[Effects of Monitoring "Out-of-Area" Vaccinated Children on Data Quality, San Pedro Health District, Côte D'ivoire in

A Aplogan1, D Palenfo1, J Koala1

  • 1Agence de médecine préventive Afrique, 08 BP 660 Abidjan 08, Côte d'Ivoire.

Insights

Tracking "out-of-area" children vaccinated in San Pedro improved health center data accuracy for vaccines like DTP-HepB-Hib. This approach enhanced immunization data quality without extra costs.

Area of Science:

  • Public Health
  • Vaccination Data Management
  • Health Services Research

Background:

  • Accurate vaccination data is crucial for effective public health programs.
  • Health centers often face challenges in tracking children vaccinated outside their designated service areas.
  • Improving data quality is essential for assessing immunization performance.

Purpose of the Study:

  • To evaluate the impact of including "out-of-area" vaccinated children on data quality and immunization performance.
  • To assess the feasibility and cost-effectiveness of monitoring these children.
  • To identify specific vaccines most affected by this data inclusion.

Main Methods:

  • A monitoring system was implemented in San Pedro district health centers from March to August 2019.
  • This involved tracking, updating registers, accounting for, and re-evaluating "out-of-area" vaccinated children.
  • Data quality metrics for specific vaccines (BCG, DTP-HepB-Hib, Pneumococcus_13) and dropout rates were analyzed.

Main Results:

  • 980 "out-of-area" children (5.7% of target) were monitored across 37 centers.
  • Inclusion of these children did not alter overall district immunization coverage.
  • Data accuracy improved in 65-70% of centers for DTP-HepB-Hib_1, RR, and overall dropout rates.

Conclusions:

  • Monitoring "out-of-area" vaccinated children significantly enhances the accuracy of health center immunization data.
  • This strategy improves data quality without incurring additional financial costs.
  • The findings support the integration of out-of-area vaccination data into routine health information systems.

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