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Article

Antimicrobial Prescribing Confidence and Knowledge Regarding Drug Resistance: Perception of Medical Students in Malaysia and the Implications

by
Mainul Haque
1,*,
Tasim Ara
2,
Md. Ahsanul Haq
3,
Halyna Lugova
4,
Siddhartha Dutta
5,
Nandeeta Samad
6,
Abdullahi Rabiu Abubakar
7,
Sharifah Shasha Binti Syed Mohdhar
8,
Md. Mahabubur Rahman
2,
Salequl Islam
9,
Nihad Adnan
9,
Rahnuma Ahmad
10,
Shahidah Leong Binti Abdullah
11,
Mohd Hafizi Bin Ismail
12 and
Brian Godman
13,14,15
1
Unit of Pharmacology, Faculty of Medicine and Defence Health, Universiti Pertahanan Nasional Malaysia (National Defence University of Malaysia), Kem Perdana Sungai Besi, Kuala Lumpur 57000, Malaysia
2
Institute of Statistical Research and Training, University of Dhaka, Dhaka 1000, Bangladesh
3
Gonoshasthaya-RNA Molecular Diagnostic & Research Center, Dhanmondi, Dhaka 1205, Bangladesh
4
Unit of Community Medicine, Faculty of Medicine and Defence Health, National Defence University of Malaysia Kuala Lumpur 51000, Malaysia
5
Department of Pharmacology, All India Institute of Medical Sciences, Rajkot 360001, Gujarat, India
6
Department of Public Health, North South University, Dhaka 1229, Bangladesh
7
Department of Pharmacology and Therapeutics, Faculty of Pharmaceutical Sciences, Bayero University, PMB 3452, Kano 700233, Nigeria
8
Unit of Internal Medicine, Faculty of Medicine and Defence Health, Universiti Pertahanan Nasional Malaysia (National Defence University of Malaysia), Kem Perdana Sungai Besi, Kuala Lumpur 57000, Malaysia
9
Department of Microbiology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh
10
Department of Physiology, Medical College for Women and Hospital, Plot No 4 Road-8/9, Sector-1, Dhaka 1230, Bangladesh
11
Unit of Military Medicine, Faculty of Medicine and Defence Health, Universiti Pertahanan Nasional Malaysia (National Defence University of Malaysia), Kem Perdana Sungai Besi, Kuala Lumpur 57000, Malaysia
12
Unit of Administration, Faculty of Medicine and Defence Health, Universiti Pertahanan Nasional Malaysia (National Defence University of Malaysia), Kem Perdana Sungai Besi, Kuala Lumpur 57000, Malaysia
13
Department of Pharmacoepidemiology, Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK
14
Centre of Medical and Bio-allied Health Sciences Research, Ajman University, Ajman 13306, United Arab Emirates
15
Division of Public Health Pharmacy and Management, School of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria 0208, South Africa
 
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Author to whom correspondence should be addressed.
Antibiotics 2022, 11(5), 540; https://doi.org/10.3390/antibiotics11050540
Submission received: 18 March 2022 / Revised: 15 April 2022 / Accepted: 17 April 2022 / Published: 19 April 2022
(This article belongs to the Special Issue Antibiotics in Health and Diseases)
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Abstract

:
Background: Worldwide, microbes are becoming more challenging by acquiring virulent skills to adapt and develop antimicrobial resistance (AMR). This is a concern as AMR increases morbidity, mortality, and costs. Consequently, physicians need to be trained on appropriate antimicrobial prescribing, starting as medical students. Objective: To evaluate medical students’ confidence in antimicrobial prescribing and AMR. Methods: Cross-sectional study assessing medical students’ knowledge, perception, and confidence in prescribing antimicrobials and AMR in a Malaysian University. A universal sampling method was used. Results: Most responding students believed that educational input regarding overall prescribing was sufficient. Regarding the principle of appropriate and accurate prescriptions, female medical students had less knowledge (odds ratio (OR) = 0.51; 95% confidence interval (CI) 0.25–0.99; p = 0.050). Year-IV and Year-V medical students had more excellent knowledge than Year-III students regarding confidence in potential antibiotic prescribing once qualified. Year-V students also showed an appreciably higher confidence in the broad principles of prescribing, including antibiotics for infectious diseases, compared to those in other years. Conclusion: Overall, medical students gain more knowledge and confidence regarding the potential prescribing of antimicrobials as their academic careers progress. This is important given concerns with the current excessive use of antimicrobials in Malaysia.

1. Introduction

Microorganisms, including bacteria, viruses, fungi, and other parasites, have increasingly adapted and become resistant to commonly prescribed antimicrobials [1,2]. Drug resistome is a vigorous and escalating public-health concern [3]. The resistome encompasses all antimicrobial resistance (AMR) genes and contains resistance genetic components found equally among pathogens and antimicrobial-producing microbes, with enigmatic resistance genes present in microbial chromosomes [4]. Increasing AMR is fueled by excessive and inappropriate use of antimicrobials [5,6,7,8]. Other factors increasing AMR include overpopulation, excessive self-purchasing of antibiotics without a prescription for self-limiting conditions including upper respiratory tract infections, traveling, water pollution, and a lack of hygiene and water sanitation [3,9,10,11,12].
This is a concern as AMR increases morbidity, mortality, and costs [13,14,15]. There were an estimated 4.95 million deaths worldwide in 2019 associated with bacterial AMR, highest in sub-Saharan Africa and South Asia, and rising [16]. The World Bank believes the annual worldwide GDP would decrease by 1.1% in a low-impact AMR scenario by 2050, potentially up to 3.8% in a high-impact AMR scenario and possibly over 5% [13]. As a result, the cost of dealing with the consequences of AMR could possibly increase from $300 billion per year currently to more than $1 trillion per year by 2050 [14,17].
Consequently, there is an urgent need for coordinated approaches to combat rising AMR rates and the implications, especially among low- and middle-income countries (LMICs), which include improved antimicrobial stewardship programs (ASPs) [16,18,19,20]. Microbes can easily cross geographical borders, with resistant microbes affecting both high-income countries (HICs) as well as LMICs, although more significant in LMICs [16,20]. The growing awareness of the clinical and economic costs of AMR have resulted in global and national action plans to reduce AMR coordinated by the WHO and others [16,20,21,22]. This includes Malaysia, which has growing AMR rates and concerns with appropriate antimicrobial prescribing across sectors [20,23,24,25,26,27,28]
Improving medical students’ knowledge regarding antibiotics and AMR are essential to enhance appropriate antimicrobial prescribing following graduation, achieved through ASPs and other programs [29,30,31,32]. A comprehensive understanding of the pathophysiology of diseases as well as clinical pharmacology and therapeutics, are also indispensable to improve their prescribing practices post-qualification along with quality targets [33,34,35,36]. Moreover, any healthcare professionals’ (HCP) purpose of treating a patient should be documented in their notes and duly signed, ideally in line with current prescribing guidance [36,37]. Their confidence with prescribing decisions will be enhanced by appropriate training at university.
In both public and private primary health care settings in Malaysia and emergency departments, antimicrobials are often prescribed for self-limiting diseases including upper respiratory tract infections (URTIs) [27,28,38,39,40]. However, this was more noticable in the private health care system, potentially enhanced by financial considerations including fees from dispensing as well as more significant patient pressures [28,38,41]. Long waiting times to see HCPs in primary healthcare clinics (PHCs) in Malaysia further adds to the pressure on HCPs to prescribe antimicrobials rather than spend valuable time providing an explanation why they are reluctant to prescribe [14,27,32,42,43,44,45]. This is a concern given rising AMR rates in Malaysia [24,46,47,48,49,50,51]. HCPs, including physicians, are a key stakeholder group to target as they can appreciably influence antimicrobial utilization patterns in Malaysia. This is similar to other LMICs, with prescribing being a significant activity among ambulatory care physicians [52]. Encouragingly, multiple interventions, including educational interventions, can reduce unnecessary prescribing of antibiotics for essentially viral infections, including URTIs, among physicians in LMICs [14,32,53]. This should be borne in mind during undergraduate teaching and followed-up postqualification.
However, it has been reported that Malaysian university students, including medical students, often take antimicrobials without any prescription [54]. This is despite such activities being against current regulations; however, this still happens among the general population [54,55,56]. In addition, there are ongoing concerns across countries, including Malaysia, that inappropriate dispensing of antibiotics without a prescription appreciably adds to growing AMR rates [14,32,54,57]. Earlier studies also showed that whilst medical students in Malaysia possess a sound knowledge about prescribing, including antimicrobials, they felt there was a gap between theoretical and practical clinical pharmacology input. In view of this, they suggested additional teaching-learning hours regarding prescribing skills, including antimicrobials, should be built into the curriculum [58,59]. This is because inadequate knowledge can enhance irrational prescribing post-qualification, which is challenging to redress. Consequently, it is better to intervene before inappropriate prescribing habits start to develop during studentship before graduation [58,59], rather than wait post-qualification when poor prescribing habits have become ingrained.
Consequently, we wanted to build on these earlier findings in Malaysia to provide future guidance on the curriculum for medical students going forward. Because of this, this study sought to determine Malaysian medical students’ self-confidence and knowledge in managing infectious diseases and appropriate antimicrobial prescribing, and correlating this with proficiency regarding infectious diseases management, during their clinical training. This study also sought to assess the relative effectiveness of various instruction/teaching delivery modes in gaining and retaining knowledge of medicines and prescribing including antimicrobial prescribing. The combined findings can help improve physician education in Malaysia and broaden it in the future with increasing challenges from viral and other diseases.

2. Materials and Methods

2.1. Study Design

A cross-sectional study was undertaken to assess medical students’ knowledge and perception of prescribing antimicrobial agents and AMR during their clinical training. A survey questionnaire was employed as a data collection tool among Year-III–V medical students.

2.2. Study Population

The study population was Year-III–V medical students of the Faculty of Medicine and Defence Health, Universiti Pertahanan Nasional Malaysia ((UPNM) the National Defence University of Malaysia), Kem Perdana Sungai Besi, Kuala Lumpur, Malaysia. This study comprised three ethnic groups: Malay, Chinese, and Indian. There are currently three categories of medical students admitted to UPNM. Those are cadet officers, territorial army, and civilians.

