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Data Demand & Use:Strengthening and Organization’s      Capacity to Use Data              Webinar Series #8            Tue...
Troubleshooting If you lose connectivity    Re-enter the meeting room by clicking on the webinar link     provided If y...
Tips for Participating in theDiscussion To comment, raise your hand by clicking on the       icon.    Speak into your mi...
Agenda•   Welcome - webinar tips•   Brief overview of Data Demand and Use•   Presentation of Tools•   Field Application of...
Why improve data-informeddecision making?    Pressing need to develop health        policies, strategies, and             ...
“… without information, things are donearbitrarily and one becomes unsure ofwhether a policy or program will fail orsuccee...
Definitions Data use – Using data in the decision making  process    monitor a program    create or revise a program or...
Data-informed Decision Making Cycle
Improving Data-informed Decision            Making                            Data Users & Data ProducersTool Application ...
Rapid Assessment Stakeholder Engagement Tool Assessment of Data Use Constraints Information Use Mapping Framework for ...
Capacity Building Global DDU Training Resources (curricula)    Data informed decision making – key concepts    Data ana...
Organizational Support Mentoring Strengthening feedback mechanisms Data use supportive supervision checklists Institut...
PEPFAR ServiceDelivery ProjectStrengthens Data Use
PEPFAR Service Delivery Project Large amount of data collected, feeding NNRIMS Data were not being used effectively at s...
Approach with Service Delivery Project                            Data Users & Data ProducersRapid Assessment             ...
Rapid Assessment Phase I: Pre-workshop assessment   Discussion with AIDSRelief SI Team   Observation of “Dashboard Meet...
Capacity Building Three workshops with data producers and data  users:   Central AIDSRelief/Nigeria staff   Facility-ba...
Capacity Building DDU Global Training Resources:    Small group discussion using Assessment of Data     Use Constraints ...
Organizational Support Recommendations provided to central office and  SI Team Collaborative approach to supervision and...
Evaluation Six and 12 month evaluations conducted on-line  with workshop participants Surveys were based on retrospectiv...
Improvements in Data Use Since               the Training                                                                 ...
Success Story“I presented a report which showed a high numberof clients lost to follow up, and told the facilitymanagers t...
Project commitment to data use AIDSRelief fully funded the Capacity Building  and Training strategy New project leadersh...
Organizational changes toimprove data use Specific staff member is responsible for DDU Quarterly M&E Forum Feedback pro...
Questions and Answers
MEASURE Evaluation DDU Resources www.measureevaluation.org/ddu   Data Demand and Use Tool Kit   Data Demand and Use Tra...
Join Data Use NetSend an email to listserv@unc.edu. Leave thesubject field blank and in the body of the messagetype „subsc...
Presenter Contact Information Tara Nutley - tnutley@futuresgroup.com Nicole Judice – njudice@futuresgroup.com
MEASURE Evaluation is funded by the U.S. Agency forInternational Development (USAID) and implemented by theCarolina Popula...
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Strengthening an Organization’s Capacity to Demand and Use Data

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Bringing data users and producers together, applying tools to improve data use, and training health professionals in data-informed decision making cannot be sustained unless mechanisms are put in place to ensure that host organizations are supportive and committed to continued data use.
Recording: http://universityofnc.adobeconnect.com/p9k8b5x0d9g/

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Strengthening an Organization’s Capacity to Demand and Use Data

