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Estimating vaccination coverage: routine information or sample survey?

M W Borgdorff1, G J Walker

  • 1Murambinda Hospital, Buhera, Zimbabwe.

The Journal of Tropical Medicine and Hygiene
|February 1, 1988
PubMed
Summary
This summary is machine-generated.

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District immunization programs can use routine data to assess vaccination coverage. This study from Zimbabwe highlights how this method identified coverage gaps, particularly among specific religious groups.

Area of Science:

  • Public Health
  • Epidemiology
  • Health Management

Background:

  • Assessing vaccination coverage is crucial for district immunization programmes.
  • Accurate population data is essential for reliable coverage estimates.
  • Previous census data may have significant under-enumeration, especially for young children.

Purpose of the Study:

  • To evaluate the utility of routine health information for assessing vaccination coverage in a district.
  • To identify variations in vaccination coverage across different health unit areas.
  • To compare coverage estimates derived from routine data versus sample surveys.

Main Methods:

  • Estimating child population using multiple data sources.
  • Utilizing routinely collected vaccination data to calculate coverage levels.

Related Experiment Videos

  • Conducting a sample cluster survey for comparative analysis.

    • Main Results:

    • Routine data revealed significant variations in vaccination coverage across health catchment areas.
    • Lowest coverage rates were observed in areas with a high proportion of Apostolic religious group members, who often refuse immunization.
    • Under-enumeration in the 1982 census was substantial, particularly for children under one year of age.

    Conclusions:

    • Routine health information provides a valuable tool for monitoring vaccination coverage at the district level.
    • Identifying areas with low coverage is critical for targeted interventions.
    • Discrepancies between routine data and survey estimates highlight the need to address data accuracy and survey precision.