| Literature DB >> 35677264 |
Gowranga Kumar Paul1, Md Shalauddin Swapon1, K M Kaderi Kibria2.
Abstract
BACKGROUND: The prevalence of self-medication is high in Bangladesh due to easy access and poor regulatory controls over these drugs. Our study aimed to assess the attitude of university students in Bangladesh toward antibiotic usage, especially their knowledge and awareness about antibiotics and their resistance. We also evaluated the determinants behind their attempts at drug intake without prescription.Entities:
Keywords: Antibiotics; Bangladesh; knowledge; prescription; prevalence; resistance; self-medication; student
Year: 2022 PMID: 35677264 PMCID: PMC9170193 DOI: 10.4103/jehp.jehp_602_21
Source DB: PubMed Journal: J Educ Health Promot ISSN: 2277-9531
Frequency distribution of different variables
| Variables | Frequency (%) |
|---|---|
| Gender | |
| Male | 137 (68.5) |
| Female | 63 (31.5) |
| Age | |
| 18-20 | 45 (22.5) |
| 20-22 | 66 (33.0) |
| 22-24 | 69 (34.5) |
| >24 | 20 (10.0) |
| Cause of being antibiotic resistance | |
| Self-medication | 38 (19.0) |
| Not completing the dosages | 96 (48.0) |
| Using antibiotic repeatedly | 43 (21.5) |
| Others | 23 (11.5) |
| Antibiotic satisfaction level | |
| Excellent | 6 (3.0) |
| Satisfactory | 109 (54.5) |
| Good result | 78 (39.0) |
| No result | 7 (3.5) |
| Reason to use antibiotic without prescription | |
| Previous experience | 95 (47.5) |
| Mild disease | 11 (5.5) |
| Save time and money | 34 (17.0) |
| Emergency use | 60 (30.0) |
| Last use antibiotic | |
| <3 month | 36 (18.0) |
| Between 3 and 6 months | 49 (24.5) |
| Between 6 to 12 month | 27 (13.5) |
| >1 year | 88 (44.0) |
| Steps in adverse reaction of antibiotic | |
| Did not face adverse reaction | 83 (41.5) |
| Consult with a doctor | 68 (34.0) |
| Consult with pharmacy stuff | 12 (6.0) |
| Stop taking antibiotic | 15 (7.5) |
| Nothing | 22 (11.0) |
| Total | 200 (100.0) |
Figure 1Frequency distribution of different factors for antibiotic use. (a) Keep antibiotic for future use, (b) Know the term antibiotic resistance, (c) Reasons for using antibiotic last time, and (d) Antibiotics used by self-medication
Correspondence analysis to understand the knowledge about antibiotic resistance
| Variables | Opinion |
|
| ||||
|---|---|---|---|---|---|---|---|
|
| |||||||
| Disagree strongly | Disagree slightly | Neutral | Agree slightly | Agree strongly | |||
| People should use antibiotic prescribed by a doctor all the time | 14 | 8 | 11 | 37 | 130 | 58.922 | <0.001 |
| Unnecessary use of antibiotic makes them inactive | 3 | 9 | 17 | 34 | 137 | ||
| People should not change the dosage of antibiotic without doctor advice | 1 | 7 | 18 | 21 | 153 | ||
| Excessive use of antibiotics on poultry and livestock is responsible for the spread of antibiotics in the human body | 0 | 8 | 23 | 55 | 114 | ||
| Antibiotic resistance would arise if a full course of antibiotic was not complete | 7 | 7 | 23 | 50 | 113 | ||
Summary table of correspondence analysis
| Dimension | Singular value | Inertia | Proportion of Inertia | Confidence singular value | ||
|---|---|---|---|---|---|---|
|
|
| |||||
| Accounted for | Cumulative | SD | Correlation 2 | |||
| 1 | 0.171 | 0.029 | 0.498 | 0.498 | 0.031 | 0.156 |
| 2 | 0.168 | 0.028 | 0.480 | 0.978 | 0.027 | |
| 3 | 0.035 | 0.001 | 0.021 | 0.998 | ||
| 4 | 0.011 | 0.000 | 0.002 | 1.000 | ||
| Total | 0.059 | 1.000 | 1.000 | |||
SD: Standard deviation
Figure 2Scatter plot for row and column points, analyzed by R programming. AB, Antibiotics. Here, Course_AB, People should use antibiotic prescribed by a doctor all the time; Use_AB, Unnecessary use of antibiotic makes them inactive; Change_AB, People should not change the dosage of antibiotic without doctor advice; Livestock_AB, Excessive use of antibiotic on poultry and livestock's are spread on human body; and Inactive_AB, Antibiotic resistance would arise if a full course of antibiotic was not complete
Multinomial logistic regression to calculate odds ratio of risk factors associated with buying antibiotics
| Variable |
| SE | Wald | Significant | Exp (B) | 95% CI for EXP (B) | |
|---|---|---|---|---|---|---|---|
|
| |||||||
| Lower | Upper | ||||||
|
| |||||||
|
| |||||||
| Intercept | 3.270 | 0.945 | 11.965 | 0.001 | |||
| Knowledge about antibiotic resistance | |||||||
| Yes | 0.244 | 0.860 | 0.080 | 0.777 | 1.276 | 0.237 | 6.879 |
| No® | |||||||
| Change the prescribed antibiotic without doctor’s advice | |||||||
| Yes | 1.126 | 0.859 | 1.717 | 0.190 | 3.083 | 0.572 | 16.611 |
| No® | |||||||
| Follow antibiotic course as prescribed | |||||||
| Yes | -2.572 | 0.897 | 8.227 | 0.004 | 0.076 | 0.013 | 0.443 |
| No® | |||||||
|
| |||||||
|
| |||||||
|
| |||||||
| Intercept | 1.020 | 1.084 | 0.885 | 0.347 | |||
| Knowledge about antibiotic resistance | |||||||
| Yes | 1.630 | 0.994 | 2.688 | 0.101 | 5.102 | 0.727 | 35.793 |
| No® | |||||||
| Change the prescribed antibiotic without doctor’s advice | |||||||
| Yes | 0.415 | 0.937 | 0.196 | 0.658 | 1.514 | 0.241 | 9.501 |
| No® | |||||||
| Follow antibiotic course as prescribed | |||||||
| Yes | -2.397 | 1.025 | 5.467 | 0.019 | 0.091 | 0.012 | 0.679 |
| No® | |||||||
|
| |||||||
|
| |||||||
|
| |||||||
| Intercept | -0.524 | 1.422 | 0.136 | 0.713 | |||
| Knowledge about antibiotic resistance | |||||||
| Yes | 2.208 | 1.338 | 2.722 | 0.099 | 9.099 | 0.660 | 125.368 |
| No® | |||||||
| Change the prescribed antibiotic without doctor’s advice | |||||||
| Yes | 0.099 | 1.059 | 0.009 | 0.925 | 1.104 | 0.139 | 8.795 |
| No® | |||||||
| Follow antibiotic course as prescribed | |||||||
| Yes | -1.435 | 1.119 | 1.644 | 0.200 | 0.238 | 0.027 | 2.135 |
| No® | |||||||
Model Fit: −2 Log Likelihood 58.138, LRT P (Know_ABR: 0.008, Course_AB: 0.175, Change_AB: 0.015), Classification overall percentage: 77.5. SE=Standard error, CI=Confidence interval; ® indicates reference category.