QUALITY OF LIFE OF CHRONIC KIDNEY DISEASE PATIENTS UNDERGOING MAINTENANCE HEMODIALYSIS.

Abstract

Introduction:Chronic kidney disease (CKD) is a complex disease affecting more than twenty million individuals globally. CKD is now documented as a foremost health problem worldwide including India which has a negative impact on the quality of patients' life. Quality of life is one of the parameters to check the improvement of hemodialysis treatment among CKD patients. Objectives:The objectives of this study were i) To assess the quality of life of CKD patients undergoing maintenance hemodialysis ii) To find the association between Quality of life and socio demographic variables among CKD patients undergoing maintenance hemodialysis iii) To find the association between quality of life and clinical variable among CKD patients iv) To find the association between various domains of Quality of Life score and Socio demographic variables among CKD patients undergoing hemodialysis v) To find the correlation between domains of quality of life and Biochemical and Physiological Parameters vi) To prepare a booklet on Home Management Guidelines on Maintenance Hemodialysis for the patients attending hemodialysis unit of ILBS. Methods:A descriptive cross-sectional survey design was adopted using convenient sampling technique seventy patients having CKD and undergoing maintenance hemodialysis at dialysis unit of Institute of Liver and Biliary Sciences. The patients who were 18 years of age or above and who were able to communicate in Hindi and English were included in the study. The critically ill patients were not included in the present study. The reliability of the tool was established by parallel form method and the value was found to be 0.9 using SPSS Version 22. A structured questionnaire was used to collect the data related to demographic and clinical variable. Standardized test Kidney Disease Quality of Life-36 scale (KDQOL-36) was used to assess the Quality of life of CKD patients undergoing maintenance hemodialysis. The home management guideline for the patient was prepared and validated. Data was collected from the month of January and February 2018 at dialysis unit of ILBS Data was analyzed using descriptive and inferential statistics. The tests of significance used in the study are Student t-test, one way ANOVA, Post hoc analysis and Product moment coefficient of correlation. Results:The mean age of the study group was 48 percent with 54.3 percent of patients in the age group of 36 years to 59 years.