Prospective study of determinants and costs of home births in Mumbai slums

Table 3 Univariable and multivariable random effects logistic regression models

	Univariable analysis n = 10 754			Multivariable analysis n = 10 721
	OR	95% CI	p	OR	95% CI	p
Demographic
Unable to read	2.66	2.37-2.98	< 0.001	1.55	1.34-1.78	< 0.001
Educational level	0.98	0.98-0.99	< 0.001
Nuclear family	1.54	1.37-1.73	< 0.001	1.01	0.86-1.18	0.907
Maternal age	1.03	1.02-1.04	< 0.001	0.97	0.95-0.99	0.001
Parity	1.55	1.44-1.66	< 0.001	1.56	1.40-1.74	< 0.001
Infant sex	0.99	0.89-1.11	0.887
Duration of residence	1.00	1.00-1.00	< 0.001
Muslim	1.14	0.98-1.32	0.08
Socioeconomic
Home ownership	0.55	0.50-0.62	< 0.001	0.93	0.77-1.12	0.457
Ration card	0.50	0.44-0.56	< 0.001	0.93	0.78-1.12	0.466
Socioeconomic quintile	0.66	0.63-0.70	< 0.001	0.84	0.79-0.89	< 0.001
Environmental
Temporary house (kaccha)	1.74	1.52-1.99	< 0.001	1.27	1.07-1.50	0.005
Informal water supply	1.38	1.19-1.60	< 0.001	1.20	0.96-1.37	0.043
Informal electricity supply	1.76	1.54-2.00	< 0.001	1.15	0.96-1.37	0.124
Annual migration > 25%	2.55	1.51-4.31	< 0.001	1.61	1.09-2.36	0.016
Residence near dump, marsh, creek	2.59	1.25-5.38	0.011	1.71	1.03-2.85	0.039
Residence by railway line	0.58	0.24-1.40	0.222
Healthcare
Registration for delivery	0.03	0.02-0.03	< 0.001	0.057	0.05-0.07	< 0.001
< 3 antenatal visits	11.93	10.40-13.68	< 0.001	2.73	2.27-3.27	< 0.001

Random effects logistic regression models with home delivery as the dependent variable, for
10 754 deliveries in 48 Mumbai slums, 2005-2007.
OR: odds ratio; CI: confidence interval.

ISSN: 1471-2393