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Review
Sample size determination and power analysis using the G*Power software  
Hyun Kang
J Educ Eval Health Prof. 2021;18:17.   Published online July 30, 2021
DOI: https://doi.org/10.3352/jeehp.2021.18.17
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  • 466 Web of Science
  • 483 Crossref
AbstractAbstract PDFSupplementary Material
Appropriate sample size calculation and power analysis have become major issues in research and publication processes. However, the complexity and difficulty of calculating sample size and power require broad statistical knowledge, there is a shortage of personnel with programming skills, and commercial programs are often too expensive to use in practice. The review article aimed to explain the basic concepts of sample size calculation and power analysis; the process of sample estimation; and how to calculate sample size using G*Power software (latest ver. 3.1.9.7; Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany) with 5 statistical examples. The null and alternative hypothesis, effect size, power, alpha, type I error, and type II error should be described when calculating the sample size or power. G*Power is recommended for sample size and power calculations for various statistical methods (F, t, χ2, Z, and exact tests), because it is easy to use and free. The process of sample estimation consists of establishing research goals and hypotheses, choosing appropriate statistical tests, choosing one of 5 possible power analysis methods, inputting the required variables for analysis, and selecting the “calculate” button. The G*Power software supports sample size and power calculation for various statistical methods (F, t, χ2, z, and exact tests). This software is helpful for researchers to estimate the sample size and to conduct power analysis.

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Review Article
The retrospective chart review: important methodological considerations  
Matt Vassar, Holzmann Matthew
J Educ Eval Health Prof. 2013;10:12.   Published online November 30, 2013
DOI: https://doi.org/10.3352/jeehp.2013.10.12
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AbstractAbstract PDF
In this paper, we review and discuss ten common methodological mistakes found in retrospective chart reviews. The retrospective chart review is a widely applicable research methodology that can be used by healthcare disciplines as a means to direct subsequent prospective investigations. In many cases in this review, we have also provided suggestions or accessible resources that researchers can apply as a “best practices” guide when planning, conducting, or reviewing this investigative method.

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Review
Educational applications of metaverse: possibilities and limitations  
Bokyung Kye, Nara Han, Eunji Kim, Yeonjeong Park, Soyoung Jo
J Educ Eval Health Prof. 2021;18:32.   Published online December 13, 2021
DOI: https://doi.org/10.3352/jeehp.2021.18.32
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AbstractAbstract PDFSupplementary Material
This review aims to define the 4 types of the metaverse and to explain the potential and limitations of its educational applications. The metaverse roadmap categorizes the metaverse into 4 types: augmented reality, lifelogging, mirror world, and virtual reality. An example of the application of augmented reality in medical education would be an augmented reality T-shirt that allows students to examine the inside of the human body as an anatomy lab. Furthermore, a research team in a hospital in Seoul developed a spinal surgery platform that applied augmented reality technology. The potential of the metaverse as a new educational environment is suggested to be as follows: a space for new social communication; a higher degree of freedom to create and share; and the provision of new experiences and high immersion through virtualization. Some of its limitations may be weaker social connections and the possibility of privacy impingement; the commission of various crimes due to the virtual space and anonymity of the metaverse; and maladaptation to the real world for students whose identity has not been established. The metaverse is predicted to change our daily life and economy beyond the realm of games and entertainment. The metaverse has infinite potential as a new social communication space. The following future tasks are suggested for the educational use of the metaverse: first, teachers should carefully analyze how students understand the metaverse; second, teachers should design classes for students to solve problems or perform projects cooperatively and creatively; third, educational metaverse platforms should be developed that prevent misuse of student data.

