Quality of life and associated factors among patients with epilepsy at specialized hospitals, Northwest Ethiopia; 2019

Abstract

Background Epilepsy is a chronic non-communicable brain disorder and the second most burdensome disease in terms of disability-adjusted life years which is characterized by recurrent epileptic seizures, and a constant threat to the quality of life of the patient. Nearly 80% of people with epilepsy live in low- and middle-income countries and the risk of premature death in people with epilepsy is up to three times higher than for the general population. In many parts of the world, people with epilepsy and their families suffer from stigma and discrimination. This study was aimed to assess the quality of life and associated factors among adult people living with epilepsy using the world health organization quality of life assessment tool. Methods Institution-based cross-sectional study design was conducted on 419 epileptic patients using a systematic random sampling technique. The data were collected using the WHOQOL-BREF questionnaire. The data were entered into EpiData version 3.1 and exported to SPSS version 25 software for further analysis and bivariate and multivariable binary logistic regression analyses were done to identify factors associated with the dependent variable. The level of significance was declared as P value <0.05. Result A total of 402 epileptic patients with a median age of 28 years were involved in the study. The result of this study was revealed that 47.8% (95% CI: 42%, 52%) of the respondents had poor quality of life. Respondents who were in the middle age group (AOR = 0.36, 95% CI: 0.19, 0.70), lower educational level (AOR = 3.11, 95%CI: 1.35, 7.15), those who had low drug adherence (AOR = 8.36, 95%CI: (2.41, 28.98) comorbid anxiety, (AOR = 3.63, 95% CI: 2.55, 8.42) and depression (AOR = 3.85, 95% CI: 2.16, 6.82) were found to be significantly associated with poor quality of life of epilepsy patients. Conclusion This study revealed that almost one in two epileptic patients had poor quality of life. Age of the respondents, lower educational level, comorbid anxiety and depression, and lower adherence to drugs were significantly associated with poor quality of life. Therefore, health institutions and clinicians should not focus only on the treatment of the disease itself rather they should address diseases’ impact on the quality of life of patients.