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Research articles
Medical students’ patterns of using ChatGPT as a feedback tool and perceptions of ChatGPT in a Leadership and Communication course in Korea: a cross-sectional study  
Janghee Park
J Educ Eval Health Prof. 2023;20:29.   Published online November 10, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.29
  • 1,414 View
  • 137 Download
  • 2 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
This study aimed to analyze patterns of using ChatGPT before and after group activities and to explore medical students’ perceptions of ChatGPT as a feedback tool in the classroom.
Methods
The study included 99 2nd-year pre-medical students who participated in a “Leadership and Communication” course from March to June 2023. Students engaged in both individual and group activities related to negotiation strategies. ChatGPT was used to provide feedback on their solutions. A survey was administered to assess students’ perceptions of ChatGPT’s feedback, its use in the classroom, and the strengths and challenges of ChatGPT from May 17 to 19, 2023.
Results
The students responded by indicating that ChatGPT’s feedback was helpful, and revised and resubmitted their group answers in various ways after receiving feedback. The majority of respondents expressed agreement with the use of ChatGPT during class. The most common response concerning the appropriate context of using ChatGPT’s feedback was “after the first round of discussion, for revisions.” There was a significant difference in satisfaction with ChatGPT’s feedback, including correctness, usefulness, and ethics, depending on whether or not ChatGPT was used during class, but there was no significant difference according to gender or whether students had previous experience with ChatGPT. The strongest advantages were “providing answers to questions” and “summarizing information,” and the worst disadvantage was “producing information without supporting evidence.”
Conclusion
The students were aware of the advantages and disadvantages of ChatGPT, and they had a positive attitude toward using ChatGPT in the classroom.

