scholarly journals Assessment of Health Related Quality of Life and Associated Factors among Hypertensive Patients on Treatment at Public Hospitals in Mekelle, North Ethiopia

2017 ◽  
Vol 06 (01) ◽  
Author(s):  
Alemayehu Hailu Jufar ◽  
Fiseha Girma Nuguse ◽  
Haftom Ghiwot Misgna
2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Muktar Abadiga ◽  
Getu Mosisa ◽  
Tadele Amente ◽  
Adugna Oluma

Abstract Objective The aim of this study was to assess health-related quality of life and its associated factors among epileptic patients in public hospitals of Wollega zones, Ethiopia. Institutional based cross-sectional study was conducted on 402 epileptic patients, from March 01 to March 30, 2018. Multiple linear regression with backward elimination was used, and all analyses were conducted at the 0.05 significance level. Results The overall mean total score on the WHOQOL-BREF scale was 60.47 with ± 23.07 SD. Monthly income ≤ 500 EB (β = − 12.49, P < 0.001), living alone (β = − 7.11, P = 0.007), adverse drug reaction (β = − 10.86, P < 0.001), comorbidity of anxiety (β = − 12.99, P < 0.001), perceived social stigma (β = − 9.73, P < 0.001) and frequency of seizure once per week (β = − 8.41, P = 0.001) were negatively associated with quality of life of epileptic patients. The mean quality of life of patients living with epilepsy in this study was low. The clinician should early recognize and treat drug side effects, detect and manage comorbidity, and control seizure in order to increase quality of life of epileptic patients.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247336
Author(s):  
Ayelign Mengesha Kassie ◽  
Biruk Beletew Abate ◽  
Mesfin Wudu Kassaw ◽  
Addisu Getie ◽  
Adam Wondmieneh ◽  
...  

Background Epilepsy is thought to be caused by witchcraft, evil spirit, and God’s punishment for sins in many developing countries. As a result, people with epilepsy and their families usually suffer from stigma, discrimination, depression, and other psychiatric problems. Thus, this study aimed to assess the quality of life and its associated factors among epileptic patients attending public hospitals in North Wollo Zone, Northeast Ethiopia. Methods An institution-based cross-sectional study design was employed in this study. A simple random sampling technique was utilized. Health-related quality of life was measured based on the total score of the Quality of Life in Epilepsy Inventory (QOLIE-31) instrument. Data were entered into Epi-data 3.1 statistical package and exported to SPSS Version 20 for further analysis. Linear regression models were used to assess the relationship between quality of life and the independent variables. Statistically significant values were declared at a P-value of < 0.05. Results A total of 395 patients participated in the study making the response rate 98.5%. The mean age of the participants was 32.39 ±10.71 years. More than half, 199 (50.4%) of epileptic patients had an overall weighted average health related quality of life score of mean and above. Male sex (B = 4.34, 95%CI, 0.41, 8.27, P = 0.03), higher educational status (B = 7.18, 95%CI, 1.39, 13.00, P = 0.015) and age at onset of epilepsy (B = 0.237, 95%CI, 0.02, 0.45, P = 0.035) were associated with increased health related quality of life score. On the other hand, family history of epilepsy (B = -4.78, 95%CI,-9.24,-0.33, P = 0.035), uncontrolled seizure (B = -11.08, 95%CI,-15.11,-7.05, P < 0.001), more than 5 pre-treatment number of seizures (B = -4.86, 95%CI,-8.91,-0.81, P = 0.019), poor drug adherence (B = -11.65, 95%CI,-16.06,-7.23, P < 0.001), having moderate (B = -4.526, 95%CI,-8.59,-0.46, P = 0.029) to sever (B = -12.84, 95%CI,-18.30,-7.37, P < 0.001) anxiety and depression, believing that epilepsy is caused by evil spirit (B = -7.04, 95%CI,-11.46,-2.61, P = 0.002), drinking alcohol (B = -5.42, 95%CI,-10.72,-0.13, P = 0.045), and having other co-morbidities (B = -9.35, 95%CI,-14.35,-4.36, P < 0.001) were significantly negatively associated with the health related quality of life score among epileptic patients. Conclusions Only around half of the epileptic patients have a good health-related quality of life. In addition, multiple variables including family history, uncontrolled seizure, and poor drug adherence were associated with quality of life among epileptic patients. Hence, targeting these variables in epilepsy management is recommended.


2020 ◽  
Author(s):  
Yanbing Zeng ◽  
Chenxi Lin ◽  
Fan Chen ◽  
Ya Fang

Abstract Background: A low HRQOL can be a risk factor for future cardiovascular events in patients with hypertension. Therefore, HRQOL should receive attention and be improved in the treatment of hypertension. The purpose of this study was to investigate if the association between treatment groups and Health-Related Quality of Life (HRQOL) of hypertension mediated by self-management, and to determine which factors of hypertension self-management influenced HRQOL. Methods: Hypertensive patients were selected by multi-stage stratified samping from “1+1+N” Physicians intervention (PI) group and the conventional management (CM) group in 5 communities of Xiamen, China. Patients were cross-sectionally assessed by validated self-reports using self-management Behavior Rating Scale and Quality of Life Instruments for Hypertension. A structural equation modeling (SEM) and a path analytic model were used to assess if the association between treatment groups and HRQOL was mediated by self-management. Results: A total of 1207 patients were included, of whom 48.55% were in the PI group. The average score of the HRQOL scale was 86.68, and the average score of the PI group was higher than the CM group (87.35 vs 86.04, respectively). Similar findings were observed for the self-management scale, in which the average score of the PI group was higher than the CM group (76.32 vs 72.00, respectively). Patients in the PI group had higher levels of self-management compared to the CM group except for management of emotion. SEM showed that the association between treatment groups and HRQOL was significantly mediated by self-management (a*b, 95% confidence intervals CI: 0.02,0.07) and that the single mediator (self-management) model explained 76.67% of the intervention effect. In the multivariable mediation model, the association between treatment groups and HRQOL was significantly mediated by management of medication adherence, sport and diet.Conclusions: The findings presented good evidence supporting that treatment groups are linked to HRQOL of hypertension via self-management. Specifically, management of medication adherence, sport, diet, and emotion are important for improving HRQOL.


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