Optimizing Immunization Data Systems (EPI)

RMCL was engaged to assess and strengthen data management systems under Bangladesh's Expanded Programme on Immunization (EPI), one of the country's largest and most operationally complex public health delivery platforms. The engagement identified critical gaps in data completeness, validation practices, and downstream use of routine immunization data for programme decision-making. Despite high service delivery volumes, the translation of facility-level data into actionable intelligence at district and national levels remained constrained by fragmented reporting workflows, insufficient data quality governance, and limited institutional capacity for evidence-based programme review. RMCL's assessment spanned facility-to-national data flows, identifying systemic bottlenecks and generating recommendations to strengthen the quality, reliability, and practical use of EPI data across all levels of the health system.

• Facility-level EPI registers contained systematic inconsistencies in tally recording, denominators, and dropout rate calculations — undermining aggregate data reliability.
• Reporting delays at upazila and district levels created a lag between service delivery and national monitoring, reducing the programme's ability to respond to coverage gaps in real time.
• Validation checkpoints between facility and district data compilations were largely informal and inconsistently applied, creating compounding errors across aggregation levels.
• Frontline EPI workers lacked standardized orientation on data recording protocols, leading to significant inter-facility variation in how key indicators were captured and submitted.
• Digital reporting tools (DHIS2 and parallel platforms) operated with limited interoperability, generating duplicate data entry burdens and fragmented analytical outputs.
• Data review meetings at sub-district level were infrequent and rarely structured to translate findings into operational decisions — limiting accountability and corrective action.

1. 1

   Establish and enforce standardized EPI data recording and reporting SOPs across all facility tiers, with built-in validation checkpoints at each aggregation level.

2. 2

   Institutionalize quarterly data quality audits at facility, upazila, and district levels, with structured follow-up actions tracked through a national accountability framework.

3. 3

   Consolidate digital reporting pathways to reduce duplication, improve DHIS2 data integrity, and enable real-time sub-national dashboards accessible to programme managers.

4. 4

   Invest in structured, practical capacity building for EPI data officers and health managers — focused on validation procedures, indicator interpretation, and evidence use for decision-making.

5. 5

   Redesign district and upazila review meeting formats to make routine EPI data the primary basis for operational decisions, coverage improvement targeting, and resource reallocation.