Citations

Citations to this article as recorded by  
  • Opportunities, challenges, and future directions of large language models, including ChatGPT in medical education: a systematic scoping review
    Xiaojun Xu, Yixiao Chen, Jing Miao
    Journal of Educational Evaluation for Health Professions.2024; 21: 6.     CrossRef
  • Embracing ChatGPT for Medical Education: Exploring Its Impact on Doctors and Medical Students
    Yijun Wu, Yue Zheng, Baijie Feng, Yuqi Yang, Kai Kang, Ailin Zhao
    JMIR Medical Education.2024; 10: e52483.     CrossRef
  • ChatGPT and Clinical Training: Perception, Concerns, and Practice of Pharm-D Students
    Mohammed Zawiah, Fahmi Al-Ashwal, Lobna Gharaibeh, Rana Abu Farha, Karem Alzoubi, Khawla Abu Hammour, Qutaiba A Qasim, Fahd Abrah
    Journal of Multidisciplinary Healthcare.2023; Volume 16: 4099.     CrossRef
  • Information amount, accuracy, and relevance of generative artificial intelligence platforms’ answers regarding learning objectives of medical arthropodology evaluated in English and Korean queries in December 2023: a descriptive study
    Hyunju Lee, Soobin Park
    Journal of Educational Evaluation for Health Professions.2023; 20: 39.     CrossRef
Development of a character qualities test for medical students in Korea using polytomous item response theory and factor analysis: a preliminary scale development study  
Yera Hur, Dong Gi Seo
J Educ Eval Health Prof. 2023;20:20.   Published online June 26, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.20
  • 1,294 View
  • 101 Download
AbstractAbstract PDFSupplementary Material
Purpose
This study aimed to develop a test scale to measure the character qualities of medical students as a follow-up study on the 8 core character qualities revealed in a previous report.
Methods
In total, 160 preliminary items were developed to measure 8 core character qualities. Twenty questions were assigned to each quality, and a questionnaire survey was conducted among 856 students in 5 medical schools in Korea. Using the partial credit model, polytomous item response theory analysis was carried out to analyze the goodness-of-fit, followed by exploratory factor analysis. Finally, confirmatory factor and reliability analyses were conducted with the final selected items.
Results
The preliminary items for the 8 core character qualities were administered to the participants. Data from 767 students were included in the final analysis. Of the 160 preliminary items, 25 were removed by classical test theory analysis and 17 more by polytomous item response theory assessment. A total of 118 items and sub-factors were selected for exploratory factor analysis. Finally, 79 items were selected, and the validity and reliability were confirmed through confirmatory factor analysis and intra-item relevance analysis.
Conclusion
The character qualities test scale developed through this study can be used to measure the character qualities corresponding to the educational goals and visions of individual medical schools in Korea. Furthermore, this measurement tool can serve as primary data for developing character qualities tools tailored to each medical school’s vision and educational goals.
Identifying the nutrition support nurses’ tasks using importance–performance analysis in Korea: a descriptive study  
Jeong Yun Park
J Educ Eval Health Prof. 2023;20:3.   Published online January 18, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.3
  • 1,527 View
  • 130 Download
AbstractAbstract PDFSupplementary Material
Purpose
Nutrition support nurse is a member of a nutrition support team and is a health care professional who takes a significant part in all aspects of nutritional care. This study aims to investigate ways to improve the quality of tasks performed by nutrition support nurses through survey questionnaires in Korea.
Methods
An online survey was conducted between October 12 and November 31, 2018. The questionnaire consists of 36 items categorized into 5 subscales: nutrition-focused support care, education and counseling, consultation and coordination, research and quality improvement, and leadership. The importance–performance analysis method was used to confirm the relationship between the importance and performance of nutrition support nurses’ tasks.
Results
A total of 101 nutrition support nurses participated in this survey. The importance (5.56±0.78) and performance (4.50±1.06) of nutrition support nurses’ tasks showed a significant difference (t=11.27, P<0.001). Education, counseling/consultation, and participation in developing their processes and guidelines were identified as low-performance activities compared with their importance.
Conclusion
To intervene nutrition support effectively, nutrition support nurses should have the qualification or competency through the education program based on their practice. Improved awareness of nutrition support nurses participating in research and quality improvement activity for role development is required.
The sights and insights of examiners in objective structured clinical examinations  
Lauren Chong, Silas Taylor, Matthew Haywood, Barbara-Ann Adelstein, Boaz Shulruf
J Educ Eval Health Prof. 2017;14:34.   Published online December 27, 2017
DOI: https://doi.org/10.3352/jeehp.2017.14.34
  • 31,253 View
  • 397 Download
  • 33 Web of Science
  • 32 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
The objective structured clinical examination (OSCE) is considered to be one of the most robust methods of clinical assessment. One of its strengths lies in its ability to minimise the effects of examiner bias due to the standardisation of items and tasks for each candidate. However, OSCE examiners’ assessment scores are influenced by several factors that may jeopardise the assumed objectivity of OSCEs. To better understand this phenomenon, the current review aims to determine and describe important sources of examiner bias and the factors affecting examiners’ assessments.
Methods
We performed a narrative review of the medical literature using Medline. All articles meeting the selection criteria were reviewed, with salient points extracted and synthesised into a clear and comprehensive summary of the knowledge in this area.
Results
OSCE examiners’ assessment scores are influenced by factors belonging to 4 different domains: examination context, examinee characteristics, examinee-examiner interactions, and examiner characteristics. These domains are composed of several factors including halo, hawk/dove and OSCE contrast effects; the examiner’s gender and ethnicity; training; lifetime experience in assessing; leadership and familiarity with students; station type; and site effects.
Conclusion
Several factors may influence the presumed objectivity of examiners’ assessments, and these factors need to be addressed to ensure the objectivity of OSCEs. We offer insights into directions for future research to better understand and address the phenomenon of examiner bias.

