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Adapting Data Quality Assurance Approaches and Tools to Meet Local Needs
- 1. Adapting Data QualityAssurance Approaches and Tools to Meet Local Needs Stephanie Mullen MEASURE Evaluation End-of-Phase-III Event, May 22, 2014
- 2. Why Do WeCare About Data Quality? UNAIDS “Organizing Framework for a Functional National HIV M&E System”
- 3. Data Quality Tools DataQuality Audit Tool Routine Data Quality Assessment Tool Organization The Global Fund, USAID, MEASURE Evaluation, 2008 MEASURE Evaluation Purpose Assess data accuracy, reporting performance, and strengths and weakness of underlying M&E system that generates the data Streamlined version of the DQATool that is used to verify the quality of reported data for key indicators at selected sites and assess the ability of the data management system to collect, manage, and report high quality data Uses Used by GF, USAID and others to conduct independent data quality audits of their program Used as a self-assessment tools by programs to assess the quality of their data and use the findings to develop action plans to strengthen their data management and reporting systems Languages English, French, Spanish, Portuguese English, French, Spanish, Portuguese
- 4. 4 Additional Data QualityTools Multi-Indicator RDQA Tool Longitudinal RDQA Tool
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- 6. Botswana SuzanneCloutier Tanzania Karen Foreit Country Experiences
- 7. Adapting Data QualityAssurance Approaches and Tools to Meet Local Needs in Botswana Suzanne Cloutier, Sergio Lins MEASURE Evaluation End-of-Phase-III Event, May 22, 2014
- 9. Data Quality AssuranceApproach Objective Routine Monitoring (all health programs) Sampling Purposive Data Collectors Health Programs District Health Management Teams (DHMT) Data Users Health Programs DHMTs Service Delivery Sites
- 10. Deliverables DataQuality StandardOperating Procedures(SOP) Routine Data Quality Assessment (RDQA) SOP Botswana-RDQA Tool (B-RDQATool) B-RDQATool UserManual Data Quality Training Curriculum
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- 13. Data Quality TrainingWorkshops Nov 2012 Apr 2013
- 14. Sharing Our Process GlobalMaternal Health Conference 2013 American Public Health Association Annual Meeting 2013
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- 16. Evidence of Success •M&E Officers conduct RDQAs • Present results to District Health ManagementTeams District • M&E Officers presented findings from data quality assessments • Included action plans National M&E Forum • Formalize RDQAs as a routine activity for districts National Health M&E Plan
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- 18. Adapting Data QualityAssurance Approaches and Tools to Meet Local Needs in Tanzania Karen Foreit, Mari Hickmann, Zaddy Kibao, Dawne Walker, and Willis Odek MEASURE Evaluation Phase III EOP, May 22, 2014
- 19. MEASURE Evaluation inTanzania Strengthen M&E systems and capacity Improve data quality Enhance individual and organizational capacity Promote data for decision making
- 20. DQA for M&ECapacity-building New sampling procedures New instruments Tailored training Measure change
- 21. Stratify sites: By size (large vs. small) and By location (close to vs. far from regional office/HQ) Select from all strata New Sampling Procedures
- 22. New Data CollectionInstrument Community Trace and Verify Visit “claimed” beneficiaries Ask what services they received Compare answers to activity reports
- 23. No more “M&E101”! Tailored Capacity-building Prioritize problems identified by DQA Group participants with common problems Follow group training with individualized mentoring
- 24. Empiricalevidenceof projectsuccessand/or continuingchallenges Measure Change RepeatDQA Focus on areas selected for capacity-building Include new sites
- 25. Measure Change 0 1 2 3 4 Structures Guidelines Forms Data mgmt Decision- making Linksto Nat'l system Follow-up Baseline 0 1 2 3 4 Structures Guidelines Forms Data mgmt Decision- making Links to Nat'l system Follow-up Baseline
- 26. Measure Change 0 1 2 3 4 Structures Guidelines Forms Data mgmt Decision-making Linksto Nat'l system Follow-up Baseline
- 27. Results Measurable improvements inM&E plans, performance and data quality Partners budgeting for M&E and hiring staff, providing supportive supervision, building capacity, conducting internal DQA
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- 29. Concluding Thoughts Adaptfor local use Adaptions should be careful documented RDQA should be institutionalized within the local organization Use “actionable findings”
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