| Literature DB >> 31546812 |
Mainul Haque1, Nor Azlina A Rahman2, Judy McKimm3, Massimo Sartelli4, Golam Mohammad Kibria5, Md Zakirul Islam6, Siti Nur Najihah Binti Lutfi7, Nur Syamirah Aishah Binti Othman8, Shahidah Leong Binti Abdullah9.
Abstract
Background: Antimicrobial prescribing behaviors are often influenced by the local culture and prescribing appropriateness of medical doctors and other health care professionals. Globally, antimicrobial utilization practices have a profound impact on antimicrobial resistance and are a tremendous public health concern. The aim of this survey was to explore the knowledge and attitudes of medical students from the National Defence University of Malaysia regarding antimicrobial usage and antimicrobial resistance. Research design and methods: This was a cross-sectional study. The study population consisted of undergraduate medical students in each year group from the National Defence University of Malaysia. Students receive limited formal training on the use of antibiotics in their curriculum, and most of this learning is opportunistic whilst on clinical placement. Universal sampling was used as the study population was small. Data were collected utilizing a previously validated instrument regarding antibiotic use. Simple descriptive statistics were used to generate frequencies and percentages with SPSS V21. This research was approved by the Centre for Research and Innovation Management, National Defence University of Malaysia.Entities:
Keywords: Malaysia; antibiotic; antibiotic resistance; antimicrobial; antimicrobial resistance; attitude; knowledge; medical students; practice; use
Year: 2019 PMID: 31546812 PMCID: PMC6784178 DOI: 10.3390/antibiotics8030154
Source DB: PubMed Journal: Antibiotics (Basel) ISSN: 2079-6382
Distribution of the respondents’ socio-demographic factors (n = 204).
| Frequency | Percentage | |
|---|---|---|
|
| ||
| Male | 110 | 53.9 |
| Female | 94 | 46.1 |
|
| ||
| Malay | 140 | 68.9 |
| Chinese | 18 | 8.8 |
| Indian | 41 | 20.1 |
| Others | 5 | 2.5 |
|
| ||
| Yes | 57 | 27.9 |
| No | 147 | 72.1 |
|
| ||
| 1 | 56 | 27.5 |
| 2 | 39 | 19.1 |
| 3 | 39 | 19.1 |
| 4 | 33 | 16.2 |
| 5 | 37 | 18.1 |
|
| ||
| Cadet officer | 100 | 49.3 |
| Territorial army | 28 | 13.8 |
| Civil student | 75 | 36.9 |
|
| ||
| A | 20 | 9.8 |
| B | 150 | 73.5 |
| C | 34 | 16.7 |
a with one missing value.
Knowledge about antibiotics (n = 204).
| Questions on Knowledge about Antibiotic | Totally Disagree | Disagree | Agree | Totally Agree |
|---|---|---|---|---|
| ● Penicillin or Amoxicillin are antibiotics a | 9 (4.4) | 14 (6.9) | 31 (15.3) | 149 (73.4) |
| ● Aspirin is an antibiotic | 142 (69.6) | 24 (11.8) | 29 (14.2) | 9 (4.4) |
| ● Paracetamol is an antibiotic | 157 (77.0) | 16 (7.8) | 15 (7.4) | 16 (7.8) |
| ● Antibiotics are useful for bacterial infections (e.g., tuberculosis) | 11 (5.4) | 13 (6.4) | 31 (15.2) | 149 (73.0) |
| ● Antibiotics are useful for viral infections (e.g., flu) | 108 (52.9) | 26 (12.7) | 29 (14.2) | 41 (20.1) |
| ● Antibiotics are indicated to reduce any kind of pain and inflammation | 102 (50.0) | 42 (20.6) | 37 (18.1) | 23 (11.3) |
| ● Antibiotics can kill “good bacteria” present in our system | 29 (14.2) | 53 (26.0) | 54 (26.5) | 68 (33.3) |
| ● Antibiotics can cause secondary infections after killing good bacteria present in our system | 26 (12.7) | 63 (30.9) | 59 (28.9) | 56 (27.5) |
| ● Antibiotics can cause allergic reactions | 5 (2.5) | 19 (9.3) | 57 (27.9) | 123 (60.3) |
a with one missing value.
