Journal of Educational Evaluation for Health Professions

Most-download articles are from the articles published in 2023 during the last three month.

Review

Application of artificial intelligence chatbots, including ChatGPT, in education, scholarly work, programming, and content generation and its prospects: a narrative review: Tae Won Kim; J Educ Eval Health Prof. 2023;20:38. Published online December 27, 2023; DOI: https://doi.org/10.3352/jeehp.2023.20.38

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This study aims to explore ChatGPT’s (GPT-3.5 version) functionalities, including reinforcement learning, diverse applications, and limitations. ChatGPT is an artificial intelligence (AI) chatbot powered by OpenAI’s Generative Pre-trained Transformer (GPT) model. The chatbot’s applications span education, programming, content generation, and more, demonstrating its versatility. ChatGPT can improve education by creating assignments and offering personalized feedback, as shown by its notable performance in medical exams and the United States Medical Licensing Exam. However, concerns include plagiarism, reliability, and educational disparities. It aids in various research tasks, from design to writing, and has shown proficiency in summarizing and suggesting titles. Its use in scientific writing and language translation is promising, but professional oversight is needed for accuracy and originality. It assists in programming tasks like writing code, debugging, and guiding installation and updates. It offers diverse applications, from cheering up individuals to generating creative content like essays, news articles, and business plans. Unlike search engines, ChatGPT provides interactive, generative responses and understands context, making it more akin to human conversation, in contrast to conventional search engines’ keyword-based, non-interactive nature. ChatGPT has limitations, such as potential bias, dependence on outdated data, and revenue generation challenges. Nonetheless, ChatGPT is considered to be a transformative AI tool poised to redefine the future of generative technology. In conclusion, advancements in AI, such as ChatGPT, are altering how knowledge is acquired and applied, marking a shift from search engines to creativity engines. This transformation highlights the increasing importance of AI literacy and the ability to effectively utilize AI in various domains of life.

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Readability, quality and accuracy of generative artificial intelligence chatbots for commonly asked questions about labor epidurals: a comparison of ChatGPT and Bard
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Opportunities, challenges, and future directions of large language models, including ChatGPT in medical education: a systematic scoping review
Xiaojun Xu, Yixiao Chen, Jing Miao
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Artificial Intelligence: Fundamentals and Breakthrough Applications in Epilepsy
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Epilepsy Currents.2024;[Epub] CrossRef
A Developed Graphical User Interface-Based on Different Generative Pre-trained Transformers Models
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Comparative performance analysis of large language models: ChatGPT-3.5, ChatGPT-4 and Google Gemini in glucocorticoid-induced osteoporosis
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Educational/Faculty development material

The performance of ChatGPT-4.0o in medical imaging evaluation: a cross-sectional study: Elio Stefan Arruzza, Carla Marie Evangelista, Minh Chau; J Educ Eval Health Prof. 2024;21:29. Published online October 31, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.29

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Abstract PDF Supplementary Material

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.

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Conversational LLM Chatbot ChatGPT-4 for Colonoscopy Boston Bowel Preparation Scoring: An Artificial Intelligence-to-Head Concordance Analysis
Raffaele Pellegrino, Alessandro Federico, Antonietta Gerarda Gravina
Diagnostics.2024; 14(22): 2537. CrossRef
Effectiveness of ChatGPT-4o in developing continuing professional development plans for graduate radiographers: a descriptive study
Minh Chau, Elio Stefan Arruzza, Kelly Spuur
Journal of Educational Evaluation for Health Professions.2024; 21: 34. CrossRef

Research article

Validation of the Blended Learning Usability Evaluation–Questionnaire (BLUE-Q) through an innovative Bayesian questionnaire validation approach: Anish Kumar Arora, Charo Rodriguez, Tamara Carver, Hao Zhang, Tibor Schuster; J Educ Eval Health Prof. 2024;21:31. Published online November 7, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.31

