RESUMO
Background: Mortality is the oldest known health care indicator and a valuable tool for planning and managing in hospitals. Identifying the causes of mortality in hospital is important to monitor the health of the nations, identifying priorities and burden of disease analysis to attempt to estimate the causes of loss of healthy life. Hence this study was done to know the causes of death as per International Classification of Diseases (ICD) 11 among patients who died in Hangal Sri Kumareshwar Hospital in the year 2023. Methods: A retrospective descriptive study was conducted from 01 January to 31 December 2023 in Hangal Sri Kumareshwar Hospital. All mortality data of the year 2023 in the hospital were included in the study. The content of format included demographic variables of patients on the patient record like age, sex, address, mortality and its causes and classified according to ICD 11. Collected data was analyzed using percentages and Chi-square test. Results: Out of 505 deaths in Hangal Sri Kumareshwar Hospital and Research centre in 2023, 305 (60.40%) were males and 200 (39.60%) were females. Majority of deaths (31.48%) occurred between 41 to 60 years age group followed by 31.29% deaths occurring between 61 to 80 years age group. Regarding cause of death according to ICD-11, majority (24.16%) had a circulatory disease followed by 16.24% due to an infectious disease. Conclusions: The National Health Program to combat non communicable diseases has been implemented and the 12th five-year plan has made specific provision for the management and control of non-communicable diseases.
RESUMO
Background: Mortality statistics is important for epidemiological purposes to find any unusual rise in deaths for investigation of the causes so as to take public health action at an early stage. Cause of death statistics from hospitals are routinely amalgamated along with mortality statistics from other sources to constitute essential statistics on the health of a population. This study was done to understand the mortality pattern in a tertiary care teaching hospital and to undertake preventive action as much as possible. Methods: A retrospective hospital based study was done with all the medical records of patients who died in Hangal Sri Kumareshwar hospital and medical research centre in the year 2022, attached to S. N. Medical College, Bagalkot, Karnataka. After IRB, the medical records were analyzed to study the pattern of disease causing deaths which were classified under ICD 10th revision. Age, sex, month of admission, place of residence and underlying cause of death was used for analysis using chi square test and percentages. Results: Out of 501 deaths, 316 (63.07%) were male and 185 (36.93%) were female. Majority of the deaths 152 (30.34%) occurred between the ages of 41 to 60 years. Non communicable diseases contributed to 71.05% of deaths and communicable diseases to 28.95% of deaths. Conclusions: Continuation of the maternal and child health program and effective implementation of the National health programs to overcome non communicable diseases can reduce avoidable premature mortality in the population.