Application of Binomial Models on the Determinants of Hypertension Patients in Haramaya Woreda, Eastern Hararghe, Ethiopia

Introduction: Hypertension is along with a medical condition, in which the blood pressure in the arteries is high, which is a major health problem in the community. The main aim of the study was to assess the determinants associated with patients who experienced hypertension in Haramaya Woreda using a binomial model. Methods: A cross-sectional study design was conducted to assess the associated factors of hypertension patients’ complications in the Haramaya Hospital, Eastern Hararghe zone from December 1 st to 30th, 2020. Data were statistically analyzed using the statistical package for social sciences (SPSS) version-23 (SPSS Inc., USA). A sample of 1417 respondents having hypertension chronic disease was included. Statistical tools such as descriptive statistics, chi-square test of association, and binomial regression were used to summarize and interpret the hypertension patients’ dataset and a 5% level of significance was also used as a baseline comparison. Results: Both chi-square test of association and binomial model revealed that age group, gender, residence, presence of diabetes mellitus and congestive heart failure were significantly associated with hypertension patients at a 5% level of significance. Multivariable binomial regression model indicated that an estimated odd ratio(OR) with 95% confidence interval were age group of 21-30year3.502(95%CI=1.310-9.361),31-40year6.108(95%CI=2.364-15.782),41-50year 11.070(95%CI=4.276-28.661), 51-60 year 12.530(95% CI=4.890-32.107) and greater than 60 years 12.713(95%CI=4.827-33.482), being male (OR=1.859; 95%CI=1.320-2.617), living in rural (OR=0.545. 95%CI=0.381-0.778).The presence of diabetes mellitus (OR=0.028, 95%CI=0.019-0.040), and congestive heart failure (OR=0.017, 95%CI=0.009-0.032) are associated risk factors of hypertension patients. Conclusions: The main hypertension risk factors were age category, gender, residence, having diabetes mellitus, and congestive heart failure (p=0.0001). Those were significantly associated with hypertension in both the chi-square test of association and binomial model. To predict the participants being a hypertensive binomial model with logit link function best fit the dataset.