2.3. Study Period

The data collection exercise was undertaken between 7 January 2018 and 21 March 2019, i.e., before the COVID-19 pandemic with its restrictions on university education [60,61,62,63]. Year-III clinical students were initially unavailable on campus during the initial data collection period. Similarly, other students were away at various times for clinical activities necessitating an extended period for data collection.

2.4. Sampling Method and Sample Size

The survey was conducted using a universal sampling method comprised of all Year-III, Year-IV, and Year-V medical students from 2018 to 2019 academic sessions. The research group distributed 155 study instruments among clinical Year-III, Year-IV, and Year-V students during the principal study, and 15 were dispersed during the pretested phase. A total of 170 study instruments were distributed.

2.5. Data Collection Tool (Questionnaire)

The data were collected using a validated questionnaire on antimicrobial prescribing knowledge, and perception was determined based on a previous study conducted by Weier et al. (2017) [64]. The study instrument was subsequently pretested and validated for the local context in Malaysia. Five medical students in each of the clinical years (5 × 3 = 15) participated in the questionnaire validation process. They did not participate in the principal study.
The questionnaire comprised six (6) sections, A to F: section A: demographic information; section B: sufficiency of education and confidence in their knowledge; section C: modes of teaching and confidence in clinical situations; section D: perceptions of antimicrobial resistance (AMR); section E: knowledge of prescribing guidelines; section F: demonstration of clinical knowledge. Demographic details included gender, ethnicity, and year of study. This is because studies undertaken among students in Malaysia as well as physicians from other countries have shown these factors impact on antimicrobial prescribing and AMR [16,32,58,65,66,67].

2.6. Survey Reliability

A reliability analysis of the survey tool was undertaken. The Cronbach’s alpha obtained was 0.9 for questions relating to the sufficiency of education, confidence in knowledge in different subject areas, confidence in various clinical situations, and perceptions of AMR.

2.7. Ethical Approval

This research was reviewed and approved by the Institutional Research Ethical Committee from the Centre for Research, Innovation and management, National Defense University, Malaysia (code: UPNM/2019/SF/SKK/04; reference number: UPNP (PPPI) 16.01/06/024 (2), dated 3 January 2019). The participation in this study was completely voluntary and anonymous. Before distributing the instrument, the researchers clearly explained the aim, scope, and future potential issues before every data collection occasion. A printed information sheet was also provided to each student to learn more about the study. Additionally, researchers obtained written consent (approval) before research respondents participated in the pretest and the principal study.

2.8. Data Analysis

The data were entered into an Excel file, which was then transferred into SPSS-22 software (IBM SPSS Statistics for Windows, version 23.0. IBM Corp., Armonk, NY, USA) and with Stata 15 (StataCorp, LP, College Station, TX, USA) for further analysis and the graphs were prepared with GraphPad prism 8.3.0. The significance level was established at p ≤ 0.05. Pearson’s chi-square tests were used to determine the relationship between confidence level in infectious disease knowledge and other variables. A logistic regression model was introduced to explore the predictors of a confident group. Initially, the univariate logistic regression technique analyzed the relationship between several predictors and confidence levels in infectious diseases. Exploratory variables including gender, years of the students, e.g., Years III, IV and V, their ethnicity, and designation in infectious diseases were regressed onto their confidence in infectious diseases knowledge as a response variable. An odds ratio (OR) greater or less than 1 indicated a greater probability or lower probability of being confident in the knowledge of infectious diseases compared to the reference category. Confidence in antibiotic prescribing and knowledge and attitude towards AMR score differences among explanatory variables were assessed by an independent sample t-test.

3. Results

The demographic distribution of the clinical students is contained in Table 1. Among the enrolled students, 47.1% and 52.9% were male and female, respectively. Out of the 140 research respondents, 47.9% were 22 years of age, and 68.6% were Malay. There were 47.9%, 39.3%, and 12.9% civilians, cadet officers, and territorial army students, respectively. The research respondents were from Years III, IV, and V. The response rate was 90.32%. The total study population was 170 (15 (pretest) + 140 (principal study) + 5 (discarded because incomplete data) + 10 (study instrument were not returned)).

3.1. Sufficiency in the Level of Education and Confidence in Knowledge Regarding Prescribing among Students

The majority of the clinical medical students (males = 49.2% and females = 50.9%) felt that their teaching-learning was sufficient for commonly prescribed drugs (Table 2). Similarly, UPNM medical students (males = 52.7% and females = 47.8%) agreed that sufficient formal education and training is currently being provided regarding appropriate and accurate prescription writing principles. Correspondingly, 48.8% of males and 51.2% of females believed their formal education, training, and pharmacological confidence was sufficient (Table 2). Overall, half of the respondents generally agreed that among the key sections, i.e., (i) commonly prescribed drugs, (ii) principles of appropriate and accurate prescription writing, and (iii) infectious diseases, sufficient educational input was given. However, there were statistically significant differences (Table 2) between the genders in appropriate and accurate prescription writing (p = 0.050). Nevertheless, most medical students had confidence in their knowledge level regarding these issues.
Regarding the principles of appropriate and accurate prescription writing, female medical students showed less knowledge (odds ratio (OR) = 0.51; 95% confidence interval (CI) 0.25–0.99; p = 0.050) compared to males (Table 2 and Figure 1). Year-V students had an 8.0 times higher knowledge level (95% CI 1.05–67.4; p = 0.049) than Year-III students (Table 3). All three ethnic groups were overall satisfied regarding their educational input, commonly prescribed drugs (80.2%), principles of appropriate and accurate prescription writing (64.6%), and infectious diseases (89.6%). No statistically significant difference was observed among the ethnic groups in the three components of the formal education and training on pharmacology (Table 4).

3.2. Modes of Teaching and Confidence in Clinical Situations

Both male and female medical students believed that all five modes of teaching, i.e., lectures (89.4%), tutorials/workshops/problem-based learning (PBL) sessions (90.9%), clinical rotations (98.5%), informal education by fellow residents and registrars (87.9%), and attending patient care rounds/clerking/ward rounds (97.0%) were helpful or effective in attaining and improving knowledge about medicine and prescribing (Table 5). There were no statistically significant differences in the mode of teaching and knowledge and prescribing, including antimicrobials. Additionally, there were no statistically significant differences among the genders and the study years concerning the ways of instruction. Year-III, Year-IV, and Year-V medical students were generally satisfied and valued all five different instructional methods (Table 6).
Furthermore, among all three ethnic origins, the majority (84%) stated their trust, usefulness, and satisfaction regarding the five different teaching methods.

3.3. Confidence in Antimicrobial Prescribing

In every aspect of confidence with potential antibiotic prescribing, Year-IV and Year-V students had higher knowledge than Year-III students. Additionally, Year-V students had significantly more knowledge than Year-IV students (Figure 2).
Antibiotics 11 00540 g002 550
Figure 2. Mean difference of confidence in antibiotic prescribing (CAP) among students of different years. Note: ** p = 0.002–0.09 and * p < 0.05. CAP-01: accurately diagnosing community-acquired pneumonia; CAP-02: accurately interpreting pathology and microbiology results; CAP-03: knowing the right regimen (dose, frequency, and route of administration) with antibiotic treatment for a specific indication such as pneumonia or an exacerbation of COPD; CAP-04: knowing the right duration for antibiotic treatment for a specific indication such as pneumonia or an exacerbation of COPD; CAP-05: identifying situations where antibiotic treatment is not necessary; CAP-06: knowing when antibiotic treatment needs to be adjusted, stopped, or other treatments need to be prescribed. Circle, square, and triangles indicate Year-III, Year-IV, and year-V, respectively. While the relative effectiveness of various modes of delivery in gaining and retaining the knowledge of medicines and prescribing was compared with race no significant association was noted (Table 7). Majority student respondent that it was useful to them.
Figure 2. Mean difference of confidence in antibiotic prescribing (CAP) among students of different years. Note: ** p = 0.002–0.09 and * p < 0.05. CAP-01: accurately diagnosing community-acquired pneumonia; CAP-02: accurately interpreting pathology and microbiology results; CAP-03: knowing the right regimen (dose, frequency, and route of administration) with antibiotic treatment for a specific indication such as pneumonia or an exacerbation of COPD; CAP-04: knowing the right duration for antibiotic treatment for a specific indication such as pneumonia or an exacerbation of COPD; CAP-05: identifying situations where antibiotic treatment is not necessary; CAP-06: knowing when antibiotic treatment needs to be adjusted, stopped, or other treatments need to be prescribed. Circle, square, and triangles indicate Year-III, Year-IV, and year-V, respectively. While the relative effectiveness of various modes of delivery in gaining and retaining the knowledge of medicines and prescribing was compared with race no significant association was noted (Table 7). Majority student respondent that it was useful to them.
Antibiotics 11 00540 g002
Table
Table 7. Frequency and odds of student years in the relative effectiveness of various delivery modes in gaining and retaining the knowledge of medicines and prescribing, including but not limited to antibiotics prescribing.
Table 7. Frequency and odds of student years in the relative effectiveness of various delivery modes in gaining and retaining the knowledge of medicines and prescribing, including but not limited to antibiotics prescribing.
MalayChineseIndian
Lectures
 Least useful9 (9.38%)1 (7.69%)5 (16.1%)
 Useful87 (90.6%)12 (92.3%)26 (83.9%)
Tutorials or workshops of PBL sessions
 Least useful9 (9.38%)1 (7.69%)5 (16.1%)
 Useful87 (90.6%)12 (92.3%)26 (83.9%)
Clinical rotations
 Least useful1 (1.04%)2 (15.4%)0
 Useful95 (99.0%)11 (84.6%)31 (100%)
Informal teaching by fellow residents and registrars
 Least useful7 (7.29%)2 (15.4%)3 (9.68%)
 Useful89 (92.7%)11 (84.6%)28 (90.3%)
Attending patient care rounds/ward rounds
 Least useful3 (3.135)2 (15.4%)1 (3.23%)
 Useful93 (96.9%)11 (84.6%)30 (96.8%)
NB: Data were presented as the percentage number in the parenthesis.

