Purpose The decision to enroll in medical school is largely influenced by extrinsic motivation factors. It is necessary to explore the factors that affect pre-med students’ motivation to enter medical school and their college adjustment, and to develop measures to help them adjust.
Methods A total of 407 pre-med students were surveyed regarding their motivation to enter medical school, fear of failure, and college adjustment. We analyzed the latent profiles of extrinsic motivation factors using latent profile analysis. One-way analysis of variance was conducted to examine the differences in fear of failure and adaptation to university life according to the latent groups.
Results After analyzing the latent profiles of entrance motivation, three latent profiles were selected. They were divided into high, medium, and low extrinsic motivation groups. Three profiles scored the highest on job security, followed by good grades and social status. Sophomores were more likely to be high extrinsic motivators than freshmen were. Fear of failure was high in the group with high extrinsic motivation, and adaptation to college life was highest in the group with low extrinsic motivation.
Conclusion Job security was the most important extrinsic motivator for entering medical school, and extrinsic entrance motivation influenced fear of failure and college adjustment. Given the high level of extrinsic motivation among medical students, it is meaningful to analyze the extrinsic motivation profile of entering medical students and how it affects failure motivation and college adjustment.
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Purpose The study examines changes in students’ self-assessment of their general communication (GC) and medical communication (MC) competencies, as well as perceptions of MC concepts.
Methods Participants included 108 second year medical students enrolled at a Korean medical school studying an MC curriculum. It was divided into three sections, and participants responded to questionnaires before and after completing each section. To assess perceived GC and MC competency, items based on a 7-point Likert scale were employed; a single open-ended item was used to examine students’ perceptions of MC. Statistical analysis was conducted to gauge GC and MC competency, whereas semantic network analysis was used to investigate students’ perceptions of MC.
Results Students perceived their GC competency to be higher than MC. Perceived MC competency differed significantly across the three sections, whereas no differences were found for GC. There were no statistically significant differences after completing the curriculum’s second and third sections; however, the vocabulary students used to describe MC concepts became more scholarly and professional. In the semantic networks, the link structure between MC-related words decreased in linearity and looseness, becoming more complex and clustered. The words ‘information’ and ‘transfer’ proved integral to students’ perceptions; likewise, ‘empathy’ and ‘communication’ became closely connected in a single community from two independent communities.
Conclusion This study differed from prior research by conducting an in-depth analysis of changes in students’ perceptions of MC, and its findings can be used to guide curriculum development.
Purpose The purpose of this study is to analyze the differences in the perception of the “good doctor” image between faculty and students, based on the competencies of the “Korean doctor's role.”
Methods The study sample comprised 418 students and 49 faculty members in medical school. They were asked to draw images of a “good doctor,” and the competencies were then analyzed using the Draw-A-Scientist test and the social network program Netminer 4.0.
Results Of the competency areas, “communication and collaboration with patient” and “medical knowledge and clinical skills” were the most frequently expressed, and “education and research,” “professionalism,” and “social accountability” were less commonly expressed. Images of a good doctor by the faculty focused on competencies that were directly related to current clinical doctors. Conversely, those by the students expressed various competencies equally.
Conclusion We have provided basic data for faculties and schools to plan various education strategies to help students establish the image of a good doctor and develop the necessary competencies as physicians.
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Methods The main variables were keywords from research papers that were published in KJME. Abstracts of papers (n=499) that were published from 1991 through 2015 were analyzed by social network analysis (NetMiner 4.0) a common research method
for trends in academic subjects.
Results The most central keywords were ”medical education,” ”clinical competence,” ”medical student,” and ”curriculum.” After introduction into graduate medical school, newly appearing keywords were ”professional behavior,” ”medical humanities,” ”communication,”
and ”physician-patient relation.” Based on these results, we generated a schematic of the network, in which the five groups before introduction to graduate medical school expanded to nine groups after introduction.
Conclusion Medical education research has been improving qualitatively and quantitatively, and research subjects have been expanded, subdivided, and specific. While KJME has encompassed medical education studies comprehensively, studies on medical students have risen in number. Thus, the studies that are published in KJME were consistent with the direction of journal and a new study on the changes in medical education is being conducted.
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Results Six factors with 40 items were extracted through the exploratory factor analysis: academic stress (9 items); clerkship stress (11 items); interpersonal stress (7 items); career stress (8 items); health-related stress (3 items); and financial stress (2 items). These factors showed a statistically significant correlation. The confirmatory factor analysis demonstrated a favorable RMSEA (0.053) and reasonable fit (CFI=0.847, TLI=0.833). Cronbach α values of the six factors ranged from 0.63 to 0.85.
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Purpose The purpose of the study is to develop education programs for improving medical school students’ medical communication ability, and to provide basic information to help develop and operate medical communication education programs by analyzing the education programs and students satisfaction from the education effects.
Methods The method was to survey 116 sophomores in C medical school in 2014 in order to research students’ demands for the medical communication education, level differences of communication between before and after of the education, and students’ satisfaction from the education program. Analysis of frequency, paired samples t-test, descriptive statistic analysis were used for the research.
Results There were not only many students who did not get general communication educations before admission, but also many students who said they need medical communication education. On the whole, students’ abilities of communication were improved. Building relationship, information gathering, sharing information, understanding one’s perspectives factors was improved meaningfully in the statistics. However opening relationship, reach agreement, and providing closure were not improved meaningfully in the statistics. On the whole, the students were satisfied from the education programs.
Conclusion To develop education programs for medical communication ability, we need to construct the objectives of education and contents by researching students’ demands and level of learning in communication area. Moreover we have to design curriculum to maintain the education effects consistently.
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PURPOSE This study aimed to explore the relationship between students' seating preferences and academic achievement in medical school.
METHODS The subjects of this study were 109 second-year students in C medical school. The pattern of seat selection of 109 students was surveyed by participant observation for 48 days, and a questionnaire was administered to determine the factors that were considered by students. Using SPSS version 12.0, we analyzed the factors that students considered with regard to seat selection and seat preference and the frequency of seat movements between areas. We performed one-way ANOVA to analyze the differences in academic achievement between students who moved seats versus those who did not.
RESULTS The most common reasons for seat selection were to focus better on the lecture (60 students), to focus better on lecture, and to feel familiar with the same seat (60 students). Students' preferred seats were in rows A4, A7, A5, and A3 (in descending order), which are primarily the central sections, and columns B15, B1, B14, B19 (in descending order), which are primarily both ends of the division. The difference in academic achievement between students who moved seats and those who did not was not significant (p>0.05). Among students who did not move seats, the difference in academic achievement between 9 seating areas was not significant in 6 subjects (p>0.05).
CONCLUSION The results of this study suggest that we should reconsider a professor's general perception regarding academic achievement according to seat location.
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