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Indian Journal of Public Health Research & Development
Year : 2019, Volume : 10, Issue : 1
First page : ( 35) Last page : ( 40)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2019.00009.3

Mortality Pattern amongst Patient Admitted in Tertiary Health Care Center, Rajnandgaon (C.G.)

Mendhe Harshal1, Makade Kiran2,*, Bhawnani Dhiraj3, Singh Daneshwar3

1Associate Professor, Department of Community Medicine, Government Medical College, Rajnandgaon (C.G.) India

2Professor, Department of Community Medicine, Government Medical College, Rajnandgaon (C.G.) India

3Associate Professor, Department of Community Medicine, Government Medical College, Rajnandgaon (C.G.) India

*Corresponding Author: Dr. Kiran Makade Professor, Department of Community Medicine, Government Medical College, Rajnandgaon (C.G.) India Email: kirangmak@gmail.com

Online published on 21 February, 2019.

Abstract

Introduction

Mortality data provides the starting point for many epidemiological studies, and are the major resource in explaining trends, differentials of overall mortality. The basis of mortality data is death certificate recommended by WHO. Hospital-based death records provide information regarding the causes of deaths, case fatality rates and age and sex distribution. The present study was planned to determine the frequency, pattern, distribution and causes of non medico legal inpatient mortality occurring in the Government Medical College, hospital, Rajnandgaon (C.G).

Materials and Method

A record based cross sectional study was conducted, based on the data available in the MRD section of this hospital. All the deaths occurred in the hospital during the 1-year period, i.e., March 16-Feb 17 were considered for analysis. The system involved and the underlying cause of death was recorded and was classified according to International Classification of Diseases (ICD) 10th revision.

Findings

The mortality rate was 20 per 1000 IPD patients. Maximum deaths were in the age group of 41–60 years (35%). Majority (32%) deaths occurred in the quarter i.e, June 16 to August 16. 27.8% patient's deaths involved circulatory system. According to ICD10 classification, 71 deaths occurred due to cerebro-vascular accidents which were more in males (44) as compared to females (27).

Conclusions

Epidemiological transition is evident from the study findings which suggest that there are more deaths from non communicable diseases than communicable diseases. Diseases of circulatory system is a leading cause of death.

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Keywords

Mortality data, Trends, Cause of death, International Classification of Diseases (ICD), Medical Records Department (MRD).

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