Table 1.
Characteristics of the population by professions
| Doctors N=297 | Psychologists N =178 | Nurses N =126 | Midwives N =66 | Technicians N =148 | Physiotherapists N=118 | Pharmacists N=5 | Others N=25 | ||
|---|---|---|---|---|---|---|---|---|---|
| *Gender (F), n (%) | 182 (61) | 160 (90) | 28 (74) | 97(77) | 65 (98) | 98 (66) | 71 (60) | 4 (80) | 21 (84) |
| *Age (M ±DS) | 50 (13) | 41 (12) | 43 (12) | 42 (11) | 38 (10) | 41 (12) | 41 (11) | 49 (5) | 43 (10) |
| *Education, n (%) | |||||||||
|
.. | .. | 1 (3) | 23 (18) | 1 (2) | 11 (7) | 10 (8) | .. | 7 (28) |
|
297 (100) | 178 (100) | 37 (97) | 103 (82) | 65 (98) | 137 (93) | 108 (92) | 5 (100) | 18 (72) |
| *Family members (>3), n (%) | 216 (73) | 99 (56) | 25 (66) | 87 (69) | 46 (70) | 92 (62) | 71 (60) | 3 (60) | 14 (56) |
| *Years of work (M ±DS) | 21 (14) | 12 (11) | 17 (12) | 17 (11) | 13 (11) | 16 (13) | 16 (11) | 21 (8) | 15 (12) |
| *Smoker, n (%) | 56 (19) | 49 (27) | 12 (32) | 39 (31) | 21 (32) | 29 (20) | 26 (22) | 0(0) | 5 (20) |
| *Smoker in the workplace, n (%) | 36 (64) | 25 (51) | 7 (58) | 30 (77) | 12(57) | 16 (55) | 14 (54) | 0 (0) | 2 (40) |
| *Biological risk at work, n (%) | 246 (83) | 58 (33) | 37 (97) | 116 (92) | 65 (98) | 114 (77) | 92 (78) | 3(3) | 15 (3) |
| *Fear of COVID-19 infection, n (%) | 208 (70) | 88 (49) | 32 (84) | 106 (84) | 51 (77) | 108 (73) | 80 (68) | 4 (80) | 15 (60) |
| *Fear of infecting family, n (%) | 247 (83) | 122 (68) | 33 (86) | 105 (83) | 57 (86) | 131 (88) | 93 (79) | 5 (100) | 24 (96) |
| *Work protective equipment, n (%) | 150 (50) | 79 (44) | 19(50) | 94(75) | 47(71) | 100 (68) | 65 (55) | 5 (100) | 12 (48) |
*Discomfort using PPE, n (%)
|
193 (65) 46 (15) |
103 (58) 35 (20) |
26 (68) 10 (26) |
99 (79) 30 (24) |
54 (82) 20 (30) |
102 (69) 48 (32) |
62 (52) 24 (20) |
5 (100) 3 (60) |
14 (56) 5 (20) |
| *Remoteworking, n (%) | 47 (16) | 131 (74) | 1 (2,6) | 9 (7) | 6 (9) | 36 (24) | 18 (15) | 0 (0) | 13 (52) |
| Information/training, n (%) | 285 (96) | 168 (94) | 37 (97) | 119 (94) | 65 (98) | 140 (95) | 112 (95) | 5 (100) | 24 (96) |
|
241 (81) | 161 (90) | 34 (89) | 90 (71) | 54 (82) | 128 (86) | 101 (86) | 5 (100) | 22 (88) |
|
99 (33) | 42 (24) | 5 (13) | 81 (64) | 40 (61) | 60 (40) | 40 (34) | 2 (40) | 7 (28) |
|
294 (99) | 177 (99) | 37 (97) | 124 (98) | 66 (100) | 145 (98) | 117 (99) | 5 (100) | 25 (100) |
| Job /task changes, n(%) | 39 (13) | 27 (15) | 2(5) | 15(12) | 3(4) | 16 (11) | 12 (10) | 1(20) | 0 (0) |
| *Economic loss, n (%) | 132 (44) | 127 (71) | 37 (97) | 26 (21) | 13 (20) | 48 (32) | 84 (71) | 2 (40) | 10 (40) |
| *Involved in emergency management, n (%) | 220 (74) | 117(66) | 5 (13) | 108 (86) | 46 (68) | 86 (58) | 20 (17) | 3 (60) | 11 (44) |
| * COVID-19 infection at work, n (%) | 70 (23) | 16 (8) | 4 (10) | 56 (44) | 19 (28) | 44 (30) | 25 (21) | 0 (0) | 2 (8) |
*p<0.05