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Determinants of time-to-recovery from hypertension by application of Weibull-Inverse Gaussian shared frailty model
Yeshambel Kindu Yihuna1, Nigist Mulu Takele2, Essey Kebede Muluneh2
1Department of Statistics, College of Natural and Computational Sciences, Debark University, Debark, Ethiopia.
Introduction:
hypertension is a major public health problem that is responsible for mortality. In Ethiopia, hypertension is becoming a double burden due to urbanization. The study aims to identify factors that affect the time to recovery from hypertension.
Methods:
in this study, a retrospective study design was used, and the data was collected in the patient´s chart from September 2016 to January 2018. Weibull-Inverse Gaussian shared frailty model was employed to identify factors associated with the recovery time of hypertension.
Results:
eighty-one percent of the sampled patients were recovered to a normal condition, and nineteen percent of the patients were censored. The median survival time for hypertensive patients to attain a normal condition was 13 months. Weibull-Inverse Gaussian shared frailty model was used for predicting the recovery time of hypertension patients. Unobserved heterogeneity in residences, as estimated by the Weibull-Inverse Gaussian shared frailty model, was θ = 0.385 and p-value = 0.00.
Conclusion:
age, systolic blood pressure, related disease, creatine, blood urea nitrogen, the interaction between blood urea nitrogen and age. Therefore, health-care providers give great attention, prioritize those identified factors and provide frequent counseling about reducing hypertension disease.
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