Table 1.
Baseline demographics and characteristics of the intention-to-treat population
| App group (n = 425) | Control group (n = 469) | Total (n = 894) | |
|---|---|---|---|
| Age, years | |||
| 18–29 | 65 (15.29) | 55 (11.73) | 120 (13.42) |
| 30–39 | 85 (20.00) | 104 (22.17) | 189 (21.14) |
| 40–49 | 117 (27.53) | 143 (30.49) | 260 (29.08) |
| 50–59 | 114 (26.82) | 123 (26.23) | 237 (26.51) |
| ≥60 | 44 (10.35) | 44 (9.38) | 88 (9.84) |
| Gender | |||
| Women | 356 (83.76) | 398 (84.86) | 754 (84.34) |
| Men | 67 (15.76) | 68 (14.50) | 135 (15.10) |
| Prefer not to say | 2 (0.47) | 3 (0.64) | 5 (0.56) |
| Ethnicity | |||
| White | 389 (91.53) | 428 (91.26) | 817 (91.39) |
| Black/African/Caribbean/Black British | 7 (1.65) | 6 (1.28) | 13 (1.45) |
| Asian/Asian British | 15 (3.53) | 24 (5.12) | 39 (4.36) |
| Mixed/multiple and other racial and ethnic groups | 13 (3.06) | 11 (2.34) | 24 (2.68) |
| Missing | 1 (0.24) | 0 (0.0) | 1 (0.11) |
| Clinical occupational role | 251 (59.06) | 293 (62.47) | 544 (60.85) |
| Dietitian | 0 (0) | 2 (0.68) | 2 (0.37) |
| Doctor | 25 (9.96) | 23 (7.85) | 48 (8.82) |
| Healthcare assistant/nursing assistant | 36 (14.34) | 44 (15.02) | 80 (14.71) |
| Healthcare Scientist (lab technician) | 1 (0.4) | 3 (1.02) | 4 (0.74) |
| Medical associate/assistant | 2 (0.8) | 1 (0.34) | 3 (0.55) |
| Midwife | 3 (1.2) | 6 (2.05) | 9 (1.65) |
| Nurse | 95 (37.85) | 115 (39.25) | 210 (38.6) |
| Occupational therapist | 11 (4.38) | 12 (4.1) | 23 (4.23) |
| Other | 39 (15.54) | 30 (10.24) | 69 (12.68) |
| Pharmacist/pharmacy technician | 4 (1.59) | 6 (2.05) | 10 (1.84) |
| Physiotherapist | 6 (2.39) | 11 (3.75) | 17 (3.13) |
| Psychologist/assistant psychologist | 23 (9.16) | 28 (9.56) | 51 (9.38) |
| Radiographer | 3 (1.2) | 5 (1.71) | 8 (1.47) |
| Speech and language therapist | 1 (0.4) | 4 (1.37) | 5 (0.92) |
| Ward manager | 2 (0.8) | 3 (1.02) | 5 (0.92) |
| Non-clinical occupational role | 174 (40.94) | 176 (37.53) | 350 (39.15) |
| Administrative and clerical | 87 (50.00) | 88 (50.00) | 175 (50.00) |
| Catering services | 2 (1.15) | 0 (0.00) | 2 (0.57) |
| Chaplaincy | 1 (0.57) | 1 (0.57) | 2 (0.57) |
| Clinical support | 4 (2.30) | 6 (3.41) | 10 (2.86) |
| Domestic services | 2 (1.15) | 3 (1.70) | 5 (1.43) |
| Estates services | 0 (0.00) | 3 (1.70) | 3 (0.86) |
| Finance | 1 (0.57) | 4 (2.27) | 5 (1.43) |
| Healthcare scientists | 6 (3.45) | 10 (5.68) | 16 (4.57) |
| Human resources | 2 (1.15) | 6 (3.41) | 8 (2.29) |
| IT support | 5 (2.87) | 6 (3.41) | 11 (3.14) |
| Management | 26 (14.94) | 20 (11.36) | 46 (13.14) |
| Other | 21 (12.07) | 15 (8.52) | 36 (10.29) |
| Research/academic | 12 (6.90) | 11 (6.25) | 23 (6.57) |
| Social services (social worker) | 2 (1.15) | 0 (0.00) | 2 (0.57) |
| Support services (driver/porter/secretary) | 3 (1.72) | 3 (1.70) | 6 (1.71) |
| Use mental health/well-being app at least once a week | |||
| No | 372 (87.53) | 412 (87.85) | 784 (87.70) |
| Yes | 53 (12.47) | 57 (12.15) | 110 (12.30) |
| Use of mental health medication | |||
| No | 308 (72.47) | 359 (76.55) | 667 (74.61) |
| Yes | 117 (27.53) | 110 (23.45) | 227 (25.39) |
| Receiving therapy | |||
| No | 400 (94.12) | 433 (92.32) | 833 (93.18) |
| Yes | 25 (5.88) | 36 (7.68) | 61 (6.82) |
| Country of birth | |||
| UK | 364 (85.65) | 414 (88.27) | 778 (87.02) |
| European Union | 26 (6.12) | 17 (3.62) | 43 (4.81) |
| Other | 33 (7.76) | 37 (7.89) | 70 (7.83) |
| Missing | 2 (0.47) | 1 (0.21) | 3 (0.34) |