Niger Tera: 61% Point Coverage rate MaiN Barrier: Distance

NigerBaTha:20% Point Coverage rate MaiN Barrier: Distance

SudaN aweil: 23% Point Coverage rate MaiN Barrier: RUTF stockout

SoMaliaBoSaSo idP CaMP: 35% Point Coverage rate MaiN Barrier: Alternative Health practitioners preferred

juLY 2013

CMN ExCHAngE» nEWS » COVERAgE ASSESSMEnTS » UPCOMIng EVEnTS

» recent Coverage Assessments

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l The CMN presented a poster in the global nutrition Cluster annual meeting which took place in geneva on July 8th to 11th .

» upcoming Events

» upcoming Coverage Assessments

leSSoNS learNed workShoPS:As part of the final CMN activities 3 workshops will be held in Dakar, Nairobi and New Delhi during November and December 2013.

NigerUwimana will be carrying out a SQUEAC, it was postponed due to security

SouTh SudaN Melaku will implement a coverage assessment here.

eThioPiaSanjay is will coordinate a SQUEACin a refugee camp

loNdoN MeeTiNg: On the 17th and 18th of October the CMN, in conjunction with ACF, will be holding a meeting in London called ‘What We Know Now: A Decade of CMAM’. For more information click here

CMN ExCHAngE» nEWS » COVERAgE ASSESSMEnTS » UPCOMIng EVEnTS

l next month the CMN will travel to abuja, Nigeria, to participate in the

CMaM Program Coverage work-shop and support the coverage assessments

planned here

l The CMN is working together with uNiCeF to support SQUEACs in Yemen, Philippines, Mauritania, South Sudan and Madagascar

» News

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Indirect Support

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ACF Save the Children World Vision

Helen KellerInternational

French Red Cross/Red Cross at Chad

Caritas Merlin

Concern

GOAL

Malaria Consortium

International Medical Corps

KEY

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Coverage assessments in CMAM ProgrAMMes

» The Cmn effect

» gLoBAL nUTriTion CLUsTer AnnUAL MeeTing: Geneva, 9 - 11 July 2013

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The Coverage Monitoring Network project aims to enhance the capacity

of nutrition programmes to independently design, implement and analyse

coverage assessments. To achieve this, the project offers varying levels

of direct (on-the-job) and indirect (remote) technical support to

programmes around the world. This approach, and the peer-to-peer

support provided by the rapidly growing network, are responsible for the

high number of assessments taking place today. This is the CMN effect.

Jose Luis Alvarez Moran, Sophie Woodhead, Ellie Rogers, Saul Guerrero Action AGAinSt HunGER uK

The Coverage Monitoring network project aims to enhance the capacity of nutrition programmes to independently design, implement and analyse coverage assessments.To achieve this, the project offers varying levels of direct (on-the-job) and indirect (remote) technical support to programmes around the world. This approach,and the peer-to-peer support provided by the rapidly growing network, are responsible for the high number of assessments taking place today. this is the cMn effect.

This graph shows the coverage assessments that have been carried out as a result of the CMn Project since it begun in August 2012.

» 3 examples from Cmn coverage assessments

Low

Medium

High

matam, senegalmarch 2013

This was the 2nd sQUeAC in the area and there has been no improvement since the previous assessment. Despite the remedial actions undertaken following the last sQUeAC (better monitoring, increase in community volunteers trained, home visits), the biggest barriers identified are still present.

toulepleu, Ivory Coastnovember 2012

The assessment was carried out in a rural, western area of ivory Coast. Coverage was estimated to be moderate as a result of a series of factors which included lack of awareness about malnutrition and distance. Key recommendations focused on improving communitymobilisation.

tando mohammad Khan, PakistanJanuary 2013

Program coverage fairly high in this district of Pakistandue to a multitude of boosters such as decentralised oTPs and motivated staff. The key barriers to program access and uptake identified were i) lack of knowledge of the program by carers, and ii) malnutrition not well recognized

Point Coverage: 12.1% (Ci:5.3%-25.8%)

Point Coverage: 42% (Ci: 23.8-62.7)

Point Coverage: 62.6% (Ci 53.8% - 70.6%)

» The Big Picture

34.1%

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POINT n=63 PERIOD n=36

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Coverage Type

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0

Cov

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)

POINT n=20 PERIOD n=16

60

80

40

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35.8%

100

0

Coverage Type

62.6%

A review of coverage surveys carried out by different nGos between 2001 and 2006 provides valuable evidence about the coverage achieved by community-based SAMtreatment programmes in both rural (n=19)and camp settings (n=1). A third of these programmes achieved coverage rateshigher than their relevant SPHERE minimum standards. the decentralised approach coupled with regular detection and case-finding, meant that the model had the potential to reach unprecedented levels of the affected population. compared to previous centralised approaches, the median point coverage of 35.8% was a remarkable improvement.

the introduction of easy -to-use coverage assessment techniques in 2008 significantly increased the availability of coverage data for MoH-integrated services implemented during this period. this large dataset (n=71), in rural (n=58), urban (n=11) and camp (n=2) settings, provides valuable insights into the performance of programmes. this analy-sis shows that although the proportion of the population reached was considerably higher than with previous centralised models, community-based SAM treat-ment failed to consistently achieve the high levels of coverage initially expected. 40% of nGo-implemented programmes achieved coverage >50%, while only 7.9% of MoHimplemented programmes reached the same threshold. the difference is further accentuated when a higher threshold is used (>70%); only 15% of nGo implemented programmes achieve this and no MoH-implemented programmes to date has reported such levels of coverage. these results suggest that although MoH-implemented programmes are potentially capable of reaching a high proportion of the SAM population, the operational conditions to do so are seldom met.

Source: S.Guerrero & E.Rogers; Access for All: Volume I. London, June 2013

Source: S.Guerrero & E.Rogers; Access for All: Volume I. London, June 2013

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