METHODS: This study was conducted in 4 local medical schools. LAUNDERKAP was developed via literature review and had 3 domains: attitude, knowledge, practice. An expert panel assessed the content validity and clarity of wording. LAUNDERKAP was then piloted among 32 medical students. To test construct validity and internal consistency, 362 medical students were approached. Construct validity was assessed using exploratory factor analysis. Internal consistency was evaluated using Cronbach alpha for attitude and practice, while Kuder-Richardson 20 (KR-20) was used for knowledge.
RESULTS: A total of 319 of 362 students responded. Exploratory factor analysis extracted 1 factor each for attitude and knowledge respectively, and 3 factors for practice. Cronbach alpha for attitude was 0.843 while KR-20 for knowledge was 0.457. Cronbach alpha for practice ranged from 0.375 to 0.689. The final LAUNDERKAP contained 32-items (13 attitude, 9 knowledge, 10 practice).
CONCLUSIONS: LAUNDERKAP had adequate psychometric properties and can be used to assess KAP of medical students towards white coat use.
METHODS: A total of 218 undergraduate medical students at the Health Campus, Universiti Sains Malaysia, participated in a cross-sectional study that involved an online survey. Environmental factor scales were assessed with the nine-item lighting, noise, and temperature (LNT) scale and the six-item technology scale. Analysis was performed using confirmatory factor analysis (CFA).
RESULTS: The English version of the LNT scale with nine items and three factors showed a good fit to the data, with no item deleted. For LNT, the composite reliability (CR) was 0.81, 0.81, and 0.84, respectively, while the average variance extracted (AVE) was 0.61, 0.59, and 0.6, respectively. The English version of the technology scale, with six items and one factor, also showed a good fit to the data, with no item deleted. The CR was 0.84, and the AVE was 0.51.
CONCLUSIONS: The results provide psychometric evidence for environmental questionnaire scales in evaluating the factors associated with online learning among Malaysian university medical students. All items were retained and confirmed to fit the sample data.
METHOD: An explanatory mixed method research design was carried out on first year medical students at a private university in Malaysia. In Phase I, a survey was conducted to explore the effectiveness of jigsaw learning. Descriptive and inferential statistics were calculated using SPSS. In Phase II, a focus group interview was conducted to explore their in-depth experiences. Qualitative data were thematically analysed.
RESULTS: Fifty-seven students participated in the survey and seven students took part in the focus group interview. Quantitative data analysis showed a statistically significant improvement in the student's individual accountability, promotive interaction, positive interdependence, interpersonal skill, communication skill, teamwork skill, critical thinking and consensus building after jigsaw learning sessions. Qualitative data explained their experiences in-depth.
CONCLUSION: Jigsaw cooperative learning improves collaboration, communication, cooperation and critical thinking among the undergraduate medical students. Educators should use jigsaw learning methods to encourage effective collaboration and team working. Future studies should explore the effectiveness of the jigsaw cooperative learning technique in promoting interprofessional collaboration in the workplace.
METHODS: A newly developed six-week VC module was implemented online through asynchronous microlearning and synchronous simulation-based experiential learning modalities. Clinical students in years 4 and 5 and fresh graduates, who had not started pre-registration house officer or residency programmes, were invited to participate. Training outcomes using checklist-based video-recorded assessments of VC encounters between medical students and simulated patients were compared. Each video was independently assessed by two facilitators trained in VC teaching and assessment, using a direct observed virtual consultation skills checklist derived from established VC competencies. The participants completed course evaluations electronically as additional outcome measures.
RESULTS: Fifty-two clinical phase medical students and alumni completed both the instructional and practical phases of this module. Altogether, 45 (95.7%) students found the module beneficial, and 46 (95.9%) reported increased self-efficacy for conducting VC. In total, 46 (95.9%) students would recommend the course to others. Post-test results showed a significant increase in the students' abilities to conduct a VC (t-test = 16.33, p
PURPOSE: This review aimed to synthesize reliable evidence ondetermining factors among health science students' career choices to enhance policy advocacy for better health-care delivery.
METHOD: We sourced empirical studies from Scopus, PubMed, ScienceDirect and Google Scholar. From a total of 9,056 researcharticlesfrom 2010 to 2022, 27 studies with a total of 45,832 respondents met the inclusion criteria.
RESULTS: The majority of the studies were of medical students; internal medicine was the commonest choice (64.3%), with psychiatry and public health receiving lesser attention. In the four available studies of nursing students, midwifery was not chosen at all. There is a paucity of studies on this all-important concept for nursing students. The determining factors of choice of specialty were in four themes: personal, socioeconomic, professional, and educational/policy. Among the barriers to choosing particular specialties were low prestige among colleagues, stigma, long working hours, and poor public recognition.
CONCLUSION: The career choices of health science students do not reflect an adequate mix of health-care team members to meet the health-care needs of the world. Reforms of policy and educational training are needed.
OBJECTIVES: To investigate the feasibility and effectiveness of NPT in scaffolding dermatological learning among preclinical-year medical students.