Citations

Citations to this article as recorded by  
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    Pooja Dewan, Sumaira Khalil, Piyush Gupta
    Clinical Epidemiology and Global Health.2024; 25: 101477.     CrossRef
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    Beatriz Ibáñez, Andrew T. Jones, D. Rohan Jeyarajah, Daniel L. Dent, Caroline Prendergast, Carol L. Barry
    Journal of Surgical Education.2024; 81(4): 578.     CrossRef
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    American Journal of Obstetrics and Gynecology.2023; 228(2): 133.     CrossRef
  • Quality Management of Objective Structured Clinical Examinations at a Multicampus Nursing College: A Pilot Study
    Thandolwakhe Nyangeni, Dalena R.M. van Rooyen, Wilma ten Ham-Baloyi
    Journal of Nursing Education.2023; 62(3): 155.     CrossRef
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    Feng Zhu, Li Wu, Xiuxiu Shao, Lijuan Huang, Xiangfeng Meng, Rongrong Nie
    BMC Medical Education.2023;[Epub]     CrossRef
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    Sebastian Dewhirst, Timothy J. Wood, Warren J. Cheung, Jason R. Frank
    Medical Education.2023;[Epub]     CrossRef
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    Craig Brown, Mintu Nath, Wendy Watson, Mary Joan Macleod
    Journal of Applied Research in Higher Education.2023;[Epub]     CrossRef
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    Michael Sheppard, Stephanie Johnson, Victor Quiroz, John Ward
    Journal of Chiropractic Education.2023; 37(2): 157.     CrossRef
  • PERCEPTION OF MEDICAL STUDENTS AND EXAMINERS TOWARDS OBJECTIVE STRUCTURED CLINICAL EXAMINATION: A FEEDBACK FOR IMPROVEMENT
    Rozhan Sediq, Jamal Salih, Fattah Fattah, Adnan Hassan
    JOURNAL OF SULAIMANI MEDICAL COLLEGE.2023; 13(1): 57.     CrossRef
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    Mohamed Guled, Juned Islam, Haseeb Qureshi
    Medical Teacher.2022; 44(1): 101.     CrossRef
  • Comparison of OSCE performance between 6- and 7-year medical school curricula in Taiwan
    Jr-Wei Wu, Hao-Min Cheng, Shiau-Shian Huang, Jen-Feng Liang, Chia-Chang Huang, Ling-Yu Yang, Boaz Shulruf, Ying-Ying Yang, Chen-Huan Chen, Ming-Chih Hou, Wayne Huey-Herng Sheu
    BMC Medical Education.2022;[Epub]     CrossRef
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    Ensieh Fooladi, Md Nazmul Karim, Sheila Vance, Lorraine Walker, Maya Ebrahimi Zanjani, Dragan Ilic, Gabrielle Brand
    Frontiers in Medicine.2022;[Epub]     CrossRef
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    Asser Sallam, Hani Atwa, Adel Abdelaziz, Asmaa Abdel Nasser
    Journal of Ecophysiology and Occupational Health.2022; 22(1): 29.     CrossRef
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    Mary Roduta Roberts, Chad M. Gotch, Megan Cook, Karin Werther, Iris C. I. Chao
    Measurement: Interdisciplinary Research and Perspectives.2022; 20(3): 139.     CrossRef
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    Journal of the Chinese Medical Association.2022; 85(9): 909.     CrossRef
  • Development and Evaluation of an Online Exam for Exercise Physiology During the COVID-19 Pandemic
    Amanda L Burdett, Nancy van Doorn, Matthew D Jones, Natalie CG Kwai, Rachel E Ward, Silas Taylor, Boaz Shulruf
    Journal of Clinical Exercise Physiology.2022; 11(4): 122.     CrossRef
  • eOSCE stations live versus remote evaluation and scores variability
    Donia Bouzid, Jimmy Mullaert, Aiham Ghazali, Valentine Marie Ferré, France Mentré, Cédric Lemogne, Philippe Ruszniewski, Albert Faye, Alexy Tran Dinh, Tristan Mirault, Nathan Peiffer Smadja, Léonore Muller, Laure Falque Pierrotin, Michael Thy, Maksud Assa
    BMC Medical Education.2022;[Epub]     CrossRef
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    Journal of Educational Evaluation for Health Professions.2022; 19: 27.     CrossRef
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    Matt Homer
    Advances in Health Sciences Education.2021; 26(2): 369.     CrossRef
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    Majid Yousefi Afrashteh
    BMC Medical Education.2021;[Epub]     CrossRef
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    Bunmi S. Malau‐Aduli, Richard B. Hays, Karen D’Souza, Amy M. Smith, Karina Jones, Richard Turner, Lizzi Shires, Jane Smith, Shannon Saad, Cassandra Richmond, Antonio Celenza, Tarun Sen Gupta
    Medical Education.2021; 55(3): 344.     CrossRef
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    Medical Science Educator.2021; 31(6): 1803.     CrossRef
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    Henok Fisseha, Hailemichael Desalegn
    Advances in Medical Education and Practice.2021; Volume 12: 1439.     CrossRef
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Brief Report
Effectiveness of pre-admission data and letters of recommendation to predict students who will need professional behavior intervention during clinical rotations in the United States  
Chalee Engelhard, Rebecca Leugers, Jenna Stephan
J Educ Eval Health Prof. 2016;13:26.   Published online June 27, 2016
DOI: https://doi.org/10.3352/jeehp.2016.13.26
  • 27,427 View
  • 295 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDF
The study aimed at finding the value of letters of recommendation in predicting professional behavior problems in the clinical portion of a Doctor of Physical Therapy program learning cohorts from 2009-2014 in the United States. De-identified records of 137 Doctor of Physical Therapy graduates were examined by the descriptive statistics and comparison analysis. Thirty letters of recommendation were investigated based on grounded theory from 10 student applications with 5 randomly selected students of interest and 5 non-students of interest. Critical thinking, organizational skills, and judgement were statistically significant and quantitative differentiating characteristics. Qualitatively, significant characteristics of the student of interest included effective communication and cultural competency. Meanwhile, those of nonstudents of interest included conflicting personality descriptor, commitment to learning, balance, teamwork skills, potential future success, compatible learning skills, effective leadership skills, and emotional intelligence. Emerged significant characteristics did not consistently match common non-professional behavior issues encountered in clinic. Pre-admission data and letters of recommendation appear of limited value in predicting professional behavior performance in clinic.

