Table 1.
Attributes of subjects.
| Overall cohort (n = 323) | Propensity score-matched cohort (n = 100) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
RP
+
TAU (n = 190) |
TAU (n = 133) |
p-value | Standardized difference |
RP
+
TAU (n = 50) |
TAU (n = 50) |
p-value | Standardized difference | |||||
| n/mean | (%/SD) | n/mean | (%/SD) | n/mean | (%/SD) | n/mean | (%/SD) | |||||
| Age | 40.6 | (7.8) | 34.9 | (6.6) | p ≦ 0.001*** | 0.7776 | 37.1 | (6.9) | 37.7 | (7.5) | 0.688 | −0.0833 |
| Sex (male) | 164 | (86.3) | 97 | (72.9) | 0.003** | 0.3393 | 41 | (82.0) | 41 | (82.0) | 1.000 | 0.0000 |
| Diagnosis | ||||||||||||
| Unipolar disorder | 149 | (78.4) | 120 | (90.2) | 0.005** | 0.3152 | 41 | (82.0) | 42 | (84.0) | 0.790 | 0.0533 |
| Bipolar disorder | 41 | (21.6) | 13 | (9.8) | 9 | (18.0) | 8 | (16.0) | ||||
| Number of sick leaves | 2.1 | (1.4) | 1.6 | (1.0) | p ≦ 0.001*** | 0.3997 | 1.8 | (0.9) | 1.7 | (1.1) | 0.330 | 0.0995 |
| Total sick leave days | 566.8 | (402.9) | 365.8 | (214.5) | p ≦ 0.001*** | 0.5440 | 443.4 | (228.2) | 456.4 | (289.4) | 0.746 | −0.0499 |
| Type of business | ||||||||||||
| Information technology | 33 | (17.4) | 81 | (60.9) | p ≦ 0.001*** | 1.0031 | 29 | (58.0) | 28 | (56.0) | 0.840 | 0.0405 |
| Other than information technology | 157 | (82.6) | 52 | (39.1) | 21 | (42.0) | 22 | (44.0) | ||||
| Company size | ||||||||||||
| <1,000 employees | 45 | (23.7) | 42 | (31.6) | 0.115 | 0.1759 | 17 | (34.0) | 17 | (34.0) | 1.000 | 0.0000 |
| 1,000 or more employees | 145 | (76.3) | 91 | (68.4) | 33 | (66.0) | 33 | (66.0) | ||||
RP, Re-work program; TAU, Treatment as usual.
**
p <0.01;
***
p ≦ 0.001.