pregnantLactatingWomenA

 
Node 1. It will be important to collect identifying data from pregnant and lactating women (PLW) respondents to uniquely identify their data from the data of other PLWs. Identifying data includes location data (i.e., locality name, sub-locality name, village name), GPS coordinates (this would be ideal; if ODK is used, tablets would have GPS capability so recording of GPS coordinates is done and recorded using the tablets; if EpiData is used, we will consider using GPS locators to record village locations) and a PLW ID number.

Node 2. The following nutrition and nutrition co-variates will be collected from the PLW:

  1. Age
  2. MUAC
  3. Pregnancy status
  4. Breastfeeding practices
  5. Women’s dietary diversity (WDD), specifically:
    • Dietary diversity score
    • Consumption of iron-rich foods
    • Consumption of any vitamin A-rich foods
  6. Water, Sanitation and Hygiene (WASH), specifically:
    • Improved source of drinking water – to be assessed only at baseline and last step
    • Improved sanitation facility – to be assessed only at baseline and last step
    • Adequate water treatment – to be assessed at each step of the study
    • Safe disposal of child’s faeces – to be assessed at each step of the study
    • Appropriate hand washing practices – to be assessed at each step of the study
  7. Multidimensional Poverty Assessment (MPI) – to be assessed only at baseline and last step

Node 3. For PLW who are assessed to be at-risk of MAM by MUAC, the FBPM coverage protocol for PLW should be applied.

Node 4. For all PLW, the SBCC coverage protocol should be applied.

Node 5. For PLW who are assess to be MAM by MUAC, the TSFP coverage protocol for PLW should be applied.