Review of Post-Distribution Monitoring Tools - Analysis and Insights

 
Review of Post Distribution
Monitoring Tools
 
PQWG – August 2014
Ruco Van Der Merwe
 
Objectives
 
Review and analyze existing PDM tools and
methodologies being used by partners
Develop common PDM template and/or
methodological guidance if desired by PQWG
 
Data Sources
 
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16 Participants
 
Analysis
 
-
Examined commonalities (themes) across three spheres
-
Themes only occurring once were dropped
-
Outcome indicators indicated in red
 
Generally conducted 1-2 weeks following
distributions.
Simple random sampling where beneficiary lists
are available.
Unit of sampling: Beneficiary Household
Sample Size:
Sample 3-10% of total beneficiary population
90% C / +-10% CI
95% C / +-5% CI
 
Common Themes
 
Given that PDMs are routine data collection
mechanisms, is it realistic/useful to gather
large sample sizes?
Should brevity be valued to ensure increased
accuracy and predictability?
 
Questions
 
Lessons Learned
 
Tracking outcomes is not mainstreamed across
PDMs.
Wide variation in PDM length and
methodology.
 
Next Steps
 
Is there a need for PDM template which
captures most frequently used elements?
Is there a need for methodological guidance?
What about market monitoring / surveillance?
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This review analyzes existing post-distribution monitoring tools and methodologies used by various partners, highlighting common themes and challenges. It discusses the need for a common monitoring template and methodological guidance to streamline processes. Key findings include variations in monitoring practices and the importance of tracking outcomes. The review concludes with recommendations for the development of standardized monitoring tools and market surveillance processes.

  • Monitoring Tools
  • Post-Distribution
  • Analysis
  • Methodologies
  • Data Collection

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  1. Review of Post Distribution Monitoring Tools PQWG August 2014 Ruco Van Der Merwe

  2. Objectives Review and analyze existing PDM tools and methodologies being used by partners Develop common PDM template and/or methodological guidance if desired by PQWG

  3. Data Sources 16 Participants WFP South Sudan World Vision Samaritan's Purse FAO WFP Solidarites ACF Somalia CVMG OXFAM (Philippines) CARE (Pakistan) Caritas UNHCR Secondary Through Internet 33% Directly From Partner 67%

  4. Analysis - - - Examined commonalities (themes) across three spheres Themes only occurring once were dropped Outcome indicators indicated in red IN-KIND PDM C&V PDM METHODOLOGY

  5. Inclusion Rate IN-KIND PDM 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0%

  6. Inclusion Rate C&V PDM 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0%

  7. Common Themes METHODOLOGY Generally conducted 1-2 weeks following distributions. Simple random sampling where beneficiary lists are available. Unit of sampling: Beneficiary Household Sample Size: Sample 3-10% of total beneficiary population 90% C / +-10% CI 95% C / +-5% CI

  8. Questions METHODOLOGY Given that PDMs are routine data collection mechanisms, is it realistic/useful to gather large sample sizes? Should brevity be valued to ensure increased accuracy and predictability?

  9. Lessons Learned Tracking outcomes is not mainstreamed across PDMs. Wide variation in PDM length and methodology.

  10. Next Steps Is there a need for PDM template which captures most frequently used elements? Is there a need for methodological guidance? What about market monitoring / surveillance?

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