Table 5.

Regression analysis of total non-medical cost and patient characteristics ^a

Variable		Total non-medical cost			Transportation plus accommodation cost			Additional nutrition cost
		Parameter	SE	P value	Parameter	SE	P value	Parameter	SE	P value
Location
Hanzhong		8.00	1.86	<.0001	−1.98	1.19	0.0970	13.31	2.02	<.0001
Yichang	Ref
Zhenjiang		4.45	1.86	0.0167	−6.42	1.19	<.0001	10.87	2.02	<.0001
Sex	Ref: male	2.66	1.73	0.1241	0.40	1.11	0.7203	2.31	1.89	0.2209
age	Ref: aged <65	−6.12	1.70	0.0003	−2.38	1.08	0.0285	−5.24	1.84	0.0046
Residence type	Ref: rural	10.18	2.82	0.0003	−0.62	1.83	0.7356	11.35	3.05	0.0002
Inpatient care	Ref: without	14.86	1.50	<.0001	18.53	0.96	<.0001	4.00	1.62	0.0140
Health insurance	Ref: covered	7.12	5.91	0.2290	6.88	3.84	0.0737	1.86	6.22	0.7657
Education
Never attended school	Ref
Primary school		6.22	2.15	0.0040	0.31	1.37	0.8197	6.47	2.33	0.0057
Junior high school		7.32	2.24	0.0011	1.36	1.43	0.3432	6.49	2.44	0.0079
High school or higher		9.19	2.90	0.0016	0.27	1.84	0.8815	9.25	3.15	0.0034
Family income	Ref: lower half	4.12	1.57	0.0090	0.45	1.00	0.6517	6.16	1.70	0.0003
Category	Ref: new patients	1.61	1.87	0.3891	−1.54	1.19	0.1983	2.69	2.02	0.1838

^a Following variables were enrolled in the regression medel: residence location (the three study cities), gender, age (<65 years or > =65 years), residence type (urban or rural), inpatient care (with or without), health insurance (covered or uncovered), education level (never attended school, primary school, Junior high school, high school or higher), family income (as a proportion of the median in each city), and patient category (new or relapse patient)