Type | Thesis or Dissertation - Doctor of Philosophy |
Title | The spatial analysis of diagnosed chronic kidney disease in Nigeria: A case study of Edo State |
Author(s) | |
Publication (Day/Month/Year) | 2012 |
URL | http://etheses.whiterose.ac.uk/2296/2/Oviasu,_Osaretin.pdf |
Abstract | The thesis explores the severity of diagnosed chronic kidney disease (CKD) with particular reference to its impact in Edo state, Nigeria. There has been a scarcity of studies on the prevalence and spatial patterns of CKD in developing countries even though the costs of treatment at the late stage of the disease are extremely expensive and the inevitable outcome for the vast majority of sufferers is renal failure. CKD is a growing problem in Nigeria, presenting challenges to the nation’s health and economy. This thesis presents an analysis of 442 patients with CKD referred to the renal department at the University of Benin Teaching Hospital, Nigeria, which is currently the only fully functioning CKD treatment centre in Edo state. The research study evaluates the factors that are associated with the severity of CKD in Edo State as well as the temporal and spatial trends of diagnosed CKD across the state. The results of this thesis highlights the spatial distribution of diagnosed CKD and evaluates the likely predictors for the severity of CKD at the time of diagnosis in Edo State by examining the sociodemographic and known biological risk factors such as diagnosed hypertension, and diabetes. It also highlights the areas of concern regarding the spatial distribution of diagnosed CKD within the state. Although there are attempts at raising the awareness of CKD across the study area, many patients are still being diagnosed at the last stage of the disease. This means that there is the probability that many cases are left undetected until it is too late. ii The findings derived from this research study would be helpful both in the policy-making decisions that pertain to the health sector and the development of a healthcare accessibility model for CKD patients that could be beneficial in the location of new healthcare centres. |
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