3.4. Comparative Confidence in Antimicrobial Prescribing

Year-III and Year-IV students showed the same confidence level in all three components (pharmacology knowledge, principles in prescribing, and infectious diseases). Year-V students showed 4, 5.6, and 5.9 times higher confidence than Year-III students in knowledge regarding the principles in prescribing (95% CI 1.51–11.02; p = 0.006) and prescribing knowledge for infectious diseases (95% CI 1.95–22.2; p = 0.002) (Table 8 and Figure 3) respectively. Malay and Chinese students showed the same levels of confidence; however, Indian students had more knowledge and confidence regarding pharmacology (OR = 1.72; 95% CI 1.17–6.23; p = 0.019) and infectious diseases (OR = 3.42; 95% CI 1.21–9.68; p = 0.021) (Table 9 and Figure 4). The prescribing confidence in different clinical situations is depicted in Figure 5.

3.5. Knowledge and Attitudes towards AMR

Almost all knowledge and attitude towards AMR scores were lower among Year-III students than Year-IV and Year-V students (Figure 6). The perceptions of medical students regarding the different factors regarding AMR are illustrated in Figure 7.

3.6. Knowledge of Prescribing Guidelines

The students felt that the trust in antimicrobial prescribing guidelines and adherence to these guidelines was essential to reduce the risk of AMR. The cadet officer medical students showed 2.46 times the odds (95% CI 1.12–5.42, p = 0.025) of the civilians (Figure 8A) regarding the awareness of the guidelines available in Malaysia. The Indian students had a lower knowledge than the Malay students (OR = 0.21, 95% CI 0.06–0.76; p = 0.017). No other significant differences were noted for other guidelines (Figure 8B).

4. Discussion

The response rate (90.32%) was relatively high. This may be because research respondents were from a military school with strict discipline alongside a small study population with good student cooperation.
Encouragingly, most students believed that the Faculty of Medicine and Defence Health provided sufficient teaching-learning educational inputs regarding commonly prescribed medicines including antimicrobials, appropriate and accurate prescription writing principles, and the management of infectious diseases. This is welcome as an earlier study conducted among medical students in Malaysia requested more educational input regarding antimicrobial prescribing and clinical pharmacology [59]. Our findings are similar to several other studies researching educational input among medical students regarding antibiotics and AMR [64,68,69,70,71,72]. A previous study in Malaysia also showed that most medical students possessed a reasonably good knowledge of antimicrobials [54]. This study also showed that both male and female medical students had confidence in appropriate and accurate prescription writing [54].
However, others have reported different findings [52,59,73]. In India, Nayak et al. (2021) found that most of the medical students surveyed felt that the current input regarding pharmacology was not sufficient to develop appropriate prescribing skills [52]. Similarly, a study conducted in South Africa reported a low level of prescribing confidence among students, which resulted in greater input on clinical pharmacology and prescribing during undergraduate teaching [73]. One study conducted among both University nonmedical and medical students in Malaysia reported that their overall knowledge was low regarding antimicrobials and other health-related issues; however, medical students’ knowledge levels were significantly (p < 0.001) higher regarding antimicrobials and other matters than nonmedical participants [74]. Higuita-Gutiérrez et al. (2020) also found that a significant proportion of medical students in their study in Colombia found the training on antibiotics and AMR to be mediocre to poor [75]. Similarly, in their systematic review, Nogueira-Uzal et al. (2020) also found a considerable lack of knowledge regarding antibiotics in the included studies, with 41–69% of medical students in the various studies believing antibiotics would help to treat URTIs [76]. This is a concern especially given high inappropriate prescribing of antibiotics in ambulatory care particularly across LMICs and including Malaysia [8,14,27,28,32].
The finding that Year-V medical students had eight times higher knowledge levels regarding commonly prescribed drugs versus Year-III students is a concern going forward that needs to be addressed. However, this is different from studies conducted in South Africa and in Spain, where there were low confidence levels regarding the prescribing antibiotics among final year medical students [68,73]. The Spanish study found that whilst medical students felt confident in diagnosing infectious diseases, they needed more education and training regarding judiciously prescribing antimicrobials [68]. Haque et al. (2016) also found that medical students in Malaysia welcomed more education on the selection of antibiotics, perceiving a gap between theoretical input and clinical practice [59]. This was similar to the situation in India and across Europe, especially among several Central, Eastern, and Southern European countries, where there were concerns with knowledge about antibiotics, prescribing skills for common infectious diseases, and AMR, with a need for additional educational input [77,78,79,80]. A further study conducted among medical students in France and Sweden found that a multimodal instructional strategy resulted in better prescribing habits among students versus being exposed to a lower number of teaching-learning methods, which has important implications [78].
Our findings also demonstrate that students’ capability to prescribe independently and rationally during clinical rotations improves with training, which is encouraging. This contrasts with other studies showing that medical students require more teaching-learning sessions on antimicrobials prescribing for their forthcoming practice post-qualification [32,59,77,78,79,80,81,82,83,84,85]. We are not sure of the reasons behind this difference. This may reflect differences in teaching approaches, including clinical rotation programs between countries with problem-based learning styles associated with greater knowledge about antibiotics and prescribing than traditional learning approaches [80]. Of interest when refining the content of teaching modules for medical students, we found that Year-III and Year-IV students had the same level of confidence in all four components. However, Year-V students exhibited around four to six times higher confidence levels than Year-III students. This is important given the appreciable changes in the education of HCPs across countries as a result of the COVID-19 pandemic and the implications on university education especially in LMICs [86,87,88].
Furthermore, AMR knowledge and attitude scores were typically lower among Year-III medical students than among their seniors. It is evident that as students reach a senior level, their understanding and skills improve, especially with additional input at a senior level [89,90]. In any event, teaching prudent antibiotic prescribing skills and AMR is essential to reduce rising AMR rates [18,91].
Encouragingly, both genders in the study found all five modes of teaching were helpful or effective in attaining and improving knowledge about medicine and prescribing. The same situation was seen regarding knowledge of antimicrobials and their prescribing. Alongside this, there were no statistically significant differences regarding the modes of teaching among the genders, years of study, i.e., Years III, IV and V, and ethnic origin. The exception was with Chinese and Indian medical students in certain aspects. Chinese students felt less benefit in the clinical rotation educational method than other ethnic groups. On the other hand, Indian medical students appeared to have higher levels of understanding than those from other ethnic origins. We are not sure of the reasons behind these differences and will be exploring them further in future studies
Encouragingly, the medical students in this study showed awareness about the prescribing guidelines available in Malaysia to assist with appropriate disease management and enhance prudent/rational prescribing. This is important as multiple publications have concluded that adherence to guidelines, hospital formularies, and other strategies does improve prescribing quality, including antimicrobials [14,32,35,36,92,93,94].

5. Limitation of the Study

This study was cross-sectional with its inherent limitations. There were also issues with data collection as a result of clinical placements. This impacted the final classification of some students, e.g., some of the Year-V students were wrongly labelled as Year-IV. The research was only conducted at only one university in Malaysia and before the forced closure of universities due to the COVID-19 pandemic. Despite these limitations, we believe the findings will be of interest to other countries and provide guidance to the universities in Malaysia.

6. Conclusions

The majority of the clinical medical students of UPNM reported they received sufficient input regarding commonly prescribed medicines, including antimicrobials, appropriate and accurate prescription writing principles, and infectious diseases. Year-V students had an eight times higher knowledge level regarding commonly prescribing medicines than Year-III students and appreciably higher confidence in the principles of prescribing antimicrobials in patients with infectious diseases. Year-IV and Year-V students were also found to have a better understanding of AMR. Generally, as students became more senior, their knowledge, attitude, and understanding regarding infectious disease and AMR improved together with their future prescribing skills and confidence including antimicrobials prescribing.

7. Recommendation

There is a need for medical students to be familiarized with applying rational approaches to prescribing, including antimicrobials prescribing, and these should be included earlier in the curriculum. This is even more important due to the pandemic and the resultant increased prescribing of antimicrobials for essentially viral infections. In several LMICs countries, clinical clerking and teaching, including prescribing skills, has especially been impaired because of lockdown and movement control orders. These challenges need to be addressed at the earliest possible opportunity to ensure AMR does not become the next pandemic to address.

8. Article Highlights

This study determined the self-confidence and knowledge of Malaysian medical students of different clinical years in managing infectious diseases and prudent antimicrobial prescribing.
Students reported didactic lectures as the least helpful teaching method and clinical rotation as the most beneficial.
The medical students of different clinical years surveyed possessed knowledge sufficiency and confidence regarding infectious diseases.
The majority of the medical students knew the guidelines to assist with appropriate antibiotic prescribing.
This study revealed that medical students reach senior years knowing and having prescribing confidence of antimicrobial medication advances.

Author Contributions

Substantial contributions to the conception and design, acquisition of data, or analysis and interpretation of data: M.H., T.A., M.A.H., H.L., S.D., N.S., A.R.A., S.S.B.S.M., M.M.R., S.I., N.A., R.A., S.L.B.A., M.H.B.I. and B.G.; drafting the article or revising it critically for valuable intellectual content: M.H., T.A., M.A.H., H.L., S.D., N.S., A.R.A., S.S.B.S.M., M.M.R., S.I., N.A., R.A., S.L.B.A., M.H.B.I. and B.G.; final approval of the version to be published: M.H., T.A., M.A.H., H.L., S.D., N.S., A.R.A., S.S.B.S.M., M.M.R., S.I., N.A., R.A., S.L.B.A., M.H.B.I. and B.G.; agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved: M.H., T.A., M.A.H., H.L., S.D., N.S., A.R.A., S.S.B.S.M., M.M.R., S.I., N.A., R.A., S.L.B.A., M.H.B.I. and B.G.; project administration: M.H., T.A., M.A.H., H.L., S.D., N.S., A.R.A., S.S.B.S.M., M.M.R., S.I., N.A., R.A., S.L.B.A. and M.H.B.I. All authors have read and agreed to the published version of the manuscript.

Funding

This paper was not funded.

Institutional Review Board Statement

This research was reviewed and approved by the Institutional Research Ethical Committee from the Centre for Research, Innovation and management, National Defense University, Malaysia (code: UPNM/2019/SF/SKK/04; reference number: UPNP (PPPI) 16.01/06/024 (2), dated 3 January 2019).

Informed Consent Statement

Informed consent from research respondents were obtained before data collection started.

Data Availability Statement

Data is available only for research purpose from principal author (MH).

Acknowledgments

The authors are very grateful to those students who participated amidst their hectic schedules. The principal author would also like to acknowledge the librarian and other staff of UPNM who assisted with finding a number of papers for the literature review. The authors also would like to thank Vivienne Frances Philip for her additional English Language editorial support.