  1. 1. Data Demand & Use:Strengthening and Organization’s Capacity to Use Data Webinar Series #8 Tuesday, March 6, 2012 Presenters: Tara Nutley, Nicole Judice and Dauda Sulaiman Dauda
  2. 2. Troubleshooting If you lose connectivity  Re-enter the meeting room by clicking on the webinar link provided If you have trouble with audio  Refer to the conference call instructions in the upper right hand corner Send an email to leah.gordon@unc.edu
  3. 3. Tips for Participating in theDiscussion To comment, raise your hand by clicking on the icon.  Speak into your microphone (be sure it is enabled by clicking on the icon at the top of the screen).  Type questions in Q&A window located at the top of your screen.  A recording of the webinar will be made available at www.measureevaluation.org/ddu
  4. 4. Agenda• Welcome - webinar tips• Brief overview of Data Demand and Use• Presentation of Tools• Field Application of Tools• Questions and Answers• Wrap up
  5. 5. Why improve data-informeddecision making? Pressing need to develop health policies, strategies, and interventions
  6. 6. “… without information, things are donearbitrarily and one becomes unsure ofwhether a policy or program will fail orsucceed. If we allow our policies to be guidedby empirical facts and data, there will be anoticeable change in the impact of what wedo.” National-level Policymaker, Nigeria
  7. 7. Definitions Data use – Using data in the decision making process  monitor a program  create or revise a program or strategic plan  develop or revise a policy  advocate for a policy or program  allocate resources Data Demand - decision makers specify what kind of information they want & seek it out
  8. 8. Data-informed Decision Making Cycle
  9. 9. Improving Data-informed Decision Making Data Users & Data ProducersTool Application Capacity Building Organizational Support Monitoring & Evaluation System Improvements
  10. 10. Rapid Assessment Stakeholder Engagement Tool Assessment of Data Use Constraints Information Use Mapping Framework for Linking Data with Action Observation of management meetings and processes Discussions with SI Team and others Site visits
  11. 11. Capacity Building Global DDU Training Resources (curricula)  Data informed decision making – key concepts  Data analysis, interpretation, presentation, communication and use  Providing feedback and sharing information  Developing action plans  Identifying commitments to strengthening data use Tools to facilitate data use
  12. 12. Organizational Support Mentoring Strengthening feedback mechanisms Data use supportive supervision checklists Institutionalizing the Information Use Map and Framework for Linking Data to Action Documenting data use
  13. 13. PEPFAR ServiceDelivery ProjectStrengthens Data Use
  14. 14. PEPFAR Service Delivery Project Large amount of data collected, feeding NNRIMS Data were not being used effectively at sites or within project Pervasive mistrust of data Lack of understanding of how RHIS data could be used Lack of understanding of how key indicators calculated and use for program improvement
  15. 15. Approach with Service Delivery Project Data Users & Data ProducersRapid Assessment Capacity Building Organizational Support Monitoring & Evaluation System Improvements
  16. 16. Rapid Assessment Phase I: Pre-workshop assessment  Discussion with AIDSRelief SI Team  Observation of “Dashboard Meeting”  Information Use Map  Two site visits Phase II: Self-assessment  Small group discussions using the Assessment of Data Use Constraints and Framework for Linking Data with Action
  17. 17. Capacity Building Three workshops with data producers and data users:  Central AIDSRelief/Nigeria staff  Facility-based M&E Officers  Facility-based Program Managers (“Program Coordinators”)
  18. 18. Capacity Building DDU Global Training Resources:  Small group discussion using Assessment of Data Use Constraints and develop action plan;  Discussion of importance of M&E in program management;  Framework for Linking Data with Action;  Hands-on exercises in analysis and interpretation;  Addressing feedback mechanisms; Full explanation of performance indicators.
  19. 19. Organizational Support Recommendations provided to central office and SI Team Collaborative approach to supervision and feedback DDU Supportive Supervision Checklist
  20. 20. Evaluation Six and 12 month evaluations conducted on-line with workshop participants Surveys were based on retrospective reporting about improvements compared to before the workshop
  21. 21. Improvements in Data Use Since the Training 95%100% 85% 86% 76%80% 55%60%40%20% 0% Presented data Assisted Aware of LPTF Implemented Explain graphically decision makers using info from solutions to indicators with MR identified relevance to interpretation barriers service delivery
  22. 22. Success Story“I presented a report which showed a high numberof clients lost to follow up, and told the facilitymanagers that this shows we are not actually doinghome visits appropriately to track clients. I askedfor permission to coordinate home visit activities,and now there is an active home visit team in thefacility.” M&E Officer, ART Facility Nigeria
  23. 23. Project commitment to data use AIDSRelief fully funded the Capacity Building and Training strategy New project leadership promotes SI and use of data for program improvement Atmosphere and communication at management meetings are more productive and collaborative
  24. 24. Organizational changes toimprove data use Specific staff member is responsible for DDU Quarterly M&E Forum Feedback provided to sites and reviewed in PMT meetings  Service delivery improvements Central team meetings – discuss data and exchange best practices Clinical advisors routinely request data
  25. 25. Questions and Answers
  26. 26. MEASURE Evaluation DDU Resources www.measureevaluation.org/ddu  Data Demand and Use Tool Kit  Data Demand and Use Training Resources
  27. 27. Join Data Use NetSend an email to listserv@unc.edu. Leave thesubject field blank and in the body of the messagetype „subscribe DataUseNet.‟ For example:To: listserv@unc.eduFrom: youremail@youremail.comSubject:Subscribe Data Use Net
  28. 28. Presenter Contact Information Tara Nutley - tnutley@futuresgroup.com Nicole Judice – njudice@futuresgroup.com
  29. 29. MEASURE Evaluation is funded by the U.S. Agency forInternational Development (USAID) and implemented by theCarolina Population Center at the University of North Carolinaat Chapel Hill in partnership with Futures Group International,ICF International, John Snow, Inc., Management Sciences forHealth, and Tulane University. Views expressed in thispresentation do not necessarily reflect the views of USAID or theU.S. government.MEASURE Evaluation is the USAID Global Health Bureausprimary vehicle for supporting improvements in monitoring andevaluation in population, health and nutrition worldwide

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