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

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

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

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

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)

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.

Data Verification

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.

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

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

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

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

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

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.

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