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Editorial
How to train health personnel to protect themselves from SARS-CoV-2 (novel coronavirus) infection when caring for a patient or suspected case
Sun Huh
J Educ Eval Health Prof. 2020;17:10.   Published online March 7, 2020
DOI: https://doi.org/10.3352/jeehp.2020.17.10
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Review Article
Determinants and outcomes of motivation in health professions education: a systematic review based on self-determination theory  
Cesar Orsini, Vivian I. Binnie, Sarah L. Wilson
J Educ Eval Health Prof. 2016;13:19.   Published online May 2, 2016
DOI: https://doi.org/10.3352/jeehp.2016.13.19
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AbstractAbstract PDF
Purpose
This study aimed at conducting a systematic review in health professions education of determinants, mediators and outcomes of students’ motivation to engage in academic activities based on the self-determination theory’s perspective. Methods: A search was conducted across databases (MEDLINE, CINHAL, EMBASE, PsycINFO, and ERIC databases), hand-search of relevant journals, grey literature, and published research profile of key authors. Quantitative and qualitative studies were included if they reported research in health professions education focused on determinants, mediators, and/or outcomes of motivation from the self-determination and if meeting the quality criteria. Results: A total of 17 studies met the inclusion and quality criteria. Articles retrieved came from diverse locations and mainly from medical education and to a lesser extent from psychology and dental education. Intrapersonal (gender and personality traits) and interpersonal determinants (academic conditions and lifestyle, qualitative method of selection, feedback, and an autonomy supportive learning climate) have been reported to have a positive influence on students’ motivation to engage in academic activities. No studies were found that tested mediation effects between determinants and students’ motivation. In turn, students’ self-determined motivation has been found to be positively associated with different cognitive, affective, and behavioural outcomes. Conclusion: This study has found that generally, motivation could be enhanced by changes in the educational environment and by an early detection of students’ characteristics. Doing so may support future health practitioners’ self-determined motivation and positively influence how they process information and their emotions and how they approach their learning activities.

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Research Article
Educational strategies for teaching evidence-based practice to undergraduate health students: systematic review  
Konstantinos Kyriakoulis, Athina Patelarou, Aggelos Laliotis, Andrew C Wan, Michail Matalliotakis, Chrysoula Tsiou, Evridiki Patelarou
J Educ Eval Health Prof. 2016;13:34.   Published online September 22, 2016
DOI: https://doi.org/10.3352/jeehp.2016.13.34
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Purpose
The aim of this systematic review was to find best teaching strategies for teaching evidence-based practice (EBP) to undergraduate health students that have been adopted over the last years in healthcare institutions worldwide. Methods: The authors carried out a systematic, comprehensive bibliographic search using Medline database for the years 2005 to March 2015 (updated in March 2016). Search terms used were chosen from the USNLM Institutes of Health list of MeSH (Medical Subject Headings) and free text key terms were used as well. Selected articles were measured based on the inclusion criteria of this study and initially compared in terms of titles or abstracts. Finally, articles relevant to the subject of this review were retrieved in full text. Critical appraisal was done to determine the effects of strategy of teaching evidence-based medicine (EBM). Results: Twenty articles were included in the review. The majority of the studies sampled medical students (n=13) and only few conducted among nursing (n=2), pharmacy (n=2), physiotherapy/therapy (n=1), dentistry (n=1), or mixed disciplines (n=1) students. Studies evaluated a variety of educational interventions of varying duration, frequency and format (lectures, tutorials, workshops, conferences, journal clubs, and online sessions), or combination of these to teach EBP. We categorized interventions into single interventions covering a workshop, conference, lecture, journal club, or e-learning and multifaceted interventions where a combination of strategies had been assessed. Seven studies reported an overall increase to all EBP domains indicating a higher EBP competence and two studies focused on the searching databases skill. Conclusion: Followings were deduced from above analysis: multifaceted approach may be best suited when teaching EBM to health students; the use of technology to promote EBP through mobile devices, simulation, and the web is on the rise; and the duration of the interventions varying form some hours to even months was not related to the students’ EBP competence.

