China’s new cooperative medical scheme and equity in access to health care: evidence from a longitudinal household survey

Yang, Wei

doi:10.1186/1475-9276-12-20

International Journal for Equity in Health

Table 2 Descriptive statistics for the study population (mean/standard deviation)

From: China’s new cooperative medical scheme and equity in access to health care: evidence from a longitudinal household survey

		2004(N = 4351)		2009(N = 3919)
Variable	Definition	Mean	S.D.	Mean	S.D.
*Health use variables*
Outpatient use	Dummy variable: 1, outpatient use; 0 otherwise	0.111	0.314	0.116	0.320
Folk doctor use	Dummy variable: 1, folk doctor use; 0 otherwise	0.033	0.179	0.050	0.218
Preventive care use	Dummy variable: 1, Preventive care use; 0 otherwise	0.030	0.170	0.035	0.184
*Health needs variables*
18-29	Dummy variable: 1, aged between 18–29; 0 otherwise.	0.122	0.328	0.098	0.297
30-44	Dummy variable: 1, aged between 30–44; 0 otherwise.	0.333	0.471	0.310	0.462
45-64	Dummy variable: 1, aged between 45–64; 0 otherwise.	0.447	0.497	0.469	0.499
65 and above	Dummy variable: 1, aged between 65 and above; 0 otherwise.	0.097	0.296	0.124	0.329
Gender	Dummy variable: 1, male; 0 female	0.499	0.500	0.506	0.500
No symptoms	Dummy variable: 1, no symtons; 0 otherwise	0.784	0.412	0.801	0.400
Minor Illness	Dummy variable: 1, minor illness; 0 otherwise	0.152	0.359	0.137	0.344
Major illness	Dummy variable: 1, major illness; 0 otherwise	0.064	0.245	0.062	0.242
4 week illness	Dummy variable: 1, having been illness for the past 4 weeks; 0 otherwise	0.153	0.360	0.148	0.355
*Socioeconomic variables*
Per capita income	Per capita household income inflated to 2009	4787.057	5004.990	9996.772	11817.190
No insurance	Dummy variable: 1, no insurance; 0 otherwise	0.888	0.315	0.067	0.250
NCMS	Dummy variable: 1, NCMS; 0 otherwise	0.041	0.197	0.875	0.331
Commercial insurance	Dummy variable: 1, commercial insurance; 0 otherwise	0.013	0.112	0.029	0.167
Other insurance	Dummy variable: 1, other insurance; 0 otherwise	0.059	0.235	0.030	0.170
Marital Status	Dummy variable: 1 married, 0 otherwise	0.874	0.332	0.883	0.321
White collar/skilled	Dummy variable: 1 white collar or skilled worker, 0 otherwise	0.065	0.246	0.072	0.258
Unskilled/farmer	Dummy variable: 1 unskilled worker or farmer, 0 otherwise	0.617	0.486	0.691	0.462
Other job	Dummy variable: 1 other jobs, 0 otherwise	0.021	0.143	0.029	0.169
Unemployed	Dummy variable: 1 Unemployed, 0 otherwise	0.225	0.418	0.207	0.405
No edu	Dummy variable: 1 no education; 0 otherwise	0.216	0.412	0.240	0.427
Pri and sec edu	Dummy variable: 1 primary and secondary education; 0 otherwise	0.628	0.483	0.604	0.489
High school	Dummy variable: 1 high school and technical school education; 0 otherwise	0.139	0.346	0.128	0.334
Uni and above	Dummy variable: 1 university education and above; 0 otherwise	0.017	0.129	0.028	0.164
Province Liaoning	Dummy variable: 1 Liaoning, 0 otherwise	0.123	0.329	0.119	0.323
Province Heilongjiang	Dummy variable: 1 Heilongjiang, 0 otherwise	0.099	0.299	0.110	0.312
Province Jiangsu	Dummy variable: 1 Jiangsu, 0 otherwise	0.126	0.332	0.121	0.326
Province Shandong	Dummy variable: 1 Shandong, 0 otherwise	0.108	0.310	0.111	0.315
Province Henan	Dummy variable: 1 Henan, 0 otherwise	0.099	0.298	0.100	0.300
Province Hubei	Dummy variable: 1 Hubei, 0 otherwise	0.103	0.304	0.107	0.310
Province Hunan	Dummy variable: 1 Hunan, 0 otherwise	0.085	0.279	0.090	0.286
Province Guangxi	Dummy variable: 1 Guangxi, 0 otherwise	0.124	0.330	0.133	0.339
Province Guizhou	Dummy variable: 1 Guizhou, 0 otherwise	0.132	0.339	0.110	0.312

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ISSN: 1475-9276

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