METHODS: Near-peer teachers who are content experts in dermatology taught alongside conventional teaching with lecturers. We employed five quiz questions before and after the case launch lecture, where students were first exposed to dermatology. We also invited students to provide feedback using a questionnaire on NPT in dermatology at the end of the case 8 teaching week.
RESULTS: In total, 74 students participated in the pre- and post-lecture quiz questions, and 47 completed feedback. There was overwhelmingly positive feedback towards NPT, and various learning theories can help explain the success of this project.
CONCLUSIONS: Preclinical students enjoy dermatological teaching with the involvement of suitable near-peers. With the professional barrier removed, students can better relate to near-peers (and vice versa). Helping students understand the relevance of dermatology in the clinical setting at an early stage and adopting learning tools such as mnemonics, summary tables, comparison tables and mapping teaching with the learning curriculum clearly helped students learn about dermatology.
METHODS: A cross-sectional study was conducted on 11,919 medical students from 27 countries. A newly-developed validated questionnaire was used to collect data on knowledge (14 items), attitude (12 items), and baseline criteria. The relationship between a range of factors with knowledge and attitude was studied using univariate and multivariate analyses.
RESULTS: 46% of the study participants were males; 10.7% were in their sixth year; 54.6% knew about smallpox; 84% received the coronavirus disease 2019 (COVID-19) vaccine; and 12.5% had training on Mpox. 55.3% had good knowledge of Mpox and 51.7% had a positive attitude towards it. Medical students in their third, fifth, or sixth year high- income countries who obtained information on Mpox from friends, research articles, social media and scientific websites were positive predictors for good knowledge. Conversely, being male or coming from high-income countries showed a negative relation with good knowledge about Mpox. Additionally, a positive attitude was directly influenced by residing in urban areas, being in the fifth year of medical education, having knowledge about smallpox and a history of receiving the coronavirus disease 2019 (COVID-19) vaccine. Receiving information about Mpox from social media or scientific websites and possessing good knowledge about Mpox were also predictors of a positive attitude. On the other hand, being male, employed, or receiving a training program about Mpox were inversely predicting positive attitude about Mpox.
CONCLUSION: There were differences in knowledge and attitude towards Mpox between medical students in low and high-income countries, emphasizing the need for incorporating epidemiology of re-emerging diseases like Mpox into the medical curriculum to improve disease prevention and control.
METHOD: A paper-based cross-sectional survey was performed. A pilot-tested questionnaire consisting of 21 questions (demographics 5, knowledge 6, attitude 6, and preparedness 4) was administered to 900 healthcare students at different years of study. Descriptive and inferential analyses were used.
RESULTS: Out of the 900 students approached, 852 (94.7%) completed the questionnaire. The overall students' mean (SD) percentage knowledge score (PKS) was poor [46.7% (18.7)]. The mean (SD) attitude and preparedness scores for all students were 4.68 (1.32), and 1.9 (1.40), respectively, indicating overall positive attitudes, but low preparedness to apply PGx to clinical care. Pharm-D students' overall PKS was significantly higher than medical students (P
METHODS: Twenty-one students who scored at the 90th percentile in written knowledge-based assessment consented to participate in this study. Each student wrote a guided reflective journal and subsequently attended a semi-structured interview. Students were prompted to explain the rationales for their answers. The data were then analysed using thematic analysis to identify patterns among these students from the SRL perspective. Two coders analysed the data independently and discussed the codes to reach a consensus.
RESULTS: High performing students set goals, made plans, and motivated themselves to achieve the goals. They put consistent efforts into their studies and applied effective learning strategies. They also employed coping mechanisms to deal with challenges. High performing students regularly evaluated their performance and adopted new strategies.
CONCLUSIONS: This study reported that high performing students applied SRL and described the rationales of practice. Medical schools could design SRL-driven interventions to enhance the learning experiences of medical students. Recommendations are made for students on how to apply SRL.
METHODS: A validated, online-based survey was disseminated to 670 students from four Malaysian medical schools via random sampling. Scores were classified into good, moderate, or poor knowledge and practice, and positive, neutral, or negative attitude. Mann-Whitney U and Kruskal-Wallis tests were used to analyze the relationship between demographic variables and knowledge, attitude, and practice scores.
RESULTS: A total of 492/670 students responded (response rate: 73.4%). A majority showed negative attitudes (n = 246, 50%), poor knowledge (n = 294, 59.8%), and moderate practice (n = 239, 48.6%). Senior and clinical year students had more negative attitudes. Male students had higher knowledge, while students from private medical schools and preclinical years had better practice. There was a significant relationship between attitude and practice (r = 0.224, P
METHODS: Cross-sectional questionnaires were administered to medical students at three medical schools in Israel, Malaysia, and China, at the end of one academic year. Surveys included demographic data, students' perceived academic rank, two learning environment perceptions scales, and scales for personal growth, goal orientation, burnout and quality of life. Comparative analyses were made to determine the significance of relationships between the outcome measures and control variables, using a series of t-tests. Pearson correlation coefficients were used to test the hypothesis.
RESULTS: Sixty-four percent (400/622) of the students responded. Significant correlations were found between: intrinsic motivation (r(398) =.37, p