A QUASI EXPERIMENTAL STUDY TO ASSESS THE EFFECTIVENESS OF STRUCTURED TEACHING PROGRAMME ON KNOWLEDGE REGARDING POST DIALYSIS HOME CARE AMONG CAREGIVERS OF CHRONIC RENAL PATIENTS UNDERGOING HEMODIALYSIS AT SELECTED HOSPITAL OF DISTT. UNA. HIMACHAL PRADESH
Authors:   Professor cum Principal, Himcapes College of Nursing Badhera Una., Kaur Varinder , a Priyanka ,   Assistant Professor, Himcapes College of Nursing Badhera Una.
Published: March 2023

Chronic kidney disease (CKD) is the 16th leading cause of years of life lost worldwide. Appropriate screening, diagnosis and management by primary care clinicians are necessary to prevent adverse CKD-associated outcomes, including cardiovascular disease, end stage kidney disease and death. Chronic kidney disease has become a major cause of global morbidity and mortality in developing countries. The burden of Chronic kidney disease in India cannot be assessed accurately. The approximate prevalence of Chronic Kidney disease is 800 per million population and incidence of end stage renal disease is 150-200 per million population. Chronic Kidney Disease is a progressive, irreversible deterioration in renal function in which the bodys ability to maintain metabolic and fluid and electrolyte balance fails resulting in retention of urea and nitrogenous waste in the blood. There are mainly 5 stages of renal failure. The end stage of chronic renal failure must require the long term treatment including dialysis or kidney transplantation. Dialysis makes it possible to continue living with end-stage kidney disease for many years or even decades. Dialysis is a process of purification of blood used to remove fluid and uremic waste products from the body when kidneys cannot do so. Approximately 1.5 litres of blood are filtered by a healthy persons kidneys each day. People whose kidneys either do not work properly cant remove waste products from body. A dialysis machine removes a small amount of a patients blood through a man-made membrane called dialyzer, or artificial kidney to clean out toxins that the kidneys can no longer remove. The filtered blood is then returned to the body. A quasi experimental study to assess the effectiveness of structural teaching programme on knowledge regarding post-dialysis home care among caregivers of chronic renal patients undergoing hemodialysis at selected hospital of distt. Una. The research design selected for the study was pre-experimental research design. Data was collected from 50 samples using convenient sampling technique. Tool was used to collect the data from samples. It consists of 2 sections. Section-A consists of patients and caregivers demographic variables and Section-B consists of structured questionnaire and was analysed by applying descriptive and inferential statistics. A finding reveals that the out of 50 samples 36% of samples were in the age group of 45-60 years, 54% were male, 36% had got education up-to 12th,56% were unemployed, 62% had income less than 10,000 per month, 96% had rural area as place of residence, 56% had nuclear family, 74% had no family history, 68% were married, 80% had belong to Hindu religion, 66% had health care professionals as source of information regarding post dialysis home care. In pre-test mean knowledge score was 11.18+ 3.706 which was 37.27% of total mean knowledge score percentage. In post-test mean knowledge score 17.98+ 3.727 which was 59.94% of total mean score. The difference in pre-test and post-test mean score was 22.67. Hence it concluded that the structured teaching programme was effective. Pairedt test was calculated to analyse the difference between the pre-test and post-test knowledge scores, shows highly significant difference between pre-test and post-test. Hence the stated null hypothesis was rejected. There was only two significant association found between the knowledge regarding post dialysis home care among caregivers of chronic renal failure patients undergoing haemodialysis i.e. Gender and occupation. There was no other significant association between post-test knowledge scores with selected demographic variables such as age, education, income, place of residence, type of family, family history, marital status, religion, source of information. Thus null hypothesis was accepted.