Statistical analaysis of the Survival of Patients with Diabetes Mellitus: A Case Study at Nekemte Hospital, Wollega, Ethiopia (original) (raw)

Sampling design and sample size determination Th is study is based on retrospective study (i.e. all the eventsexposure had already occurred in the past), which reviews the patient ABSTRACT Diabetes Mellitus (DM) is a metabolic disorder characterized by chronic hyperglycemia. The International Diabetes Federation (IDF) suggests that the number of adults living with diabetes worldwide will further expand by 50.7% by 2030. Evidence shows that DM is claiming the lives of more than 4 million people worldwide annually and developing countries account for a substantially high proportion. Similar to other developing countries little is done to quantify the prevalence of chronic diseases and their risk factors in Ethiopia. The general objective of this study has been to model survival of diabetic patients who were under follow-up at Nekemte referral Hospital. This study incorporates secondary data. Of 1953 target population patient 354 are used and randomly selected from the study area. On parametric and semi parametric survival model are used in this study. In this study, a sample of 354 diabetic patients was considered. The medical cards of those patients were reviewed, out of which 160 were female and 194 were male. Among those patients 13.3% and 86.7% were died and censored respectively. The result of the study reveals that a sample of 354 diabetic patients was considered and of those patients was reviewed, out of which 160 were female and 194 were male. Among those patients 13.3% and 86.7% were died and censored respectively. The result of multivariable cox regression model reveals that Survival of diabetic patients was signifi cantly related with body mass index, alcohol use, tobacco use, type of diabetic disease diagnosed, blood pressure, and family history of diabetes mellitus. Therefore, it conclude that Patients involved in risky behaviors such as taking alcohol, smoking cigarette, overweight, high blood pressure, and positive family history of diabetics, have higher death rate. The cox proportional model is fi t the data well. This study recommend that the government and concerned bodies should work on perception about the disease and its signifi cant risk factors, so that patients should be well informed about the disease, early diagnose and to follow up their diabetes mellitus status to minimize the signifi cant risk of death.