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. 2023 Mar 10;33:89–96. doi: 10.1016/j.jgar.2023.02.025

Table 1.

Baseline characteristics of patients, by antibiotic expectation and antibiotic receipt.

Antibiotic expectation
Antibiotic receipt
Baseline characteristics of respondents, n(%) All patients
(N=681)
Expecting antibiotics
(N=211)
Did not expect antibiotics
(N=470)
P value Prescribed antibiotics
(N=59)
Was not prescribed antibiotics
(N=622)
P value
Demographics n(%) n(%) n(%) n(%) n(%)
Age, mean (SD) 34.5 (12.7) 33.6 (12.3) 34.6 (12.9) 0.228a 34.2 (13.3) 34.3 (12.7) 0.113a
Male sex 339 (49.8%) 109 (51.7 %) 230 (48.9%) 0.566 25 (42.4%) 314 (50.5%) 0.292
Race
 Chinese 314 (46.1%) 92 (43.6 %) 222 (47.2%) 0.572 31 (52.5%) 283 (45.5%) 0.306
 Malay 174 (25.6%) 61 (28.9 %) 113 (24.0%) 9 (15.3%) 165 (26.5%)
 Indian 114 (16.7%) 33 (15.6 %) 81 (17. %) 11 (18.6%) 103 (16.6 %)
 Other races 79 (11.6%) 25 (11.9 %) 54 (11.5%) 8 (13.6%) 71 (11.4%)
Nationality
 Singaporean 498 (73.1%) 157 (74.4 %) 341 (72.6%) 0.550 40 (67.8%) 458 (73.6%) 0.550
 Permanent resident 68 (10.0%) 23 (10.9 %) 45 (9.6%) 8 (13.6%) 60 (9.7 %)
 Others 115 (16.9%) 31 (14.7 %) 84 (17.9%) 11 (18.6%) 104 (16.7%)
Tertiary education 224 (32.9%) 56 (26.5 %) 168 (35.7%) 0.023b 21 (35.6%) 203 (32.6%) 0.751
Health status
 Having a fever during the visit 248 (36.4%) 82 (38.9%) 166 (35.3%) 0.422 26 (44.1%) 222 (35.7%) 0.256
 Smoker 149 (21.9%) 49 (23.2%) 100 (21.3%) 0.640 12 (20.3%) 137 (22.0%) 0.893
Charlson comorbidity severity
 No comorbidity 621 (91.2%) 196 (92.9%) 425 (90.4%) 0.663c 51 (86.4%) 570 (91.6%) 0.139c
 Mild 52 (7.6%) 13 (6.2%) 39 (8.3%) 6 (10.2%) 46 (7.4%)
 Moderate/Severe 8 (1.2%) 2 (2.0%) 6 (1.3%) 2 (3.4%) 6 (1.0%)
Influenza vaccinated (within 12 months) 257 (37.7%) 68 (32.2%) 189 (40.2%) 0.057 18 (30.5%) 239 (38.4%) 0.290
Pneumonia vaccinated 59 (8.7%) 15 (7.1%) 44 (9.4%) 0.413 3 (5.1%) 56 (9.0%) 0.435c
COVID-19 vaccinated (2 doses) 362 (53.2%) 107 (50.7%) 255 (54.3%) 0.439 25 (42.4%) 337 (54.2%) 0.109
Health seeking behaviour
Prior (non-ED) consult for same condition
 No prior consult 474 (69.6%) 124 (58.8%) 350 (74.5%) <0.001d 30 (50.9%) 444 (71.4%) <0.001d
 Prior consult with antibiotics 44 (6.5%) 31 (14.7%) 13 (2.8%) 12 (20.3%) 32 (5.14%)
 Prior consult w/o antibiotics 163 (23.9%) 56 (26.5%) 107 (22.8%) 17 (28.8%) 146 (23.5%)
Expects a COVID-19 test 534 (78.4%) 171 (81.0%) 363 (77.2%) 0.309 41 (69.5%) 493 (79.3%) 0.115
Payment method (n=676) (n=208) (n=468) (n=57) (n=619)
 Employee benefits 404 (59.8%) 111 (53.4%) 293 (62.6%) 0.123 26 (45.6%) 183 (29.6%) 0.086c
 Government/private insurance 54 (8.0%) 19 (9.1%) 35 (7.5%) 26 (45.6%) 378 (61.1%)
 Out-of-pocket 209 (30.9%) 74 (35.6%) 135 (28.9%) 4 (7.0%) 50 (8.1%)
 Social subsidies 9 (1.3%) 4 (1.9%) 5 (1.1%) 1 (1.8%) 8 (1.3%)
Antibiotics use
Knowledge on antibiotics
 Poor (Score ≤ 4) 276 (40.5%) 90 (42.7%) 186 (39.57 %) 0.002b 20 (33.9%) 256 (41.2%) 0.261
 Moderate (Score 5-7) 278 (40.8%) 98 (46.5%) 180 (38.3 %) 30 (50.9%) 248 (39.9%)
 Good (Score ≥ 8) 127 (18.6%) 23 (10.9%) 104 (22.13 %) 9 (15.3%) 118 (19.0%)
Expected antibiotics 211 (30.1%) - - 46 (78.0%) 165 (26.5%) <0.001d
a

Kruskal-Wallis test.

b

P < 0.05.

c

Fisher's exact test.

d

P < 0.001.