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Review Article
An overview of ethnography in healthcare and medical education research
Leigh Goodson, Matt Vassar
J Educ Eval Health Prof. 2011;8:4.   Published online April 25, 2011
DOI: https://doi.org/10.3352/jeehp.2011.8.4
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AbstractAbstract PDF
Research in healthcare settings and medical education has relied heavily on quantitative methods. However, there are research questions within these academic domains that may be more adequately addressed by qualitative inquiry. While there are many qualitative approaches, ethnography is one method that allows the researcher to take advantage of relative immersion in order to obtain thick description. The purpose of this article is to introduce ethnography, to describe how ethnographic methods may be utilized, to provide an overview of ethnography's use in healthcare and medical education, and to summarize some key limitations with the method.

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Reviews
E-learning in health professions education during the COVID-19 pandemic: a systematic review  
Aziz Naciri, Mohamed Radid, Ahmed Kharbach, Ghizlane Chemsi
J Educ Eval Health Prof. 2021;18:27.   Published online October 29, 2021
DOI: https://doi.org/10.3352/jeehp.2021.18.27
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AbstractAbstract PDFSupplementary Material
As an alternative to traditional teaching, e-learning has enabled continuity of learning for health professions students during the coronavirus disease 2019 (COVID-19) pandemic. This review explored health professions students; perceptions, acceptance, motivation, and engagement with e-learning during the COVID-19 pandemic. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic review was conducted by consulting 5 databases: PubMed, ERIC (Ebsco), Science Direct, Scopus, and Web of Science. The quality of the included studies was assessed using the Medical Education Research Study Quality Instrument. The research protocol was previously registered in the PROSPERO registry (CRD42021237055). From 250 studies identified, 15 were selected with a total of 111,622 students. Mostly positive perceptions were reported in 7 of 12 studies, which mainly focused on technology access, possession of basic computer skills, pedagogical design of online courses, online interactions, and learning flexibility. However, predominantly negative perceptions were identified in 5 of 12 studies, which pointed out constraints related to internet connections, the use of educational platforms, and acquisition of clinical skills. Satisfactory levels of acceptance of distance learning were reported in 3 of 4 studies. For student motivation and engagement, 1 study reported similar or higher motivation than with traditional teaching, and another study indicated that student engagement significantly increased during the COVID-19 pandemic. Health professions students showed a positive response to e-learning regarding perceptions, acceptance, motivation, and engagement. Future research is needed to remediate the lack of studies addressing health professions students’ motivation and engagement during the COVID-19 pandemic.

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What should medical students know about artificial intelligence in medicine?  
Seong Ho Park, Kyung-Hyun Do, Sungwon Kim, Joo Hyun Park, Young-Suk Lim
J Educ Eval Health Prof. 2019;16:18.   Published online July 3, 2019
DOI: https://doi.org/10.3352/jeehp.2019.16.18
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AbstractAbstract PDFSupplementary Material
Artificial intelligence (AI) is expected to affect various fields of medicine substantially and has the potential to improve many aspects of healthcare. However, AI has been creating much hype, too. In applying AI technology to patients, medical professionals should be able to resolve any anxiety, confusion, and questions that patients and the public may have. Also, they are responsible for ensuring that AI becomes a technology beneficial for patient care. These make the acquisition of sound knowledge and experience about AI a task of high importance for medical students. Preparing for AI does not merely mean learning information technology such as computer programming. One should acquire sufficient knowledge of basic and clinical medicines, data science, biostatistics, and evidence-based medicine. As a medical student, one should not passively accept stories related to AI in medicine in the media and on the Internet. Medical students should try to develop abilities to distinguish correct information from hype and spin and even capabilities to create thoroughly validated, trustworthy information for patients and the public.

