Table 1.
Study participant demographics at each time point in a psychiatric ward in a Japanese hospital.
Baseline (T1) | Midpoint (T2) | Post (T3) | One-Month Post (T4) | p | |||||
---|---|---|---|---|---|---|---|---|---|
n = 47 | n = 43 | n = 38 | n = 36 | ||||||
n (%) | Mean (SD) | n (%) | Mean (SD) | n (%) | Mean (SD) | n (%) | Mean (SD) | ||
Gender | 0.549 | ||||||||
Male | 11 (23.4) | 6 (14.0) | 10 (26.3) | 7 (19.4) | |||||
Female | 35 (74.5) | 37 (86.0) | 28 (73.7) | 26 (72.2) | |||||
Not provided | 1 (2.1) | - | - | 3 (8.3) | |||||
Age | 0.901 | ||||||||
20–29 | 19 (40.4) | 18 (41.9) | 17 (44.7) | 15 (41.7) | |||||
30–39 | 14 (29.8) | 10 (23.3) | 10 (26.3) | 9 (25) | |||||
40–49 | 8 (17.0) | 7 (16.3) | 4 (10.5) | 7 (19.4) | |||||
50–59 | 3 (6.4) | 4 (9.3) | 4 (10.5) | 3 (8.3) | |||||
Over 60 | 3 (6.4) | 3 (7.0) | 2 (5.3) | - | |||||
Not provided | - | 1 (2.0) | 1 (2.6) | 2 (5.6) | |||||
Job | 0.837 | ||||||||
Nurse | 22 (46.8) | 25 (58.1) | 17 (44.7) | 19 (52.8) | |||||
Medical doctor | 13 (27.7) | 9 (20.9) | 11 (28.9) | 9 (25.0) | |||||
Others | 10 (21.3) | 9 (20.9) | 8 (21.1) | 6 (16.7) | |||||
Not provided | 2 (4.3) | - | 2 (5.3) | 2 (5.6) | |||||
Employment status | 0.446 | ||||||||
Full-time | 38 (80.9) | 34 (79.1) | 25 (65.8) | 26 (72.2) | |||||
Part-time | 9 (19.1) | 8 (18.6) | 12 (31.6) | 7 (19.4) | |||||
Not provided | - | 1 (2.3) | 1 (2.6) | 3 (8.3) | |||||
Years of experience in job |
0.796 | ||||||||
All | 4.2 (5.1) | 8 (7.3) | 7.1 (6.5) | 7.9 (6.5) | |||||
Nurse | 7.9 (8.1) | 8.1 (7.7) | 8.6 (8.5) | 8.2 (6.7) | |||||
Medical doctor | 8.8 (7.5) | 7.1 (8.3) | 4.9 (5.4) | 7.9 (8.1) | |||||
Others | 9.7 (9.0) | 8.5 (5.6) | 7.1 (2.5) | 7 (2.7) |
Note: T1 (baseline = August 2014), T2 (at the midpoint, three months after starting the program), T3 (post-program after the last session of the CREW program conducted six months after the baseline), and T4 (one-month follow-up after the end of the CREW program = March 2015). Others: psychiatric social workers, occupational therapists, clinical psychologists, pharmacists, cleaning staff, nursing assistants, and medical clerks.