Conflicts of Interest

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

References

  1. Founou, R.C.; Founou, L.L.; Essack, S.Y. Clinical and economic impact of antibiotic resistance in developing countries: A systematic review and meta-analysis. PLoS ONE 2017, 12, e0189621. [Google Scholar] [CrossRef] [Green Version]
  2. Jiang, T.; Chen, X.-S. Outcome Impacts Due to Pathogen-Specific Antimicrobial Resistance: A Narrative Review of Published Literature. Int. J. Environ. Res. Public Health 2020, 17, 1395. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Kurotschka, P.K.; Serafini, A.; Massari, M.; Da Cas, R.; Figueiras, A.; Forte, V.; Moro, M.F.; Massidda, M.; Contu, F.; Minerba, L.; et al. Broad Spectrum project: Factors determining the quality of antibiotic use in primary care: An observational study protocol from Italy. BMJ Open 2020, 10, e038843. [Google Scholar] [CrossRef] [PubMed]
  4. Sultan, I.; Rahman, S.; Jan, A.T.; Siddiqui, M.T.; Mondal, A.H.; Haq, Q.M.R. Antibiotics, Resistome and Resistance Mechanisms: A Bacterial Perspective. Front. Microbiol. 2018, 9, 2066. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Bell, B.G.; Schellevis, F.; Stobberingh, E.; Goossens, H.; Pringle, M. A systematic review and meta-analysis of the effects of antibiotic consumption on antibiotic resistance. BMC Infect. Dis. 2014, 14, 13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Darkwah, T.O.; Afriyie, D.K.; Sneddon, J.; Cockburn, A.; Opare-Addo, M.N.A.; Tagoe, B.; Amponsah, S.K. Assessment of prescribing patterns of antibiotics using National Treatment Guidelines and World Health Organization prescribing indicators at the Ghana Police Hospital: A pilot study. Pan Afr. Med. J. 2021, 39, 222. [Google Scholar] [CrossRef]
  7. Karakonstantis, S.; Kalemaki, D. Antimicrobial overuse and misuse in the community in Greece and link to antimicrobial resistance using methicillin-resistant S. aureus as an example. J. Infect. Public Health 2019, 12, 460–464. [Google Scholar] [CrossRef]
  8. Sulis, G.; Adam, P.; Nafade, V.; Gore, G.; Daniels, B.; Daftary, A.; Das, J.; Gandra, S.; Pai, M. Antibiotic prescription practices in primary care in low- and middle-income countries: A systematic review and meta-analysis. PLoS Med. 2020, 17, e1003139. [Google Scholar] [CrossRef]
  9. Hernando-Amado, S.; Coque, T.M.; Baquero, F.; Martínez, J.L. Antibiotic Resistance: Moving From Individual Health Norms to Social Norms in One Health and Global Health. Front. Microbiol. 2020, 11, 1914. [Google Scholar] [CrossRef]
  10. Ayukekbong, J.A.; Ntemgwa, M.; Atabe, A.N. The threat of antimicrobial resistance in developing countries: Causes and control strategies. Antimicrob. Resist. Infect. Control 2017, 6, 47. [Google Scholar] [CrossRef]
  11. Bokhary, H.; Pangesti, K.N.A.; Rashid, H.; Abd El Ghany, M.; Hill-Cawthorne, G.A. Travel-Related Antimicrobial Resistance: A Systematic Review. Trop. Med. Infect. Dis. 2021, 6, 11. [Google Scholar] [CrossRef] [PubMed]
  12. Mohsin, M.; Van Boeckel, T.P.; Saleemi, M.K.; Umair, M.; Naseem, M.N.; He, C.; Khan, A.; Laxminarayan, R. Excessive use of medically important antimicrobials in food animals in Pakistan: A five-year surveillance survey. Glob. Health Action 2019, 12 (Suppl. 1), 1697541. [Google Scholar] [CrossRef] [Green Version]
  13. Cassini, A.; Högberg, L.D.; Plachouras, D.; Quattrocchi, A.; Hoxha, A.; Simonsen, G.S.; Colomb-Cotinat, M.; Kretzschmar, M.E.; Devleesschauwer, B.; Cecchini, M.; et al. Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015: A population-level modelling analysis. Lancet Infect. Dis. 2019, 19, 56–66. [Google Scholar] [CrossRef] [Green Version]
  14. Godman, B.; Egwuenu, A.; Haque, M.; Malande, O.; Schellack, N.; Kumar, S.; Saleem, Z.; Sneddon, J.; Hoxha, I.; Islam, S.; et al. Strategies to Improve Antimicrobial Utilization with a Special Focus on Developing Countries. Life 2021, 11, 528. [Google Scholar] [CrossRef] [PubMed]
  15. Hofer, U. The cost of antimicrobial resistance. Nat. Rev. Microbiol. 2019, 17, 3. [Google Scholar] [CrossRef]
  16. Murray, C.J.; Ikuta, K.S.; Sharara, F.; Swetschinski, L.; Aguilar, G.R.; Gray, A.; Han, C.; Bisignano, C.; Rao, P.; Wool, E.; et al. Antimicrobial Resistance Collaborators. Global burden of bacterial antimicrobial resistance in 2019: A systematic analysis. Lancet 2022, 399, 629–655. [Google Scholar] [CrossRef]
  17. The World Bank. By 2050, Drug-Resistant Infections Could Cause Global Economic Damage on Par with 2008 Financial Crisis. 2016. Available online: https://www.worldbank.org/en/news/press-release/2016/09/18/by-2050-drug-resistant-infections-could-cause-global-economic-damage-on-par-with-2008-financial-crisis (accessed on 7 March 2022).
  18. Majumder, A.A.; Rahman, S.; Cohall, D.; Bharatha, A.; Singh, K.; Haque, M.; Hilaire, M.G.-S. Antimicrobial Stewardship: Fighting Antimicrobial Resistance and Protecting Global Public Health. Infect. Drug Resist. 2020, 13, 4713–4738. [Google Scholar] [CrossRef]
  19. Sharma, A.; Singh, A.; Dar, M.A.; Kaur, R.J.; Charan, J.; Iskandar, K.; Haque, M.; Murti, K.; Ravichandiran, V.; Dhingra, S. Menace of antimicrobial resistance in LMICs: Current surveillance practices and control measures to tackle hostility. J. Infect. Public Health 2022, 15, 172–181. [Google Scholar] [CrossRef]
  20. Chua, A.Q.; Verma, M.; Hsu, L.Y.; Legido-Quigley, H. An analysis of national action plans on antimicrobial resistance in Southeast Asia using a governance framework approach. Lancet Reg. Health West. Pac. 2021, 7, 100084. [Google Scholar] [CrossRef]
  21. McEwen, S.A.; Collignon, P.J. Antimicrobial Resistance: A One Health Perspective. Microbiol. Spectr. 2018, 6. [Google Scholar] [CrossRef] [Green Version]
  22. World Health Organization (WHO). Global Action Plan on Antimicrobial Resistance. 2016. Available online: https://www.who.int/publications/i/item/9789241509763 (accessed on 7 March 2022).
  23. Ministry of Health, Malaysia and Ministry of Agriculture & Agro-Based Industry Malaysia. Malaysian Action Plan on Antimicrobial Resistance (MyAP-AMR) 2017–2021. 2017. Available online: https://www.dvs.gov.my/dvs/resources/user_1/2020/KAV/AMR/MyAP_AMR.pdf (accessed on 17 March 2022).
  24. Naeemmudeen, N.M.; Mohd Ghazali, N.A.N.; Bahari, H.; Ibrahim, R.; Samsudin, A.D.; Jasni, A.S. Trends in antimicrobial resistance in Malaysia. Med. J. Malaysia. 2021, 76, 698–705. [Google Scholar] [PubMed]
  25. Jamaluddin, N.; Periyasamy, P.; Lau, C.; Ponnampalavanar, S.; Lai, P.; Ramli, R.; Tan, T.; Kori, N.; Yin, M.; Azman, N.; et al. Point Prevalence Survey of Antimicrobial Use in a Malaysian Tertiary Care University Hospital. Antibiotics 2021, 10, 531. [Google Scholar] [CrossRef] [PubMed]
  26. Tham, D.W.J.; Abubakar, U.; Tangiisuran, B. Prevalence and predictors of antibiotic use among children visiting the Emergency Department in a Tertiary Hospital in Malaysia. Eur. J. Pediatr. 2020, 179, 743–748. [Google Scholar] [CrossRef] [PubMed]
  27. Hassali, M.A.; Kamil, T.K.T.; Yusof, F.A.M.; A Alrasheedy, A.; Yusoff, Z.M.; Saleem, F.; Al-Tamimi, S.K.; Wong, Z.Y.; Aljadhey, H.; Godman, B. General practitioners’ knowledge, attitude and prescribing of antibiotics for upper respiratory tract infections in Selangor, Malaysia: Findings and implications. Expert Rev. Anti-Infect. Ther. 2015, 13, 511–520. [Google Scholar] [CrossRef] [Green Version]
  28. Rezal, R.S.; Hassali, M.A.; A Alrasheedy, A.; Saleem, F.; Yusof, F.A.M.; Kamal, M.; Din, R.M.; Godman, B. Prescribing patterns for upper respiratory tract infections: A prescription-review of primary care practice in Kedah, Malaysia, and the implications. Expert Rev. Anti-Infect. Ther. 2015, 13, 1547–1556. [Google Scholar] [CrossRef] [Green Version]
  29. Atif, M.; Ihsan, B.; Malik, I.; Ahmad, N.; Saleem, Z.; Sehar, A.; Babar, Z.-U. Antibiotic stewardship program in Pakistan: A multicenter qualitative study exploring medical doctors’ knowledge, perception and practices. BMC Infect. Dis. 2021, 21, 374. [Google Scholar] [CrossRef]
  30. Lampi, E.; Carlsson, F.; Sundvall, P.-D.; Torres, M.J.; Ulleryd, P.; Åhrén, C.; Jacobsson, G. Interventions for prudent antibiotic use in primary healthcare: An econometric analysis. BMC Health Serv. Res. 2020, 20, 895. [Google Scholar] [CrossRef]
  31. Dyar, O.J.; Beović, B.; Vlahović-Palčevski, V.; Verheij, T.; Pulcini, C.; On behalf of ESGAP (the ESCMID [European Society of Clinical Microbiology and Infectious Diseases] Study Group for Antibiotic Policies). How can we improve antibiotic prescribing in primary care? Expert Rev. Anti-Infect. Ther. 2016, 14, 403–413. [Google Scholar] [CrossRef]
  32. Godman, B.; Haque, M.; McKimm, J.; Abu Bakar, M.; Sneddon, J.; Wale, J.; Campbell, S.; Martin, A.P.; Hoxha, I.; Abilova, V.; et al. Ongoing strategies to improve the management of upper respiratory tract infections and reduce inappropriate antibiotic use particularly among lower and middle-income countries: Findings and implications for the future. Curr. Med. Res. Opin. 2019, 36, 301–327. [Google Scholar] [CrossRef]
  33. Brinkman, D.J.; Tichelaar, J.; Mokkink, L.B.; Christiaens, T.; Likic, R.; Maciulaitis, R.; Costa, J.; Sanz, E.J.; Maxwell, S.R.; Richir, M.C.; et al. Education Working Group of the European Association for Clinical Pharmacology and Therapeutics (EACPT) and its affiliated Network of Teachers in Pharmacotherapy (NOTIP). Key Learning Outcomes for Clinical Pharmacology and Therapeutics Education in Europe: A Modified Delphi Study. Clin. Pharmacol. Ther. 2017, 104, 317–325. [Google Scholar] [CrossRef]
  34. Ofori-Asenso, R.; Agyeman, A.A. Irrational Use of Medicines—A Summary of Key Concepts. Pharmacy 2016, 4, 35. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Niaz, Q.; Godman, B.; Massele, A.; Campbell, S.; Kurdi, A.; Kagoya, H.R.; Kibuule, D. Validity of World Health Organisation prescribing indicators in Namibia’s primary healthcare: Findings and implications. Int. J. Qual. Health Care 2019, 31, 338–345. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Niaz, Q.; Godman, B.; Campbell, S.; Kibuule, D. Compliance to prescribing guidelines among public health care facilities in Namibia; findings and implications. Int. J. Clin. Pharm. 2020, 42, 1227–1236. [Google Scholar] [CrossRef]
  37. Campbell, S.M.; Meyer, J.; Godman, B. Why Compliance to National Prescribing Guidelines is Important Especially across Sub-Saharan Africa and Suggestions for the Future. Biomed. Pharm. Sci. 2021, 4, 1–7. [Google Scholar]
