Table 6. Logistic regression estimates representing the influence of SES on the before discharging postnatal care.

	Model 1		Model 2		Model 3
Variables	OR [95% CI] (n = 3,515)	P- value	OR [95% CI] (n = 3,515)	P- value	OR [95% CI] (n = 3,515)	P-value
Intercept	1.08[0.59,1.96]	0.803	0.93[0.50,1.75]	0.825	0.85[0.45,1.62]	0.627
Residence	0.40[0.32,0.49]	0.000	0.60[0.39,0.93]	0.021	0.66[0.42,1.03]	0.067
Head of household’s sex	1.04[0.85,1.28]	0.680	1.03[0.86,1.27]	0.739	1.03[0.84,1.26]	0.763
Age	1.02[1.01,1.04]	0.010	1.02[1.01,1.04]	0.010	1.02[1.00,1.04]	0.009
Informal employed	0.94[0.67,1.32]	0.730	0.94[0.67,1.32]	0.721	0.95[0.68,1.33]	0.773
Not employed	0.85[0.58,1.26]	0.427	0.85[0.57,1.25]	0.404	0.84[0.57,1.24]	0.384
Formal employed
Number of children	0.53[0.41,0.68]	0.000	0.53[0.41,0.69]	0.000	0.53[0.41,0.69]	0.000
No education	0.53[0.37,0.76]	0.001	0.65[0.34,1.26]	0.202	0.60[0.32,1.13]	0.113
Primary school	0.72[0.56,0.93]	0.011	0.89[0.66,1.19]	0.428	0.84[0.63,1.11]	0.223
Secondary school +
Poor women	0.62[0.50,0.78]	0.000	0.62[0.49,0.78]	0.000	0.71[0.49,1.03]	0.072
Middle wealth women	0.63[0.50,0.79]	0.000	0.63[0.50,0.80]	0.000	0.80[0.57,1.12]	0.190
Rich women
Rural*no education			0.61[0.27,1.35]	0.219	0.70[0.32,1.52]	0.363
Rural*primary school			0.60[0.38,0.95]	0.030	0.66[0.41,1.06]	0.088
Rural*secondary school+
Rural*poor women					0.81[0.51,1.28]	0.361
Rural*middle wealth					0.65[0.40,1.06]	0.084
Rural*rich women