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Research Article
Reflective writing and its impact on empathy in medical education: systematic review  
Isabel Chen, Connor Forbes
J Educ Eval Health Prof. 2014;11:20.   Published online August 16, 2014
DOI: https://doi.org/10.3352/jeehp.2014.11.20
  • 45,373 View
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  • 78 Web of Science
  • 70 Crossref
AbstractAbstract PDF
Purpose
Medical schools are increasingly aware of the ways in which physician empathy can have a profound impact on patients’ lives and have developed humanities initiatives to address this concern. Reflective writing in particular is more commonly promoted in medical curricula, but there is limited research on the impact of reflective writing on medical student empathy levels. It aims to find the emotional effects of reflective writing interventions on medical and healthcare students by systemic review. Methods: Two investigators independently reviewed educational publications for critical analysis. This review focused systematically on quantitative papers that measure the impact of reflective writing on empathy. Results: Of the 1,032 studies found on Medline and CINAHL, only 8 used quantitative measures pre- and postwritten reflection to measure any impact on empathy outcomes. The outcomes measured included impact of reflective writing exercises on student wellness, aptitude, and/or clinical skills. Of these studies, a significant change in student empathy was observed in 100% of the studies, demonstrating a significant change in outcomes. Conclusion: Although the lack of homogeneity in outcome measurement in the literature limits possible conclusion from this review, the overwhelmingly positive reporting of outcomes suggests that reflective writing should be considered in any medical curriculum.

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Brief report
Are ChatGPT’s knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination?: a descriptive study  
Sun Huh
J Educ Eval Health Prof. 2023;20:1.   Published online January 11, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.1
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AbstractAbstract PDFSupplementary Material
This study aimed to compare the knowledge and interpretation ability of ChatGPT, a language model of artificial general intelligence, with those of medical students in Korea by administering a parasitology examination to both ChatGPT and medical students. The examination consisted of 79 items and was administered to ChatGPT on January 1, 2023. The examination results were analyzed in terms of ChatGPT’s overall performance score, its correct answer rate by the items’ knowledge level, and the acceptability of its explanations of the items. ChatGPT’s performance was lower than that of the medical students, and ChatGPT’s correct answer rate was not related to the items’ knowledge level. However, there was a relationship between acceptable explanations and correct answers. In conclusion, ChatGPT’s knowledge and interpretation ability for this parasitology examination were not yet comparable to those of medical students in Korea.

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Research Article
How to encourage intrinsic motivation in the clinical teaching environment?: a systematic review from the self-determination theory  
Cesar Orsini, Phillip Evans, Oscar Jerez
J Educ Eval Health Prof. 2015;12:8.   Published online April 8, 2015
DOI: https://doi.org/10.3352/jeehp.2015.12.8
  • 50,862 View
  • 528 Download
  • 65 Web of Science
  • 65 Crossref
AbstractAbstract PDF
Purpose
Internalization of students’ motivation towards an intrinsic form is associated with increased interest, commitment, learning, and satisfaction with education. Self-Determination theory postulates that intrinsic motivation and autonomous forms of self-regulation are the desired type of motivation; as they have been associated with deep learning, better performance and well-being. It claims three basic psychological needs have to be satisfied in order to achieve intrinsic motivation. These are the needs for autonomy, competence and relatedness. This study aims to provide a review on how these basic psychological needs are encouraged in undergraduate students so they can be transferred to the clinical teaching environment. Methods: Electronic searches were performed across four databases (Medline, Embase, PsycINFO, and ERIC), relevant journals, and retrieved bibliography of selected articles. In total, searches produced 4,869 references, from which 16 studies met the inclusion criteria. Results: Main themes were coded in three categories: The support of autonomy, competence and relatedness. The research-based evidence appears to be of reasonable quality, and indicates that teachers should work to satisfy students’ basic psychological needs to foster internalization of self-regulation. Our findings suggest that teachers should interact with students in a more ‘human centred’ teaching style, as these actions predict motivational internalization. Several themes emerged from different contexts and further investigation should expand them. Conclusion: This review identified actions that clinical teachers could implement in their daily work to support students’ self-determination. Autonomy supportive teaching in health professions educations would benefit students and may actually result in more effective health care delivery.

