Table 6 Results for multiple logistic regression analysis of distress financing for those who arrived alive at study hospitals following road traffic injury (RTI)
From: Burden of out-of-pocket expenditure for road traffic injuries in urban India
Variable | Category | Total N = 723 | Distress financing* | |
|---|---|---|---|---|
Number with distress financing (%) | Odds ratio for incurring distress financing (95% CI) | |||
Type of road user†‡ | Pedestrian/cyclist | 220 | 178 (80.9) | 1.4 (0.8-2.6) |
MTV | 356 | 215 (60.4) | 0.9 (0.5-1.5) | |
Others | 147 | 105 (71.4) | 1 | |
Type of hospital‡ | Private | 168 | 53 (31.5) | 1 |
Public | 555 | 445 (80.2) | 2.8 (1.7-4.6) | |
Per capita annual household income quartile‡ | I (lowest) | 197 | 175 (88.8) | 7.0 (3.7-13.3) |
II | 192 | 154 (80.2) | 3.7 (2.1-6.5) | |
III | 153 | 104 (68.0) | 3.2 (1.8-5.6) | |
IV (highest) | 180 | 65 (36.1) | 1 | |
In-patient days‡ | <4 | 266 | 148 (55.6) | 1 |
4 - 7 | 140 | 81 (57.9) | 1.3 (0.8-2.3) | |
> 7 | 317 | 269 (84.9) | 4.5 (2.8-7.4) | |
Injury severityठ| 1-4 | 380 | 227 (59.7) | 1 |
>4 | 330 | 262 (79.4) | 1.8 (1.1-2.6) | |
Access to insurance‡ | Yes | 153 | 50 (32.7) | 1 |
No | 570 | 448 (78.6) | 3.4 (2.0-5.7) | |