Figure 1The sources of information on antibiotic resistance besides formal teaching (n = 153).
Awareness of antibiotic resistance (n = 204).
| Totally Disagree | Disagree | Agree | Totally Agree | |
|---|---|---|---|---|
| ● Antibiotic resistance is a phenomenon for which a bacterium loses its sensitivity to an antibiotic. | 6 (2.9) | 20 (9.8) | 41 (20.1) | 137 (67.2) |
| ● Misuse of antibiotics can lead to a loss of sensitivity of an antibiotic to a specific pathogen. | 5 (2.5) | 24 (11.8) | 52 (25.5) | 123 (60.3) |
| ● If symptoms improve the full course of antibiotics is completed, you can stop taking it. | 137 (67.2) | 22 (10.8) | 25 (12.3) | 20 (9.8) |
Attitudes regarding personal consumption of antibiotics (n = 204).
| Questionnaire on Attitudes Regarding Antibiotic Consumption | Yes | No |
|---|---|---|
| ● Do you usually take antibiotics for cold or sore throat? | 46 (22.5) | 158 (77.5) |
| ● Do you usually take antibiotics for fever? | 80 (39.2) | 124 (60.8) |
| ● Do you usually stop taking antibiotics when you start feeling better? | 67 (32.8) | 137 (67.2) |
| ● Do you take antibiotic only when prescribed by the doctor? | 179 (87.7) | 25 (12.3) |
| ● Do you keep leftovers antibiotics at home because they might be useful in the future? | 68 (33.3) | 136 (66.7) |
| ● Do you use leftovers antibiotics when you have a cold, sore throat or flu without consulting your doctor? | 46 (22.5) | 158 (77.5) |
| ● Do you buy antibiotics without a medical receipt? | 23 (11.3) | 181 (88.7) |
| ● Have you ever started an antibiotic therapy after a simple doctor call, without a proper medical examination? | 34 (16.7) | 170 (83.3) |
Chi-square test on factors associated with the usage of antibiotics (n = 204).
| Variables | Use Antibiotic in the Previous Year | Chi-Square Value (df a) | ||
|---|---|---|---|---|
| Yes | No | |||
| Gender | ||||
| Male | 75 (56.4) | 35 (49.3) | 0.938 | 0.333 |
| Female | 58 (43.6) | 36 (50.7 | (1) | |
| Race | ||||
| Malay | 88 (66.2) | 52 (73.2) | 1.076 | 0.300 |
| Others b | 45 (33.8) | 19 (26.8) | (1) | |
| Had relatives working in the health field | ||||
| Yes | 39 (29.3) | 18 (25.4) | 0.363 | 0.547 |
| No | 94 (70.7) | 53 (74.6) | (1) | |
| Year of study | ||||
| 1 | 44 (33.1) | 12 (16.9) | 11.270 | 0.024 |
| 2 | 28 (21.1) | 11 (15.5) | (4) | |
| 3 | 25 (18.8) | 14 (19.7) | ||
| 4 | 16 (12.0) | 17 (23.9) | ||
| 5 | 20 (15.0) | 17 (23.9) | ||
| Type of admission c | ||||
| Cadet officer | 57 (43.2) | 43 (60.6) | 5.996 | 0.050 |
| Territorial army | 19 (14.4) | 9 (12.7) | (2) | |
| Civil student | 56 (42.4) | 19 (26.8) | ||
| Latest academic grade | ||||
| A | 13 (9.8) | 7 (9.9) | 2.770 | 0.250 |
| B | 102 (76.7) | 48 (67.6) | (2) | |
| C | 18 (13.5) | 16 (22.5) | ||
a df = degree of freedom; b Chinese, Indian and other races; c with one missing value.
