Journal of Educational Evaluation for Health Professions最新文献

{"title":"Development and validity evidence for the resident-led large group teaching assessment instrument in the United States: a methodological study.","authors":"Ariel Shana Frey-Vogel, Kristina Dzara, Kimberly Anne Gifford, Yoon Soo Park, Justin Berk, Allison Heinly, Darcy Wolcott, Daniel Adam Hall, Shannon Elliott Scott-Vernaglia, Katherine Anne Sparger, Erica Ye-Pyng Chung","doi":"10.3352/jeehp.2024.21.3","DOIUrl":"10.3352/jeehp.2024.21.3","url":null,"abstract":"<p><strong>Purpose: </strong>Despite educational mandates to assess resident teaching competence, limited instruments with validity evidence exist for this purpose. Existing instruments do not allow faculty to assess resident-led teaching in a large group format or whether teaching was interactive. This study gathers validity evidence on the use of the Resident-led Large Group Teaching Assessment Instrument (Relate), an instrument used by faculty to assess resident teaching competency. Relate comprises 23 behaviors divided into six elements: learning environment, goals and objectives, content of talk, promotion of understanding and retention, session management, and closure.</p><p><strong>Methods: </strong>Messick's unified validity framework was used for this study. Investigators used video recordings of resident-led teaching from three pediatric residency programs to develop Relate and a rater guidebook. Faculty were trained on instrument use through frame-of-reference training. Resident teaching at all sites was video-recorded during 2018-2019. Two trained faculty raters assessed each video. Descriptive statistics on performance were obtained. Validity evidence sources include: rater training effect (response process), reliability and variability (internal structure), and impact on Milestones assessment (relations to other variables).</p><p><strong>Results: </strong>Forty-eight videos, from 16 residents, were analyzed. Rater training improved inter-rater reliability from 0.04 to 0.64. The Φ-coefficient reliability was 0.50. There was a significant correlation between overall Relate performance and the pediatric teaching Milestone, r = 0.34, P = .019.</p><p><strong>Conclusion: </strong>Relate provides validity evidence with sufficient reliability to measure resident-led large-group teaching competence.</p>","PeriodicalId":46098,"journal":{"name":"Journal of Educational Evaluation for Health Professions","volume":"21 ","pages":"3"},"PeriodicalIF":4.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10948941/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139933504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ChatGPT (GPT-4) passed the Japanese National License Examination for Pharmacists in 2022, answering all items including those with diagrams: a descriptive study.","authors":"Hiroyasu Sato, Katsuhiko Ogasawara","doi":"10.3352/jeehp.2024.21.4","DOIUrl":"10.3352/jeehp.2024.21.4","url":null,"abstract":"<p><strong>Purpose: </strong>The objective of this study was to assess the performance of ChatGPT (GPT-4) on all items, including those with diagrams, in the Japanese National License Examination for Pharmacists (JNLEP) and compare it with the previous GPT-3.5 model’s performance.</p><p><strong>Methods: </strong>The 107th JNLEP, conducted in 2022, with 344 items input into the GPT-4 model, was targeted for this study. Separately, 284 items, excluding those with diagrams, were entered into the GPT-3.5 model. The answers were categorized and analyzed to determine accuracy rates based on categories, subjects, and presence or absence of diagrams. The accuracy rates were compared to the main passing criteria (overall accuracy rate ≥62.9%).</p><p><strong>Results: </strong>The overall accuracy rate for all items in the 107th JNLEP in GPT-4 was 72.5%, successfully meeting all the passing criteria. For the set of items without diagrams, the accuracy rate was 80.0%, which was significantly higher than that of the GPT-3.5 model (43.5%). The GPT-4 model demonstrated an accuracy rate of 36.1% for items that included diagrams.</p><p><strong>Conclusion: </strong>Advancements that allow GPT-4 to process images have made it possible for LLMs to answer all items in medical-related license examinations. This study’s findings confirm that ChatGPT (GPT-4) possesses sufficient knowledge to meet the passing criteria.</p>","PeriodicalId":46098,"journal":{"name":"Journal of Educational Evaluation for Health Professions","volume":"21 ","pages":"4"},"PeriodicalIF":4.