Study of Psychiatric Morbidity among Patients with End-Stage Renal Disease Receiving Haemodialysis in a Tertiary Health Care Institute

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Authors

  • PG Resident, Department of Psychiatry, Dr. Vasantrao Pawar Medical College Hospital & Research Centre,Nashik - 422003, Maharashtra, India ,IN
  • Associate Professor, Department of Psychiatry, Dr. Vasantrao Pawar Medical College Hospital & Research Centre, Nashik - 422003, Maharashtra, India ,IN

Keywords:

Psychiatric morbidity, End Stage Renal Disease (ESRD), Haemodialysis
Haemodialysis

Abstract

Background: There has been an increase in the global burden of chronic kidney disease. India especially has to face the brunt of this problem due to factors such as increased life expectancy and a recent epidemic of type-2 diabetes mellitus. Patients with End Stage Renal Disease (ESRD), have to depend on renal replacement therapy for their survival. ESRD is a multifaceted problem having medical and psychological consequences. Psychiatric problems like depression and anxiety are especially common among ESRD patients being treated with haemodialysis. A presence of psychopathology among these patients is associated with poor outcome. Aim: The aim of this study was to find out the prevalence of psychiatric illness among ESRD patients who are being treated with haemodialysis. Setting and Design: A cross sectional study was conducted in a haemodialysis unit of a tertiary health care institute. Material and Method: Seventy four ESRD patients on maintenance haemodialysis were selected. They were interviewed using a special proforma and screened using the Mini –international Neuropsychiatry interview English Version 6.0.0. Statistical Analysis Used: The data was analysed using SPSS version 19 & EPI INFO software. Result: Psychopathology was found in 52.70% of the study population. Depression was the most common psychiatric illness found followed by generalized anxiety disorder. Conclusion: Patients on haemodialysis should be routinely screened for psychological disturbances and psychiatric morbidity to diagnose underlying mental illness.

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Published

2017-12-14

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Original Research Article

 

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