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Abstract PDF Supplementary Material: Purpose
The primary aim of this study is to validate the Blended Learning Usability Evaluation–Questionnaire (BLUE-Q) for use in the field of health professions education through a Bayesian approach. As Bayesian questionnaire validation remains elusive, a secondary aim of this article is to serve as a simplified tutorial for engaging in such validation practices in health professions education.
Methods
A total of 10 health education-based experts in blended learning were recruited to participate in a 30-minute interviewer-administered survey. On a 5-point Likert scale, experts rated how well they perceived each item of the BLUE-Q to reflect its underlying usability domain (i.e., effectiveness, efficiency, satisfaction, accessibility, organization, and learner experience). Ratings were descriptively analyzed and converted into beta prior distributions. Participants were also given the option to provide qualitative comments for each item.
Results
After reviewing the computed expert prior distributions, 31 quantitative items were identified as having a probability of “low endorsement” and were thus removed from the questionnaire. Additionally, qualitative comments were used to revise the phrasing and order of items to ensure clarity and logical flow. The BLUE-Q’s final version comprises 23 Likert-scale items and 6 open-ended items.
Conclusion
Questionnaire validation can generally be a complex, time-consuming, and costly process, inhibiting many from engaging in proper validation practices. In this study, we demonstrate that a Bayesian questionnaire validation approach can be a simple, resource-efficient, yet rigorous solution to validating a tool for content and item-domain correlation through the elicitation of domain expert endorsement ratings.

Review

How to review and assess a systematic review and meta-analysis article: a methodological study (secondary publication): Seung-Kwon Myung; J Educ Eval Health Prof. 2023;20:24. Published online August 27, 2023; DOI: https://doi.org/10.3352/jeehp.2023.20.24

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Abstract PDF Supplementary Material

Systematic reviews and meta-analyses have become central in many research fields, particularly medicine. They offer the highest level of evidence in evidence-based medicine and support the development and revision of clinical practice guidelines, which offer recommendations for clinicians caring for patients with specific diseases and conditions. This review summarizes the concepts of systematic reviews and meta-analyses and provides guidance on reviewing and assessing such papers. A systematic review refers to a review of a research question that uses explicit and systematic methods to identify, select, and critically appraise relevant research. In contrast, a meta-analysis is a quantitative statistical analysis that combines individual results on the same research question to estimate the common or mean effect. Conducting a meta-analysis involves defining a research topic, selecting a study design, searching literature in electronic databases, selecting relevant studies, and conducting the analysis. One can assess the findings of a meta-analysis by interpreting a forest plot and a funnel plot and by examining heterogeneity. When reviewing systematic reviews and meta-analyses, several essential points must be considered, including the originality and significance of the work, the comprehensiveness of the database search, the selection of studies based on inclusion and exclusion criteria, subgroup analyses by various factors, and the interpretation of the results based on the levels of evidence. This review will provide readers with helpful guidance to help them read, understand, and evaluate these articles.

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Systematic review and meta-analysis of the prevalence of frailty and pre-frailty amongst older hospital inpatients in low- and middle-income countries
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The effectiveness and usability of online, group-based interventions for people with severe obesity: a systematic review and meta-analysis
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Research articles

Effectiveness of ChatGPT-4o in developing continuing professional development plans for graduate radiographers: a descriptive study: Minh Chau, Elio Stefan Arruzza, Kelly Spuur; J Educ Eval Health Prof. 2024;21:34. Published online November 18, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.34

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Abstract PDF Supplementary Material: Purpose
This study evaluates the use of ChatGPT-4o in creating tailored continuing professional development (CPD) plans for radiography students, addressing the challenge of aligning CPD with Medical Radiation Practice Board of Australia (MRPBA) requirements. We hypothesized that ChatGPT-4o could support students in CPD planning while meeting regulatory standards.
Methods
A descriptive, experimental design was used to generate 3 unique CPD plans using ChatGPT-4o, each tailored to hypothetical graduate radiographers in varied clinical settings. Each plan followed MRPBA guidelines, focusing on computed tomography specialization by the second year. Three MRPBA-registered academics assessed the plans using criteria of appropriateness, timeliness, relevance, reflection, and completeness from October 2024 to November 2024. Ratings underwent analysis using the Friedman test and intraclass correlation coefficient (ICC) to measure consistency among evaluators.
Results
ChatGPT-4o generated CPD plans generally adhered to regulatory standards across scenarios. The Friedman test indicated no significant differences among raters (P=0.420, 0.761, and 0.807 for each scenario), suggesting consistent scores within scenarios. However, ICC values were low (–0.96, 0.41, and 0.058 for scenarios 1, 2, and 3), revealing variability among raters, particularly in timeliness and completeness criteria, suggesting limitations in the ChatGPT-4o’s ability to address individualized and context-specific needs.
Conclusion
ChatGPT-4o demonstrates the potential to ease the cognitive demands of CPD planning, offering structured support in CPD development. However, human oversight remains essential to ensure plans are contextually relevant and deeply reflective. Future research should focus on enhancing artificial intelligence’s personalization for CPD evaluation, highlighting ChatGPT-4o’s potential and limitations as a tool in professional education.

