Table 6 Major influencing factors on medical debt of MFA cardholders in project Areas
Factors | Borrowing large amount money(≥500RMB) ※ | |
|---|---|---|
| Â | OR (CI, 95%) | P |
Type (H8SP/H8) | 0.8 (0.6, 1.3) | 0.281 |
Gender (male/female) | 19.8 (11.5, 34.0) | 0.000 |
Age (15-39.9/60+) | 1.4 (0.9, 2.1) | 0.387 |
Age (40-59.9/60+) | 2.5 (1.8, 3.7) | 0.000 |
Marital status (unmarried/married) | 1.6 (0.9, 2.9) | 0.317 |
Marital status (Widowed+ divorced/married) | 0.3 (0.1, 0.5) | 0.000 |
Education (Illiterate/junior high school+) | 0.8 (0.5, 1.5) | 0.819 |
Education (Primary school/junior high school+) | 1.1 (0.7, 1.8) | 0.639 |
Economic status (Extremely poor/relatively poor) | 1.4 (1.0, 2.1) | 0.082 |
Disability status (Presence/absence) | 1.0 (0.6, 1.4) | 0.874 |
Distance from home to the nearest designated medical centre (≤3 km/>3 km) | 0.8 (0.6, 1.1) | 0.321 |
Awareness of MFA detailed package (Yes/no) | 1.5 (1.0, 2.1) | 0.045 |
Presence of Illness in last 2 weeks (Presence/absence) | 1.0 (0.4, 2.3) | 0.893 |
Presence of Chronic disease (Presence/absence) | 1.5 (1.1, 2.2) | 0.036 |
Physician visit (yes/no) | 1.3 (0.6, 3.2) | 0.647 |
High-frequency MFA use (≥2) (yes/no) | 1.1 (0.7, 1.7) | 0.589 |
Hospitalization (yes/no) | 4.2 (2.4, 6.8) | 0.000 |