1. Session: 4 Using the RDQA tool for Data Verification
MEASURE EVALUATION
Data Quality Assurance Workshop
Session: 4
Using the RDQA tool for Data Verification

2. Topics to Cover Review of the RDQA worksheets
Review of the RDQA process
Use of the tool for Data Verification

3. RDQA Worksheets Sheet 1 – Start Sheet 2 – Instructions
Sheet 3 – Information Page
Sheet 4 – Service Point 1
Sheet 5 – Service Site Summary
Sheet 6 – District Site 1
Sheet 7 – District Summary
Sheet 8 – Region Site 1
Sheet 9 – Regional Summary
Sheet 10 – M&E Unit
Sheet 11 – System assessment Summary
Sheet 12 – Global Dashboard
Sheet 13 – RDQA Final Action Plan
Sheet 14 – List of Survey questions
Open the RDQA Tool to show a quick overview of each worksheet

4. Ongoing Monitoring & Follow up
The RDQA Process
Data Verification
System Assessment
Interpret the Output
Develop Action Plans
Disseminate Results
Ongoing Monitoring & Follow up

5. Part I of RDQA Tool: Data Verification
Purpose
Assess if sites are collecting and reporting data to measure the selected indicator(s) accurately and on time
Cross-check the reported results with other data sources (service delivery level only)

6. Compares recounted to reported data
Data Verification
Quantitative
Compares recounted to reported data
Observe or Describe
Connection between the delivery of services/commodities and the completion of the source document that records that service delivery
Review Source Documents
Review availability and completeness of all indicator source documents for the selected reporting period
Verify reported data
Cross-checks
Perform “cross-checks” of the verified report totals with other data-sources
Spot checks
verify the actual delivery of services or commodities to the target populations
Documentation review = describe answering yes/no questions to whether the source documents required for the assessment are available, completed and within the required reporting period.

7. Data Verification

8. Cross-checks
Validate the primary data source against a secondary data source for the same reporting period
E.g., cross-check data in the register with inventory records for treatment drugs, test kits, ITNs, etc. to see if these numbers match the reported results
If possible, cross-checks should be performed in both directions
Patient Treatment Cards Register
Register Patient Treatment Cards
Cross checks = verification of the value of the indicator found in the periodic summary report against an alternative data source. The degree to which the two sources match is an indication of good data quality. Give an example to illustrate this point.

9. Data Verification at Service Delivery Point
3 sub-components
Reviewing source documentation
Verifying reported results
Cross-checking reported results with other data sources
Each subcomponent includes questions to be answered by staff at the Service Delivery Site

10. Hopefully, source documents do not look like this
Data Verification
Hopefully, source documents do not look like this

11. Data verification at Intermediate Aggregation Site
2 sub-components
Reviewing site reports
Verifying reported results
Each subcomponent includes questions to be answered by staff at the Intermediate Aggregation Site and M&E Unit

12. Data Verification in the RDQA Tool
Now let’s explore the data verifications sections in more detail within the RDQA tool

13. Questions & Answers Q & A
Exercise: Data verifications at Service Delivery Level

14. MEASURE Evaluation is funded by the U.S. Agency for
International Development (USAID) and implemented by the
Carolina Population Center at the University of North Carolina at
Chapel Hill in partnership with Futures Group, ICF International,
John Snow, Inc., Management Sciences for Health, and Tulane
University. Views expressed in this presentation do not necessarily
reflect the views of USAID or the U.S. government.
MEASURE Evaluation is the USAID Global Health Bureau's
primary vehicle for supporting improvements in monitoring and
evaluation in population, health and nutrition worldwide.