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Field
Randomization Method
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Before
Within each maternity ward, we keep individuals who completed the baseline survey and construct stratification variables based on the interaction of the following characteristics from baseline: (i) education level; (ii) number of months of pregnancy; (iii) whether the family has already accessed an ECS; (iv) their intention to use ECS at baseline. If some strata have less than 3 individuals, we group the variables iii and iv into iii’ “intend to use ECS and already has” or “intend to use ECS and has not already” or “do not intend to use one”. We then randomly assign T1, T2, and control within strata with an expected assignment probability of ⅓ in each arm. Therefore, our subsequent analysis will account for the multi-site block-randomization design. Data collection in each maternity ward takes approximately two weeks.
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After
Within each maternity ward, we keep individuals who completed the baseline survey and agreed to let their phone number, and then construct stratification variables based on the interaction of the following characteristics from baseline: (i) education level; (ii) the level of coverage in ECS around where the family lives; (iii) a variable with three levels regarding ECS previous use and intention to use it for the child to come a) “intend to use ECS and already has” or b) “intend to use ECS and has not already” or c)“do not intend to use one”. We then randomly assign T1, T2, and control within strata with an expected assignment probability of ⅓ in each arm. Therefore, our subsequent analysis will account for the multi-site block-randomization design. Data collection in each maternity ward takes approximately two weeks.
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