Determinants of time-to-recovery from hypertension by application of Weibull-Inverse Gaussian shared frailty model

Author:

Yihuna yeshambel1ORCID,Takele Nigist,Muluneh Essey

Affiliation:

1. debark university

Abstract

Abstract Hypertension is a major public health problem that is responsible for morbidity and mortality. In Ethiopia hypertension is becoming a double burden due to urbanization. The aim of the study is to identify factors that affect time-to-recovery from hypertension. 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. Accelerated failure time, and parametric shared frailty models were employed to identify factors associated with the recovery time of hypertension patients. Eighty one percent of sampled patients were recovered to normal condition and nineteen percent of patients were censored observations. The median survival time of hypertensive patients to attain normal condition was 13 months. Weibull- inverse Gaussian shared frailty model which was found to be the best model for predicting recovery time of hypertension patients. Unobserved heterogeneity in residences as estimated by the Weibull-Inverse Gaussian shared frailty model was θ = 0.385 (p-value = 0.00). Predictor age, systolic blood pressure, related disease, creatine, blood urea nitrogen, and the interaction between blood urea nitrogen and age were the determinant factors of the recovery status of patients. Therefore, health-care providers give great attention and priorities those identified factors and forward frequent counseling about reducing hypertension disease.

Publisher

Research Square Platform LLC

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