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10948916/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139984149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Events related to medication errors and related factors involving nurses’ behavior to reduce medication errors in Japan: a Bayesian network modeling-based factor analysis and scenario analysis.","authors":"Naotaka Sugimura, Katsuhiko Ogasawara","doi":"10.3352/jeehp.2024.21.12","DOIUrl":"10.3352/jeehp.2024.21.12","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to identify the relationships between medication errors and the factors affecting nurses’ knowledge and behavior in Japan using Bayesian network modeling. It also aimed to identify important factors through scenario analysis with consideration of nursing students’ and nurses’ education regarding patient safety and medications.</p><p><strong>Methods: </strong>We used mixed methods. First, error events related to medications and related factors were qualitatively extracted from 119 actual incident reports in 2022 from the database of the Japan Council for Quality Health Care. These events and factors were then quantitatively evaluated in a flow model using Bayesian network, and a scenario analysis was conducted to estimate the posterior probabilities of events when the prior probabilities of some factors were 0%.</p><p><strong>Results: </strong>There were 10 types of events related to medication errors. A 5-layer flow model was created using Bayesian network analysis. The scenario analysis revealed that “failure to confirm the 5 rights,” “unfamiliarity with operations of medications,” “insufficient knowledge of medications,” and “assumptions and forgetfulness” were factors that were significantly associated with the occurrence of medical errors.</p><p><strong>Conclusion: </strong>This study provided an estimate of the effects of mitigating nurses’ behavioral factors that trigger medication errors. The flow model itself can also be used as an educational tool to reflect on behavior when incidents occur. It is expected that patient safety education will be recognized as a major element of nursing education worldwide and that an integrated curriculum will be developed.</p>","PeriodicalId":46098,"journal":{"name":"Journal of Educational Evaluation for Health Professions","volume":"21 ","pages":"12"},"PeriodicalIF":9.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11223988/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141301850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum: Impact of a change from A-F grading to honors/pass/fail grading on academic performance at Yonsei University College of Medicine in Korea: a cross-sectional serial mediation analysis.","authors":"","doi":"10.3352/jeehp.2024.21.35","DOIUrl":"https://doi.org/10.3352/jeehp.2024.21.35","url":null,"abstract":"","PeriodicalId":46098,"journal":{"name":"Journal of Educational Evaluation for Health Professions","volume":"21 ","pages":"35"},"PeriodicalIF":9.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142717569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Journal of Educational Evaluation for Health Professions received the top-ranking Journal Impact Factor—9.3—in the category of Education, Scientific Disciplines in the 2023 Journal Citation Ranking by Clarivate","authors":"Sun Huh","doi":"10.3352/jeehp.2024.21.16","DOIUrl":"10.3352/jeehp.2024.21.16","url":null,"abstract":"","PeriodicalId":46098,"journal":{"name":"Journal of Educational Evaluation for Health Professions","volume":"21 ","pages":"16"},"PeriodicalIF":9.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11255473/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141444115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of a measurement tool to assess student perceptions of using real patients in physical therapy education at the Rocky Mountain University, the United States: a methodological study.","authors":"Stacia Hall Thompson, Hina Garg, Mary Shotwell, Michelle Webb","doi":"10.3352/jeehp.2024.21.30","DOIUrl":"https://doi.org/10.3352/jeehp.2024.21.30","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to develop and validate the Student Perceptions of Real Patient Use in Physical Therapy Education (SPRP-PTE) survey to assess physical therapy student (SPT) perceptions regarding real patient use in didactic education.</p><p><strong>Methods: </strong>This cross-sectional observational study developed a 48-item survey and tested the survey on 130 SPTs. Face and content validity were determined by an expert review and Content Validity Index (CVI). Construct validity and internal consistency reliability were determined via exploratory factor analysis (EFA) and Cronbach's Alpha.</p><p><strong>Results: </strong>Three main constructs were identified (Value, Satisfaction, and Confidence), each having 4 subconstruct components (Overall, Cognitive, Psychomotor, and Affective Learning). Expert review demonstrated adequate face and content validity (CVI = 96%). The initial EFA of the 48-item survey revealed items with inconsistent loadings and low correlations, leading to the removal of 18 items. An EFA of the 30-item survey demonstrated 1-factor loadings of all survey constructs except Satisfaction and the entire survey. All constructs had adequate internal consistency (Cronbach's Alpha > 0.85).</p><p><strong>Conclusion: </strong>The SPRP-PTE survey provides a reliable and valid way to assess student perceptions of real patient use. Future studies are encouraged to validate the SPRP-PTE survey further.</p>","PeriodicalId":46098,"journal":{"name":"Journal of Educational Evaluation for Health Professions","volume":"21 ","pages":"30"},"PeriodicalIF":9.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142591287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The 6 degrees of curriculum integration in medical education in the United States","authors":"Julie Youm, Jennifer Christner, Kevin Hittle, Paul Ko, Cinda Stone, Angela D Blood, Samara Ginzburg","doi":"10.3352/jeehp.2024.21.15","DOIUrl":"10.3352/jeehp.2024.21.15","url":null,"abstract":"<p><p>Despite explicit expectations and accreditation requirements for integrated curriculum, there needs to be more clarity around an accepted common definition, best practices for implementation, and criteria for successful curriculum integration. To address the lack of consensus surrounding integration, we reviewed the literature and herein propose a definition for curriculum integration for the medical education audience. We further believe that medical education is ready to move beyond “horizontal” (1-dimensional) and “vertical” (2-dimensional) integration and propose a model of “6 degrees of curriculum integration” to expand the 2-dimensional concept for future designs of medical education programs and best prepare learners to meet the needs of patients. These 6 degrees include: interdisciplinary, timing and sequencing, instruction and assessment, incorporation of basic and clinical sciences, knowledge and skills-based competency progression, and graduated responsibilities in patient care. We encourage medical educators to look beyond 2-dimensional integration to this holistic and interconnected representation of curriculum integration.</p>","PeriodicalId":46098,"journal":{"name":"Journal of Educational Evaluation for Health Professions","volume":"21 ","pages":"15"},"PeriodicalIF":9.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11261157/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141318490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The performance of ChatGPT-4.0o in medical imaging evaluation: a cross-sectional study","authors":"Elio Stefan Arruzza, Carla Marie Evangelista, Minh Chau","doi":"10.3352/jeehp.2024.21.29","DOIUrl":"10.3352/jeehp.2024.21.29","url":null,"abstract":"<p><p>This study investigated the performance of ChatGPT-4.0o in evaluating the quality of positioning in radiographic images. Thirty radiographs depicting a variety of knee, elbow, ankle, hand, pelvis, and shoulder projections were produced using anthropomorphic phantoms and uploaded to ChatGPT-4.0o. The model was prompted to provide a solution to identify any positioning errors with justification and offer improvements. A panel of radiographers assessed the solutions for radiographic quality based on established positioning criteria, with a grading scale of 1–5. In only 20% of projections, ChatGPT-4.0o correctly recognized all errors with justifications and offered correct suggestions for improvement. The most commonly occurring score was 3 (9 cases, 30%), wherein the model recognized at least 1 specific error and provided a correct improvement. The mean score was 2.9. Overall, low accuracy was demonstrated, with most projections receiving only partially correct solutions. The findings reinforce the importance of robust radiography education and clinical experience.</p>","PeriodicalId":46098,"journal":{"name":"Journal of Educational Evaluation for Health Professions","volume":"21 ","pages":"29"},"PeriodicalIF":9.