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Editorial
Training in lung cancer surgery through the metaverse, including extended reality, in the smart operating room of Seoul National University Bundang Hospital, Korea
Huilyung Koo
J Educ Eval Health Prof. 2021;18:33.   Published online December 31, 2021
DOI: https://doi.org/10.3352/jeehp.2021.18.33
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Review Article
The Future of e-Learning in Medical Education: Current Trend and Future Opportunity
Sara Kim
J Educ Eval Health Prof. 2006;3:3.   Published online September 12, 2006
DOI: https://doi.org/10.3352/jeehp.2006.3.3
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  • 573 Download
  • 53 Crossref
AbstractAbstract PDF
A wide range of e-learning modalities are widely integrated in medical education. However, some of the key questions related to the role of e-learning remain unanswered, such as (1) what is an effective approach to integrating technology into pre-clinical vs. clinical training?; (2) what evidence exists regarding the type and format of e-learning technology suitable for medical specialties and clinical settings?; (3) which design features are known to be effective in designing on-line patient simulation cases, tutorials, or clinical exams?; and (4) what guidelines exist for determining an appropriate blend of instructional strategies, including online learning, face-to-face instruction, and performance-based skill practices? Based on the existing literature and a variety of e-learning examples of synchronous learning tools and simulation technology, this paper addresses the following three questions: (1) what is the current trend of e-learning in medical education?; (2) what do we know about the effective use of e-learning?; and (3) what is the role of e-learning in facilitating newly emerging competency-based training? As e-learning continues to be widely integrated in training future physicians, it is critical that our efforts in conducting evaluative studies should target specific e-learning features that can best mediate intended learning goals and objectives. Without an evolving knowledge base on how best to design e-learning applications, the gap between what we know about technology use and how we deploy e-learning in training settings will continue to widen.

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Research Article
Flipping the advanced cardiac life support classroom with team-based learning: comparison of cognitive testing performance for medical students at the University of California, Irvine, United States  
Megan Boysen-Osborn, Craig L. Anderson, Roman Navarro, Justin Yanuck, Suzanne Strom, Christopher E. McCoy, Julie Youm, Mary Frances Ypma-Wong, Mark I. Langdorf
J Educ Eval Health Prof. 2016;13:11.   Published online February 18, 2016
DOI: https://doi.org/10.3352/jeehp.2016.13.11
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AbstractAbstract PDF
Purpose
It aimed to find if written test results improved for advanced cardiac life support (ACLS) taught in flipped classroom/team-based Learning (FC/TBL) vs. lecture-based (LB) control in University of California-Irvine School of Medicine, USA. Methods: Medical students took 2010 ACLS with FC/TBL (2015), compared to 3 classes in LB (2012-14) format. There were 27.5 hours of instruction for FC/TBL model (TBL 10.5, podcasts 9, small-group simulation 8 hours), and 20 (12 lecture, simulation 8 hours) in LB. TBL covered 13 cardiac cases; LB had none. Seven simulation cases and didactic content were the same by lecture (2012-14) or podcast (2015) as was testing: 50 multiple-choice questions (MCQ), 20 rhythm matchings, and 7 fill-in clinical cases. Results: 354 students took the course (259 [73.1%] in LB in 2012-14, and 95 [26.9%] in FC/TBL in 2015). Two of 3 tests (MCQ and fill-in) improved for FC/TBL. Overall, median scores increased from 93.5% (IQR 90.6, 95.4) to 95.1% (92.8, 96.7, P=0.0001). For the fill-in test: 94.1% for LB (89.6, 97.2) to 96.6% for FC/TBL (92.4, 99.20 P=0.0001). For MC: 88% for LB (84, 92) to 90% for FC/TBL (86, 94, P=0.0002). For the rhythm test: median 100% for both formats. More students failed 1 of 3 tests with LB vs. FC/TBL (24.7% vs. 14.7%), and 2 or 3 components (8.1% vs. 3.2%, P=0.006). Conversely, 82.1% passed all 3 with FC/TBL vs. 67.2% with LB (difference 14.9%, 95% CI 4.8-24.0%). Conclusion: A FC/TBL format for ACLS marginally improved written test results.

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JEEHP : Journal of Educational Evaluation for Health Professions