ArticleBMJ global health2020
The civil registration system is a potentially viable data source for reliable subnational mortality measurement in India.
Article in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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29 citing papers in PubMed.
- Beyond Counting Deaths: Why India must Strengthen Civil Registration and Vital Statistics Systems for Equitable Health Governance.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026Article
- Investigating the Role of Cytomegalovirus as a Cause of Stillbirths and Child Deaths in Low- and Middle-Income Countries Through Postmortem Minimally Invasive Tissue Sampling.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026Article
- The mortality burden from COVID in low-income settings: evidence from verbal autopsies in India.BMC public health · 2026Article
- Completeness of death registration in Ghana: An evaluation of multiple data sources and methods.PloS one · 2026Article
- Gender differentials in death registration completeness in Gujarat, India: a policy analysis of structural, economic, and socio-cultural barriers.Frontiers in public health · 2026Article
- India's death toll in 2021 during the COVID-19 pandemic: insights from delayed official civil registration data.Journal of global health · 2025Article
- Epidemiology and determinants of stillbirth disparities in India: a geospatial hotspot clustering study using integrated population-level data.The Lancet regional health. Southeast Asia · 2025Article
- Spatial disparities in death registration across states and districts of India, 2019-21.BMC public health · 2025Article
- Comparison of HIV/AIDS death estimates for 2019 between GBD 2019 and WHO mortality databases.Frontiers in public health · 2025Article
- Strengthening Cause of Death Statistics in Selected Districts of 3 States in India: Protocol for an Uncontrolled, Before-After, Mixed Method Study.JMIR research protocols · 2024Article
- Perceptions of healthcare workers on implementing the 2022 WHO verbal autopsy instrument in rural India through the existing public health system.Journal of family medicine and primary care · 2024Article
- Construction and validation of a covariate-based model for district-level estimation of excess deaths due to COVID-19 in India.Journal of global health · 2024Article
- Subnational estimates of life expectancy at birth in India: evidence from NFHS and SRS data.BMC public health · 2024Article
- The COVID-19 pandemic death toll in India: can we know better?BMJ global health · 2023Article
- Attributed causes of excess mortality during the COVID-19 pandemic in a south Indian city.Nature communications · 2023Article
- Can administrative health data be used to estimate population level birth and child mortality estimates? A comparison of India's Health Information Management System data with nationally representative survey data.SSM - population health · 2022Article
- Exploratory analysis of the suitability of data from the civil registration system for estimating excess mortality due to COVID-19 in Faridabad district of India.The Indian journal of medical research · 2022Article
- All-cause mortality during the COVID-19 pandemic in Chennai, India: an observational study.The Lancet. Infectious diseases · 2022Observational
- Coding quality of deaths and its impact on elderly unintentional fall mortality data from 1990 to 2019: a retrospective analysis of the WHO Mortality Database.BMC geriatrics · 2022Article
- Estimates of pandemic excess mortality in India based on civil registration data.PLOS global public health · 2022Article
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Abstract
introductionThe Indian national Civil Registration System (CRS) is the optimal data source for subnational mortality measurement, but is yet under development. As an alternative, data from the Sample Registration System (SRS), which covers less than 1% of the national population, is used. This article presents a comparison of mortality measures from the SRS and CRS in 2017, and explores the potential of the CRS to meet these subnational data needs.
methodsData on population and deaths by age and sex for 2017 from each source were used to compute national-level and state-level life tables. Sex-specific ratios of death probabilities in five age categories (0-4, 5-14, 15-29, 30-69, 70-84) were used to evaluate CRS data completeness using SRS probabilities as reference values. The quality of medically certified causes of death was assessed through hospital reporting coverage and proportions of deaths registered with ill-defined causes from each state.
resultsThe CRS operates through an extensive infrastructure with high reporting coverage, but child deaths are uniformly under-reported, as are female deaths in many states. However, at ages 30-69 years, CRS death probabilities are higher than the SRS values in 15 states for males and 10 states for females. SRS death probabilities are of limited precision for measuring mortality trends and differentials. Data on medically certified causes of death are of limited use due to low hospital reporting coverage.
conclusionsThe Indian CRS is more reliable than the SRS for measuring adult mortality in several states. Targeted initiatives to improve the recording of child and female deaths, to strengthen the reporting and quality of medically certified causes of death, and to promote use of verbal autopsy methods can establish the CRS as a reliable source of subnational mortality statistics in the near future.
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