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11586623/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Immersive simulation in nursing and midwifery education: a systematic review.","authors":"Lahoucine Ben Yahya, Aziz Naciri, Mohamed Radid, Ghizlane Chemsi","doi":"10.3352/jeehp.2024.21.19","DOIUrl":"10.3352/jeehp.2024.21.19","url":null,"abstract":"<p><strong>Purpose: </strong>Immersive simulation is an innovative training approach in health education that enhances student learning. This study examined its impact on engagement, motivation, and academic performance in nursing and midwifery students.</p><p><strong>Methods: </strong>A comprehensive systematic search was meticulously conducted in 4 reputable databases—Scopus, PubMed, Web of Science, and Science Direct—following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The research protocol was pre-registered in the PROSPERO registry, ensuring transparency and rigor. The quality of the included studies was assessed using the Medical Education Research Study Quality Instrument.</p><p><strong>Results: </strong>Out of 90 identified studies, 11 were included in the present review, involving 1,090 participants. Four out of 5 studies observed high post-test engagement scores in the intervention groups. Additionally, 5 out of 6 studies that evaluated motivation found higher post-test motivational scores in the intervention groups than in control groups using traditional approaches. Furthermore, among the 8 out of 11 studies that evaluated academic performance during immersive simulation training, 5 reported significant differences (P<0.001) in favor of the students in the intervention groups.</p><p><strong>Conclusion: </strong>Immersive simulation, as demonstrated by this study, has a significant potential to enhance student engagement, motivation, and academic performance, surpassing traditional teaching methods. This potential underscores the urgent need for future research in various contexts to better integrate this innovative educational approach into nursing and midwifery education curricula, inspiring hope for improved teaching methods.</p>","PeriodicalId":46098,"journal":{"name":"Journal of Educational Evaluation for Health Professions","volume":"21 ","pages":"19"},"PeriodicalIF":9.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141903198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of a change from A–F grading to honors/pass/fail grading on academic performance at Yonsei University College of Medicine in Korea: a cross-sectional serial mediation analysis.","authors":"Min-Kyeong Kim, Hae Won Kim","doi":"10.3352/jeehp.2024.21.20","DOIUrl":"10.3352/jeehp.2024.21.20","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to explore how the grading system affected medical students’ academic performance based on their perceptions of the learning environment and intrinsic motivation in the context of changing from norm-referenced A–F grading to criterion-referenced honors/pass/fail grading.</p><p><strong>Methods: </strong>The study involved 238 second-year medical students from 2014 (n=127, A–F grading) and 2015 (n=111, honors/pass/fail grading) at Yonsei University College of Medicine in Korea. Scores on the Dundee Ready Education Environment Measure, the Academic Motivation Scale, and the Basic Medical Science Examination were used to measure overall learning environment perceptions, intrinsic motivation, and academic performance, respectively. Serial mediation analysis was conducted to examine the pathways between the grading system and academic performance, focusing on the mediating roles of student perceptions and intrinsic motivation.</p><p><strong>Results: </strong>The honors/pass/fail grading class students reported more positive perceptions of the learning environment, higher intrinsic motivation, and better academic performance than the A–F grading class students. Mediation analysis demonstrated a serial mediation effect between the grading system and academic performance through learning environment perceptions and intrinsic motivation. Student perceptions and intrinsic motivation did not independently mediate the relationship between the grading system and performance.</p><p><strong>Conclusion: </strong>Reducing the number of grades and eliminating rank-based grading might have created an affirming learning environment that fulfills basic psychological needs and reinforces the intrinsic motivation linked to academic performance. The cumulative effect of these 2 mediators suggests that a comprehensive approach should be used to understand student performance.</p>","PeriodicalId":46098,"journal":{"name":"Journal of Educational Evaluation for Health Professions","volume":"21 ","pages":"20"},"PeriodicalIF":9.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11576096/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142000930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}