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Factors that affect immunization data quality in Kabarole District, Uganda.

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Immunization data quality audits revealed inconsistencies, with lower-level health centers contributing to reporting errors. Improving data quality at these lower levels is crucial for accurate vaccination coverage and program success.

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Area of Science:

  • Public Health
  • Health Informatics
  • Vaccination Programs

Background:

  • Reliable immunization data is essential for effective healthcare decision-making and program performance.
  • Inadequate data quality can distort understanding of vaccination coverage and impede program objectives.

Purpose of the Study:

  • To conduct an immunization data quality audit to assess data accuracy and identify areas for improvement.
  • To evaluate the quality of data collection processes at different levels of the health service delivery system.

Main Methods:

  • An immunization data quality audit was performed between July and August 2016.
  • Verification factor calculated by comparing recounted DPT3<1 year vaccinations to reported figures.
  • Quality indices assessed recording practices, storage/reporting, and monitoring/evaluation at health centers.

Main Results:

  • The mean health center verification factor was 87%, with 65% of centers having consistent data.
  • Significant contributions to over-reporting and under-reporting were noted from health centers.
  • Mean quality indices were 66% for recording practices, 75% for storage/reporting, and 43% for monitoring and evaluation.

Conclusions:

  • Lower-level health centers significantly contributed to immunization data inconsistencies.
  • Wide variations in quality indices highlight the need for targeted interventions.
  • Recommendations include focusing on improving data quality at lower levels of health service delivery.