Utilization of delivery care among rural women in china: does the health insurance make a difference? a cross-sectional study

Table 2 Use of delivery services in the NCMS and Non-NCMS groups (number (%))

	NCMS (n = 747)	Non-NCMS (n = 827)	Total
Place of delivery^#
Township level hospital	183(24.5)	201 (24.3)	384(24.4)
County level or above hospital	564 (75.5)	626(75.7)	1190(75.6)
p-value*	0.176
Mode of delivery^#
Vaginal delivery	563(75.5)	639(77.3)	1202(76.4)
Caesarean section	183 (24.5)	188 (22.7)	371(23.6)
p-value*	0.053
Days of hospitalization^#
0	31 (4.4)	26 (3.6)	57(4.0)
1-3	199 (28.2)	244 (33.5)	443(30.9)
4-6	211 (29.9)	197 (27.0)	408(28.4)
7-9	191 (27.1)	178 (24.4)	369(25.7)
10⁺	73 (10.4)	84 (11.5)	157(10.9)
p-value*	0.255

* p-value was calculated from logistic regression model controlling for women's age, parity, education level, her household income, distance to health facility and county for the dependent variables "Place of delivery" and "Mode of delivery"; and calculated from ordinal regression model controlling for women's age, parity, education level, her household income, distance to health facility, county, place of delivery and mode of delivery for the dependent variable "Days of hospitalization".
^#There were three independents, women's age, parity and household income, entering the model for the dependent variable "Place of delivery"; three independents, women's age, parity and county, entering the model for the dependent variable "Place of delivery"; and four independents, parity, county, place of delivery and mode of delivery entering the model for the dependent variable "Days of hospitalization".

ISSN: 1471-2458