Table 3 Factors associated with the risk perception to infected/colonised cases of antimicrobial resistance
Population-based variables | Individual risk | Collective risk | ||||
|---|---|---|---|---|---|---|
Number of participants with a Low/Neutral-risk perceptiona | Number of participants with a High-risk perceptiona | Univariate analysis (p value) | Number of participants with a Low/Neutral-risk perceptiona | Number of participants with a High-risk perceptiona | Univariate analysis (p value) | |
Participants years of practice as an IPC specialist (n = 128) | ||||||
< 5 | 3 (7) | 13 (15) | 0.10 | 5 (12) | 11 (13) | 1.00 |
≥ 5 | 48 (94) | 64 (83) | 38 (88) | 874 (87) | ||
Type of healthcare facility of participants (n = 128) | ||||||
Private hospitals | 1 (2) | 1 (1) | 0.86 | 0 (0) | 2 (2) | 0.34 |
Public general hospital | 24 (47) | 40 (52) | 25 (58) | 39 (46) | ||
University hospital | 26 (51) | 36 (47) | 18 (42) | 44 (52) | ||
Number of acute care beds (n = 128) | ||||||
< 300 | 13 (25) | 16 (21) | 0.72 | 10 (23) | 19 (22) | 0.97 |
300–600 | 11 (22) | 21 (27) | 10 (23) | 22 (26) | ||
≥ 600 | 27 (53) | 40 (52) | 23 (54) | 44 (52) | ||
Epidemiology of MDROs the year prior the study | ||||||
Local number of MDRO bacteremia in 2015a, (n = 461) | ||||||
0 | 42 (19) | 64 (26) | 0.01 | 15 (13) | 91 (26) | 0.001 |
1-≤ 10 | 81 (37) | 107 (44) | 45 (38) | 143 (41) | ||
> 10 | 94 (43) | 74 (30) | 57 (49) | 111 (32) | ||
National invasive infections, Resistant isolate % (n = 495) | ||||||
< 1% | 33 (14) | 60 (23) | 0.003 | 10 (9) | 83 (23) | < 0.001 |
1-< 5% | 24 (10) | 38 (15) | 7 (5) | 55 (15) | ||
5-< 10% | 13 (6) | 25 (10) | 11 (9) | 27 (7) | ||
10-< 25% | 59 (25) | 41 (16) | 39 (30) | 61 (17) | ||
25-< 50% | 32 (14) | 35 (13) | 21 (16) | 46 (13) | ||
50-< 75% | 14 (6) | 6 (2) | 5 (4) | 15 (4) | ||
≥ 75% | 59 (25) | 56 (21) | 35 (27) | 80 (22) | ||
Local IPC organisation | ||||||
Low level | 27 (53) | 49 (64) | 0.22 | 22 (51) | 54 (64) | 0.18 |
High level | 24 (47) | 28 (36) | 21 (49) | 31 (36) | ||
Individual cognitive factors for compliance with AMR control measures | ||||||
Low level | 34 (67) | 46 (60) | 0.42 | 27 (63) | 53 (62) | 0.96 |
High level | 17 (33) | 31 (40) | 16 (37) | 32 (38) | ||
Perception of the organization and work conditions in participants hospital | ||||||
Teamwork | ||||||
Low level | 43 (84) | 56 (73) | 0.12 | 34 (79) | 65 (76) | 0.74 |
High level | 8 (16) | 21 (27) | 9 (21) | 20 (24) | ||
Perception of management | ||||||
Low level | 42 (82) | 54 (70) | 0.12 | 33 (77) | 63 (74) | 0.75 |
High level | 9 (18) | 23 (30) | 10 (23) | 22 (26) | ||
Stress and chaos | ||||||
Low level | 41 (80) | 60 (78) | 0.74 | 37 (86) | 64 (75) | 0.16 |
High level | 10 (20) | 17 (22) | 6 (14) | 21 (25) | ||
Well-being and work conditions | ||||||
Low level | 37 (73) | 53 (69) | 0.65 | 31 (72) | 59 (69) | 0.75 |
High level | 14 (27) | 24 (31) | 12 (28) | 26 (31) | ||
National socio-cultural factors | ||||||
Power Distance | ||||||
Low level | 36 (71) | 59 (77) | 0.44 | 28 (65) | 67 (79) | 0.09 |
High level | 15 (29) | 18 (23) | 15 (35) | 18 (21) | ||
Uncertainty Avoidance | ||||||
Low level | 41 (80) | 55 (71) | 0.25 | 32 (74) | 64 (75) | 0.91 |
High level | 10 (20) | 22 (29) | 11 (26) | 21 (25) | ||
Individualism | ||||||
Low level | 33 (65) | 57 (74) | 0.26 | 28 (65) | 62 (73) | 0.36 |
High level | 18 (35) | 20 (26) | 15 (35) | 23 (27) | ||
Masculinity | ||||||
Low level | 34 (67) | 54 (70) | 0.68 | 24 (60) | 64 (75) | 0.02 |
High level | 17 (33) | 23 (30) | 19 (40) | 21 (25) | ||
Socio-economic factors | ||||||
GDP per capita | ||||||
Low level | 41 (80) | 63 (82) | 0.84 | 33 (80) | 71 (84) | 0.35 |
High level | 10 (20) | 14 (18) | 10 (20) | 14 (16) | ||
Health expenditure per capita | ||||||
Low level | 27 (53) | 50 (65) | 0.17 | 18 (42) | 59 (69) | 0.003 |
High level | 24 (47) | 27 (35) | 25 (58) | 26 (31) | ||