Standardized Expanded Nutrition Survey in Kigoma Refugee Camps (Nyarugusu, Nduta and Mtendeli) - October 2019
Tanzania, 2019
Get MicrodataIdentification
TZA_2019_SENS_v01_M
Standardized Expanded Nutrition Survey in Kigoma Refugee Camps (Nyarugusu, Nduta and Mtendeli) - October 2019
| Name | Country code |
|---|---|
| Tanzania | TZA |
Demographic and Health Survey [hh/dhs]
Sample survey data [ssd]
Individuals and households
Version
v2.1: Edited, anonymous dataset for licensed distribution.
2020-05-28
Scope
Children between 6-59 months: Demographic profiling, nutritional status, anthropometry, health, and anemia
Children between 0-23 months: Nutritional status, breastfeeding conditions
Women between 15-49 years: anthropometry, health, and anemia
Households: food security, WASH, mosquito net coverage, demographic profiling
| Topic |
|---|
| Health and Nutrition |
| Water Sanitation Hygiene |
| Domestic Needs/Household Support |
| Basic Needs |
Coverage
All refugee camps in Kigoma: Nyarugusu, Mtendeli, Nduta.
All household members, all women between 15-49 years resident in the household, all children under 5 resident in the household.
Producers and sponsors
| Name |
|---|
| United Nations High Commissioner for Refugees (UNHCR) |
| Name |
|---|
| WFP |
| UNICEF |
| TANZANIA RED CROSS SOCIETY |
| WORLD VISION |
| MEDECINS SANS FRONTIERES |
| MINISTRY OF HEALTH |
Sampling
In each camp, a cross-sectional household survey was conducted using a two-stage cluster sampling. Four independent samples were drawn separately for Nyarugusu New camp, Nyarugusu Old camp, Nduta camp and Mtendeli camp using the cluster sampling methodology.
Absent Household
If the household members were not present, the survey team had to ask from neighbor of the residents' whereabouts. If they were expected to return before the survey team leaves the village/cluster, the survey team had to return to administer the questionnaire on the same day where possible. This household had an ID, even if the survey team could not able to revisit them. The survey team continued with the survey by choosing the next household according to the selection method described above and this household was not replaced. A household was considered “absent” when its members slept there last night and went out for the whole day of the survey.
Refusal
If a participant or an entire household refused to participate then it was considered a refusal and the individual or the household was not replaced with another. The refusal was recorded in the data collection control sheet.
Households without children U5 and/or without women
In households with no children aged 0-59 months and/or women between 15 and 49 years, the survey team had to complete the Demography questionnaire and the Household questionnaire (Food security, mosquito net and WASH) if this household was selected for the Household questionnaire (administered in every other household). In the data collection control sheet, the team leader wrote the household's number and indicated that no children between the ages of 0 and 59 months and/or no women between the ages of 15 and 49 years belonged to the household.
Absent Children/Women
The team leader asked the reason of the children's/women's absence. If the child/woman (or children or women) is close to the home, someone should be sent to bring them back. If the child/woman was expected to return before the survey team leaves the village/cluster, then the survey team had to return before the end of the day to take the measurements. If the child/woman could not be found before the team leaves the village/cluster, the child/woman available information (age, sex, etc.) were recorded in the questionnaire and the child/woman was marked as “absent” in the data collection control sheet.
Disabled Children
Disabled children were included in the survey. If a physical deformity prevents the measurement of child's weight, height or MUAC, the data were recorded as missing and the remaining data were collected. This information was recorded in the data collection control sheet.
Children in a medical/nutrition centre
Children in a medical/nutrition centre were included in the survey. Where feasible, the team had to go to the centre. If it was not possible to visit the centre, the child was given an ID number and considered as absent and not replaced. If the child was too weak to be measured, the anthropometric data were recorded as missing and the remaining data were collected. This information was also recorded in the data collection control sheet.
Sample weights were calculated for each of the data files.
Sample weights for the household data were computed as the inverse of the probability of selection of the household, computed at the sampling domain level (urban/rural within each region). The household weights were adjusted for non-response at the domain level, and were then normalized by a constant factor so that the total weighted number of households equals the total unweighted number of households.
Survey instrument
The SENS modules include standardized questionnaires, analysis guidance, reporting format and standard
analysis procedures.
4 questionnaires were included in this version:
- Household demographics
- Household mosquito nets, food security and WASH
- Individuals, children under 5
- Individuals, women between 15-49
Data collection
| Start | End |
|---|---|
| 2019-09-17 | 2019-10-20 |
| Name |
|---|
| UNHCR |
Data were collected using mobile phones operated by the Android operating system (LG) and the ODK application. During supervision in the field and at the end of each day, the survey consultant and the supervisors manually check the phone questionnaires for completeness, consistency, and accuracy. This check also used to provide feedback to the teams to improve data collection as the surveys progressed. Children data were downloaded and analyzed on a daily basis with the ENA software (ENA for SMART 2011, July 9th, 2015). The SMART plausibility report was generated daily in order to identify any problems with anthropometric data collection such as flags and digit preference for age, height and weight, to improve the quality of the anthropometric data collected as the survey was on-going.
A quick check on Hemoglobin concentration among children and non-pregnant women was conducted during quality check. This was done by checking the disparities of number of subjects with low Hb level amongst the teams and feedback was provided for necessary correction among blood sample takers where applicable.
Data processing
All data files were reviewed before analysis. Anthropometric data for children 6-59 months were analyzed using ENA for SMART software. The nutritional indices were cleaned using flexible criterion (+/- 3 SD from the observed mean; also known as SMART flags in the ENA for SMART software).
The nutrition results were presented in the standard format following the report template from the ENA software (ENA for SMART 2011, July 9th, 2015). This format includes GAM, SAM, Stunting, Underweight and Overweight with 95% confidence intervals. The report has estimates of malnutrition calculated with the WHO 2006 growth references.
All other data were analyzed in Epi-Info 7. Primary data and secondary information related to health and nutrition were also gathered through interviews, observations, and various records. In the secondary data review, the UNHCR Health Information System (HIS) data, UNHCR and partners weekly and monthly reports and past nutritional survey reports were used for the final analysis.
Data was anonymized through decoding and local suppression.
Access policy
United Nations Refugee Agency Microdata Library
https://microdata.unhcr.org/index.php/catalog/235
Original Archive Study ID: UNHCR_TZA_2019_SENS_KIGOMA_v2.1
Cost: None
Data Access
| Name | Affiliation | |
|---|---|---|
| Curation Team | UNHCR | microdata@unhcr.org |
UNHCR (2019) Standardized Expanded Nutrition Survey in Kigoma Refugee Camps (Nyarugusu, Nduta and Mtendeli). UNHCR's Microdata Library: https://microdata.unhcr.org
Metadata production
DDI_TZA_2019_SENS_v01_M
| Name |
|---|
| UNHCR |
2021-05-12
Metadata version
Version 1 (May 2021). This version is identical to UNHCR DDI ID: DDI-UNHCR_TZA_2019_SENS_Kigoma-v1.1, except the following edits were made:
- Minor spelling, grammatical, and formatting corrections
- Specified the archive where study is originally stored
- Minor alterations to study title to fit World Bank formatting practices, change reflected in citation
- Description of external documents altered to reflect the document titles