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Problems of population based epidemiological surveys

S L Chadha1

  • 1Sitaram Bhartia Institute of Science and Research, New Delhi.

The Journal of Communicable Diseases
|December 1, 1995
PubMed
Summary

This study identified challenges in conducting large-scale epidemiological surveys for coronary heart disease and hypertension in India. The findings aim to improve future population-based health research.

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Area of Science:

  • Epidemiology
  • Cardiovascular Health
  • Public Health Research

Background:

  • Coronary heart disease (CHD) and hypertension are significant public health concerns in India.
  • Large-scale epidemiological studies are crucial for understanding disease prevalence and risk factors.
  • Previous research in India has faced logistical and methodological challenges.

Purpose of the Study:

  • To identify and discuss the challenges encountered during a major community-based epidemiological survey.
  • To provide practical insights for improving the planning and execution of future health studies in India.
  • To estimate the prevalence and risk factors of coronary heart disease and hypertension in Delhi and Gurgaon.

Main Methods:

  • A community-based epidemiological survey was conducted in urban Delhi and rural Gurgaon.
  • The study focused on estimating prevalence rates and identifying risk factors for CHD and hypertension.
  • Data collection involved a large population-based sample.

Main Results:

  • The study identified several practical problems in conducting large-scale epidemiological research in the Indian context.
  • Specific challenges related to logistics, participant recruitment, and data quality were noted.
  • The experience highlighted the need for tailored methodologies for Indian populations.

Conclusions:

  • Conducting population-based epidemiological studies in India presents unique challenges.
  • Sharing these experiences can help researchers overcome obstacles in future cardiovascular health research.
  • Improved study design and implementation are essential for accurate disease burden estimation.

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