# From Estimated Targets to Verified Coverage: Implementation of a Community Health Worker-Based Tracking Intervention to Address Denominator Inaccuracies in High-Risk Urban Settings of Balochistan, Pakistan

**Authors:** Rubab Kamran, Maliha Fatima, Babar Shahid, Muhammad Ayaz, Farid Ullah Khan, Simran Siraj, Zainab Farid, Noshad Ali, Ali Turab, Soofia Yunus, Zaffar Iqbal, M. Imran Khan

PMC · DOI: 10.3390/vaccines14030262 · Vaccines · 2026-03-13

## TL;DR

This study shows how using community health workers to track children's immunization improves coverage and accuracy in urban Pakistan.

## Contribution

A CHW-based tracking system was implemented to correct denominator inaccuracies in immunization programs in high-risk urban areas.

## Key findings

- Penta-3 coverage increased from 22% to 95% after implementing the CHW-based tracking system.
- Zero-dose conversion improved from 45% to 65%, and defaulter follow-up rose from 14% to 79%.
- All three union councils transitioned to Category 1 operational status with improved administrative coverage.

## Abstract

Background: Routine immunization programs in Pakistan rely heavily on estimated population denominators, limiting accurate identification and follow-up of zero-dose and under-immunized children, particularly in high-risk urban settings such as Quetta, Balochistan. Methods: A quasi-experimental, pre–post implementation study was conducted from June 2024 to June 2025 across three low-performing union councils. A CHW-based household tracking tool was integrated within existing PEI–EPI systems. Data were derived from CHW Books, Rapid Convenience Assessments (RCA), and routine MIS reports. Descriptive statistical analysis was employed to assess trends in immunization coverage and program performance; no inferential statistical tests were applied due to the use of complete programmatic (census-based) data rather than sampled observations. Results: Antigen-specific coverage improved substantially, with Penta-3 coverage increasing from 22% to 95%, zero-dose conversion from 45% to 65%, and defaulter follow-up from 14% to 79%. All three union councils transitioned to Category 1 operational status. Administrative coverage exceeding 100%, reflecting population-level coverage and denominator correction rather than true population-level coverage. Conclusions: Integrating CHW-based tracking with dynamic denominator verification enhances routine immunization, microplanning, equity, and operational performance in high-risk LMIC urban settings.

## Full-text entities

- **Genes:** AMH (anti-Mullerian hormone) [NCBI Gene 268] {aka MIF, MIS}
- **Diseases:** injury to (MESH:D014947), deaths (MESH:D003643), MIS (MESH:C000718087), measles (MESH:D008457), Polio (MESH:D011051)
- **Chemicals:** DTP1 (-), 13-C (MESH:C000615229), Penta (MESH:C064764), MP (MESH:C063925)
- **Species:** Homo sapiens (human, species) [taxon 9606], Bacillus sp. CG (species) [taxon 1196795], Enterovirus C (no rank) [taxon 138950]

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13029881/full.md

## References

22 references — full list in the complete paper: https://tomesphere.com/paper/PMC13029881/full.md

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Source: https://tomesphere.com/paper/PMC13029881