A retrospective cluster analysis of regional disparities and healthcare factors influencing causes of death certification and mortality statistics in India

Reliable cause-specific mortality statistics are crucial for defining health priorities, public health programs, allocating resources, designing and implementing policies to improve healthcare quality and accessibility. India accounts for almost 18 percent of the world's population. The 2020 report from the Office of the Registrar General of India indicates that the Medical Certification of Cause of Death (MCCD) rate is only 22.5%, with a minimal improvement of just 2.5% over the past decade. This study is the first to provide a comprehensive evaluation of MCCD-patterns across India over the past 15 years, addressing a critical-gap in the literature by identifying regional patterns, disparities, and healthcare variables that have previously been underexplored. Based on MCCD-trends over this period, the states and Union-Territories of India can be categorized into three clusters. Cluster1 includes 23 states with the lowest-average MCCD-rate of 18%, attributed to a low 0.14 doctors per 1000 people, with only 27.4% of hospitals actively reporting-MCCD. In contrast, Clusters2 and 3 have higher-average MCCD-rates of 63% and 60%, respectively, supported by higher 0.27 and 0.33 doctors per 1000 people, with over 80% of hospitals actively reporting-MCCD. Although, the findings indicate that active MCCD-reporting is a major factor associated with MCCD rates, other factors including healthcare infrastructure, state-specific healthcare policies, socioeconomic factors, and administrative management also influence MCCD-rates.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-01-03
DOI
https://doi.org/10.1038/s41598-025-27634-1
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A retrospective cluster analysis of regional disparities and healthcare factors influencing causes of death certification and mortality statistics in India

Khushwant Singh, Ashoo Grover, Sanghamitra Pati
Scientific Reports
Health Systems, Economic Evaluations, Quality of Life
article

A retrospective cluster analysis of regional disparities and healthcare factors influencing causes of death certification and mortality statistics in India

Khushwant Singh, Ashoo Grover, Sanghamitra Pati
article en

Abstract

Reliable cause-specific mortality statistics are crucial for defining health priorities, public health programs, allocating resources, designing and implementing policies to improve healthcare quality and accessibility. India accounts for almost 18 percent of the world's population. The 2020 report from the Office of the Registrar General of India indicates that the Medical Certification of Cause of Death (MCCD) rate is only 22.5%, with a minimal improvement of just 2.5% over the past decade. This study is the first to provide a comprehensive evaluation of MCCD-patterns across India over the past 15 years, addressing a critical-gap in the literature by identifying regional patterns, disparities, and healthcare variables that have previously been underexplored. Based on MCCD-trends over this period, the states and Union-Territories of India can be categorized into three clusters. Cluster1 includes 23 states with the lowest-average MCCD-rate of 18%, attributed to a low 0.14 doctors per 1000 people, with only 27.4% of hospitals actively reporting-MCCD. In contrast, Clusters2 and 3 have higher-average MCCD-rates of 63% and 60%, respectively, supported by higher 0.27 and 0.33 doctors per 1000 people, with over 80% of hospitals actively reporting-MCCD. Although, the findings indicate that active MCCD-reporting is a major factor associated with MCCD rates, other factors including healthcare infrastructure, state-specific healthcare policies, socioeconomic factors, and administrative management also influence MCCD-rates.

Scientific ReportsVol. 16(1)
Indian Council of Medical Research (IN)
Indian Council of Medical Research, Ministry of Health and Family Welfare
Openalex Percentile: Top 99%
Health Systems, Economic Evaluations, Quality of Life
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A retrospective cluster analysis of regional disparities and healthcare factors influencing causes of death certification and mortality statistics in India — Khushwant Singh, Ashoo Grover, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS