Knowledge, Attitude, and Practice with Respect to Antibiotic Use among Chinese Medical Students: A Multicentre Cross-Sectional Study
Abstract
:1. Introduction
2. Methods
2.1. Participants
2.2. Questionnaire
2.3. Data Collection
2.4. Statistical Analysis
3. Results
3.1. Socio-Demographic Characteristics
3.2. Antibiotic Use Behaviours for Self-Limiting Illness and Symptoms
3.3. Determinants of Antibiotic Use Behaviours
3.4. Factors Influencing Antibiotic Use Behaviours
4. Discussion
4.1. Summary of the Study
4.2. Comparison with the Existing Studies
4.3. Implications of This Study
4.4. Limitations of This Study
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Constructs | Questionnaire (1) True (2) False (3) Do not know |
---|---|
Knowledge | 1. Antibiotics are effective for viral infections 2. Antibiotics have the same effects as anti-inflammatory drugs 3. If one needs to use antibiotics, it is best to give them by intravenous infusion 4. Once the symptoms are relieved, one should immediately stop using antibiotics 5. We will have few antibiotics to use in the future if we do not use antibiotics properly 6. The more frequently people use antibiotics, the more difficult it will be to treat bacterial infections 7. Antibiotics are effective for treating common cold (cough, runny nose) 8. Antibiotics can speed up recovery from flu 9. Antibiotics can relieve the symptoms of colds 10. Antibiotics are effective for sore throats 11. One needs to take antibiotics for a cold with green mucus 12. Antibiotics are effective for treating the common cold 13. Overseas antibiotics are more effective than domestic ones |
Attitude | (1) Yes (2) No (3) Unknown/Uncertain 14. Do you think antibiotic overuse is a serious problem in China? 15. Do you prefer to use antibiotics when you: 15.1. have sore throat? 15.2. have a cough? 15.3. have a runny nose? 15.4. have a common cold? 15.5. have a fever? 15.6. have diarrhoea? |
Practice | 16.1. What illness/symptoms have you had in the last month? (a) sore throat; (b) cough; (c) runny nose; (d) common cold; (e) fever; (f) diarrhoea; (g) headache; (h) abdominal pain; (i) suspected pneumonia; (j) other/s please write down_____ 16.2. What have you done for an illness you have experienced in the last month? (1) self-medicated (2) seen a doctor (3) nothing 16.3. If you saw a doctor, did you receive antibiotic prescription? 16.3.1. If you received antibiotic prescription, which kind of antibiotic did you receive? (1) Oral (2) intravenous infusion 17. If you self-medicated, did you use antibiotics? (1) yes (2) no (3) do not remember 17.1. If yes, which antibiotic did you use? 18. Are there any left-over antibiotics at your home/dormitory (not for current use)? (1) yes (2) no (3) do not remember 19. Did you ask for an antibiotic if you did not receive one from a clinician during the consultation? (1) yes (2) no (3) do not remember 20. Did you take antibiotics to prevent diseases (such as common cold) in the past year? (1) yes (2) no (3) do not remember |
