Spatial Analysis of Healthcare Facilities in Hawul Local Government Area, Borno State, Nigeria
AbstractThis study spatially analysed healthcare facilities in Hawul local government area of Borno state, Nigeria. Ballot method of random sampling technique was used to choose wards for the study. The wards chosen were; Hizhibwala, Sakwa, Marama/Kidang, Kwaya-Bura, Shaffa, and Bilingwi, A total of 100 copies questionnaires were administered to the residents in these chosen wards to assess the importance of health care facilities. The geo-location of the healthcare facilities were collected using a hand-held Global Positioning System, analysis of data was done in the six selected ward. A spatial database of the Public Health Care Facilities using ArcGIS 10.3 software was created using the attribute data derived from the retrieved health care facility questionnaire, these were compiled in SPSS and linked with the spatial data in ArcGIS for the spatial Analysis of health care facilities in the study area. From the analyses, it was revealed that there existed inadequacies in the availabilities of health facilities and personnel within the wards. The research showed that there are only two categories of health care facilities which were primary and secondary in the study area. Kwaya - Bura has the highest percentage [64.3%] of people who patronized Government facilities, followed by Shaffa [62.5%] then Hizhibwala with 60.0%. The patronage of government facilities by Kwaya Bura and Shaffa wards could be attributed to their low level of income as private facilities are usually known to have higher service charges. There exists inadequacy in facilities distribution and health personnel in the study area, it was observed that the available healthcare facilities were not well utilized due to distance, inadequacy of health personnel, equipment, level of income, level of education amongst others. It is therefore recommended that more healthcare facilities are built in the study area and more personnel be employed to work in the HCFs.Keyword: Healthcare Facilities, Wards, Health Personnel, ArcGIS
Copyright (c) 2020 Mashkurah Ahmed Usman, Usman Abba Habeeb, Faruk Ibrahim Gaya
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