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Contents<br />

<strong>Field</strong> Articles<br />

3 MUAC versus weight-for-height debate in the Philippines<br />

30 Examining the integration <strong>of</strong> Food by Prescription into HIV care and<br />

treatment in Zambia<br />

46 Increasing Access to Ready-to-use Therapeutic Foods (RUTF)<br />

59 Improving blanket supplementary feeding programme (BSFP) efficiency<br />

in Sudan<br />

63 Multi-pronged approach to the management <strong>of</strong> moderate acute<br />

malnutrition in Guinea<br />

Focus on coverage assessment<br />

33 Foreword<br />

34 Remote monitoring <strong>of</strong> CMAM programmes coverage: SQUEAC lessons in<br />

Mali and Mauritania<br />

37 Causal analysis and the SQUEAC toolbox<br />

39 Using SLEAC as a wide-area survey method<br />

45 News<br />

• Register now for coverage assessment workshop in Oxford<br />

• Coverage assessment forum launched on en-net<br />

• Technical Reference for SQUEAC and SLEAC Methods, 2012<br />

Research<br />

6 Qualitative review <strong>of</strong> an alternative treatment <strong>of</strong> SAM in Myanmar<br />

9 Dangerous delay in responding to Horn <strong>of</strong> Africa early warnings <strong>of</strong> drought<br />

11 Community case management <strong>of</strong> severe acute malnutrition in southern<br />

Bangladesh<br />

12 Mortality risk factors in severely-malnourished children hospitalised with<br />

diarrhoea<br />

13 Voices from the field: Optimising performance for humanitarian workers<br />

15 Exclusive breastfeeding promotion by peer counsellors in sub-Saharan<br />

Africa<br />

15 Effects <strong>of</strong> a conditional cash transfer programme on child nutrition in Brazil<br />

16 MUAC and weight-for-height in identifying high risk children<br />

17 Civil-military coordination during humanitarian health action<br />

18 Operational research in low-income countries: what, why, and how?<br />

20 Effects <strong>of</strong> agricultural and nutrition education projects on child health in<br />

Malawi<br />

21 Study <strong>of</strong> causes <strong>of</strong> persistent acute malnutrition in north Darfur<br />

22 Effects <strong>of</strong> performance payments to health workers in Rwanda<br />

23 ‘Zap’ it to me: short-term impacts <strong>of</strong> a mobile cash transfer programme<br />

24 Revisiting the concept <strong>of</strong> growth monitoring and its possible role in<br />

community-based programmes<br />

26 Political economy <strong>of</strong> adaptation through crop diversification in Malawi<br />

27 Practical challenges <strong>of</strong> evaluating BSFP in northern Kenya<br />

News<br />

48 UNHCR Technical Workshop on the Operational Guidance on the use <strong>of</strong><br />

Special Nutritional Products<br />

49 infoasaid: communication in emergencies<br />

50 Experiences <strong>of</strong> the Nutrition in Emergencies Regional Training Initiative<br />

53 Minimum Reporting Package (MRP) on Supplementary Feeding Programmes<br />

54 Improving patient assessment: The ‘MOYO’ Weight-for-Height Chart<br />

54 E-learning course on Social Safety Nets<br />

55 En-net update<br />

55 Attractive scholarship for EDAMUS Masters programme<br />

55 Government <strong>of</strong> Sudan CMAM Training Course on Inpatient Management <strong>of</strong><br />

Severe Acute Malnutrition: Training Materials (2011)<br />

56 UNHCR standardised nutrition survey guidelines and training<br />

57 Putting nutrition products in their place: ACF position paper<br />

58 Conference on government experiences <strong>of</strong> CMAM scale up, Ethiopia, 2011<br />

Evaluation<br />

61 Evaluation <strong>of</strong> Concern’s response to the Haiti Earthquake<br />

63 Review <strong>of</strong> Integrated Food Security Programme in Malawi<br />

Agency Pr<strong>of</strong>ile<br />

32 Centres for Disease Control and Prevention (CDC), International<br />

<strong>Emergency</strong> and Refugee Health Branch (IEHRB)<br />

68 Obituaries<br />

From the Editor<br />

This <strong>issue</strong> <strong>of</strong> <strong>Field</strong> <strong>Exchange</strong> gives extended coverage to a<br />

briefing paper just released by Oxfam and SC UK on the<br />

2011 response to the Horn <strong>of</strong> Africa crisis. This paper argues<br />

that the response was late and led to the unnecessary<br />

deaths <strong>of</strong> between 50,000 to 100,000 people, at least half <strong>of</strong> whom<br />

were children under 5 years. According to the authors, there was<br />

sufficient early warning to trigger a response as early as November<br />

2010 but the main response only unravelled in July 2011, following<br />

declaration <strong>of</strong> famine and concerted media coverage. The paper<br />

identifies the usual litany <strong>of</strong> reasons for <strong>this</strong> failure <strong>of</strong> response, i.e.<br />

