Improving immunization coverage and equity - technical resources
Comparing Resources
Tip: You can share the address of this page to allow others to view your comparison
| Resource | Data Quality Review |
|---|---|
| Purpose | The framework and toolkit support routine, annual and periodic independent assessments of facility-reported data for MCH, Immunizations, HIV, TB and malaria programmes. |
| Content | Guidelines and tools that lay the basis for a common understanding of data quality. The toolkit includes an implementation guide, associated tools and training materials organized into 3 distinct modules: of 1. Framework and metrics, 2. Desk review of data quality and 3. Data verification and system assessment. |
| Expected outcomes | The results will point to weaknesses in data management, which should then trigger development of a Data Quality Improvement Plan. |
| Strengths | Assesses data quality at every level of this system and is not program specific. The approach promotes efficient use of resources for a harmonized approach rather than uncoordinated single program reviews. |
| Contraints/Limitations | Data verification component (part 3 of framework) requires a high level of field work and financial commitment. |
| Why use it | The DQR assists to form an accurate picture of health needs, programs, and services. It informs appropriate planning and decision making at every level of the health system, as well as effective and efficient allocation of resources and support ongoing monitoring, by identifying best practices and areas where support and corrective measures are needed. High-quality data provides evidence to providers and managers to optimize healthcare coverage, quality, and services. |
| Who should use it | National HMIS, program managers. District/Facility managers. |
| Additional Links | |
| Link to access the resource | /en/component/content/article/data-quality-review?catid=660&Itemid=101 |