BMC Health Services Research

Table 3 Regression analysis of factors associated with self-reported emergent illness episodes using ZINB model

From: Inequity in healthcare needs, health service use and financial burden of medical expenditures in China: results from a consecutive household monitoring study in Jiangsu Province

	Process 1		Process 2
	OR	95% CI	IRR	95% CI
Age
< 30	ref.		ref.
30–59	0.24	0.03, 1.81	0.76	0.30, 1.88
> =60	0.41	0.05, 2.84	0.73	0.30, 1.78
Male	0.88	0.31, 2.50	0.91	0.68, 1.24
Rural residence	0.02	0.00, 0.26	0.73	0.41, 1.29
Married	0.76	0.28, 2.02	0.93	0.65, 1.32
Education Level
no education	ref.		ref.
primary and junior high	1.36	0.18, 9.78	0.86	0.64, 1.16
senior high school and above	0.76	0.07, 7.22	0.6	0.36, 1.01
Employed	1.17	0.36, 3.77	1.07	0.79, 1.43
Insurance
UEBMI	ref.		ref.
NRCMS/URBMI	1.75	0.66, 4.65	1.67	1.03, 2.71
Income level
poorest 33.3%	ref.		ref.
middle 33.3%	0.92	0.19, 4.29	0.94	0.67, 1.32
richest 33.3%	0.75	0.19, 2.86	0.85	0.58, 1.23
With NCD	0.33	0.11, 0.91	1.39	1.02, 1.89

(OR odds ratio, IRR incident rate ratio. Process 1 modeled the likelihood of not being at risk of reporting self-reported illness, process 2 modeled the total number of self-reported emergent illness episodes given that one is at risk. The sample size is the same as described in Table 2. All estimates were adjusted.)

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