Epidemiology and Analysis of Mortality in Tertiary Care Hospital in a Metropolitan City, India: A Record Based Study
Background: Mortality statistics are essential for understanding population health, guiding public health efforts, and tracking disease trends. In India, reliable mortality data is often insufficiently documented and analyzed, limiting its utility for identifying leading causes of death. Material...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Gujarat Adani Institute of Medical Sciences
2025-06-01
|
| Series: | GAIMS Journal of Medical Sciences |
| Subjects: | |
| Online Access: | https://gjms.gaims.ac.in/index.php/gjms/article/view/369/207 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849330566472663040 |
|---|---|
| author | Vrushali Vishal Kulkarni Amit Yadav |
| author_facet | Vrushali Vishal Kulkarni Amit Yadav |
| author_sort | Vrushali Vishal Kulkarni |
| collection | DOAJ |
| description | Background: Mortality statistics are essential for understanding population health, guiding public health efforts, and tracking disease trends. In India, reliable mortality data is often insufficiently documented and analyzed, limiting its utility for identifying leading causes of death.
Materials and Methods: A retrospective cross-sectional study was conducted on patient death records from 2018 to 2023 at a tertiary care hospital, excluding incomplete records. Data were analyzed using SPSS version 22.0 and MS-Excel, applying descriptive statistics and Chi-square tests to assess associations at a 5% significance level.
Results: From 2018 to 2023, 9,087 deaths were recorded, with a peak in 2020. Non-communicable diseases had the highest mortality share (52.67%–58.75%), followed by communicable diseases (13.05%–21.25%) and postmortem cases (20.49%–26.43%). The mortality trend was significantly linear (p < 0.0001). Most deaths occurred in adults (15–60 years), with no significant gender association. A shift in disease patterns was noted, with communicable diseases peaking in 2020.
Conclusion: This study highlights non-communicable diseases as the leading cause of mortality, with a 2020 spike in communicable diseases, seasonal variations, and a predominance of adult deaths, emphasizing the need for ongoing monitoring and targeted interventions. |
| format | Article |
| id | doaj-art-fdf9b152bfdb4bc595eea17f77213d32 |
| institution | Kabale University |
| issn | 2583-1763 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Gujarat Adani Institute of Medical Sciences |
| record_format | Article |
| series | GAIMS Journal of Medical Sciences |
| spelling | doaj-art-fdf9b152bfdb4bc595eea17f77213d322025-08-20T03:46:53ZengGujarat Adani Institute of Medical SciencesGAIMS Journal of Medical Sciences2583-17632025-06-01523843https://doi.org/10.5281/zenodo.15621361Epidemiology and Analysis of Mortality in Tertiary Care Hospital in a Metropolitan City, India: A Record Based StudyVrushali Vishal Kulkarni0Amit Yadav1Department of Community Medicine, Rajiv Gandhi Medical College, Kalwa, Thane, MaharashtraDepartment of Community Medicine, Rajiv Gandhi Medical College, Kalwa, Thane, MaharashtraBackground: Mortality statistics are essential for understanding population health, guiding public health efforts, and tracking disease trends. In India, reliable mortality data is often insufficiently documented and analyzed, limiting its utility for identifying leading causes of death. Materials and Methods: A retrospective cross-sectional study was conducted on patient death records from 2018 to 2023 at a tertiary care hospital, excluding incomplete records. Data were analyzed using SPSS version 22.0 and MS-Excel, applying descriptive statistics and Chi-square tests to assess associations at a 5% significance level. Results: From 2018 to 2023, 9,087 deaths were recorded, with a peak in 2020. Non-communicable diseases had the highest mortality share (52.67%–58.75%), followed by communicable diseases (13.05%–21.25%) and postmortem cases (20.49%–26.43%). The mortality trend was significantly linear (p < 0.0001). Most deaths occurred in adults (15–60 years), with no significant gender association. A shift in disease patterns was noted, with communicable diseases peaking in 2020. Conclusion: This study highlights non-communicable diseases as the leading cause of mortality, with a 2020 spike in communicable diseases, seasonal variations, and a predominance of adult deaths, emphasizing the need for ongoing monitoring and targeted interventions.https://gjms.gaims.ac.in/index.php/gjms/article/view/369/207mortality trendsnon-communicable diseasesseasonal variationdemographic factors |
| spellingShingle | Vrushali Vishal Kulkarni Amit Yadav Epidemiology and Analysis of Mortality in Tertiary Care Hospital in a Metropolitan City, India: A Record Based Study GAIMS Journal of Medical Sciences mortality trends non-communicable diseases seasonal variation demographic factors |
| title | Epidemiology and Analysis of Mortality in Tertiary Care Hospital in a Metropolitan City, India: A Record Based Study |
| title_full | Epidemiology and Analysis of Mortality in Tertiary Care Hospital in a Metropolitan City, India: A Record Based Study |
| title_fullStr | Epidemiology and Analysis of Mortality in Tertiary Care Hospital in a Metropolitan City, India: A Record Based Study |
| title_full_unstemmed | Epidemiology and Analysis of Mortality in Tertiary Care Hospital in a Metropolitan City, India: A Record Based Study |
| title_short | Epidemiology and Analysis of Mortality in Tertiary Care Hospital in a Metropolitan City, India: A Record Based Study |
| title_sort | epidemiology and analysis of mortality in tertiary care hospital in a metropolitan city india a record based study |
| topic | mortality trends non-communicable diseases seasonal variation demographic factors |
| url | https://gjms.gaims.ac.in/index.php/gjms/article/view/369/207 |
| work_keys_str_mv | AT vrushalivishalkulkarni epidemiologyandanalysisofmortalityintertiarycarehospitalinametropolitancityindiaarecordbasedstudy AT amityadav epidemiologyandanalysisofmortalityintertiarycarehospitalinametropolitancityindiaarecordbasedstudy |