A model for predicting utilization of mHealth interventions in low-resource settings: case of maternal and newborn care in Kenya

Table 6 Comparison of sample means using Bonferroni post-hoc test

Predictor Variable	Pretest		Post-test1		Post-test2		Mean differences (p-value)
Predictor Variable	x̄ =μ	SE	x̄=μ	SE	x̄=μ	SE	T₀ - T₁	T₁-T₂	T₀ –T₂
Attitude	1.56	0.06	1.39	0.06	1.54	0.06	0.11	0.17	0.99
Efficacy	1.55	0.07	1.35	0.06	1.55	0.06	0.10	0.04	1.00
Sensory	2.23	0.12	1.98	0.12	2.11	0.08	0.05	0.21	0.39
Relation	1.81	0.09	1.53	0.06	1.66	0.06	0.11	0.17	0.99
ID. & Privacy	1.89	0.09	1.51	0.07	1.58	0.06	0.01	0.86	0.01
Synchronism	1.84	0.10	1.43	0.07	1.61	0.06	0.00	0.09	0.09
Representation	1.63	0.07	1.47	0.06	1.52	0.05	0.11	0.83	0.48
Reach	1.74	0.07	1.59	0.08	1.65	0.06	0.47	0.93	0.64
Monitor	1.66	0.08	2.00	0.00	1.60	0.06	0.00	0.00	0.92
Fit	1.77	0.09	1.36	0.06	1.54	0.06	0.00	0.06	0.06
mHealth Use	1.69	0.08	1.43	0.07	1.51	0.06	0.02	0.74	0.18