  38. Ab Rahman, N.; Teng, C.L.; Sivasampu, S. Antibiotic prescribing in public and private practice: A cross-sectional study in primary care clinics in Malaysia. BMC Infect. Dis. 2016, 16, 208. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Shamsuddin, S.; Akkawi, M.E.; Zaidi, S.T.R.; Ming, L.C.; Manan, M.M. Antimicrobial drug use in primary healthcare clinics: A retrospective evaluation. Int. J. Infect. Dis. 2016, 52, 16–22. [Google Scholar] [CrossRef] [Green Version]
  40. Ahmad, A.; Nor, J.; Abdullah, A.A.; Kamauzaman, T.H.T.; Yazid, M.B. Patient Factors in Inappropriate Antibiotic Prescribing for Upper Respiratory Tract Infection in the Emergency Department. Malays. J. Med Sci. 2021, 28, 72–83. [Google Scholar] [CrossRef]
  41. Tiong, J.J.L.; Mai, C.W.; Gan, P.W.; Johnson, J.; Mak, V.S.L. Separation of prescribing and dispensing in Malaysia: The history and challenges. Int. J. Pharm. Pr. 2016, 24, 302–305. [Google Scholar] [CrossRef]
  42. Naidoo, K.; Van Wyk, J.M. What the elderly experience and expect from primary care services in KwaZulu-Natal, South Africa. Afr. J. Prim. Health Care Fam. Med. 2019, 11, e1–e6. [Google Scholar] [CrossRef] [Green Version]
  43. Daniels, J.; Zweigenthal, V.; Reagon, G. Assessing the impact of a waiting time survey on reducing waiting times in urban primary care clinics in Cape Town, South Africa. J. Public Health Afr. 2017, 8, 39. [Google Scholar] [CrossRef] [Green Version]
  44. Teng, C.L.; Tong, S.F.; Khoo, E.M.; Lee, V.; Zailinawati, A.H.; Mimi, O.; Chen, W.S.; Nordin, S. Antibiotics for URTI and UTI—Prescrib-ing in Malaysian primary care settings. Aust. Fam. Physician 2011, 40, 325–329. [Google Scholar] [PubMed]
  45. Mohd Fozi, K.; Kamaliah, M. The effect of profiling report on antibiotic prescription for upper respiratory tract infection. Ma-Lays Fam. Physician 2013, 8, 26–31. [Google Scholar]
  46. Malchione, M.D.; Torres, L.M.; Hartley, D.; Koch, M.; Goodman, J.L. Carbapenem and colistin resistance in Enterobacteriaceae in Southeast Asia: Review and mapping of emerging and overlapping challenges. Int. J. Antimicrob. Agents 2019, 54, 381–399. [Google Scholar] [CrossRef] [PubMed]
  47. Mobasseri, G.; Teh, C.S.J.; Ooi, P.T.; Thong, K.L. The emergence of colistin-resistant Klebsiella pneumoniae strains from swine in Malaysia. J. Glob. Antimicrob. Resist. 2019, 17, 227–232. [Google Scholar] [CrossRef]
  48. Mobasseri, G.; Thong, K.L.; Rajasekaram, G.; Teh, C.S.J. Molecular characterization of extended-spectrum β-lactamase-producing Klebsiella pneumoniae from a Malaysian hospital. Braz. J. Microbiol. 2019, 51, 189–195. [Google Scholar] [CrossRef]
  49. Mobasseri, G.; Teh, C.S.J.; Ooi, P.T.; Tan, S.C.; Thong, K.L. Molecular Characterization of Multidrug-Resistant and Extended-Spectrum Beta-Lactamase-Producing Klebsiella pneumoniae Isolated from Swine Farms in Malaysia. Microb. Drug Resist. 2019, 25, 1087–1098. [Google Scholar] [CrossRef]
  50. Aklilu, E.; Raman, K. MCR-1 Gene Encoded Colistin-Resistant Escherichia coli in Raw Chicken Meat and Bean Sprouts in Malaysia. Int. J. Microbiol. 2020, 2020, 8853582. [Google Scholar] [CrossRef]
  51. Yam, E.L.Y.; Hsu, L.Y.; Yap, E.P.-H.; Yeo, T.W.; Lee, V.; Schlundt, J.; Lwin, M.O.; Limmathurotsakul, D.; Jit, M.; Dedon, P.; et al. Antimicrobial Resistance in the Asia Pacific region: A meeting report. Antimicrob. Resist. Infect. Control 2019, 8, 202. [Google Scholar] [CrossRef]
  52. Nayak, V.; Adiga, S.; Shenoy, S.; Holla, S. Implementation and assessment of a module to enhance prescribing competency in undergraduate medical students. Med. J. Armed Forces India 2021, 77 (Suppl. 1), S122–S128. [Google Scholar] [CrossRef]
  53. Haque, M.; Godman, B. Potential strategies to reduce inappropriate prescribing and dispensing of antimicrobials in Bangladesh building on the experiences in other developing countries. Bangladesh J. Med. Sci. 2021, 20, 700–706. [Google Scholar] [CrossRef]
  54. Haque, M.; A Rahman, N.A.; McKimm, J.; Kibria, G.M.; Majumder, A.A.; Haque, S.Z.; Islam, Z.; Abdullah, S.L.B.; Daher, A.M.; Zulkifli, Z.; et al. Self-medication of antibiotics: Investigating practice among university students at the Malaysian National Defence University. Infect. Drug Resist. 2019, 12, 1333–1351. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. The Star Online. Medication Must not Be Sold without Prescription. 2016. Available online: https://www.thestar.com.my/opinion/letters/2016/08/29/medication-must-not-be-sold-withoutprescription (accessed on 17 March 2022).
  56. Ruban, A.; Robertson, M. No Prescription, no Problem: Buying Medicines Is as Easy as Buying Candy Really. 2018. Available online: https://www.malaymail.com/news/malaysia/2018/07/11/no-prescription-no-problem-buying-medicines-is-as-easy-as-buying-candy-real/1650964 (accessed on 17 March 2022).
  57. Kalungia, A.; Godman, B. Implications of non-prescription antibiotic sales in China. Lancet Infect. Dis. 2019, 19, 1272–1273. [Google Scholar] [CrossRef] [Green Version]
  58. Haque, M.; Rahman, N.A.A.; McKimm, J.; Sartelli, M.; Kibria, G.M.; Islam, Z.; Lutfi, S.N.N.B.; Othman, N.S.A.B.; Abdullah, S.L.B. Antibiotic Use: A Cross-Sectional Study Evaluating the Understanding, Usage and Perspectives of Medical Students and Pathfinders of a Public Defence University in Malaysia. Antibiotics 2019, 8, 154. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Haque, M.; Rahman, N.I.A.; Zulkifli, Z.; Ismail, S. Antibiotic prescribing and resistance: Knowledge level of medical students of clinical years of University Sultan Zainal Abidin, Malaysia. Ther. Clin. Risk Manag. 2016, 12, 413–426. [Google Scholar] [CrossRef] [Green Version]
  60. Godman, B.; Haque, M.; Islam, S.; Iqbal, S.; Urmi, U.L.; Kamal, Z.M.; Shuvo, S.A.; Rahman, A.; Kamal, M.; Haque, M.; et al. Rapid Assessment of Price Instability and Paucity of Medicines and Protection for COVID-19 Across Asia: Findings and Public Health Implications for the Future. Front. Public Health 2020, 8, 585832. [Google Scholar] [CrossRef]
  61. Shah, A.U.M.; Safri, S.N.A.; Thevadas, R.; Noordin, N.K.; Abd Rahman, A.; Sekawi, Z.; Ideris, A.; Sultan, M.T.H. COVID-19 outbreak in Malaysia: Actions taken by the Malaysian government. Int. J. Infect. Dis. 2020, 97, 108–116. [Google Scholar] [CrossRef]
  62. Umair, S.; Waqas, U.; Faheem, M. COVID-19 pandemic: Stringent measures of Malaysia and implications for other countries. Postgrad. Med. J. 2021, 97, 130–132. [Google Scholar] [CrossRef]
  63. Azman, N.; Malaysia, U.K.; Abdullah, D. A critical analysis of malaysian higher education institutions’ response towards covid-19: Sustaining academic program delivery. J. Sustain. Sci. Manag. 2020, 16, 70–96. [Google Scholar] [CrossRef]
  64. Weier, N.; Thursky, K.; Zaidi, S.T.R. Antimicrobial knowledge and confidence amongst final year medical students in Australia. PLoS ONE 2017, 12, e0182460. [Google Scholar] [CrossRef] [Green Version]
  65. Barlam, T.F.; Morgan, J.R.; Wetzler, L.M.; Christiansen, C.L.; Drainoni, M.L. Antibiotics for respiratory tract infections: A comparison of prescribing in an outpatient setting. Infect. Control Hosp. Epidemiol. 2015, 36, 153–159. [Google Scholar] [CrossRef]
  66. Eggermont, D.; Smit, M.A.M.; Kwestroo, G.A.; Verheij, R.A.; Hek, K.; Kunst, A.E. The influence of gender concordance between general practitioner and patient on antibiotic prescribing for sore throat symptoms: A retrospective study. BMC Fam. Pract. 2018, 19, 175. [Google Scholar] [CrossRef] [PubMed]
  67. Soleymani, F.; Godman, B.; Yarimanesh, P.; Kebriaeezadeh, A. Prescribing patterns of physicians working in both the direct and indirect treatment sectors in Iran; findings and implications. J. Pharm. Health Serv. Res. 2019, 10, 407–413. [Google Scholar] [CrossRef]
  68. Sánchez-FabraSánchez-Fabra, D.; Dyar, O.J.; Del Pozo, J.L.; Amiguet, J.A.; Colmenero, J.D.; Fariñas, M.D.C.; López-Medrano, F.; Portilla, J.; Praena, J.; Torre-Cisneros, J.; et al. En representación de ESGAP (ESCMID Study Group for Antimicrobial Stewardship). Perspective of Spanish medical students regarding undergraduate education in infectious diseases, bacterial resistance and antibiotic use. Enferm. Infecc. Microbiol. Clin. 2019, 37, 25–30. [Google Scholar] [CrossRef] [Green Version]
  69. Zulu, A.; Matafwali, S.K.; Banda, M.; Mudenda, S. Assessment of knowledge, attitude and practices on antibiotic resistance among undergraduate medical students in the school of medicine at the University of Zambia. Int. J. Basic Clin. Pharmacol. 2020, 9, 263–270. [Google Scholar] [CrossRef]
  70. Dutt, H.K.; Sarkhil, M.Z.; Hasseb, A.; Singh, G. A comparative knowledge, attitude, and practice study of antimicrobial use, self-medication and antimicrobial resistance among final year students of MBBS, BDS, and BSc Nursing at a tertiary care hospital at Kannur. Natl. J. Physiol. Pharm. Pharmacol. 2018, 8, 1305–1311. [Google Scholar] [CrossRef]
  71. Gupta, M.K.; Vohra, C.; Raghav, P. Assessment of knowledge, attitudes, and practices about antibiotic resistance among medical students in India. J. Fam. Med. Prim. Care 2019, 8, 2864–2869. [Google Scholar] [CrossRef]
  72. Khajuria, K.; Kaur, S.; Sadiq, S.; Khajuria, V. KAP on antibiotic usage and resistance among second professional medical students. Int. J. Basic Clin. Pharmacol. 2019, 8, 68–73. [Google Scholar] [CrossRef]
  73. Wasserman, S.; Potgieter, S.; Shoul, E.; Constant, D.; Stewart, A.; Mendelson, M.; Boyles, T.H. South African medical students’ perceptions and knowledge about antibiotic resistance and appropriate prescribing: Are we providing adequate training to future prescribers? S. Afr. Med. J. 2017, 107, 405–410. [Google Scholar] [CrossRef] [Green Version]
  74. Haque, M.; Rahman, N.A.A.; McKimm, J.; Abdullah, S.L.B.; Islam, Z.; Zulkifli, Z.; Saidin, N.B.; Azhar, N.I.K.; Lutfi, S.N.N.B.; Othman, N.S.A.B. A cross-sectional study evaluating the knowledge and beliefs about, and the use of antibiotics amongst Malaysian university students. Expert Rev. Anti-Infective Ther. 2019, 17, 275–284. [Google Scholar] [CrossRef]
  75. Higuita-Gutiérrez, L.F.; Villamil, G.E.R.; Quiceno, J.N.J. Knowledge, attitude, and practice regarding antibiotic use and resistance among medical students in Colombia: A cross-sectional descriptive study. BMC Public Health 2020, 20, 1861. [Google Scholar] [CrossRef]
  76. Nogueira-Uzal, N.; Zapata-Cachafeiro, M.; Vázquez-Cancela, O.; López-Durán, A.; Herdeiro, M.T.; Figueiras, A.; Nogueira-Uzal, N.; Zapata-Cachafeiro, M.; Vázquez-Cancela, O.; López-Durán, A.; et al. Does the problem begin at the beginning? Medical students’ knowledge and beliefs regarding antibiotics and resistance: A systematic review. Antimicrob. Resist. Infect. Control 2020, 9, 172. [Google Scholar] [CrossRef] [PubMed]
