Does the medical insurance system play a real role in reducing catastrophic economic burden in elderly patients with cardiovascular disease in China? Implication for accurately targeting vulnerable characteristics

Table 5 Results of treatment-effect model for patients with CVD

	Coef.	Std. Err.	z	P > \|z\|	95% C.I.
CHE
Marital status of household head	0.0129	0.0233	0.53	0.599	−0.0335	0.0581
Region	−0.0209	0.0116	−1.79	0.073	−0.0438	0.0019
Gender of household head	0.0081	0.0174	−0.47	0.640	−0.0424	0..0261
Education level of household head	0.0016	0.0151	0.11	0.915	−0.0281	0.0313
Household consumption per capital quintile	−0.0069	0.0061	−1.12	0.262	−0.0190	0.0052
Family size	−0.0499	0.0138	−3.61	0.000	−0.0770	−0.0227
Urban and rural	−0.0379	0.0203	−1.86	0.063	−0.0779	0.0019
Health satisfaction	0.0246	0.0093	2.64	0.008	0.0063	0.0429
Having disabled members	0.0961	0.0473	2.03	0.042	0.0033	0. 1889
Having members over 65 years old	0.0129	0.0171	0.76	0.450	−0.0206	0.0465
Combined with other chronic diseases	0.0468	0.0088	5.32	0.000	0.0296	0.0641
Having hospitalized members	0.1001	0.0252	3.97	0.000	0.0506	0.1495
Having insurance	0.2895	0.1454	1.99	0.047	0.0044	0.5745
Having insurance
Community participation rate	0.0571	0.0056	10.08	0.000	0.0460	0.0682

Coef Coefficient, Std. Err standard error of the mean, 95% C.I Confidence Interval

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