Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

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Volume 7 Issue 5
September-October 2026

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A Study on Morbidity and Mortality Analysis Using HMIS Data in Tamil Nadu

Author(s) Dr. N. Kala
Country India
Abstract Abstract
Morbidity and mortality are critical indicators of population health and healthcare system performance. This study analyzes morbidity and mortality trends in Tamil Nadu using secondary data from the Health Management Information System (HMIS) between April 2025 and April 2026. A retrospective descriptive and analytical design was adopted, covering all districts and age groups. Key variables included communicable and non-communicable diseases, maternal and child health conditions, and cause-specific mortality. Data were processed using SPSS with descriptive statistics, trend analysis, and district-wise comparisons.
The study aims to identify leading causes of morbidity and mortality, examine demographic and regional variations, and assess maternal and child health indicators. Findings are expected to highlight high-burden diseases, vulnerable populations, and district disparities. Results will inform targeted interventions, strengthen disease surveillance, and enhance maternal and child health services.
By leveraging HMIS data, this research contributes to evidence-based public health planning and policy formulation in Tamil Nadu. Limitations include potential underreporting, exclusion of private healthcare data, and district-level variations in data quality. Overall, the study underscores the importance of digital health information systems in guiding effective healthcare delivery and improving public health outcomes.
Keywords Morbidity, Mortality, Health Management Information System (HMIS),Tamil Nadu public health,Disease surveillance, Communicable diseases, Non-communicable diseases, Maternal health, Child health, Infant mortality rate (IMR)and Maternal mortality ratio (MMR)
Field Sociology > Philosophy / Psychology / Religion
Published In Volume 7, Issue 4, July-August 2026
Published On 2026-08-07
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E-ISSN 3048-7641
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