Assessment and evaluation of quality of life in epileptic patients using QOLIE-31 and QOLIE-AD-48 at tertiary care hospital.

Abstract

Introduction: The World Health Organization (WHO) defines quality of life as a person's assessment of their place in life in the context of the culture and value systems in which they live, as well as in connection to their objectives, expectations, standards, and worries. Physiological as well as emotional wellness both affect quality of life (QOL).

Objective: To assess and evaluate the quality of life in epileptic patients by using Quality of life in epilepsy inventory for adolescent (QOLIE-AD-48) and Quality of life in epilepsy inventory for adults (QOLIE-31) at tertiary care hospital.

Methods: After receiving approval from the Institution Ethics Committees (IEC) of the ISF College of Pharmacy and Guru Gobind Singh Medical College and Hospital, Faridkot. This observational and questionnaire based study was carried out for a period of six months. Quality of life in epilepsy inventory for adolescent (QOLIE-AD-48) and Quality of life in epilepsy inventory for adults (QOLIE-31) had been used for this research and got approval from Dr. Joyce A. Cramer to use the questionnaire.

Results: Except for the patients who declined to participate in the study, 109 individuals who participated in the observation and questionnaire-based study was enrolled. In this study, it was discovered that adolescents made up the majority of the patients with respect to adults and quality of life was found to be good (p = 0.062). The mean score of quality of life of the patients and standard deviation (SD) was found to be (M = 61.26) and (SD = 21.10). Males (63%, 69 patients) were found higher with respect to females (37%, 40 patients). Linear regression test was found to be significant (p = 0.003) of quality of life score (dependent variable) in relation to age and weight (independent variable) of the patients it. One way ANOVA test was found significant of quality of life score in relation to educational status (p = 0.001), epilepsy from last year (p = 0.001), and drug therapy (p = 0.017).

Conclusion: The current study explains the relationship between quality of life and other dependent variables by using different statistical analysis techniques. The quality of life of epileptic patients must be assessed on an individual basis, taking into consideration the patient's state of physical health and psychological state. This study concludes that the quality of life of epileptic patients was found to be good as per significant results. If any of factors changes then there will also be differ in quality of life score.