Characteristics | N (%) |
---|---|
University (Province) | |
Nankai University (Tianjin) | 281 (15.5%) |
Zhejiang University (Zhejiang) | 302 (16.6%) |
Jilin University (Jilin) | 341 (18.8%) |
Wuhan University (Hubei) | 303 (16.7%) |
Lanzhou University (Gansu) | 292 (16.1%) |
Guizhou University (Guizhou) | 300 (16.5%) |
Gender | |
Male | 661 (36.3%) |
Female | 1158 (63.7%) |
Age (years) | |
16–20 | 717 (39.4%) |
21–25 | 980 (53.9%) |
26–40 | 122 (6.71%) |
Education level | |
Diploma-B. A | 1244 (68.4%) |
Master–PhD | 575 (31.6%) |
Study year | |
Uy1–Uy3/pre clinic | 779 (42.8%) |
Uy4–Uy8/post clinic | 1040(57.2%) |
Father’s education | |
Less than college level | 1341 (73.4%) |
Above college level | 478 (26.3%) |
Mother’s education | |
Less than college level | 1448 (79.6%) |
Above college level | 3718 (20.4%) |
Medical background father | |
Yes | 106 (5.8%) |
No | 1713 (94.2%) |
Medical background mother | |
Yes | 124 (6.8%) |
No | 1695 (93.2%) |
Household income/month | |
< US$1538 | 1565 (86.0%) |
=/> US$1538 | 254 (14.0%) |
Hometown | |
Rural | 916 (50.4%) |
Urban | 903 (49.6%) |
Symptoms | Cases (n) | SM | SMA | See a Doctor | Antibiotic Prescribed | Injectable Antibiotics | With no Specific Treatment |
---|---|---|---|---|---|---|---|
Cold | 363 | 215 (59.2%) | 66 (30.7%) | 61 (16.8%) | 40 (65.6%) | 14 (35.0%) | 87 (24.0%) |
Fever | 72 | 33 (45.8%) | 11 (33.3%) | 25 (34.7%) | 20 (80.0%) | 8 (40.0%) | 14 (19.4%) |
Sore throat | 182 | 104 (57.1%) | 36 (34.6%) | 36 (19.8%) | 27 (75.0%) | 11 (40.7%) | 42 (23.1%) |
Ear pain | 29 | 9 (31.0%) | 5 (55.6%) | 15 (51.7%) | 11 (73.3%) | 4 (36.4%) | 5 (17.2%) |
Headache | 81 | 47 (58.0%) | 12 (25.5%) | 18 (22.2%) | 14 (77.8%) | 6 (42.9%) | 16 (19.8%) |
Flu-like illness | 23 | 9 (39.1%) | 5 (55.6%) | 15 (65.2%) | 8 (53.3%) | 4 (50.0%) | 5 (21.7%) |
Diarrhoea | 95 | 50 (52.6%) | 16 (32.0%) | 17 (17.9%) | 10 (58.8%) | 2 (20.0%) | 28 (29.5%) |
Suspected pneumonia | 8 | 2 (25.0%) | 1 (50.0%) | 6 (75.0%) | 4 (66.7%) | 1 (25.0%) | 0 (0%) |
Abdominal pain | 47 | 25 (53.2%) | 4 (16.0%) | 7 (14.9%) | 5 (71.4%) | 1 (20.0%) | 15 (31.9%) |
SM | p | SMA | p | Stock | p | Demand | p | Prophylaxis | p | |
---|---|---|---|---|---|---|---|---|---|---|
Universities | 0.001 | 0.082 | 0.010 | 0.006 | 0.001 | |||||
Lanzhou | 59 (20.2%) | 20 (6.9%) | 191 (65.4%) | 55 (18.8%) | 58 (19.9%) | |||||
Nankai | 62 (22.1%) | 15 (5.3%) | 201 (71.5%) | 29 (10.3%) | 29 (10.3%) | |||||
