Table 1 Social-economic characteristics of TB patients
From: Are free anti-tuberculosis drugs enough? An empirical study from three cities in China
|  | Compliant (n = 765) | Non-compliant (n = 32) | P value* |
|---|---|---|---|
Sex (female) | 193(25.23) | 10(31.25) | 0.444 |
Age | 56.07(15.02) | 60.09(9.72) | 0.031** |
Residence | Â | Â | Â |
 Rural | 704(92.03) | 32(100) | 0.225 |
 Urban | 59(7.71) | 0(0) | |
 Rural- Urban continuum | 2(0.26) | 0(1) | |
Education | Â | Â | Â |
 Primary school and lower | 398(52.03) | 27(84.38) | 0.002 |
 Secondary school or at the same level | 265(34.64) | 4(12.50) | |
 High school and higher | 102(13.33) | 0(0) | |
Employment | Â | Â | Â |
 Employment | 408(53.33) | 15(46.88) | 0.473 |
 Unemployment | 357(46.67) | 17(53.12) | |
Health insurance | Â | Â | Â |
 UEBMI | 53(6.93) | 0(0) | 0.287 |
 NCMS | 679(88.76) | 30(93.75) | |
 URBMI | 21(2.75) | 1(3.12) | |
 Household income |  |  |  |
 Low (lowest 25) | 184(24.31) | 16(51.61) | 0.003 |
 Middle (medium 50) | 372(49.14) | 10(32.26) | |
 High (top 25) | 201(26.55) | 5(16.13) | |
EcoBur | Â | Â | Â |
 Low | 80(10.47) | 0(0) | <0.001 |
 General | 289(37.83) | 1(3.12) | |
 High | 395(51.70) | 31(96.88) |