[Correcting for misclassified HIV/aids deaths in Mexico: Retrospective analysis, 1983-2012]

Lucero Cahuana-Hurtado1, Olivia Chilian-Herrera1, Sergio Bautista-Arredondo1

  • 1Instituto Nacional de Salud Pública, Cuernavaca, Morelos, México.

Salud Publica De Mexico
|November 7, 2015
PubMed
Abstract

Insights

This study corrected misclassified AIDS deaths in Mexico from 1983-2012. The analysis revealed declining Acquired Immunodeficiency Syndrome mortality rates, particularly after 1996 for men and 2008 for women.

Area of Science:

  • Epidemiology
  • Public Health
  • Demography

Background:

  • Accurate mortality data is crucial for understanding disease burden and guiding public health interventions.
  • Misclassification of deaths, particularly for Acquired Immunodeficiency Syndrome (AIDS), can lead to underestimation of the epidemic's impact.
  • Reconstructing accurate time series of AIDS mortality is essential for effective policy-making.

Purpose of the Study:

  • To identify and reassign misclassified AIDS deaths in Mexico.
  • To reconstruct the time series of AIDS mortality from 1983 to 2012, stratified by state, sex, age, and social security affiliation.
  • To develop a replicable methodology for correcting AIDS mortality data.

Main Methods:

  • Analysis of 15.5 million deaths recorded between 1979 and 2012.
  • A three-phase correction process for Human Immunodeficiency Virus-Acquired Immunodeficiency Syndrome (HIV-AIDS) mortality: direct AIDS causes, miscoded deaths, and hidden AIDS deaths.
  • Calculation of age-standardized mortality rates (SMR) by sex, social security status, and state.

Main Results:

  • Accumulation of 107,981 AIDS deaths between 1983 and 2012, constituting 11% of total deaths.
  • Significant decline in SMR for men starting in 1996 and for women in 2008.
  • Similar trends observed for populations with and without social security, with notable state-level heterogeneity in SMR.

Conclusions:

  • A straightforward and reproducible methodology for correcting AIDS mortality data has been established.
  • The corrected data provides valuable evidence for informed decision-making in public health.
  • The study highlights the importance of accurate cause-of-death ascertainment for monitoring and controlling the HIV-AIDS epidemic.

Related Concept Videos

Retrovirus Life Cycles01:10

Retrovirus Life Cycles

Retroviruses have a single-stranded RNA genome that undergoes a special form of replication. Once the retrovirus has entered the host cell, an enzyme called reverse transcriptase synthesizes double-stranded DNA from the retroviral RNA genome. This DNA copy of the genome is then integrated into the host’s genome inside the nucleus via an enzyme called integrase. Consequently, the retroviral genome is transcribed into RNA whenever the host’s genome is transcribed, allowing the...
50.6K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.6K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.2K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
705
Prevalence and Incidence01:08

Prevalence and Incidence

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.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
2.3K