Authors :
Jiya Johny; Kavyasree R.; Anagha P.; Muhammad Rijas V.; Sinju A. P.
Volume/Issue :
Volume 11 - 2026, Issue 3 - March
Google Scholar :
https://tinyurl.com/yp6jjbwe
Scribd :
https://tinyurl.com/bdxyj663
DOI :
https://doi.org/10.38124/ijisrt/26mar2038
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Background
Chronic kidney disease (CKD) is a progressive condition that significantly affects patients’ physical, psychological, and
social well-being. Dialysis, a life-sustaining treatment for end stage renal disease, places a heavy burden on patients and impacts
their quality of life (QoL). Assessing QoL among dialysis patients is crucial for understanding their health challenges and
identifying areas that require interventions. Previous research has shown that both physical and mental health domains are
compromised in dialysis patients, yet findings vary depending on demographic and clinical characteristics.
Research Question
What is the quality of life among dialysis patients in selected hospitals at Calicut, and how is it associated with selected
demographic and clinical variables?
Objectives
To assess the overall quality of life of dialysis patients.
To identify factors influencing the quality of life of dialysis patients.
To analyze the association between selected demographic and clinical variables with quality of life of dialysis patients in
selected hospitals, Calicut.
Methodology
Research Approach:
Quantitative approach Design: Descriptive cross-sectional study Setting: Aster MIMS Hospital, Kozhikode Population:
Patients undergoing dialysis
Inclusion Criteria:
Adults >18 years, on dialysis ≥3 months
Exclusion Criteria:
Patients with cognitive impairment or unwilling to participate Sample size: 100 dialysis patients
Sampling Technique:
Non-probability purposive sampling Tools used:
Demographic and Clinical Proforma
Kidney Disease and Quality of Life questionnaire (KDQOL-36)
Validity & Reliability:
Content validity index = 0.8; reliability coefficient = 0.89
Data Collection:
Conducted between 25/7/25 to 30/7/25after obtaining ethical approval and informed consent.
Data Analysis:
Descriptive (mean, percentage, frequency) and inferential statistics (association tests).
References :
- World Health Organization. Global status report on noncommunicable diseases 2010. Geneva: WHO; 2011.
- World Health Organization. Global burden of disease project: causes of death and disability. Geneva: WHO; 2010.
- Couser WG, Remuzzi G, Mendis S, Tonelli M. The contribution of chronic kidney disease to the global burden of major non-communicable diseases. Kidney Int. 2011;80(12):1258–70. Jha V, Garcia-Garcia G, Iseki K, Li Z, Naicker S, Plattner
- B, et al. Chronic kidney disease: global dimension and perspectives. Lancet. 2013;382(9888):260–72. Theofilou P. Quality of life in patients undergoing hemodialysis or peritoneal dialysis treatment. J Clin Med Res. 2011;3(3):132–8.
- Joshi VD, Mooppil N, Lim JF. Validation of the kidney disease quality of life- short form: a cross-sectional study of a dialysis-targeted health measure in Singapore. BMC Nephrol. 2010;11:36.
- Stathopoulou E, Koukia E, Roupa Z, Vasilopoulou C, Mangoulia P, Katsarou A, et al. The quality of life of hemodialysis patients. Mater Sociomed. 2015;27(5):305–
- Gerogianni G, Babatsikou F. Psychological aspects in chronic renal failure. Health Sci J. 2014;8(2):205–14.
- Cruz LN, Fleck MP, Polanczyk CA. Quality of life in patients with chronic diseases: a comparative study. Value Health. 2010;13(5):624–8.
- Feroze U, Noori N, Kovesdy CP, Molnar MZ, Martin DJ, Reina-Patton A, et al. Quality-oflife and mortality in hemodialysis patients: roles of race and nutritional status. Clin J Am Soc Nephrol. 2011;6(5):1100–11.
- Mapes DL, Lopes AA, Satayathum S, McCullough KP, Goodkin DA, Locatelli F, et al. Health-related quality of life as a predictor of mortality and hospitalization: the Dialysis Outcomes and Practice Patterns Study (DOPPS). Kidney Int. 2003;64(1):339–49.
- Kalantar-Zadeh K, Kopple JD, Block G, Humphreys MH. Association among SF- 36 quality of life measures and nutrition, hospitalization, and mortality in hemodialysis. J Am Soc Nephrol. 2001;12(12):2797–806.
- Rebollo P, Ortega F. Health related quality of life (HRQOL) in end-stage renal disease patients. Am J Kidney Dis. 2000;35(4):548–82.
- Elo S, Kyngäs H. The qualitative content analysis process. J Adv Nurs. 2008;62(1):107–
- Visweswaran K, Shaffi M, Mathew P, Abraham M, Gireesh Kumar KP. Quality of life of end stage renal disease patients undergoing dialysis in Southern part of Kerala, India: financial stability and inter-dialysis weight gain as key determinants. Saudi J Kidney Dis Transpl. 2020;31(6):1274–83.
- Al Salmi I, Hannawi S, Hannawi H. Kidney disease–specific quality of life among patients on hemodialysis. Oman Med J. 2020;35(2):e119.
Background
Chronic kidney disease (CKD) is a progressive condition that significantly affects patients’ physical, psychological, and
social well-being. Dialysis, a life-sustaining treatment for end stage renal disease, places a heavy burden on patients and impacts
their quality of life (QoL). Assessing QoL among dialysis patients is crucial for understanding their health challenges and
identifying areas that require interventions. Previous research has shown that both physical and mental health domains are
compromised in dialysis patients, yet findings vary depending on demographic and clinical characteristics.
Research Question
What is the quality of life among dialysis patients in selected hospitals at Calicut, and how is it associated with selected
demographic and clinical variables?
Objectives
To assess the overall quality of life of dialysis patients.
To identify factors influencing the quality of life of dialysis patients.
To analyze the association between selected demographic and clinical variables with quality of life of dialysis patients in
selected hospitals, Calicut.
Methodology
Research Approach:
Quantitative approach Design: Descriptive cross-sectional study Setting: Aster MIMS Hospital, Kozhikode Population:
Patients undergoing dialysis
Inclusion Criteria:
Adults >18 years, on dialysis ≥3 months
Exclusion Criteria:
Patients with cognitive impairment or unwilling to participate Sample size: 100 dialysis patients
Sampling Technique:
Non-probability purposive sampling Tools used:
Demographic and Clinical Proforma
Kidney Disease and Quality of Life questionnaire (KDQOL-36)
Validity & Reliability:
Content validity index = 0.8; reliability coefficient = 0.89
Data Collection:
Conducted between 25/7/25 to 30/7/25after obtaining ethical approval and informed consent.
Data Analysis:
Descriptive (mean, percentage, frequency) and inferential statistics (association tests).