1. Session: 9 On-going Monitoring & Follow Up
MEASURE EVALUATION
Data Quality Assurance Workshop
Session: 9
On-going Monitoring & Follow Up

2. Topics to Cover The benefits of Supportive Supervision after the RDQA
Monitoring trends and performances

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

4. What is Supportive Supervision?
Focus on problem solving, encouragement and learning
Validate and improve data collection process
Identify problems and difficulties
Assist region/district/village health worker in implementing solutions
Joint problem solving
Provide technical assistance and guide program development
Focus on follow up, actions items, etc…
Open the RDQA Tool to show a quick overview of each worksheet

5. Purpose of Supportive Supervision
Monitoring assess implementation of recommendations
Training teach/focus on competency development/group approach
Mentoring coach/focus on moral/competency development/individual approach

6. What does Supportive Supervision Consist of?
Supportive supervision should be considered as capacity building, not as evaluation and giving sanctions
Assessment of practices (through observations, discussions, records and outputs review).
A participatory discussion of observations, highlighting both positive and negative findings.
A discussion on a small number of weaker areas that everyone agrees they can improve.
A discussion of the strategy and steps for implementation, including what each level of the system staff must perform.
A written record of the joint agreements on changes (improvements) that all are committed to, to be followed-up afterwards.

7. Data Management Principles related to Supportive Supervision
Data Quality
Collect what is needed
Make good use of what you collect
Empower staff to both collect and use data
Promote data quality so that staff produce accurate, reliable, complete and on time data/reports
Provide feedback on data collected and outputs / outcomes

8. Follow up Data Verification
Recommended that they be conducted at all sites included in the RDQA
Additional sites may be included at M&E Officer’s discretion
Dependent on time and resources available

9. Track Progress Over Time
Plot verification factors for the indicators accessed on a line graph to see whether or not they have improved
Can do the same for reporting performance

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

11. Questions & Answers

12. 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.