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.