Table 1 Baseline characteristics of quantitative survey participants
Baseline characteristics of respondents, n (%) | Moderate antibiotic prescriber (N = 380) | High antibiotic prescriber (N = 177) | P-value |
|---|---|---|---|
Institution | |||
Institution 1 | 67 (17.6%) | 14 (7.9%) | 0.001* |
Institution 2 | 74 (19.5%) | 56 (31.6%) | |
Institution 3 | 99 (26.1%) | 42 (23.7%) | |
Institution 4 | 140 (36.8%) | 65 (36.7%) | |
Years of experience | (N = 377) | (N = 177) | |
≤ 5 Years | 56 (14.9%) | 45 (25.4%) | 0.003* |
Basic medical education | (n = 378) | (N = 177) | |
Singapore | 228 (60.3%) | 100 (56.5%) | 0.394 |
COVID-19 status | (n = 380) | (n = 177) | |
Pre-DORSCON Orange | 126 (33.2%) | 129 (73.3%) | 0.001* |
Physician Designation | (n = 376) | (n = 176) | |
Junior physicians# | 302 (80.3%) | 129 (73.3%) | 0.063 |
Attitude factor scores, Mean (SD) | (n = 377) | (n = 177) | |
Factor 1: Perception of antibiotic over-prescribing in the ED | − 0.160 (0.98) | 0.351 (0.95) | < 0.001** |
Factor 2: Perception of organization safety culture in the ED | 0.054 (0.99) | − 0.129 (1.00) | 0.114 |
Factor 3: Perception of the utility of clinical decision support tools for antibiotic prescribing | − 0.022 (1.04) | 0.050 (0.92) | 0.888 |
Factor 4: Perception of the utility of patient education on antibiotics use and antibiotics resistance | − 0.021 (1.00) | 0.039 (1.01) | 0.449 |
Factor 5: Insufficient patient education | − 0.004 (1.03) | 0.018 (0.94) | 0.776 |
Behaviour factor scores, Mean (SD) | (n = 370) | (n = 175) | |
Factor 1: Pressure to prescribe antibiotics (Patient attributed) | − 0.213 (0.81) | 0.456 (1.20) | < 0.001** |
Factor 2: Effort to prescribe antibiotics prudently due to concerns about antibiotic resistance | 0.179 (0.96) | − 0.379 (0.98) | < 0.001** |
Factor 3: Lowered threshold for antibiotics prescribing | − 0.241 (0.98) | 0.524 (0.83) | < 0.001** |
Factor 4: Peer influence on antibiotic prescribing | 0.055 (0.99) | − 0.138 (1.00) | 0.002* |