[SMARTKeymaster]

The method recommended by SMART to measure mortality addresses the issue of migration or population movement. In an emergency, it is likely that more people will both leave and join households. With equal in- and out- migration, the SMART, the CHH, and the PHH methods should all give the same results. With excess in-migration, then CHH underestimates and PHH overestimates mortality rates. SMART takes additional time during a census (to determine people leaving and entering the household) but is more accurate and gives data for in- and out-migration rates. 

[SMARTKeymaster]

Yes, you can enter the additional nutritional data into ENA for SMART by adding variables to the Data Entry Anthropometry screens (Data View). If you add a variable to your database, make sure to add the acceptable ranges in the Variable View screen; this will ensure that extreme values (such as data entry errors or outliers) will be detected by turning purple. Also make sure to add the label and values of the new variable in the Variable View screen; this will ensure that your data dictionary is up-to-date.

Please click here to download the manual for ENA software.

• This reply was modified 11 years, 5 months ago by  SMART.

[SMARTKeymaster]

Hi Donald,

There has not been an established minimum number of households per cluster. In general, the number of households per cluster is determined by the number of households a team can complete in one day.

The most important factors to consider are to include a minimum of 25 clusters (preferably more) that will include the determined sample size (households and children).

[SMARTKeymaster]

Hi Frank,

In the context of an emergency, an anthropometric survey only includes the basic measurements (including age, weight, length/height, gender, oedema) needed to calculate nutritional indices which are then used to derive estimates of malnutrition prevalence. MUAC is also often measured during anthropometric surveys. The target population is most often children 6-59 months of age.

In contrast, a nutritional survey includes additional data used to assess the nutritional and health status of the target population. Examples of such data may include hemoglobin concentration, vitamin A supplementation coverage, measles vaccination coverage, diarrheal diseases, and infant and young child feeding practices, among others.

[SMARTKeymaster]

Hi Blessing,

Please contact the Nutrition Information Working Group (NIWG) in Juba for more information about any trainings that may take place in South Sudan.

[SMARTKeymaster]

Currently there are no more planned SMART Survey Manager trainings through the end of 2014. Please sign up for the SMART Newsletter (at the bottom of the website) and keep checking back on the SMART Calendar page for more information about upcoming trainings and other SMART events.

[SMARTKeymaster]

Yes, it is possible. The data must first be transferred from the statistical program that has been used into an Excel file. The second step is to match the column order as seen in ENA for SMART. Lastly, the data is copied from Excel and pasted into ENA for SMART for it to be analyzed.

[SMARTKeymaster]

It is currently not possible to add additional lines. The only solution is to continue the individuals from the large household onto a separate line with a different household number

[SMARTKeymaster]

WHO flags are based on a reference population. For weight for height, the range is -5 to +5 standard deviations. If a child is found to be outside of this range the weight for height data is not included in the analysis. When weight for height data is entered into the Data Entry Anthropometry tab in ENA for SMART it will automatically appear purple if the z-score is beyond 5 to +5, indicating that a measurement or data entry error has likely occurred.

SMART flags are based on the observed population (the specific survey population as opposed to a reference population). The range is -3 to +3 standard deviations. Since SMART flags are based on the observed population they do not appear highlighted on the data entry screen in ENA. Instead, the SMART flags can be found listed as part of the plausibility report if SMART flags are selected in the ENA for SMART Options tab.

[SMARTKeymaster]

Age should always by the primary inclusion criteria for children 6-59 months. If a reputable document is not available it is recommended to use an events calendar to determine a child’s age. An event calendar can be a very effective tool to determine a child’s age, especially for young children.

If the age of a child cannot be determined, the inclusion criteria is all children that are 67-110 cm.

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