Table 3.

Bivariate and multiple logged linear regression models (N=1472)

Variables	Unadjusted model		Adjusted model
	Coefficient (95% CI)	P value	Coefficient (95% CI)	P value
Length of stay	0.15 (0.01 to 0.13)	<0.001	0.13 (0.11 to 0.15)	<0.001
Patient age in months	−0.01 (−0.02 to −0.01)	<0.001	−0.1 (−0.01 to −0.01)	<0.01
Mother’s education
No formal education (ref)
Up to primary	−0.21 (−0.3 to −0.1)	<0.001	−0.01 (−0.09 to 0.07)	0.83
Secondary	−0.11 (−0.23 to 0.00)	0.05	0.04 (−0.03 to 0.12)	0.27
Higher	0.1 (−0.05 to 0.24)	0.19	0.09 (−0.01 to 0.19)	0.08
Father’s education
No formal education (ref)
Up to primary	−0.19 (−0.3 to −0.09)	<0.001	−0.04 (−0.1 to 0.03)	0.3
Secondary	−0.09 (−0.19 to 0.02)	0.1	−0.03 (−0.1 to 0.04)	0.41
Higher	0.12 (0.0 to 0.24)	0.05	−0.01 (−0.09 to 0.07)	0.82
Wealth quintile
Poorest (ref)
Poorer	0.13 (0.04 to 0.23)	0.01	0.02 (−0.05 to 0.09)	0.61
Middle	0.32 (0.22 to 0.42)	<0.001	0.09 (0.01 to 0.17)	0.02
Richer	0.52 (0.43 to 0.62)	<0.001	0.14 (0.05 to 0.23)	<0.001
Richest	0.73 (0.64 to 0.82)	<0.001	0.24 (0.014 to 0.34)	<0.001
Place of residence
Urban	0.61 (0.55 to 0.66)	<0.001	–	–
Rural (ref)
Father’s occupation
Transport worker (ref)
Informal worker	0.27 (0.15 to 0.40)	<0.001	−0.09 (−0.18 to 0.00)	0.06
Farmer	0.32 (0.2 to 0.44)	<0.001	−0.11 (−0.2 to −0.02)	0.02
Salaried employee	0.43 (0.33 to 0.53)	<0.001	−0.06 (−0.14 to 0.02)	0.16
Business	0.43 (0.32 to 0.53)	<0.001	0.0 (−0.09 to 0.09)	0.98
Others	0.36 (0.21 to 0.50)	<0.001	−0.08 (−0.18 to 0.02)	0.12
Type of facility
Autonomous/specialised hospital	0.5 (0.44 to 0.56)	<0.001	0.14 (0.06 to 0.22)	<0.001
Private hospital	1.06 (0.97 to 0.14)	<0.001	0.68 (0.59 to 0.76)	<0.001
District hospital	0.08 (−0.01 to 0.17)	0.07	0.17 (0.11 to 0.24)	<0.001
Upazila health complex (ref)
Constant	–	–	3.93 (3.78 to 4.08)	<0.001
N	1472
Probability > F	<0.001
R-squared	0.63
Root MSE	0.37
Mean VIF	2.67

MSE, mean square error; ref, reference; VIF, variance inflation factor.