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TERMS OF REFERENCE: OFDA SMART SURVEY CONSULTANCY WORK IN DIINSOOR DISTRICT, SOMALIA

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  • Post date:12 Sep 2020
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Job Description

TERMS OF REFERENCE: OFDA SMART SURVEY   consultancy work in Dinsoor district, Somalia.

type of service

smart survey

location

Dinsoor Districts.

send documents to

css.logistics@savethechildren.org

deadline

25th  september-020

  • BACKGROUND

Save the Children has worked in Somalia since 1951 when we set up a vocational school for orphaned boys in Somaliland. From the early 1970s we have provided emergency assistance when the needs demand. 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.

We believe that the provision of basic social services in education, health, nutrition and protection and the strengthening of government capacity to deliver these, along with a concerted effort to work with communities and children to promote their rights, are all central to what we call resilience.

Save the children will be using external consultant who will lead the overall SMART survey assessments in addition Save the children SMART Survey managers will work with, conduct SMART survey Adado and Abudwaq districts to assess the prevalence of GAM rate and other indicators contributing to nutrition situation of the two districts with the aim of generating quality information for humanitarian actors. 

Currently save the children is implementing OFDA funded multi-sectoral humanitarian programme in Dinsoor direction through GREDO. The SMART survey will be conducted with the aim of filling nutrition information gaps at district level.

With the current “climate crisis” in Somalia, humanitarian situation needs constant updates and specifically to ascertain key indicators that can aid in ensuring appropriate response.

  • METHODOLOGY

The survey was developed using the SMART methodology. ENA software 2020 (January 2020) is used to run all possible analysis expected within a standard SMART survey that includes analysis for standardization test, calculation of samples, selection of clusters and final calculation of wasting both for WHZ score and MUAC.

Sampling: 2 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 HH.

Sample size: The sample size will be calculated using ENA January 2020 at district level. Parameters to be used for the survey will be sourced from

Location: The survey will be conducted at district level and depending on access all possible settlements will be included in the sampling frame.

Analysis: Analysis of the anthropometric findings will be analyzed and categorized based on WHO standards 2006. 

  • OBJECTIVES

Estimate Nutrition status of children <5, retrospective Mortality rate (CMR and U5MR) and factors influencing nutrition status of children in Adado and Abudwaq district. 

3.1 Primary objectives

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

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

Estimate mortality rates both CMR and U5MR

To assess household dietary diversity

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

To establish recommendations on actions to be taken to address the situation.

3.2 Selected clusters: Diinsor district

Geographical unit

Population size

Cluster

Geographical unit

Population size

Cluster

Gasareeb

392

1

2buulaxaanshi

700

2,3

Saandole

410

Jabal awees

388

4

Bulofarey

400

5

Sufibarako

412

6

Mustaqbal

1038

7,RC

Horyal

1012

8,9

Buulamareer

611

10

Kor kaamari

913

11,12

Kulmiye

987

13,14

Afgooye

1235

15,16

Sheikh mudey

978

17,18

Buulo Tuni

500

19

Buulo Fuur

400

20

Xaranka

200

21

October

2700

22,23,24,25,26

Warcadey

600

27

Fatxuraxman

300

28

Buula cadey

400

RC

Mooro masaakin

400

Abdulle Hassan

2000

29,30,31,32

Jameeco

500

33

Wadajir

700

34,35

Ahmed Gurey

3200

36,37,38,39,40,41

Raamadhawi

1200

42,RC,43

Leemlebowle

500

44

Buulo xaanshi

450

Sheeb cabdi shiimoy

200

45

Misra yarey

700

RC

Buur-riib

600

RC

3.3 Household Selection Strategy

  • Definition of household for the survey

A household will be defined as number of people living together and sharing a common cooking pot. Polygamous families will be defined based on the same, if each wife has her own pot, even if living in the same compound, this will be treated as different households.

  • Household selection techniques (e.g. segmentation, simple or systematic random sampling, modified EPI)

Selection of households will be done in every sampled cluster. The survey teams will obtain an updated list of households per cluster with the aid of a village elder/guide and select the households accordingly through simple random sampling.

If the clusters correspond to a large population, it will be subdivided into segments of roughly the same number of people. Each segment will be numbered and one of these segments will be chosen with a based on the proportion to their size if they are in equally segmented or simple random sampling using random number table. In the selected cluster the households can then be listed using the enumeration method, and the required households will be selected from the list by using random number table. This pointed number will be the first hou

  • DELIVERABLES

Data collection of the assigned clusters in Dinsoor 

  • Supervision role:

During the SMART survey process, Save the children will develop the SMART survey protocol and present to the AIM working group for approval before field work commences. Save the children will also seek ethical approval from respective line ministries both at federal and south west state.

The consultant is expected to oversee the overall data collection and cleaning from starting from enumerators training quality assurance and generating preliminary report.

The consultant is expected to report the data quality report and on daily basis on secondly data of data collection.

The SMART survey consultant will lead the technical analysis of data, final report writing, presenting the findings to Save the children technical team (MEAL and Nutrition) and to AIM working group report validation.

  • QUALIFICATIONS AND EXPERIENCE REQUIRED from the external consultant.
  • Be a holder of university master’s degree in epidemiology, public, or equivalent, with a specific competency in nutrition in humanitarian setting.
  • Previous experiences of nutrition assessments
  • Previous SMART survey delivery (training, data collection, data cleaning, and reporting)
  • Certified SMART methodology
  • Be fluent in English, have adult learning skills, Presentation skills and high organizational skills. Prove of ability to contextualize the training will be an added advantage.

EXPRESSION OF INTEREST

The minimum required documents;

  • Technical proposal clearly capturing the approach and methodology
  • Financial proposal
  • Past similar experience – please attach previous stamped contract
  • Relevant CVS of the lead consultants
  • Firm/ individual profile

Interested applicants should submit the minimum required documents with email; CSS.LOGISTICS@savethechildren.org with the subject line of the email body, “Smart Survey Dinsor”

Applications will close by 10:00AM on 25TH September-020

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