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Analysis of distribution, capacity and utilization of public health facilities in Borno, North-Eastern Nigeria

INTRODUCTION: This study aimed to analyze the spatial distribution and capacities of public health facilities and assess utilization of the facilities in Biu area of Borno State, Nigeria. METHODS: A descriptive survey of health facilities and households were conducted by stratifying the area into 11...

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Autores principales: Aliyu, Usman Alhaji, Kolo, Mustapha Adam, Chutiyami, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The African Field Epidemiology Network 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7247908/
https://www.ncbi.nlm.nih.gov/pubmed/32537049
http://dx.doi.org/10.11604/pamj.2020.35.39.17828
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author Aliyu, Usman Alhaji
Kolo, Mustapha Adam
Chutiyami, Muhammad
author_facet Aliyu, Usman Alhaji
Kolo, Mustapha Adam
Chutiyami, Muhammad
author_sort Aliyu, Usman Alhaji
collection PubMed
description INTRODUCTION: This study aimed to analyze the spatial distribution and capacities of public health facilities and assess utilization of the facilities in Biu area of Borno State, Nigeria. METHODS: A descriptive survey of health facilities and households were conducted by stratifying the area into 11 electoral wards. Data collection instruments include a hand-held GPS (Garmin 76CSx) and 2 sets of structured questionnaires (facility and household). The hand-held GPS was used in taking the coordinates of each health facility in the area. Twenty-five facility-based and 400 household-based questionnaires were administered. RESULTS: It was identified that 138 public health personnel serve the area’s population of 240,838. Medical professionals (doctors/nurses/midwives) to patient ratio is 1:2973, about 7 times less than the minimum WHO recommendation of 2.5 medical personal per 1000 population. Uneven distribution of facilities exists, which impact on utilisation. For instance, a ward (Mandaragrau) with a population of 18,732 have 5 facilities (4 dispensaries and 1 primary health care) in comparison to a ward (Miringa) with a population of 21,343 with only one Dispensary. Income level and distance were significant socio-economic factors affecting service utilisation (p < 0.001). Area’s households Gini index was 26.7, most of which (49.7%) survive on less than USD2/day and majority (33.6%) spend an average cost of treatment of ₦2,750 (approx. $8) per clinic visit. CONCLUSION: It was concluded that insufficiency and inequity in distribution of healthcare services exist in Borno State. It is thus recommended that future policies be directed toward improving healthcare in under-served areas.
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spelling pubmed-72479082020-06-11 Analysis of distribution, capacity and utilization of public health facilities in Borno, North-Eastern Nigeria Aliyu, Usman Alhaji Kolo, Mustapha Adam Chutiyami, Muhammad Pan Afr Med J Research INTRODUCTION: This study aimed to analyze the spatial distribution and capacities of public health facilities and assess utilization of the facilities in Biu area of Borno State, Nigeria. METHODS: A descriptive survey of health facilities and households were conducted by stratifying the area into 11 electoral wards. Data collection instruments include a hand-held GPS (Garmin 76CSx) and 2 sets of structured questionnaires (facility and household). The hand-held GPS was used in taking the coordinates of each health facility in the area. Twenty-five facility-based and 400 household-based questionnaires were administered. RESULTS: It was identified that 138 public health personnel serve the area’s population of 240,838. Medical professionals (doctors/nurses/midwives) to patient ratio is 1:2973, about 7 times less than the minimum WHO recommendation of 2.5 medical personal per 1000 population. Uneven distribution of facilities exists, which impact on utilisation. For instance, a ward (Mandaragrau) with a population of 18,732 have 5 facilities (4 dispensaries and 1 primary health care) in comparison to a ward (Miringa) with a population of 21,343 with only one Dispensary. Income level and distance were significant socio-economic factors affecting service utilisation (p < 0.001). Area’s households Gini index was 26.7, most of which (49.7%) survive on less than USD2/day and majority (33.6%) spend an average cost of treatment of ₦2,750 (approx. $8) per clinic visit. CONCLUSION: It was concluded that insufficiency and inequity in distribution of healthcare services exist in Borno State. It is thus recommended that future policies be directed toward improving healthcare in under-served areas. The African Field Epidemiology Network 2020-02-12 /pmc/articles/PMC7247908/ /pubmed/32537049 http://dx.doi.org/10.11604/pamj.2020.35.39.17828 Text en © Usman Alhaji Aliyu et al. http://creativecommons.org/licenses/by/2.0/ The Pan African Medical Journal - ISSN 1937-8688. This is an Open Access article distributed under the terms of the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Aliyu, Usman Alhaji
Kolo, Mustapha Adam
Chutiyami, Muhammad
Analysis of distribution, capacity and utilization of public health facilities in Borno, North-Eastern Nigeria
title Analysis of distribution, capacity and utilization of public health facilities in Borno, North-Eastern Nigeria
title_full Analysis of distribution, capacity and utilization of public health facilities in Borno, North-Eastern Nigeria
title_fullStr Analysis of distribution, capacity and utilization of public health facilities in Borno, North-Eastern Nigeria
title_full_unstemmed Analysis of distribution, capacity and utilization of public health facilities in Borno, North-Eastern Nigeria
title_short Analysis of distribution, capacity and utilization of public health facilities in Borno, North-Eastern Nigeria
title_sort analysis of distribution, capacity and utilization of public health facilities in borno, north-eastern nigeria
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7247908/
https://www.ncbi.nlm.nih.gov/pubmed/32537049
http://dx.doi.org/10.11604/pamj.2020.35.39.17828
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