only responding when media attention is overwhelming, politically<br />

influenced decision-making, time-lags between early warning and<br />

appeals, making appeals on the basis <strong>of</strong> capacity to deliver and<br />

access rather than need, inability to act on risk and forecasts and the<br />

divide between development and emergency programming and<br />

funding. These reasons are familiar to most <strong>of</strong> us and were largely<br />

applied to analyses <strong>of</strong> previous failures <strong>of</strong> response going back as<br />

far as the Sahelian famine <strong>of</strong> 1984. However there is a coherence<br />

and clarity in <strong>this</strong> paper, particularly in the way it trains its focus on<br />

the need for future response to be based more upon risk reduction<br />

and the institutional structural change needed to support such an<br />

approach.<br />

The ENN fully supports the recommendations in <strong>this</strong> briefing<br />

paper and believes that <strong>this</strong> important document can provide a<br />

powerful advocacy tool for change. Some <strong>of</strong> the <strong>issue</strong>s around the<br />

emergency/development divide raise uncomfortable questions for<br />

the ENN itself, which we will reflect upon in due course. There is<br />

however one important element <strong>of</strong> the analysis which we feel is not<br />

adequately addressed in the report. This relates to the relationship<br />

between early warning and donor response and the recommendation<br />

for use <strong>of</strong> earlier triggers and risk analysis. These<br />

recommendations are hardly new and have been made repeatedly<br />

over the past 25 years. The piece <strong>of</strong> the jigsaw that is still missing is<br />

the lack understanding and transparency about ‘how donors make<br />

decisions whether to respond’. The failure <strong>of</strong> donor response over<br />

many years in certain high pr<strong>of</strong>ile emergencies suggests that there<br />

are complex political and institutional processes that hinder timely<br />

and effective response, including the type <strong>of</strong> risk taking advocated<br />

in the Oxfam/SC UK briefing paper. The nutrition community,<br />

perhaps not unsurprisingly, continues to focus on ‘technical’ solutions,<br />

yet until we have a better understanding <strong>of</strong> the constraints<br />

faced by donors and their ‘room for manoeuvre’ to effect change,<br />

our technical solutions will have little impact on response. We therefore<br />

strongly support any advocacy efforts that encourage donors<br />

to systematically analyse their decision-making processes during<br />

emerging crises and to make such findings publically available.<br />

And now to the rest <strong>of</strong> <strong>this</strong> <strong>Field</strong> <strong>Exchange</strong> edition. <strong>Field</strong> articles<br />

in <strong>this</strong> <strong>issue</strong> <strong>of</strong> <strong>Field</strong> <strong>Exchange</strong> (no 42) can largely be divided into<br />

those related to the treatment <strong>of</strong> severe acute malnutrition (SAM)<br />

and those related to treatment and prevention <strong>of</strong> moderate acute<br />

malnutrition (MAM). Three <strong>of</strong> the SAM related articles describe the<br />

experience <strong>of</strong> conducting different types <strong>of</strong> coverage surveys for<br />

community based management <strong>of</strong> acute malnutrition (CMAM)<br />

programmes and feature in a special section <strong>of</strong> <strong>this</strong> <strong>issue</strong> on coverage<br />

assessment. An article by Ernest Guevarra, Saul Guerrero, and<br />

Mark Myatt describes the use <strong>of</strong> the SLEAC method to assess<br />

national level coverage <strong>of</strong> CMAM in Sierra Leone. The advantage <strong>of</strong><br />

the approach is that relatively small sample sizes are required to<br />

make accurate and reliable classifications <strong>of</strong> coverage and to identify<br />

barriers to programme access. Assessments can therefore be<br />

completed relatively quickly. The authors conclude that the SLEAC<br />

method should be the method <strong>of</strong> choice when evaluating coverage<br />

<strong>of</strong> CMAM programmes at regional or national level. An article by<br />

Jose Luis Alvarez Moran, Brian Mac Domhnaill and Saul Guerrero at<br />

Action Contre la Faim (ACF) describes the experience <strong>of</strong> conducting<br />

remote SQUEAC investigations in Mali and Mauritania where certain<br />

areas are difficult to reach by external investigators. The approach<br />

does require greater reliance on field teams, as well as strengthening<br />

or modifying certain SQUEAC processes, e.g. separating the data<br />

collection and analysis processes, using new technologies and<br />

addressing supervision and motivation <strong>issue</strong>s proactively. A third<br />

article on coverage assessment describes the use <strong>of</strong> the SQUEAC<br />

method to undertake a causal analysis <strong>of</strong> SAM in rural areas <strong>of</strong> eastern<br />

Sudan. The data collected were sufficient to identify risk factors<br />

and risk markers (i.e. diarrhoea, fever, early introduction <strong>of</strong> fluids<br />

other than breastmilk) that were associated with SAM. The authors<br />

suggest that it is possible to use the SQUEAC toolbox to collect<br />

causal data using staff trained as SQUEAC supervisors and trainers,<br />

although data analysis may require staff with a stronger background<br />

in data-analysis.<br />

1

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