
J. Mwaura
B. Mitto
E. Ondura
D. Onyango
C. Akoth
C. Akoth
spellingShingle K. Rombosia
E. Oele
N. Rangara
J. Mwaura
B. Mitto
E. Ondura
D. Onyango
C. Akoth
C. Akoth
EFFECT OF THE DISTANCES OF PUBLIC HEALTH FACILITIES FROM THE NEAREST MAJOR ROADS ON SKILLED DELIVERIES CONDUCTED IN KISUMU COUNTY, KENYA
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet K. Rombosia
E. Oele
N. Rangara
J. Mwaura
B. Mitto
E. Ondura
D. Onyango
C. Akoth
C. Akoth
author_sort K. Rombosia
title EFFECT OF THE DISTANCES OF PUBLIC HEALTH FACILITIES FROM THE NEAREST MAJOR ROADS ON SKILLED DELIVERIES CONDUCTED IN KISUMU COUNTY, KENYA
title_short EFFECT OF THE DISTANCES OF PUBLIC HEALTH FACILITIES FROM THE NEAREST MAJOR ROADS ON SKILLED DELIVERIES CONDUCTED IN KISUMU COUNTY, KENYA
title_full EFFECT OF THE DISTANCES OF PUBLIC HEALTH FACILITIES FROM THE NEAREST MAJOR ROADS ON SKILLED DELIVERIES CONDUCTED IN KISUMU COUNTY, KENYA
title_fullStr EFFECT OF THE DISTANCES OF PUBLIC HEALTH FACILITIES FROM THE NEAREST MAJOR ROADS ON SKILLED DELIVERIES CONDUCTED IN KISUMU COUNTY, KENYA
title_full_unstemmed EFFECT OF THE DISTANCES OF PUBLIC HEALTH FACILITIES FROM THE NEAREST MAJOR ROADS ON SKILLED DELIVERIES CONDUCTED IN KISUMU COUNTY, KENYA
title_sort effect of the distances of public health facilities from the nearest major roads on skilled deliveries conducted in kisumu county, kenya
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2019-08-01
description The project sought to describe health facility accessibility and its effect on skilled delivery in Kisumu in line with the pillars of UHC. Proportion of skilled deliveries for 156 public health facilities conducted in 2016 was mined from DHIS2. Healthcare physical services accessibility was represented using a 5km radius fixed distance buffering around health facilities and the health facilities’ distances to the nearest major roads. Simple linear regression was then done between distances of the health facilities to their nearest major roads and skilled deliveries conducted in the health facilities. The mean skilled delivery was 42.5% (Median&thinsp;=&thinsp;45.8%, Range 0 to 358% and IQR&thinsp;=&thinsp;48.6%). There exist 4 pockets of underserved areas in Nyando, Nyakach and Muhoroni sub counties measuring 21&thinsp;km<sup>2</sup>, 52&thinsp;km<sup>2</sup>, 60&thinsp;km<sup>2</sup>, 65&thinsp;km<sup>2</sup> and 94&thinsp;km<sup>2</sup> respectively. Distance from the nearest road to skilled deliveries conducted, showed the R<sup>2</sup> value was 0.02. The study found out that underserved areas are located away from major roads. The mean skilled delivery was lower than the national of 65%. However some facilities exceeded 100%. This can be explained by in referrals that cause such facilities to exceed their projected workloads. The distance of a health facility to the nearest major road is inversely proportional to the skilled deliveries conducted meaning that the further a heath facility is from a major road, lesser the skilled deliveries conducted in that facility and vice versa. However, this model is weak in establishing such an effect because of the low R<sup>2</sup> value. In conclusion, there are pockets of underserved areas in Kisumu and distance of health facilities from the nearest major road does not significantly affect the conduct of skilled deliveries in Kisumu County.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W14/203/2019/isprs-archives-XLII-4-W14-203-2019.pdf
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