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Applications of Life Tables01:22

Applications of Life Tables

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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
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The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
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In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
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Death registration coverage 2019-2021, India.

Nandita Saikia1, Krishna Kumar2, Bhaswati Das2

  • 1Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, India.

Bulletin of the World Health Organization
|February 3, 2023
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Summary
This summary is machine-generated.

Nationally, 70.8% of deaths were registered in India. Death registration was lower for females and disadvantaged groups, highlighting the need for targeted strategies and mobile technology to improve coverage.

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Area of Science:

  • Public Health
  • Demography
  • Health Informatics

Background:

  • Accurate death registration is crucial for public health surveillance and policy-making in India.
  • Existing studies indicate disparities in death registration coverage across different socio-demographic groups.

Purpose of the Study:

  • To investigate the national coverage of death registration in India.
  • To identify sociodemographic factors associated with death registration at individual and district levels.

Main Methods:

  • Utilized data from the Indian National Family Health Survey (2019-2021).
  • Estimated death registration for 84,390 deaths across all age groups.
  • Employed multilevel logistic regression to analyze individual, district, and state-level factors.

Main Results:

  • Overall death registration coverage was 70.8%.
  • Registration was significantly lower for females (aOR: 0.61), rural populations, disadvantaged castes, the poorest quintile, Muslims, and those without a below poverty level card.
  • Higher education (post-secondary) was associated with increased registration (aOR: 1.54).
  • District-level factors did not show significant associations.

Conclusions:

  • Sociodemographic characteristics strongly influence death registration.
  • Recommended strategies include awareness campaigns for disadvantaged groups and a mobile application to enhance death registration in India.