| Literature DB >> 32884359 |
Ting Wei Tiong1, Siew Siang Chua1.
Abstract
BACKGROUND: Antibiotic resistance has become one of the major global health threats. The lack of knowledge on antibiotics contributes to the indiscriminate use of these medications and subsequent antibiotic resistance.Entities:
Keywords: antibiotic; attitude; knowledge; resistance; university students
Year: 2020 PMID: 32884359 PMCID: PMC7443416 DOI: 10.2147/DHPS.S253301
Source DB: PubMed Journal: Drug Healthc Patient Saf ISSN: 1179-1365
Characteristics of Respondents and Association with Knowledge Level
| Characteristics | Number (n=424) | Knowledge Level | |||
|---|---|---|---|---|---|
| Poor (0–4) | Moderate (5–9) | Good (10–14) | |||
| Gender | |||||
| Male | 156 (36.8%) | 19 (12.2%) | 97 (62.2%) | 40 (25.6%) | 0.218 |
| Female | 268 (63.2%) | 48 (17.9%) | 164 (61.2%) | 56 (20.9%) | |
| Age | |||||
| 18–20 | 210 (49.5%) | 40 (19.0%) | 133 (62.3%) | 37 (17.6%) | 0.026* |
| 21–23 | 205 (48.3%) | 27 (13.2%) | 121 (59.0%) | 57 (27.8%) | |
| >23a | 9 (2.1%) | ||||
| Ethnic | |||||
| Malay | 56 (13.2%) | 9 (16.1%) | 32 (57.1%) | 15 (26.8%) | 0.396 |
| Chinese | 304 (71.7%) | 51 (16.8%) | 191 (62.8%) | 62 (20.4%) | |
| Indian | 48 (11.3%) | 5 (10.4%) | 28 (58.3%) | 15 (31.2%) | |
| Othersa | 16 (3.8%) | ||||
| Years of study | |||||
| Year 1 | 105 (24.8%) | 20 (19.0%) | 72 (68.6%) | 13 (12.4%) | <0.001** |
| Year 2 | 163 (38.4%) | 28 (17.2%) | 97 (59.5%) | 38 (23.3%) | |
| Year 3 | 121 (28.5%) | 15 (12.4%) | 82 (67.8%) | 24 (19.8%) | |
| Year 4 | 34 (8.0%) | 4 (11.8%) | 9 (26.5%) | 21 (61.8%) | |
| Year 5a | 1 (0.2%) | ||||
| Faculty of study | |||||
| Arts & Social Sciences | 61 (14.4%) | 7 (11.5%) | 44 (72.1%) | 10 (16.4%) | <0.001** |
| Built Environment, Engineering, Technology and Design | 123 (29.0%) | 17 (13.8%) | 80 (65.0%) | 24 (21.1%) | |
| Business and Law | 106 (25.0%) | 26 (24.5%) | 69 (65.1%) | 11 (10.4%) | |
| Health & Medical Sciences | 64 (15.1%) | 0 (0.0%) | 19 (29.7%) | 45 (70.3%) | |
| Hospitality, Food & Leisure Management | 70 (16.5%) | 17 (24.3%) | 49 (70.0%) | 4 (5.7%) | |
| Overall | 424 (100%) | 67 (15.8%) | 261 (61.6%) | 96 (22.6%) | |
Notes: *P value <0.05; **P value <0.01. aExcluded from the analysis: other ethnic groups included Iban, Melanau, Bidayuh, Dusun, Chinese-Indian, Sikh, Punjabi, Kadazan.
Figure 1Sources of information about antibiotics.
Note: The percentages added up to more than 100% as each respondent could give more than one source of knowledge.
Possible Determinants of Knowledge Level on Antibiotics, from Ordinal Logistic Regression
| Parameters | B | SE | 95% Wald CI | Hypothesis Test | OR | 95%CI for OR | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Lower | Upper | Chi-squared | Sig. | Lower | Upper | |||||
| Know = Good | 2.288 | 0.8632 | 0.596 | 3.979 | 7.023 | 1 | 0.008 | 9.850 | 1.814 | 53.481 |
| Know = Moderate | 5.749 | 0.9043 | 3.976 | 7.521 | 40.406 | 1 | 0.000 | 313.745 | 53.308 | 1846.547 |
| FHFLM | 3.097 | 0.4230 | 2.268 | 3.926 | 53.593 | 1 | 0.000 | 22.132 | 9.659 | 50.713 |
| FASS | 2.075 | 0.4231 | 1.246 | 2.904 | 24.052 | 1 | 0.000 | 7.964 | 3.475 | 18.250 |
| FBEETD | 2.270 | 0.3753 | 1.534 | 3.006 | 36.574 | 1 | 0.000 | 9.679 | 4.638 | 20.199 |
| FBL | 2.974 | 0.3934 | 2.203 | 3.745 | 57.167 | 1 | 0.000 | 19.571 | 9.053 | 42.310 |
| FHMS | Ref | 1 | ||||||||
| Female | 0.351 | 0.2295 | −0.098 | 0.801 | 2.345 | 1 | 0.126 | 1.421 | 0.906 | 2.228 |
| Male | Ref | 1 | ||||||||
| Age 18–23 | 0.770 | 0.7488 | −0.698 | 2.237 | 1.059 | 1 | 0.304 | 2.159 | 0.498 | 9.369 |
| Age 21–23 | 0.465 | 0.7227 | −0.952 | 1.881 | 0.413 | 1 | 0.520 | 1.591 | 0.386 | 6.561 |
| Age > 23 | Ref | 1 | ||||||||
| Chinese | 0.120 | 0.3225 | −0.512 | 0.752 | 0.139 | 1 | 0.710 | 1.128 | 0.599 | 2.122 |
| Indian | 0.152 | 0.4322 | −0.695 | 0.999 | 0.124 | 1 | 0.725 | 1.164 | 0.499 | 2.716 |
| Malay | Ref | 1 | ||||||||
| Year 1 | 0.735 | 0.5716 | −0.385 | 1.855 | 1.653 | 1 | 0.199 | 2.085 | 0.680 | 6.393 |
| Year 2 | 0.580 | 0.4998 | −0.399 | 1.560 | 1.348 | 1 | 0.246 | 1.787 | 0.671 | 4.758 |
| Year 3 | 0.703 | 0.4715 | −0.221 | 1.627 | 2.224 | 1 | 0.136 | 2.020 | 0.802 | 5.091 |
| Year 4 | Ref | 1 | ||||||||
| Scale | 1 | |||||||||
Note: Reference: Know = Poor.