Figure 2Distribution of use of antibiotic in the previous year within different years of study (n = 204).
Figure 3Distribution of use of antibiotic in the previous year within different types of admission (n = 204).
Association between total knowledge and attitude scores with age, year of study, and examination grade using the Pearson correlation test (n = 204).
| Variables | Total Knowledge Score | Total Attitude Score | ||
|---|---|---|---|---|
| Age | 0.568 | <0.001 | 0.252 | <0.001 |
| Year of Study | 0.572 | <0.001 | 0.258 | <0.001 |
| Grade | 0.038 | 0.591 | −0.112 | 0.109 |
Comparing total knowledge and attitude scores between different genders and having relatives working in the health field using independent t-test (n = 204). * SD = standard deviation.
| Variables | Total Knowledge Score | Total Attitude Score | ||
|---|---|---|---|---|
| Mean (SD *) | Mean (SD) | |||
| Gender | ||||
| Male ( | 39.7 (5.59) | 0.598 | 14.0 (1.89) | 0.348 |
| Female ( | 39.2 (6.43) | 14.2 (1.75) | ||
| Had relatives working in health field | ||||
| Yes ( | 39.7 (5.50) | 0.688 | 14.1 (1.81) | 0.819 |
| No ( | 39.4 (6.17) | 14.1 (1.84) | ||
Simple logistic regression on factors associated with antibiotic consumption (n = 204).
| Variables | Stopping Antibiotic when Feeling Better | Keeping Leftover Antibiotics for Future Use | Using Leftover Antibiotics without a Doctor’s Consultation | |||
|---|---|---|---|---|---|---|
| OR (95% C.I.) | OR (95% C.I.) | OR (95% C.I.) | ||||
| Age * | 0.782 (0.636, 0.961) |
| 0.929 (0.762, 1.132) | 0.463 | 0.767 (0.606, 0.971) |
|
| Year of study * | 0.767 (0.622, 0.946) |
| 0.926 (0.758, 1.132) | 0.456 | 0.769 (0.606, 0.976) |
|
| Exam grade * | 1.228 (0.692, 2.181) | 0.483 | 1.447 (0.813, 2.576) | 0.209 | 1.515 (0.793, 2.894) | 0.208 |
| Total knowledge Score * | 0.906 (0.860, 0.954) |
| 0.972 (0.926, 1.021) | 0.257 | 0.880 (0.829, 0.934) |
|
| Gender | ||||||
| Male # | 1 | 1.000 | 1 | 1.000 | 1 | 1.000 |
| Female | 0.827 (0.460, 1.485) | 0.525 | 0.789 (0.440, 1.415) | 0.427 | 1.622 (0.826, 3.185) | 0.160 |
| Relatives working in health-related field | ||||||
| No # | 1 | 1.000 | 1 | 1.000 | 1 | 1.000 |
| Yes | 1.533 (0.777, 3.024) | 0.218 | 0.806 (0.425, 1.528) | 0.508 | 0.855 (0.416, 1.754) | 0.669 |
| Heard about antibiotic resistance | ||||||
| No # | 1 | 1.000 | 1 | 1.000 | 1 | 1.000 |
| Yes | 2.508 (1.075, 5.850) |
| 1.391 (0.589, 3.284) | 0.452 | 2.159 (0.884, 5.274) | 0.091 |
| Discussed about antibiotic resistance | ||||||
| No # | 1 | 1.000 | 1 | 1.000 | 1 | 1.000 |
| Yes | 1.538 (0.832, 2.842) | 0.170 | 1.000 (0.537, 1.863) | 1.000 | 1.662 (0.843, 3.277) | 0.142 |
* Treated as continuous variables; OR = Odds Ratio; C.I. = Confidence Interval; ** Significant at a multivariate level using multiple logistic regression; # Control group. Bold is significant.