Increasing district level
evidence-based decision making
in Côte d’Ivoire
Tara Nutley
MEASURE Evaluation / Futures Group
M...
Improving Information Systems
 Global commitment to M&E and information
systems have generated more & improved data
Data Demand & Use Intervention
 8 mutually reinforcing activity areas that are
based on the literature & MEASURE
Evaluati...
Data Use Intervention
1. Assess the data use context
2. Engage data users & producers
3. Identify information needs
4. Imp...
Data-informed decision making in Côte
d’Ivoire
1. Assess data use context
 PRISM 2008 - found improved RHIS processes but
weaknesses in data quality and use of informat...
2. Engage data users & producers
 Regional data review meetings every 6 months
 Questions identified
 Additional analys...
4. Improve Data Quality
 National data management procedures manual
 Trained at central & regional levels in data qualit...
5. Improve data availability
(access, synthesis, communication)
 Created and disseminated data use modules for the
OVC da...
6. Build data use core competencies
 Data use concepts & tools incorporated into 4 in-
service & pre- service training in...
7. Strengthen organization’s data
use infrastructure
 M&E staffing
 MOH mandated new regional positions - Head
of M&E
 ...
8. Evaluate results
PRISM results 2008 & 2012
 Data use
 44% to 70% district level
 38% - no change facility level
 Da...
8. Assess data use results (cont.)
Observed results:
 Engagement & ID information needs -
Established 2 types of quarterl...
Data Use
Instructions
• Divide into groups
• First group selects a category and $ amount and
receives a question (groups c...
Data Use
Building Blocks Theory Similar
Experiences
200 200 200
400 400 400
600 600 600
Daily Double
MEASURE Evaluation is funded by the U.S. Agency for
International Development (USAID) and implemented by the
Carolina Popu...
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Increasing District Level Evidence-based Decision Making in Cote d'Ivoire

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Presentation by Tara Nutley at the March 2014 Global Health Mini University.

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Increasing District Level Evidence-based Decision Making in Cote d'Ivoire

  1. 1. Increasing district level evidence-based decision making in Côte d’Ivoire Tara Nutley MEASURE Evaluation / Futures Group Mini University, Washington DC March 7, 2014
  2. 2. Improving Information Systems  Global commitment to M&E and information systems have generated more & improved data
  3. 3. Data Demand & Use Intervention  8 mutually reinforcing activity areas that are based on the literature & MEASURE Evaluation experience  Traditional M&E activities coupled with linkages to decision makers & decision making functions
  4. 4. Data Use Intervention 1. Assess the data use context 2. Engage data users & producers 3. Identify information needs 4. Improve data quality 5. Improve data availability (access, synthesis, communication) 6. Build capacity in data use core competencies 7. Strengthen organization’s data use infrastructure 8. Evaluate & communicate data use successes
  5. 5. Data-informed decision making in Côte d’Ivoire
  6. 6. 1. Assess data use context  PRISM 2008 - found improved RHIS processes but weaknesses in data quality and use of information
  7. 7. 2. Engage data users & producers  Regional data review meetings every 6 months  Questions identified  Additional analysis  Recommendations for improved programs  Tool application 3. Identify information needs
  8. 8. 4. Improve Data Quality  National data management procedures manual  Trained at central & regional levels in data quality procedures & use of RDQA  RDQA applied during supervision by MOH
  9. 9. 5. Improve data availability (access, synthesis, communication)  Created and disseminated data use modules for the OVC database & care and treatment database
  10. 10. 6. Build data use core competencies  Data use concepts & tools incorporated into 4 in- service & pre- service training institutions  Schools of: health professionals, public health, statistics & economics, social training  Trained: students, PEPFAR IPs, MOH staff  Cascade training
  11. 11. 7. Strengthen organization’s data use infrastructure  M&E staffing  MOH mandated new regional positions - Head of M&E  Six regions hired regional M&E specialists  1 region hired 6 district M&E officers  Regular regional data review meetings, data use use tools, DQA procedures
  12. 12. 8. Evaluate results PRISM results 2008 & 2012  Data use  44% to 70% district level  38% - no change facility level  Data quality  43% to 60% at district level  40% to 81% at facility level  Data availability - facility level (information feed back)  7% to 29%
  13. 13. 8. Assess data use results (cont.) Observed results:  Engagement & ID information needs - Established 2 types of quarterly strategic data use meetings  Capacity building - data use curriculum in national universities  Institutionalization - National guidelines & protocols, regular data use fora, new positions to oversee data use activities
  14. 14. Data Use Instructions • Divide into groups • First group selects a category and $ amount and receives a question (groups can confer among themselves for the answer) • The first group to raise their flag answers. If answered correctly they get the points. If incorrect they lose the points and the first group to raise their flag can answer.
  15. 15. Data Use Building Blocks Theory Similar Experiences 200 200 200 400 400 400 600 600 600
  16. 16. Daily Double
  17. 17. 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 International, 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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