Citations

Citations to this article as recorded by  
  • The Vital Role of Professionalism in Physical Medicine and Rehabilitation
    Julie K. Silver, Sara Cuccurullo, Lyn D. Weiss, Christopher Visco, Mooyeon Oh-Park, Danielle Perret Karimi, Walter R. Frontera, Talya K. Fleming, Glendaliz Bosques, Saurabha Bhatnagar, Anne Felicia Ambrose, Vu Q.C. Nguyen
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Research Article
Teamwork education improves trauma team performance in undergraduate health professional students  
Valerie O’Toole Baker, Ronald Cuzzola, Carolyn Knox, Cynthia Liotta, Charles S. Cornfield, Robert D. Tarkowski, Carolynn Masters, Michael McCarthy, Suzanne Sturdivant, Jestin N. Carlson
J Educ Eval Health Prof. 2015;12:36.   Published online June 25, 2015
DOI: https://doi.org/10.3352/jeehp.2015.12.36
  • 34,721 View
  • 300 Download
  • 32 Web of Science
  • 31 Crossref
AbstractAbstract PDF
Purpose
Effective trauma resuscitation requires efficient and coordinated care from a team of providers; however, providers are rarely instructed on how to be effective members of trauma teams. Team-based learning using Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS) has been shown to improve team dynamics among practicing professionals, including physicians and nurses. The impact of TeamSTEPPS on students being trained in trauma management in an undergraduate health professional program is currently unknown. We sought to determine the impact of TeamSTEPPS on team dynamics among undergraduate students being trained in trauma resuscitation. Methods: We enrolled teams of undergraduate health professional students from four programs: nursing, physician assistant, radiologic science, and respiratory care. After completing an online training on trauma resuscitation principles, the participants completed a trauma resuscitation scenario. The participants then received teamwork training using TeamSTEPPS and completed a second trauma resuscitation scenario identical to the first. All resuscitations were recorded and scored offline by two blinded research assistants using both the Team Emergency Assessment Measure (TEAM) and Trauma Team Performance Observation Tool (TPOT) scoring systems. Pre-test and post-test TEAM and TPOT scores were compared. Results: We enrolled a total of 48 students in 12 teams. Team leadership, situational monitoring, and overall communication improved with TeamSTEPPS training (P= 0.04, P=0.02, and P=0.03, respectively), as assessed by the TPOT scoring system. TeamSTEPPS also improved the team’s ability to prioritize tasks and work together to complete tasks in a rapid manner (P<0.01 and P=0.02, respectively) as measured by TEAM. Conclusions: Incorporating TeamSTEPPS into trauma team education leads to improved TEAM and TPOT scores among undergraduate health professionals.