Jilin | 45 (13.2%) | 14 (4.1%) | 215 (63.1%) | 61 (17.9%) | 53 (15.5%) | |||||
Wuhan | 33 (10.9%) | 9 (3.0%) | 171 (56.4%) | 33 (10.9%) | 33 (10.9%) | |||||
Zhejiang | 44 (14.6%) | 7 (2.3%) | 192 (63.6%) | 42 (13.9%) | 44 (14.6%) | |||||
Guizhou | 42 (14.0%) | 12 (4.2%) | 196 (65.3%) | 53 (17.7%) | 62 (20.7%) | |||||
Age (years) | 0.947 | 0.440 | 0.002 | 0.061 | 0.097 | |||||
16–20 | 114 (15.9%) | 35 (4.9%) | 464 (64.7%) | 90 (12.6%) | 125 (17.4%) | |||||
21–25 | 153 (15.6%) | 36 (3.7%) | 607 (61.9%) | 163(16.6%) | 140 (14.3%) | |||||
26–40 | 18 (14.8%) | 6 (4.9%) | 95 (77.9%) | 20 (16.4%) | 14 (11.5%) | |||||
Sex | 0.455 | 0.470 | 0.021 | 0.662 | 0.065 | |||||
Male | 98 (14.8%) | 25 (3.8%) | 401 (60.7%) | 96 (14.5%) | 115 (17.4%) | |||||
Female | 187 (16.2%) | 52 (4.5%) | 765 (66.1%) | 177 (15.3%) | 164 (14.2%) | |||||
Study year | 0.327 | 0.654 | 0.412 | 0.001 | 0.101 | |||||
Uy1–Uy3 | 78 (16.8%) | 20 (2.5%) | 494 (63.4%) | 40 (14.7%) | 147 (18.9%) | |||||
Uy4–Uy8 | 112 (19.5%) | 38 (3.4%) | 290 (62.4%) | 532 (68.3.%) | 68 (14.1%) | |||||
Education level | 0.480 | 0.277 | 0.158 | 0.131 | 0.016 | |||||
Diploma-B. A | 200 (16.1%) | 57 (4.6%) | 784 (63.0%) | 176 (14.2%) | 208 (16.7%) | |||||
Master/PhD | 85(14.8%) | 20 (3.5%) | 382 (66.4%) | 97 (16.9%) | 71 (12.4%) | |||||
Father with medical background | 0.042 | 0.081 | 0.036 | 0.558 | 0.111 | |||||
Yes | 24 (22.6%) | 8 (7.6%) | 78(73.6%) | 18 (16.9%) | 22 (20.8%) | |||||
No | 261 (15.2%) | 69 (4.0%) | 1088 (63.5%) | 255 (14.9%) | 257 (15.0%) | |||||
Mother with Medical background | <0.001 | 0.008 | <0.001 | 0.675 | 0.123 | |||||
Yes | 34 (27.4%) | 11 (8.9%) | 100 (80.7%) | 17(13.7%) | 25 (20.2%) | |||||
No | 251 (14.8%) | 66 (3.9%) | 1066 (62.9%) | 256 (15.1%) | 254 (15.0%) | |||||
Father’s education level | <0.001 | 0.020 | <0.001 | 0.192 | 0.919 | |||||
No college | 177 (13.2%) | 48 (3.6%) | 811 (60.5%) | 210 (15.7%) | 205 (15.3%) | |||||
College | 108 (22.6%) | 29 (6.1%) | 355 (74.3%) | 63 (13.2%) | 74 (15.5%) | |||||
Mother’s education level | <0.001 | 0.007 | <0.001 | 0.082 | 0.988 | |||||
No college | 203 (14.0%) | 52 (3.6%) | 898 (62%) | 228(15.8%) | 222 (15.3%) | |||||
College | 82 (22.1%) | 25 (6.8%) | 268 (72.2%) | 45 (12.1%) | 57 (15.4%) | |||||
Household income (Monthly) | 0.014 | 0.015 | 0.383 | 0.177 | 0.040 | |||||
High | 232 (14.8%) | 59 (3.8%) | 997 (63.7%) | 242 (15.5%) | 251 (16.0%) | |||||
Low | 53 (20.9%) | 18 (7.1%) | 169 (66.5%) | 31 (12.2%) | 28 (11.0%) | |||||
Hometown | <0.001 | 0.041 | <0.001 | 0.263 | 0.016 | |||||
Rural | 108 (11.8%) | 30 (3.3%) | 523 (57.1%) | 146 (15.9%) | 159 (17.4%) | |||||
Urban | 177 (19.6%) | 47 (5.2%) | 643 (71.2%) | 127 (14.1%) | 120 (13.3%) | |||||
KAP score | 0.219 | 0.091 | 0.131 | 0.025 | <0.001 | |||||