  77. Dyar, O.J.; Nathwani, D.; Monnet, D.L.; Gyssens, I.C.; Lundborg, C.S.; Pulcini, C.; Wechsler-Fördös, A.; Kostyanev, T.; Vlahović-Palčevski, V.; Kolar, M.; et al. Do medical students feel prepared to prescribe antibiotics responsibly? Results from a cross-sectional survey in 29 European countries. J. Antimicrob. Chemother. 2018, 73, 2236–2242. [Google Scholar] [CrossRef] [PubMed]
  78. Dyar, O.J.; on behalf of the French-Swedish Student-PREPARE ESGAP working group; Lund, M.; Lindsjö, C.; Lundborg, C.S.; Pulcini, C. Preparedness to prescribe antibiotics responsibly: A comparison between final year medical students in France and Sweden. Eur. J. Clin. Microbiol. Infect. Dis. 2019, 38, 711–717. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Ritchie, O.; Shetty, V.; Prabhu, S.; Shetty, A.K. Confidence in Antibiotic Prescribing Intentions among Senior Medical Students in India. Am. J. Trop. Med. Hyg. 2020, 103, 2561–2567. [Google Scholar] [CrossRef] [PubMed]
  80. Van der Voort, T.; Brinkman, D.J.; Benemei, S.; Böttiger, Y.; Chamontin, B.; Christiaens, T.; Likic, R.; Mačiulaitis, R.; Marandi, T.; Monteiro, E.C.; et al. Appropriate antibiotic prescribing among final-year medical students in Europe. Int. J. Antimicrob. Agents 2019, 54, 375–379. [Google Scholar] [CrossRef]
  81. Mubarak, N.; Arif, S.; Irshad, M.; Aqeel, R.M.; Khalid, A.; Ijaz, U.e.B.; Mahmood, K.; Jamshed, S.; Zin, C.S.; Saif-Ur-Rehman, N. How Are We Educating Future Physicians and Pharmacists in Pakistan? A Survey of the Medical and Pharmacy Student’s Perception on Learning and Preparedness to Assume Future Roles in Antibiotic Use and Resistance. Antibiotics 2021, 10, 1204. [Google Scholar] [CrossRef]
  82. Pulcini, C.; Gyssens, I.C. How to educate prescribers in antimicrobial stewardship practices. Virulence 2013, 4, 192–202. [Google Scholar] [CrossRef] [Green Version]
  83. Lubwama, M.; Onyuka, J.; Ayazika, K.T.; Ssetaba, L.J.; Siboko, J.; Daniel, O.; Mushi, M.F. Knowledge, attitudes, and perceptions about antibiotic use and antimicrobial resistance among final year undergraduate medical and pharmacy students at three universities in East Africa. PLoS ONE 2021, 16, e0251301. [Google Scholar] [CrossRef]
  84. Rusic, D.; Bozic, J.; Vilovic, M.; Bukic, J.; Zivkovic, P.M.; Leskur, D.; Perisin, A.S.; Tomic, S.; Modun, D. Attitudes and Knowledge Regarding Antimicrobial Use and Resistance Among Pharmacy and Medical Students at the University of Split, Croatia. Microb. Drug Resist. 2018, 24, 1521–1528. [Google Scholar] [CrossRef]
  85. Cikes, M.; Vrdoljak, L.; Buljan, I.; Mudnic, I.; Vukojevic, K.; Mikic, I.M.; Kostic, S. Students' Practices and Knowledge on Antimicrobial Usage and Resistance in Split, Croatia: The Education of Future Prescribers. Microb. Drug Resist. 2020, 26, 623–629. [Google Scholar] [CrossRef]
  86. Etando, A.; Amu, A.A.; Haque, M.; Schellack, N.; Kurdi, A.; Alrasheedy, A.A.; Timoney, A.; Mwita, J.C.; Rwegerera, G.M.; Patrick, O.; et al. Challenges and Innovations Brought about by the COVID-19 Pandemic Regarding Medical and Pharmacy Education Especially in Africa and Implications for the Future. Healthcare 2021, 9, 1722. [Google Scholar] [CrossRef] [PubMed]
  87. Chowdhury, K.; Etando, A.; Shahwan, M.; Škrbić, R.; Jairoun, A.A.; Haque, M.; Godman, B. COVID-19 and the impact on the education of healthcare professionals across countries with a particular focus on developing countries. Bangladesh J. Med. Sci. 2022, 21, 221–232. [Google Scholar] [CrossRef]
  88. Chowdhury, K.; Haque, M.; Lutfor, A.B.; Siddiqui, T.H.; Ahmad, R.; Sultana, I.; Sharma, P.; Lugova, H.; Etando, A.; Godman, B. Impact of the COVID-19 pandemic on dental and medical education in Bangladesh: A pilot study and the implications. Bangladesh J. Med. Sci. 2022, 21, 444–454. [Google Scholar] [CrossRef]
  89. Bauman, B.; Kernahan, P.; Weinhaus, A.; Walker, M.J.; Irwin, E.; Sundin, A.; Yerxa, D.; Vakayil, V.; Harmon, J.V. An Interprofessional Senior Medical Student Preparation Course: Improvement in Knowledge and Self-Confidence Before Entering Surgical Training. Adv. Med. Educ. Pr. 2021, 12, 441–451. [Google Scholar] [CrossRef]
  90. Green, C.A.; Vaughn, C.J.; Wyles, S.M.; O’Sullivan, P.S.; Kim, E.H.; Chern, H. Evaluation of a Surgery-Based Adjunct Course for Senior Medical Students Entering Surgical Residencies. J. Surg. Educ. 2016, 73, 631–638. [Google Scholar] [CrossRef] [PubMed]
  91. Pulcini, C.; Wencker, F.; Frimodt-Møller, N.; Kern, W.; Nathwani, D.; Rodríguez-Baño, J.; Simonsen, G.; Vlahović-Palčevski, V.; Gyssens, I.; Jacobs, F.; et al. European survey on principles of prudent antibiotic prescribing teaching in undergraduate students. Clin. Microbiol. Infect. 2014, 21, 354–361. [Google Scholar] [CrossRef] [Green Version]
  92. Courtenay, M.; Castro-Sánchez, E.; Deslandes, R.; Hodson, K.; Lim, R.; Morris, G.; Reeves, S.; Weiss, M. Defining antimicrobial stewardship competencies for undergraduate health professional education in the United Kingdom: A study protocol. J. Interprofessional Care 2018, 32, 638–640. [Google Scholar] [CrossRef]
  93. Chandy, S.J.; Naik, G.S.; Charles, R.; Jeyaseelan, V.; Naumova, E.N.; Thomas, K.; Lundborg, C.S. The Impact of Policy Guidelines on Hospital Antibiotic Use over a Decade: A Segmented Time Series Analysis. PLoS ONE 2014, 9, e92206. [Google Scholar] [CrossRef] [Green Version]
  94. Versporten, A.; Zarb, P.; Caniaux, I.; Gros, M.F.; Drapier, N.; Miller, M.; Jarlier, V.; Nathwani, D.; Goossens, H. Global-PPS network. Antimicrobial consumption and resistance in adult hospital inpatients in 53 countries: Results of an internet-based global point prevalence survey. Lancet Glob. Health 2018, 6, e619–e629. [Google Scholar] [CrossRef] [Green Version]
Antibiotics 11 00540 g001 550
Figure 1. Odds of gender in the formal education and training on pharmacology. Note: * p < 0.05. Circles indicate the estimation of odds ratio.
Figure 1. Odds of gender in the formal education and training on pharmacology. Note: * p < 0.05. Circles indicate the estimation of odds ratio.
Antibiotics 11 00540 g001
Antibiotics 11 00540 g003 550
Figure 3. Odds of confidence in knowledge among the Year-IV and Year-V medical students compared to Year-III. Triangle and circle denote the estimation of odds ratios of Year-IV and Year-V student, respectively.
Figure 3. Odds of confidence in knowledge among the Year-IV and Year-V medical students compared to Year-III. Triangle and circle denote the estimation of odds ratios of Year-IV and Year-V student, respectively.
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Antibiotics 11 00540 g004 550
Figure 4. Odds of confidence in knowledge among the Chinese and Indian students compared to the Malay students. Triangle and circle represent the estimates of odds ratios of Indian and Chinese student, respectively.
Figure 4. Odds of confidence in knowledge among the Chinese and Indian students compared to the Malay students. Triangle and circle represent the estimates of odds ratios of Indian and Chinese student, respectively.
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Antibiotics 11 00540 g005 550
Figure 5. Scores of confidence in knowledge in different clinical situations. Data are presented as percentiles where <50% means not confident whereas >50–70% indicates somewhat and >70% indicates most confident. Note: CAP-01: accurately diagnosing community-acquired pneumonia; CAP-02: accurately interpreting pathology and microbiology results; CAP-03: knowing the proper regimen (dose, frequency, and route of administration) for antibiotic treatment for a specific indication such as pneumonia or an exacerbation of COPD; CAP-04: knowing the suitable duration for antibiotic therapy for a particular indication such as pneumonia or a worsening of COPD; CAP-05: identifying situations where antibiotic treatment is not necessary; CAP-06: knowing when antibiotic treatment needs to be adjusted, stopped, or other treatments prescribed.
Figure 5. Scores of confidence in knowledge in different clinical situations. Data are presented as percentiles where <50% means not confident whereas >50–70% indicates somewhat and >70% indicates most confident. Note: CAP-01: accurately diagnosing community-acquired pneumonia; CAP-02: accurately interpreting pathology and microbiology results; CAP-03: knowing the proper regimen (dose, frequency, and route of administration) for antibiotic treatment for a specific indication such as pneumonia or an exacerbation of COPD; CAP-04: knowing the suitable duration for antibiotic therapy for a particular indication such as pneumonia or a worsening of COPD; CAP-05: identifying situations where antibiotic treatment is not necessary; CAP-06: knowing when antibiotic treatment needs to be adjusted, stopped, or other treatments prescribed.
Antibiotics 11 00540 g005
Antibiotics 11 00540 g006 550
Figure 6. Mean difference of knowledge attitude towards antibiotic resistance (KAAR) among students of different years. Data are presented as mean with standard deviation after plotting all the observations in the chart. The comparison was made between Year-III, Year-IV and Year-V students. Note: *** p < 0.001; ** p = 0.002–0.09 and * p < 0.05. KAAR-01, few antibiotics being developed; KAAR-02, prescribing antibiotics when the situation does not warrant their use; KAAR-03, using the wrong antibiotic for the situation; KAAR-04, using an inappropriate dose and/or frequency of antibiotic for the situation; KAAR-05, using antibiotic treatments for a longer duration than indicated; KAAR-06, not prescribing antibiotics when the situation requires their use; KAAR-07, patient noncompliance with antibiotic treatment (such as not taking it as prescribed, not completing the course, or taking too much). Circle, square, and triangles indicate Year-III, Year-IV, and Year-V, respectively.
Figure 6. Mean difference of knowledge attitude towards antibiotic resistance (KAAR) among students of different years. Data are presented as mean with standard deviation after plotting all the observations in the chart. The comparison was made between Year-III, Year-IV and Year-V students. Note: *** p < 0.001; ** p = 0.002–0.09 and * p < 0.05. KAAR-01, few antibiotics being developed; KAAR-02, prescribing antibiotics when the situation does not warrant their use; KAAR-03, using the wrong antibiotic for the situation; KAAR-04, using an inappropriate dose and/or frequency of antibiotic for the situation; KAAR-05, using antibiotic treatments for a longer duration than indicated; KAAR-06, not prescribing antibiotics when the situation requires their use; KAAR-07, patient noncompliance with antibiotic treatment (such as not taking it as prescribed, not completing the course, or taking too much). Circle, square, and triangles indicate Year-III, Year-IV, and Year-V, respectively.