Abbreviations: Know, knowledge level on antibiotics; B, coefficient; SE, standard error; Ref, reference group; FHFLM, Faculty of Hospitality, Food and Leisure Management; FASS, Faculty of Arts & Social Sciences; FBEETD, Faculty of Built Environment, Engineering, Technology and Design; FBL, Faculty of Business and Law; FHMS, Faculty of Health and Medical Sciences.
Knowledge and Attitude Towards Antibiotics
| Knowledge Statement | Correct Answer Freq (%) | Incorrect Answer Freq (%) | Unsure Freq (%) | |
|---|---|---|---|---|
| 1. | Antibiotics are medicines that can kill bacteria. | 330 (77.8) | 45 (10.6) | 49 (11.6) |
| 2. | Antibiotics can be used to treat viral infections. | 116 (27.4) | 218 (51.4) | 90 (21.2) |
| 3. | Antibiotics can cure all infections. | 291 (68.6) | 40 (9.4) | 93 (21.9) |
| 4. | Antibiotics are indicated to relieve pain/inflammation. | 196 (46.2) | 129 (30.4) | 99 (23.3) |
| 5. | Antibiotics are used to stop fever. | 187 (44.1) | 148 (34.9) | 89 (21.0) |
| 6. | Penicillin is an antibiotic. | 197 (46.5) | 45 (10.6) | 182 (42.9) |
| 7. | Aspirin is a new generation of antibiotic. | 150 (35.4) | 71 (16.7) | 203 (47.9) |
| 8. | Paracetamol is considered as an antibiotic. | 175 (41.3) | 96 (22.6) | 153 (36.1) |
| 9. | Diphenhydramine is not an antibiotic. | 39 (9.2) | 39 (9.2) | 346 (81.6) |
| 10. | Overuse of antibiotics can cause antibiotic resistance. | 305 (71.9) | 32 (7.5) | 87 (20.5) |
| 11. | Antibiotics may cause allergic reaction. | 310 (73.1) | 32 (7.5) | 82 (19.3) |
| 12. | All antibiotics do not cause side effects. | 306 (72.2) | 28 (6.6) | 90 (21.2) |
| 13. | You can stop taking a full course of antibiotic if your symptoms are improving. | 283 (66.7) | 72 (17.0) | 69 (16.3) |
| 14. | The effectiveness of treatment is reduced if a full course of antibiotic is not completed. | 264 (62.3) | 59 (13.9) | 101 (23.8) |
| 1. | When I get a cold, I will take antibiotics to help me get better more quickly. | 85 (20.0) | 247 (58.3) | 92 (21.7) |
| 2. | I expect antibiotics to be prescribed by my doctor if I suffer from common cold symptoms. | 151 (35.6) | 165 (38.9) | 108 (25.5) |
| 3. | I normally stop taking antibiotics when I start feeling better. | 141 (33.3) | 219 (51.7) | 64 (15.1) |
| 4. | If my family member is sick, I usually will give my antibiotics to them. | 47 (11.1) | 291 (68.6) | 86 (20.3) |
| 5. | I normally keep antibiotics stocks at home in case of emergency. | 122 (28.8) | 239 (56.4) | 63 (14.9) |
| 6. | I will use leftover antibiotics for a respiratory illness. | 33 (7.8) | 307 (72.4) | 84 (19.8) |
| 7. | I will take antibiotics according to the instruction on the label. | 359 (84.7) | 18 (4.2) | 47 (11.1) |
| 8. | I normally will look at the expiry date of antibiotics before taking it. | 336 (79.2) | 39 (9.2) | 49 (11.6) |
Note: “Disagree” for attitude statement 1–6 and “Agree” for attitude statement 7–8 are positive attitudes.