Somalia SMART Survey Consultancy - Kismayo, Beletweyn, Cadaado

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Save the Children

Job Details
Employer: Save the Children
Job Title: Somalia SMART Survey Consultancy - Kismayo, Beletweyn, Cadaado
Job Type: Contractor/Consultant
Location: Somalia
Category: Other


Save the Children has worked in Somalia/Somaliland since 1951 and has provided emergency assistance since 1970 whenever there has been need. In 2016, SCI directly reached 600,936 children. Each year about 650,000 people benefit from our longer term development work in Health, Nutrition, Water, Sanitation & Hygiene (WASH), Education, Food Security and Livelihoods (FSL), Child Protection and Child Rights Governance.

SCI has long-standing experience and expertise in implementing nutrition programmes in Somalia targeting children and PLW women. The nutrition program follows the Community Management of Acute Malnutrition (CMAM) program, implementing both preventive and curative components. In additional to implementation, SCI plays an active role in support of nutrition surveillance through generation of quality information through standard survey and other research work.

In February to March 2017 SCI conducted SMART surveys that were key pointers to the worsening drought situation that came later to be confirmed through national level livelihood surveys. All technical projections suggests that 2018 starts at a worst state in terms of nutrition and FSL situation compared to same period in 2017. It is there important that actual data to support this is generated and especially at district level where there has been gaps.


Standardized monitoring and assessment of relief and Transition (SMART) methodology will be used to conduct the Survey. The survey will follow the standard procedure of planning, recruitment of survey teams, community mobilization, training, data collection and reporting. Emergency Nutrition Assessment (ENA) software2011 (Version Jul 9th 2015) Will be the main analysis software used from planning, enumerator evaluation, data entry, data analysis and standard report generation.

Sampling: Two stage Probability proportionate to size sampling will be employed in the survey. The first stage will be selection of cluster and the second will be selection of House Holds (HH).

Sample size: The sample size will be calculated using ENA (July 9 2015) at district level. Parameters to be used for the survey will be sourced from most recent surveys conducted at district level within the same locations, where these are not available livelihood estimations will be used as the second option.

Location and geographical administration: All Surveys will be conducted at district level and analysis will be expected at the same level of detail. In districts with limited access, accessible locations will be surveyed and this limitation will be clearly indicated in the reporting.

Analysis: Anthropometric and Mortality data will be analyzed using ENA software and categorized based on World Health Organization (WHO) standards 2006. Exclusion of Z-Scorers from observed mean will be from -3 to +3 for (Weight for height) WHZ, (Height for Age) HAZ and (Weight for Age) WAZ.


The Consultant will oversee the SMART survey and produce plausible data on; Anthropometry, Mortality, Health, select Food Security and WASH. Additional HH demographic data will collected.

3.1 Primary objectives

Estimate the prevalence of acute malnutrition in children aged 6-59

Estimate mortality rates both CMR and U5MR

To determine the coverage of measles vaccination among children aged 9-59 months

To determine the coverage of vitamin A supplementation received during the last 6 months among children aged 6-59 months

To determine deworming coverage of children 6-59 months in the last 6 months.

To assess the two-week retrospective period prevalence of morbidity among children aged 6- 59 months

To assess household dietary diversity, CSI, FCS and HHS.

To determine the population’s access to, and use of, improved water, sanitation and hygiene facilities

Develop actionable recommendations to address any factors of significance realized by the survey.

3.2 Secondary objectives:

Estimate uptake of OTP and SFP treatment program.

Estimate key IYCF (Proxy) Indicators of EBF, Early initiation, timely introduction to complementary feeding, BF up to 1 and 2 Years, minimum DD, minimum meal frequency and minimum acceptable died.


Develop Protocol for the Survey, present the document to the AIM WG for validation.

With the help of the local SCI office- Advertise and recruit all enumerators required for the survey.

Develop training plan for the SMART survey and conduct a full enumerator training for all survey participants.

Conduct standardization test for all enumerators and keep record of the results, ensuring the results are available to the survey coordinator before commencement of the survey.

Manage pilot test in specific selected clusters, analyze the data and give feedback before starting data collection, this should also be shared with the survey coordinator

Lead in the collection of all data ensuring quality control measures are in place and that data meets the minimum plausible standard under ENA software. .

Reporting- development of the report to final status.


· Training and data collection proposal

Develop a proposal for the training and data collection including the budget for the whole exercise plus the consultancy fee.

· Training report/ Reflection report.

A report detailing the content of the training. Composition of the participants and key observations.

· Quality data set

Total Number of HH- Achieved (100% of the sample is expected)

Quality Plausibility check result- Acceptable data (Overall score)

Acceptable standardization data for enumerators (and dataset)

PPT presentation following the agreed Somalia cluster standard format.

· All cluster control forms

Scanned zipped and mailed.

· Final Report

Final SMART report, ENA validated datasets and raw data.


The consultant will be expected to maintain daily contact with the SCI nutrition team assigned to manage the Surveys. On daily basis, the consultant will analyze data collected and feedback given to the teams. The consultant will be expected to share the daily feedback details to the SCI survey Lead teams.

7. TIME FRAME The consultancy will last approximately 26 days per district including recruitment and travel. The 26 days includes travel. All data collection will be carried out concurrently with minimum difference between the three districts in terms of timing. All data will be collected through Kobo collect/ODK and uploaded on daily basis, all data is expected to be uploaded on the last day of survey.



Be a holder of university degree or equivalent, with specific competency in humanitarian emergencies.

Have a significant experience in conducting SMART surveys (Design and methodology, staff recruitment, training, supervision and data analysis) in volatile humanitarian contexts.

Familiarity with Nutrition data analysis packages specifically ENA for SMART, EPI/ENA.

Have a very good understanding of mobile platform data collection specifically Kobo/ODK and form authorship.

Have a good understanding of the region, experience within Somalia doing similar assignment is desirable.

Be fluent in English, have adult learning skills, exceptional data handling skills, Presentation skills and high organizational and communication skills.


Interested candidates, firms and companies should submit their application to . The applications should include a proposal, estimated budget for the entire work including consultancy fees per day and availability. All applications MUST be submitted by close of day 22nd February 2018 to be considered for the assignment.

Publish date: 2018-02-16 23:38:08
Premium Job: No
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