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Enhancing Workforce Capacity to Improve Vaccination Data Quality, Uganda.

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    Improving vaccine data quality in Uganda is crucial for program success. Data Improvement Teams (DITs) enhanced data collection and management in health facilities, boosting program planning and monitoring.

    Keywords:
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    Area of Science:

    • Public Health
    • Health Informatics
    • Vaccination Programs

    Background:

    • Vaccine dose administration data in Uganda often lacks availability and quality.
    • Insufficient data hinders effective program planning, monitoring, and evaluation.

    Purpose of the Study:

    • To address data quality issues in Uganda's vaccination program.
    • To implement and assess the effectiveness of Data Improvement Teams (DITs).

    Main Methods:

    • Data Improvement Teams (DITs) were deployed to district health offices and facilities.
    • Activities included gap assessment, data accuracy evaluation, and on-the-job training.
    • Coverage extended to all districts and 89% of health facilities from Nov 2014-Sep 2016.

    Main Results:

    • Inaccurate data were predominantly identified at the health facility level.
    • Improvements in data management and collection practices were observed.
    • Healthcare workers' knowledge and skills in data quality were strengthened.

    Conclusions:

    • The DIT strategy effectively identified and addressed data quality gaps.
    • Sustained improvements require ongoing follow-up and accountability mechanisms.
    • This approach offers a valuable model for enhancing health data quality in similar settings.