Table 2.

Impact estimates of treatment arms on maternal knowledge by study and treatment arm, Bangladesh, March 2012–May 2014

	Mother can identify one reason why Fe deficiency in children is a concern			Mother has heard of MMP
	Marginal effect	se	P	Marginal effect	se	P
North RCT
‘Cash’	0·039	0·029	0·12	0·114	0·046	0·02
‘Food’	0·013	0·029	0·67	0·035	0·045	0·45
‘Cash & Food’	0·062	0·028	0·04	0·056	0·045	0·22
‘Cash + BCC’	0·119	0·024	<0·01	0·290	0·036	<0·01
Pseudo R 2	0·019			0·051
South RCT
‘Cash’	0·003	0·025	0·89	0·007	0·041	0·87
‘Food’	0·034	0·023	0·16	−0·013	0·039	0·72
‘Cash & Food’	−0·002	0·028	0·94	−0·008	0·041	0·85
‘Food + BCC’	0·092	0·024	<0·01	0·222	0·044	<0·01
Pseudo R 2	0·001			0·028

MMP, multiple-micronutrient powders; RCT, randomized controlled trial; BCC, (high-quality nutrition) behaviour change communication.

Marginal effects of probit models reported. ANCOVA estimates at endline control for baseline levels of maternal knowledge regarding the consequences of Fe deficiency, as well as other baseline maternal characteristics (age and grade of formal schooling) and household characteristics (log value (in Taka) of production assets and consumer durables; household size; whether the household is female headed). Standard errors account for clustering at the village level.