A Study to Evaluate Psychological Distress and Self-Esteem Among Patients with Hemodialysis

Abstract

Background: Chronic kidney disease (CKD) is a progressive disease that affects more than 800 million people worldwide, representing more than 10% of the global population. It is more common in older people, women, and racial minorities, as well as in people with diabetes mellitus and high blood pressure. CKD has become one of the top causes of mortality worldwide, and is one of the few non-communicable diseases that have seen an increase in related deaths over the last few decades. The high number of affected people and the serious negative consequences of chronic disease should lead to increased efforts to improve prevention and treatment efforts. Around the world, there are an estimated 1,800-1,600 extra deaths per 10000 patients who are on dialysis.  Aim: The aim of the study is to determine the psychological distress and self-esteem among dialysis patients.  Research Methodology: A quantitative cross-sectional investigate plan was utilized to conduct a research study among 30 dialysis patients. Convenient sampling techniques were utilized to collect data from standardized tool using questionnaire techniques.  Result: Study showed that 36.7% of the samples were doing well, 23.3% had mild psychological distress, 23.3% of the samples had moderate psychological distress and severe distress is seen in 16.7% of the samples. 73.3% of them had normal self-esteem, 20% of the study population had low self-esteem and 6.7% had above average self-esteem. Significant relationship is seen between social and family support with self-esteem (p=0.033).  Conclusion: About half of the samples were having psychological distress which is of mild and moderate, severe psychological distress were seen in 16.7% of the samples, ordinal self-esteem were seen in 73% of the samples, 27% of samples had mild and average self- esteem.

The authors' abstract, as published at the source. International Journal of Innovative Science and Research Technology (IJISRT), 2024 · DOI ↗