Citations

Citations to this article as recorded by  
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    Minahil Khan, Fabio Botelho, Laura Pinkham, Elena Guadagno, Dan Poenaru
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    John T Paige, Deborah D Garbee, Qingzhao Yu, John Zahmjahn, Raquel Baroni de Carvalho, Lin Zhu, Vadym Rusnak, Vladimir J Kiselov
    BMJ Simulation and Technology Enhanced Learning.2021; : bmjstel-2020-000685.     CrossRef
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    Annals of Plastic Surgery.2021; 87(2): 206.     CrossRef
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    International Emergency Nursing.2021; 59: 101073.     CrossRef
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    Journal of Nursing Education.2020; 59(11): 610.     CrossRef
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    Elena Bohomol
    Escola Anna Nery.2019;[Epub]     CrossRef
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    Alissa S. Chen, Bernice Yau, Lee Revere, Jennifer Swails
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    Cory McLaughlin, Wesley Barry, Erica Barin, Lynn Kysh, Marc A. Auerbach, Jeffrey S. Upperman, Randall S. Burd, Aaron R. Jensen
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    Catherine Chang, Jeffrey Perlman
    Seminars in Fetal and Neonatal Medicine.2019; 24(6): 101031.     CrossRef
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    Mingqiao Luan, Hong Ren, Xuguang Hao
    Frontiers in Psychology.2019;[Epub]     CrossRef
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    Penny A. Sauer, C. Elise Thompson, Margaret M. Verzella
    Clinical Simulation in Nursing.2018; 21: 40.     CrossRef
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    Katerina Vichova, Martin Hromada, N. Mastorakis, V. Mladenov, A. Bulucea
    MATEC Web of Conferences.2018; 210: 02026.     CrossRef
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    Eamon Merrick, Margaret Fry, Janie Busby Grant
    Emergency Medicine Australasia.2017; 29(5): 584.     CrossRef
  • Crisis Team Management in a Scarce Resource Setting: Angkor Hospital for Children in Siem Reap, Cambodia
    Richard Alynn Henker, Hiroko Henker, Hor Eng, John O’Donnell, Tachawan Jirativanont
    Frontiers in Public Health.2017;[Epub]     CrossRef
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    Nursing Education Perspectives.2017; 38(5): 275.     CrossRef
  • Measuring teamwork performance: Validity testing of the Team Emergency Assessment Measure (TEAM) with clinical resuscitation teams
    Simon Cooper, Robyn Cant, Cliff Connell, Lyndall Sims, Joanne E. Porter, Mark Symmons, Debra Nestel, Sok Ying Liaw
    Resuscitation.2016; 101: 97.     CrossRef
  • Improving the non‐technical skills of hospital medical emergency teams: The Team Emergency Assessment Measure (TEAM™)
    Robyn P Cant, Joanne E Porter, Simon J Cooper, Kate Roberts, Ian Wilson, Christopher Gartside
    Emergency Medicine Australasia.2016; 28(6): 641.     CrossRef

JEEHP : Journal of Educational Evaluation for Health Professions