RRMP – Rapid Response to Movements of Population

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Presentation transcript:

RRMP – Rapid Response to Movements of Population Global Shelter Cluster – NFI Workshop Nairobi, 7-9 December 2016

Why developed? Extensive often recurring needs and limited resources Difficulties in prioritizing affected areas for assistance Inadequacies of using social vulnerability or beneficiary profile (all IDPs, all returnees, etc.) as a proxy for NFI vulnerability Interest in better determining NFI need specifically

The NFI Score-Card in DRC  Quantity and Quality of : 3. Bassine 1. Jerry-cans 2. Casserole 3. Basin, Bucket, other containers 2. Cooking pots 4. Tools 4. Outils aratoires 5. Bed / mattress / mat 6. Blanket / sheets 8. Children’s clothing 7. Women’s clothing

What it is and how it has evolved Guidance Notes on sample size and methodology for 35 / 70 / 100 households how to score different items Gives a score per household and across selected area on NFI vulnerability 0 - 5 3 – 3.9 : moderate acute vulnerability 4 – 5 : severe acute vulnerability Changes over time – removing mosquito nets, adding in basins / buckets Training of NFI actors

2016 – Humanitarian Needs Overview (HNO)

What it tells you

What it tells you Article Score = 0 Score = 1 Score = 2 Score 3 Score Total 0% 3% 33% 48% 16% Bidon   1% 13% 41% 32% Casserole 12% 35% 10% 29% Bassine 7% 28% 52% Outil aratoire 62% Couchage 4% 26% 42% Couverture et drap 25% 46% 23% Habit - complet enfant 54% Habit - complet femme 39% 9% Table 3 - Score NFI par groupe de richesse Groupe de population Score NFI Le tier le plus pauvre 4.4 La moyenne 3.7 Le tier le plus riche 2.9 Coefficient de Gini .3

What it tells you

Measuring Outcomes / Improvements – RRMP 2015

Changes in Score-Card by family size (NRC/RRMP – 2015)

REACH Evaluation Support from Global Shelter Cluster Evaluating the Tool / Data Collection / Use November 2016 – Lea Macias in DRC Interviews Observation of Teams Focus Groups Reliability Testing

REACH Evaluation - Conclusions Tool and approach is sound– right items / no need for different weighting Data collection – highly subjective, too much room for interpretation Issue of ownership vs. access (IDPs in host families) Directions in guidance note not followed / guidance note doesn’t address certain issues No Statistical correlation in results between the 2 teams How to better include contextual factors in analysis

REACH Evaluation Next Steps . . . Training and Roll out Workshop with field teams – harmonize approaches Clarify scoring - Ownership – Access – Nothing Qualitiative analysis – How to incorporate Other experiences? - Somalia, CAR, … Training and Roll out