Antibiotics 11 00540 g006
Antibiotics 11 00540 g007 550
Figure 7. Scores of perceptions of knowledge and attitude towards antibiotic resistance, and impact of different factors have on antimicrobial resistance. Data are presented as percentiles where <50% means no or little impact whereas >50–70% indicates some impact and >70% indicates a great impact. Note KAAR-01, few antibiotics being developed; KAAR-02, prescribing antibiotics when the situation does not warrant their use; KAAR-03, using the wrong antibiotic for the situation; KAAR-04, using an inappropriate dose and/or frequency of an antibiotic for the situation; KAAR-05, using antibiotic treatment for a longer duration than indicated; KAAR-06, not prescribing antibiotics when the situation requires their use; KAAR-07, patient noncompliance with antibiotic therapy (such as not taking the medication as prescribed, not completing the course, or taking too much).
Figure 7. Scores of perceptions of knowledge and attitude towards antibiotic resistance, and impact of different factors have on antimicrobial resistance. Data are presented as percentiles where <50% means no or little impact whereas >50–70% indicates some impact and >70% indicates a great impact. Note KAAR-01, few antibiotics being developed; KAAR-02, prescribing antibiotics when the situation does not warrant their use; KAAR-03, using the wrong antibiotic for the situation; KAAR-04, using an inappropriate dose and/or frequency of an antibiotic for the situation; KAAR-05, using antibiotic treatment for a longer duration than indicated; KAAR-06, not prescribing antibiotics when the situation requires their use; KAAR-07, patient noncompliance with antibiotic therapy (such as not taking the medication as prescribed, not completing the course, or taking too much).
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Antibiotics 11 00540 g008 550
Figure 8. Odds of designation and ethnicity of the participants regarding the knowledge of prescribing guidelines. Logistic regression was used to estimate the p-value. Circles indicate the estimate of odds ratio.
Figure 8. Odds of designation and ethnicity of the participants regarding the knowledge of prescribing guidelines. Logistic regression was used to estimate the p-value. Circles indicate the estimate of odds ratio.
Antibiotics 11 00540 g008
Table
Table 1. Demographic distribution of the data.
Table 1. Demographic distribution of the data.
VariablesResponse (n = 140)
Gender
Male66 (47.14%)
Female74 (52.86%)
Age category
Year III 40 (28.57%)
Year IV 67 (47.86%)
Year V 33 (23.57%)
Ethnic Group
Malay96 (68.57%)
Chinese13 (9.29%)
Indian31 (22.14%)
Designation
Civilian67 (47.85%)
Cadet55 (39.29%)
Territorial Army18 (12.86%)
NB: data are presented with a number and the corresponding percentage in parentheses.
Table
Table 2. Frequency and odds of gender in the formal education and training sufficiency and confidence in pharmacology.
Table 2. Frequency and odds of gender in the formal education and training sufficiency and confidence in pharmacology.
Male (n = 66)Female (n = 74)OR (95% CI)p-Value
Commonly prescribed drugs
 Not sufficient8 (36.4%)14 (63.6%)Ref.
 Sufficient58 (49.2%)60 (50.9%)0.59 (0.23, 1.51)0.273
Principles of appropriate and accurate prescription writing
 Not sufficient17 (36.2%)30 (63.8%)Ref.
 Sufficient49 (52.7%)44 (47.8%)0.51 (0.25, 0.99)0.050
Infectious diseases
 Not sufficient6 (35.3%)11 (64.7%)Ref.
 Sufficient60 (48.8%)63 (51.2%)0.56 (0.20, 1.65)0.301
NB: data are presented as a number with the corresponding percentage in parentheses and the odds ratio with a 95% confidence interval. Logistic regression was used to estimate the p-value.
Table
Table 3. Frequency and odds of different student years in the formal education and training sufficiency and confidence in pharmacology.
Table 3. Frequency and odds of different student years in the formal education and training sufficiency and confidence in pharmacology.
Y-IIIY-IVY-VY-IIIY-IVY-V
Commonly prescribed drug
 Not sufficient8 (36.4%)13 (59.1%)1 (4.55%)Ref.Ref.Ref.
 Sufficient32 (80.0%)54 (80.6%)32 (97%)Ref.1.04 (0.39, 1.77)8.0 (1.05, 67.4)0.049
Principles of appropriate and accurate prescription writing
 Not sufficient17 (36.2%)21 (31.3%)9 (19.2%)Ref.Ref.Ref.
 Sufficient23 (25.6%)46 (68.7%)24 (26.7%) 1.62 (0.72, 3.63)1.97 (0.73, 5.31)
Infectious diseases
 Not sufficient6 (15.0%)10 (14.9%)1 (3.00%)Ref.Ref.Ref.
 Sufficient34 (85.0%)57 (85.1%)32 (97.0%) 1.01 (0.34, 3.00)5.64 (0.64, 49.4)
NB: data are presented as a number with the corresponding percentage in parentheses and the odds ratio with a 95% confidence interval. Logistic regression was used to estimate the p-value. Y = Year.
Table
Table 4. Frequency and odds of ethnicity in the formal education and training sufficiency and confidence in pharmacology.
Table 4. Frequency and odds of ethnicity in the formal education and training sufficiency and confidence in pharmacology.
MalayChineseIndianMalayChineseIndian
Commonly prescribed drug
 Not sufficient19 (19.8%)03 (9.68%)Ref.Ref.Ref.
 Sufficient77 (80.2%)13 (100%)28 (90.3%) -2.32 (0.63, 8.41) (0.206)
Principles of appropriate and accurate prescription writing
 Not sufficient34 (35.4%)1 (7.69%)12 (38.7%)Ref.Ref.Ref.
 Sufficient62 (64.6%)12 (92.3%)19 (61.3%) 6.55 (0.82, 19.5) (0.076)0.90 (0.63, 1.99) (0.740)
Infectious diseases
 Not sufficient10 (10.4%)3 (23.1%)4 (12.9%)Ref.Ref.Ref.
 Sufficient86 (89.6%)10 (76.9%)27 (87.1%) 0.39 (0.09, 1.65) (0.199)0.79 (0.23, 2.72) (0.701)
NB: data are presented as a number with the corresponding percentage in parentheses and the odds ratio with a 95% confidence interval. Logistic regression was used to estimate the p-value.
Table
Table 5. Frequency and odds of gender in the relative effectiveness of various modes of delivery of education instruction in gaining and retaining the knowledge of medicines and prescribing, including but not limited to antibiotics prescribing.
Table 5. Frequency and odds of gender in the relative effectiveness of various modes of delivery of education instruction in gaining and retaining the knowledge of medicines and prescribing, including but not limited to antibiotics prescribing.
Male (n = 66)Female (n = 74)MaleFemale
Lectures
 Least useful7 (10.6%)8 (10.8%)Ref.Ref.
 Useful59 (89.4%)66 (89.2%) 0.98 (0.34, 2.86) (0.969)
Tutorials, workshops or PBL sessions
 Least useful6 (9.09%)9 (12.2%)Ref.Ref.
 Useful60 (90.9%)65 (87.8%) 0.72 (0.24, 2.16) (0.559)
Clinical rotations
 Least useful1 (1.52)2 (2.70%)Ref.Ref.
 Useful65 (98.5%)72 (97.3%) -
Informal teaching by fellow residents and registrars
 Least useful8 (12.1%)4 (5.41%)Ref.Ref.
 Useful58 (87.9%)70 (94.6%) 2.41 (0.69, 8.50) (0.167)
Attending patient care rounds/ward rounds
 Least useful2 (3.0%)4 (5.41%)Ref.Ref.
 Useful64 (97.0%)70 (95.6%) 0.55 (0.10, 3.10) (0.494)
NB: data are presented as a number with the corresponding percentage in parentheses and the odds ratio with a 95% confidence interval. Logistic regression was used to estimate the p-value. PBL = problem-based learning.
Table
Table 6. Frequency and odds of student years in the relative effectiveness of various instructional modes in gaining and retaining the knowledge of medicines and prescribing, including but not limited to antibiotics prescribing (No significant differences were noted).
Table 6. Frequency and odds of student years in the relative effectiveness of various instructional modes in gaining and retaining the knowledge of medicines and prescribing, including but not limited to antibiotics prescribing (No significant differences were noted).
Year-III Year-IVYear-V Year-III Year-IVYear-V
Lectures
 Least useful2 (5.0%)11 (16.4%)2 (6.06%)Ref.Ref.Ref.
 Useful38 (95.0%)56 (83.6%)31 (93.9%) 0.27 (0.06, 0.79) (0.098)0.82 (0.11, 6.11) (0.843)
Tutorials or workshops of PBL sessions
 Least useful2 (5.0%)13 (19.4%)0Ref.Ref.Ref.
 Useful38 (95.0%)54 (80.6%)33 (100%) 4.57 (0.97, 21.3) (0.054)-
Clinical rotations
 Least useful02 (2.99%)1 (3.00%)Ref.Ref.Ref.
 Useful40 (100.0%)65 (97.0%)32 (97.0%) --
Informal teaching by fellow residents and registrars
 Least useful2 (5.0%)5 (7.46%)5 (15.2%)Ref.Ref.Ref.
 Useful38 (95.0%)62 (92.5%)28 (84.9%) --
Attending patient care rounds/ward rounds
 Least useful1 (2.50%)4 (5.97%)1 (3.00%)Ref.Ref.Ref.
 Useful39 (97.5%)63 (94.0%)32 (97.0%) --
NB: data are presented as a number with the corresponding percentage in parentheses and the odds ratio with a 95% confidence interval. Logistic regression was used to estimate the p-value.
Table
Table 8. Frequency and odds of student years in confidence in prescribing knowledge.
Table 8. Frequency and odds of student years in confidence in prescribing knowledge.
Y-III Y-IV Y-V Y-IIIY-IV Y-V
Pharmacology
 Somewhat confident22 (55.0%)42 (63.6%)14 (42.4%)Ref.Ref.Ref.
 Confident18 (45.0%)24 (36.4%)19 (57.6%) 0.57 (0.31, 1.55)1.67 (0.66, 4.22)
Principles of prescribing
 Somewhat confident30 (75.0%)48 (71.6%)14 (42.4%)Ref.Ref.Ref.
 Confident10 (25.0%)19 (28.4%)19 (57.6%) 1.19 (0.49, 2.89)4.06 (1.51, 11.02) (0.006)
Infectious diseases
 Somewhat confident19 (47.5%)27 (40.3%)4 (12.1%)Ref.Ref.Ref.
 Confident21 (52.5%)40 (59.7%)29 (87.9%) 1.34 (0.61, 2.94)5.55 (1.95, 22.2) (0.002)
NB: data are presented as a number and the corresponding percentage in parentheses and the odds ratio with a 95% confidence interval. Logistic regression was used to estimate the p-value.
Table
Table 9. Frequency and odds of race/ethnicity in the comparative confidence in knowledge.
Table 9. Frequency and odds of race/ethnicity in the comparative confidence in knowledge.
MalayChineseIndianMalayChineseIndian
Pharmacology
 Somewhat confident60 (63.2%)6 (46.2%)12 (38.7%)Ref.Ref.Ref.
 Confident35 (36.8%)7 (53.9%)19 (61.3%) 1.99 (0.63, 6.42)1.72 (1.17, 6.23) (0.019)
Principles of prescribing
 Somewhat confident66 (68.8%)7 (53.9%)19 (61.3%)Ref.Ref.Ref.
 Confident30 (31.3%)6 (46.2%)12 (38.7%) 1.88 (0.58, 6.11)1.39 (0.60, 6.23)
Infectious diseases
 Somewhat confident38 (39.6%)7 (53.9%)5 (16.1%)Ref.Ref.Ref.
 Confident58 (60.4%)6 (46.2%)26 (83.9%) 0.56 (0.18, 1.80)3.42 (1.21, 9.68) (0.021)
NB: data are presented as a number with the corresponding percentage in parentheses and the odds ratio with a 95% confidence interval. Logistic regression was used to estimate the p-value.
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Haque, M.; Ara, T.; Haq, M.A.; Lugova, H.; Dutta, S.; Samad, N.; Rabiu Abubakar, A.; Syed Mohdhar, S.S.B.; Rahman, M.M.; Islam, S.; et al. Antimicrobial Prescribing Confidence and Knowledge Regarding Drug Resistance: Perception of Medical Students in Malaysia and the Implications. Antibiotics 2022, 11, 540. https://doi.org/10.3390/antibiotics11050540

