Modeling time-to-good control of hypertension using Cox proportional hazard and frailty models at Bahir-Dar Felege Hiwot Referral Hospital
Year: 2017
Type: article
Study design: Observational Study
Abstract: Purpose: The main purpose of this study was to explore possible modeling approaches of time-to-good control of hypertension using Cox proportional hazard (Cox-PH) and frailty models, using data from Bahir-Dar Felege Hiwot Referral Hospital. Patients and methods: An institution-based retrospective cohort study was conducted in June 2014. The study population consisted of all hypertensive patients who had visited the hospital at least three times between January 1, 2009, to December 31, 2013. Five hundred patients were selected using simple random sampling. The data were collected by trained data collectors using a checklist. Statistical Package for the Social Sciences version 20 and R software were used for data entry and to process the data, respectively. First, a single covariate analysis was done using Cox-PH and univariate frailty models. Then, all variables that were significant were included in the multivariable analysis. Results: The median survival time of hypertensive patients to attain good control was 48 months, and the mean survival time was 43.6 months. Age and systolic blood pressure (SBP) of patients had a negative relationship with the outcome. However, fasting blood sugar (FBS) had a positive relationship with the outcome. Moreover, the results showed that the progression of outcome depended on the patient’s age. Conclusion: Cox-PH-based analysis revealed that the factors that affected good control of hypertensive patients were age, SBP, FBS, and creatinine. The result of the univariate frailty analysis showed that there was unobserved heterogeneity between individuals in the study setup, which indicated that there were unmeasured covariates. Keywords: hypertension, time-to-event, Cox proportional hazard, frailty model, Schoenfeld residuals, good control of hypertension
Source: Open Access Medical Statistics
DOI: 10.2147/oams.s128088
Authors: Ergoye Melese Sendek, Sultan Hussen Hebo
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
Funder: Ministry of Education, Ethiopia
OpenAlex ID: W2611339244
