Related Experiment Video

Updated: Jun 2, 2026

Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
06:48

Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil

Published on: July 29, 2020

[Completeness variable evaluation from death certificate of children less than one year in Pernambuco State,

Juliana Martins Barbosa da Silva Costa1, Paulo Germano de Frias

  • 1Instituto Materno-Infantil Professor Fernando Figueira, Recife, PE 50070-550. jumarbs@ibest.com.br

Ciencia & Saude Coletiva
|April 20, 2011
PubMed

Insights

Completeness of infant death certificate data in Brazil improved for some variables but declined for others. Enhancing data quality requires better educational strategies and control measures for accurate vital statistics.

Area of Science:

  • Public Health
  • Epidemiology
  • Vital Statistics

Background:

  • Accurate death certificates are crucial for understanding child mortality.
  • Assessing data completeness is vital for reliable epidemiological analysis.
  • The Mortality Information System (SIM) in Brazil is a key source for vital statistics.

Purpose of the Study:

  • To evaluate the completeness of variables on death certificates for children under one year old in Pernambuco, Brazil.
  • To analyze trends in data completeness from 1997 to 2005.
  • To identify specific variables with improving or declining completeness.

Main Methods:

  • An evaluative, descriptive, time series study design was employed.
  • Data from the Mortality Information System (SIM) for infant deaths (1997-2005) in Pernambuco were analyzed.
  • Incompleteness was calculated per variable by municipality, assessing trends and completeness percentages.

Main Results:

  • Significant variations in data completeness were observed across different death certificate variables.
  • Completeness improved for variables such as sex, age, race/color, place of occurrence, type of delivery, and weeks of gestation.
  • Completeness decreased for variables related to autopsy confirmation, surgery completion, and medical examination.

Conclusions:

  • There are disparities in the quality of information recorded on infant death certificates.
  • Targeted educational interventions and improved data quality control are necessary.
  • Enhancing death certificate completeness is essential for accurate monitoring of infant mortality and public health interventions.

More Related Videos

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

Quantification of three DNA Lesions by Mass Spectrometry and Assessment of Their Levels in Tissues of Mice Exposed to Ambient Fine Particulate Matter12:15

Quantification of three DNA Lesions by Mass Spectrometry and Assessment of Their Levels in Tissues of Mice Exposed to Ambient Fine Particulate Matter

Published on: May 29, 2019

Related Concept Videos

Life Tables01:22

Life Tables

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,...
Applications of Life Tables01:22

Applications of Life Tables

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...
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Actuarial Approach01:20

Actuarial Approach

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.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Non-nuclear Inheritance01:29

Non-nuclear Inheritance

Most DNA resides in the nucleus of a cell. However, some organelles in the cell cytoplasm⁠—such as chloroplasts and mitochondria⁠—also have their own DNA. These organelles replicate their DNA independently of the nuclear DNA of the cell in which they reside. Non-nuclear inheritance describes the inheritance of genes from structures other than the nucleus.