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Seasonal geographical access to healthcare in Cross River State, Nigeria

Otu, Edet (2019) Seasonal geographical access to healthcare in Cross River State, Nigeria. PhD thesis, University of Sheffield.

[img] Text (PhD Thesis)
Edet_E_Otu_Seasonal_Geographical_Access_To_Healthcare_in_Cross_River_State_Nigeria.pdf
Restricted until 15 September 2021.

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Abstract

Background: Geographical access to healthcare is a significant public health issue in developing countries. The problem becomes more complicated in the wet season when road transport is usually interrupted due to flooding. However, healthcare care accessibility studies have largely ignored the seasonality of geographical access let alone associating it with disease outcomes or accommodating it in the plan to increase access to health services. Therefore, this study carried out a community-level investigation of seasonal geographical access to health facilities, its influence on malaria outcomes and on the potential locations of new health facilities. Method: A systematic review of geographical access to healthcare in Low-and-Middle-Income-Countries (LMICs) was conducted. Health facilities and road network data were obtained from the Local Authority. Facilities’ locations were digitised from high-resolution Orthophoto Map and Google Map. Data on the geographical distribution of the population were projected from the community-level census record. A flood model was used to measure access in the wet season by driving and walking times. Trips to health facilities and potential locations of new facilities were assessed using the ArcGIS Network Analyst Tool. Logistic regression in SPSS was used to examine associations between drive times to health facilities and malaria outcomes. Results: Average drive times to health facilities were longer in the wet season compared to the dry season. While the whole population could access health facilities in the dry season, 70%, 37% and 68% of the population could access PHC, hospitals and NHIS in the wet season respectively. There was no compelling evidence that the odds of malaria increased in the wet season, although there were a few associations. The dry season Location-Allocation Models (LAMs) produced better population coverage than the wet season. Conclusion: Measurement of geographical access without including the wet season can produce misleading results. Therefore, seasonal variability of geographical access should become an essential part of accessibility studies and healthcare planning.

Item Type: Thesis (PhD)
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield)
Depositing User: Dr Edet Otu
Date Deposited: 25 Sep 2019 09:19
Last Modified: 25 Sep 2019 09:19
URI: http://etheses.whiterose.ac.uk/id/eprint/24874

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