AMA Style

Haque M, Ara T, Haq MA, Lugova H, Dutta S, Samad N, Rabiu Abubakar A, Syed Mohdhar SSB, Rahman MM, Islam S, et al. Antimicrobial Prescribing Confidence and Knowledge Regarding Drug Resistance: Perception of Medical Students in Malaysia and the Implications. Antibiotics. 2022; 11(5):540. https://doi.org/10.3390/antibiotics11050540

Chicago/Turabian Style

Haque, Mainul, Tasim Ara, Md. Ahsanul Haq, Halyna Lugova, Siddhartha Dutta, Nandeeta Samad, Abdullahi Rabiu Abubakar, Sharifah Shasha Binti Syed Mohdhar, Md. Mahabubur Rahman, Salequl Islam, and et al. 2022. "Antimicrobial Prescribing Confidence and Knowledge Regarding Drug Resistance: Perception of Medical Students in Malaysia and the Implications" Antibiotics 11, no. 5: 540. https://doi.org/10.3390/antibiotics11050540

APA Style

Haque, M., Ara, T., Haq, M. A., Lugova, H., Dutta, S., Samad, N., Rabiu Abubakar, A., Syed Mohdhar, S. S. B., Rahman, M. M., Islam, S., Adnan, N., Ahmad, R., Binti Abdullah, S. L., Ismail, M. H. B., & Godman, B. (2022). Antimicrobial Prescribing Confidence and Knowledge Regarding Drug Resistance: Perception of Medical Students in Malaysia and the Implications. Antibiotics, 11(5), 540. https://doi.org/10.3390/antibiotics11050540

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