0–7 | 15 (17.7%) | 7 (8.2%) | 49 (57.7%) | 20 (23.5%) | 25 (29.4%) | |||||
8–12 | 168 (16.8%) | 45 (4.5%) | 659 (65.9%) | 157 (15.7%) | 169 (16.9%) | |||||
13–15 | 102 (13.9%) | 25 (3.4%) | 458 (62.3%) | 96 (13.1%) | 85 (11.6%) |
SM | Stock | Demand | SMA | Prophylaxis | ||||||
---|---|---|---|---|---|---|---|---|---|---|
Factors | aOR (95% CI) | p | aOR (95% CI) | p | aOR (95% CI) | p | aOR (95% CI) | p | aOR (95% CI) | p |
Sex | ||||||||||
Female | 1.20 (1.04–1.56) | 0.02 | ||||||||
Male | ref | |||||||||
Age | ||||||||||
21–30 | 1.50 (1.00–2.20) | 0.049 | ||||||||
31–40 | 1.50 (0.75–2.90) | 0.264 | ||||||||
Father’s educational level | ||||||||||
Above college | 1.50 (0.99–1.20) | 0.052 | 1.60 (1.10–2.30) | 0.007 | ||||||
Less college | ref | ref | ||||||||
Hometown | 1.50 (1.10–2.00) | 0.012 | ||||||||
Urban | 1.60 (1.20–1.90) | <0.001 | 0.69 (0.50–0.94) | 0.019 | ||||||
Rural | ref | ref | ref | |||||||
Mother with medical background | ||||||||||
No | 0.62 (0.39–0.99) | 0.049 | 0.53 (0.32–0.88) | 0.014 | ||||||
Yes | ref | ref | ||||||||
KAP score | ||||||||||
8–12 | 0.58 (0.34–0.98) | 0.045 | 0.52 (0.22–1.22) | 0.132 | 0.52 (0.32–0.86) | 0.011 | ||||
12–15 | 0.46 (0.26–0.81) | 0.007 | 0.37 (0.15–0.91) | 0.031 | 0.35 (0.21–0.60) | <0.001 | ||||
0–7 | ref | ref | ref |
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Hu, Y.; Wang, X.; Tucker, J.D.; Little, P.; Moore, M.; Fukuda, K.; Zhou, X. Knowledge, Attitude, and Practice with Respect to Antibiotic Use among Chinese Medical Students: A Multicentre Cross-Sectional Study. Int. J. Environ. Res. Public Health 2018, 15, 1165. https://doi.org/10.3390/ijerph15061165
Hu Y, Wang X, Tucker JD, Little P, Moore M, Fukuda K, Zhou X. Knowledge, Attitude, and Practice with Respect to Antibiotic Use among Chinese Medical Students: A Multicentre Cross-Sectional Study. International Journal of Environmental Research and Public Health. 2018; 15(6):1165. https://doi.org/10.3390/ijerph15061165
Chicago/Turabian StyleHu, Yanhong, Xiaomin Wang, Joseph D. Tucker, Paul Little, Michael Moore, Keiji Fukuda, and Xudong Zhou. 2018. "Knowledge, Attitude, and Practice with Respect to Antibiotic Use among Chinese Medical Students: A Multicentre Cross-Sectional Study" International Journal of Environmental Research and Public Health 15, no. 6: 1165. https://doi.org/10.3390/ijerph15061165
APA StyleHu, Y., Wang, X., Tucker, J. D., Little, P., Moore, M., Fukuda, K., & Zhou, X. (2018). Knowledge, Attitude, and Practice with Respect to Antibiotic Use among Chinese Medical Students: A Multicentre Cross-Sectional Study. International Journal of Environmental Research and Public Health, 15(6), 1165. https://doi.org/10.3390/ijerph15061165