Table 3. Five true/false questions used to assess the survey participants’ knowledge of antibiotics (N = 1,830).
| Characteristics | Antibiotics can kill viruses (False) weighted n (%) † | Antibiotics are effective against cold and flu (False) weighted n (%) † | Unnecessary or inappropriate use of antibiotics can result in ineffective treatment or resistance (True) weighted n (%) † | |||||||||
| Correct | Incorrect | Don’t know | p-value | Correct | Incorrect | Don’t know | p-value | Correct | Incorrect | Don’t know | p-value | |
| Overall | 213 (11.7) | 1,329 (72.6) | 287 (15.7) | - | 279 (15.3) | 1,345 (73.5) | 205 (11.2) | - | 1,110 (60.6) | 542 (29.6) | 178 (9.7) | - |
| Gender | ||||||||||||
| female | 99 (10.2) | 725 (74.5) | 150 (15.4) | 0.08 | 142 (14.6) | 726 (74.5) | 106 (10.9) | 0.58 | 598 (61.4) | 286 (29.3) | 90 (9.3) | 0.69 |
| male | 114 (13.4) | 604 (70.6) | 138 (16.1) | 137 (16.0) | 619 (72.4) | 99 (11.6) | 512 (59.8) | 256 (30.0) | 88 (10.3) | |||
| Age group | ||||||||||||
| 18–29 | 85 (14.4) | 427 (72.6) | 76 (13.0) | 0.001 * | 136 (23.1) | 386 (65.7) | 66 (11.2) | <0.001 * | 362 (61.6) | 172 (29.3) | 53 (9.1) | 0.91 |
| 30–39 | 56 (12.5) | 327 (73.7) | 61 (13.7) | 70 (15.7) | 328 (74.0) | 46 (10.3) | 263 (59.2) | 140 (31.5) | 41 (9.3) | |||
| 40–49 | 43 (11.3) | 273 (72.3) | 62 (16.5) | 31 (8.3) | 297 (78.9) | 49 (12.9) | 226 (59.9) | 110 (29.2) | 41 (10.9) | |||
| 50- | 30 (7.2) | 303 (71.9) | 88 (20.8) | 43 (10.1) | 334 (79.2) | 45 (10.7) | 259 (61.5) | 120 (28.4) | 43 (10.1) | |||
| Urbanity | ||||||||||||
| urban | 65 (10.7) | 482 (80.0) | 56 (9.3) | <0.001 * | 93 (15.4) | 470 (77.9) | 40 (6.7) | <0.001 * | 395 (65.6) | 175 (29.0) | 33 (5.4) | <0.001 * |
| rural | 149 (12.1) | 847 (69.0) | 231 (18.9) | 186 (15.2) | 876 (71.4) | 165 (13.5) | 714 (58.2) | 367 (29.9) | 145 (11.9) | |||
| Characteristics | Taking antibiotics has side-effects such as diarrhhea (True) weighted n (%) † | Antibiotics are not equal to anti-inflammatory drugs such as painkillers or antipyretics (True) weighted n (%) † | ||||||||||
| Correct | Incorrect | Don’t know | p-value | Correct | Incorrect | Don’t know | p-value | |||||
| Overall | 716 (39.1) | 764 (41.8) | 350 (19.1) | - | 1310 (71.6) | 303 (16.6) | 217 (11.9) | - | ||||
| Gender | ||||||||||||
| female | 409 (42.0) | 382 (39.3) | 182 (18.7) | 0.02 * | 690 (70.8) | 163 (16.7) | 122 (12.5) | 0.62 | ||||
| male | 307 (35.8) | 382 (44.6) | 168 (19.6) | 620 (72.4) | 141 (16.4) | 95 (11.1) | ||||||
| Age group | ||||||||||||
| 18–29 | 200 (33.9) | 278 (47.3) | 110 (18.7) | <0.001 * | 429 (73.0) | 103 (17.5) | 56 (9.5) | 0.24 | ||||
| 30–39 | 162 (36.5) | 185 (41.8) | 96 (21.7) | 313 (70.5) | 68 (15.3) | 63 (14.2) | ||||||
| 40–49 | 159 (42.1) | 153 (40.5) | 66 (17.4) | 263 (69.6) | 61 (16.2) | 53 (14.1) | ||||||
| 50- | 196 (46.5) | 148 (35.2) | 77 (18.4) | 305 (72.4) | 71 (16.9) | 45 (10.7) | ||||||
| Urbanity | ||||||||||||
| urban | 219 (36.2) | 275 (45.6) | 110 (18.2) | 0.07 | 461 (76.5) | 91 (15.1) | 51 (8.4) | 0.002 * | ||||
| rural | 498 (40.5) | 489 (39.9) | 240 (19.6) | 849 (69.2) | 212 (17.3) | 166 (13.5) | ||||||
*refer to statistically significance
†row percentage