Skip to main content
. 2010 Jun 17;10:170. doi: 10.1186/1472-6963-10-170

Table 1.

Characteristics of sample population (age ≥15) in two project areas

Variables towns (%) H8 towns (%) H8 towns (%) P
N = 625 N = 869
Predisposing factors
 Age 15-39.9 177 ( 28 ) 329 (38) P < 0.001
  40-59.9 188 (30) 273 (31)
  60+ 260 (42) 267 (31)
 Gender, male 363 (58) 440 (50) P = 0.005
 Marital status P = 0.002
  Married 417 (67) 649 (75)
  Unmarried 133 (21) 150 (17)
  Divorced 68 (11) 67 (8)
  Widowed 7 (1) 3 (0.3)
 Education P < 0.001
  Illiterate 339(54) 327 (38)
  Primary school 218(35) 365 (42)
  Junior high school 57(9) 159 (18)
  Senior high school 11(2) 18 (2)
Enabling factors
 Distance from home to nearest designated medical centre, ≤ 3 km 224(36) 534 (61) P < 0.001
 Awareness of MFA detailed package 84(13) 410 (47) P < 0.001
 Economic status, extremely poor 225(36) 164 (19) P < 0.001
Need factors
 Disability status, disabled 179 (29) 130 (15) P < 0.001
 Presence of illness in last 2 weeks 85 (14) 105 (12) P = 0.385
 Presence of physician diagnosed chronic disease 176(28) 244 (28) P = 0.972
Outcomes
 Physician visit rate of respondents in last 2 Weeks 56 (9) 78 (9) P = 0.992
 Hospitalization rate 50 (8) 54 (6) P = 0.181
 High-Frequency use of MFA (≥2) 21 (3) 427 (49) P < 0.000
 Percentage of borrowing money for illness treatment (presence/absence) 148(24) 189(22) P = 0.380
 Percentage of Borrowing large amount money for illness treatment (≥500 RMB) 82(13) 108(12) P = 0.695

Note: Chi- square test was performed using SAS PROC FREQ.