Effect of tailored information of vaccination schedule on vaccine uptake in northern Nigeria

Figures & data

Table 1. Baseline characteristics and balance

	Mean
	Control (n = 317)	Treatment (n = 198)	Difference
Caregivers’ age (% women)
21–25	0.29	0.29	−0.00
26–30	0.26	0.23	−0.03
31–35	0.13	0.12	−0.01
over 35	0.06	0.08	0.01
Education level (% women)
Primary	0.21	0.26	0.05
Secondary and more	0.36	0.32	−0.04
Number of household member	6.74	7.04	0.30
Caregiver has paid job (% women)	0.44	0.40	−0.03
Children’s age (in months)	4.52	4.50	−0.02
Children’s vaccination (% children)
All vaccines completed at birth	0.73	0.67	−0.06
All vaccines completed at 6 weeks	0.56	0.54	−0.02
All vaccines completed at 10 weeks	0.46	0.38	−0.08*
All vaccines completed at 14 weeks	0.35	0.30	−0.05
All vaccines completed at 9 months	0.02	0.01	−0.00

* significant at 10%

Table 2. Effect of treatment on clinic visit for vaccination: OLS

Sample:	All	Among those who visited the clinic
	# times to visit	Days before visiting clinic
Dependent variable:	(1)	(2)
Treatment	0.177*	−3.711
	[−0.024,0.377]	[−18.993,11.571]
Age in months	−0.030**	0.652
	[−0.053,-0.007]	[−0.946,2.250]
N	513	177
r2	0.044	0.056

The result is based on the OLS regression with village fixed effect. Column 1 presents the effect of tailored information (Treatment) on the number of times women visited the health clinic for their children’s vaccination among all the respondents. Column 2 presents the effect of tailored information (Treatment) on the number of days it took from the intervention to the actual health clinic visits among respondents who visited the clinic. Children’s age is controlled for. * significant at 10%, ** significant at 5%, *** significant at 1%.

Table 3. Effect of treatment on vaccine uptake: odds ratio [95% confidence interval]

		Vaccine completed
	Visited health center for vaccination at least once	for 0 month	for 6 weeks	for 10 weeks	for 14 weeks	for 9 months	Full
	(1)	(2)	(3)	(4)	(5)	(6)	(7)
Treatment	1.470**	0.715	1.045	0.951	0.949	1.090	0.951
	[1.010,2.139]	[0.465,1.099]	[0.700,1.560]	[0.651,1.390]	[0.651,1.384]	[0.720,1.649]	[0.598,1.512]
Age in months	0.967	1.082**	1.199***	1.178***	1.118***	1.044*	1.079***
	[0.919,1.018]	[1.007,1.162]	[1.112,1.292]	[1.099,1.263]	[1.050,1.191]	[0.999,1.091]	[1.026,1.136]
N	513	513	513	513	513	513	513

The result is based on the logistic regression with village fixed effect. * significant at 10%, ** significant at 5%, *** significant at 1%.