Table 2.

Factors influencing catastrophic health expenditure in univariate logistic regression model

Variables	Zhejiang				Qinghai
	b	S.E.	OR	P-value	b	S.E.	OR	P-value
Household income per year	−0.0001	0.00001	1.000	< 0.000	−0.0002	0.00002	1.000	< 0.000
Household size	−0.263	0.097	0.768	0.007	0.132	0.063	1.141	0.035
Poor/low-insured household	2.449	0.416	11.577	< 0.000	0.588	0.267	1.800	0.028
Rural residency of household head	0.764	0.242	2.147	0.002	0.818	0.181	2.266	< 0.000
Male household head	0.116	0.264	1.122	0.661	0.625	0.212	1.868	0.003
Minority nationalities of household head	0.957	0.660	2.604	0.147	1.115	0.194	3.049	< 0.000
Married household head	−0.575	0.270	0.563	0.034	0.050	0.218	1.051	0.819
Educational status of household head (reference: high/technical school or above)
Illiteracy	1.491	0.443	4.441	0.001	1.719	0.282	5.577	< 0.000
Primary school	1.210	0.319	3.353	< 0.000	1.169	0.269	3.218	< 0.000
Secondary school	0.664	0.336	1.942	0.048	0.405	0.272	1.500	0.136
Employment status of household head (reference: Unemployed)
Employed	−1.856	0.258	0.156	< 0.000	−0.415	0.215	0.661	0.054
Retired	−1.085	0.300	0.338	< 0.000	−0.066	0.267	0.936	0.803
Proportion of members with health insurance in household	0.021	0.015	1.022	0.146	0.00005	0.007	1.000	0.994
Number of members over 60 years in household	0.448	0.113	1.565	< 0.000	0.346	0.108	1.414	0.001
Number of members with chronic diseases in household in the last six months	0.907	0.141	2.476	< 0.000	0.749	0.127	2.115	< 0.000
Number of outpatients in household in the last two weeks of the survey	1.086	0.181	2.962	< 0.000	1.016	0.191	2.763	< 0.000
Number of inpatients in household in the last one year of the survey	2.150	0.230	8.588	< 0.000	1.654	0.195	5.227	< 0.000

SE standard error; OR odds ratio

Household size: number of permanent residents in household; Poor/low-insured household: poor or low-insured household identified by the local government; Married: married status in the marriage law