A comparative study of catastrophic health expenditure in Zhejiang and Qinghai province, China

Table 3 Factors influencing catastrophic health expenditure in multivariate logistic regression model

Variables	Zhejiang				Qinghai
Variables	b	S.E.	OR	P-value	b	S.E.	OR	P-value
Household income per year	−0.0001	0.00002	1.000	< 0.000	−0.0002	0.00002	1.000	< 0.000
Poor/low-insured household	1.797	.507	6.029	< 0.000
Minority household head					0.724	0.233	2.063	0.002
Employment status of household head (reference: unemployed)
Employed	−0.710	0.313	0.492	0.023	−0.652	0.257	0.521	0.011
Retired	−0.149	0.394	0.861	0.704	−0.180	0.325	0.835	0.580
Number of members with chronic diseases in household in the last six months	0.528	0.182	1.695	0.004	0.452	0.161	1.572	0.005
Number of outpatients in household in the last two weeks of the survey					0.505	0.231	1.657	0.029
Number of inpatients in household in the last one year of the survey	1.752	0.232	5.764	< 0.000	0.859	0.186	2.361	< 0.000
(Constant)	−1.007	0.282	0.365	< 0.000	−0.133	0.276	0.876	0.631
Model	< 0.000				< 0.000
−2 log likelihood	409.504				550.674
Nagelkerke R²	0.415				0.384
Cox & Snell R²	0.200				0.272

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

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