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: Stacia Hall Thompson, Hina Garg, Mary Shotwell, Michelle Webb; J Educ Eval Health Prof. 2024;21:30. Published online November 7, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.30

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Abstract PDF Supplementary Material: Purpose
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.
Methods
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 α.
Results
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 α >0.85).
Conclusion
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.

A new performance evaluation indicator for the LEE Jong-wook Fellowship Program of Korea Foundation for International Healthcare to better assess its long-term educational impacts: a Delphi study: Minkyung Oh, Bo Young Yoon; J Educ Eval Health Prof. 2024;21:27. Published online October 2, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.27

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Abstract PDF Supplementary Material: Purpose
The Dr. LEE Jong-wook Fellowship Program, established by the Korea Foundation for International Healthcare (KOFIH), aims to strengthen healthcare capacity in partner countries. The aim of the study was to develop new performance evaluation indicators for the program to better assess long-term educational impact across various courses and professional roles.
Methods
A 3-stage process was employed. First, a literature review of established evaluation models (Kirkpatrick’s 4 levels, context/input/process/product evaluation model, Organization for Economic Cooperation and Development Assistance Committee criteria) was conducted to devise evaluation criteria. Second, these criteria were validated via a 2-round Delphi survey with 18 experts in training projects from May 2021 to June 2021. Third, the relative importance of the evaluation criteria was determined using the analytic hierarchy process (AHP), calculating weights and ensuring consistency through the consistency index and consistency ratio (CR), with CR values below 0.1 indicating acceptable consistency.
Results
The literature review led to a combined evaluation model, resulting in 4 evaluation areas, 20 items, and 92 indicators. The Delphi surveys confirmed the validity of these indicators, with content validity ratio values exceeding 0.444. The AHP analysis assigned weights to each indicator, and CR values below 0.1 indicated consistency. The final set of evaluation indicators was confirmed through a workshop with KOFIH and adopted as the new evaluation tool.
Conclusion
The developed evaluation framework provides a comprehensive tool for assessing the long-term outcomes of the Dr. LEE Jong-wook Fellowship Program. It enhances evaluation capabilities and supports improvements in the training program’s effectiveness and international healthcare collaboration.

Review

The legality and appropriateness of keeping Korean Medical Licensing Examination items confidential: a comparative analysis and review of court rulings: Jae Sun Kim, Dae Un Hong, Ju Yoen Lee; J Educ Eval Health Prof. 2024;21:28. Published online October 15, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.28

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Abstract PDF Supplementary Material: This study examines the legality and appropriateness of keeping the multiple-choice question items of the Korean Medical Licensing Examination (KMLE) confidential. Through an analysis of cases from the United States, Canada, and Australia, where medical licensing exams are conducted using item banks and computer-based testing, we found that exam items are kept confidential to ensure fairness and prevent cheating. In Korea, the Korea Health Personnel Licensing Examination Institute (KHPLEI) has been disclosing KMLE questions despite concerns over exam integrity. Korean courts have consistently ruled that multiple-choice question items prepared by public institutions are non-public information under Article 9(1)(v) of the Korea Official Information Disclosure Act (KOIDA), which exempts disclosure if it significantly hinders the fairness of exams or research and development. The Constitutional Court of Korea has upheld this provision. Given the time and cost involved in developing high-quality items and the need to accurately assess examinees’ abilities, there are compelling reasons to keep KMLE items confidential. As a public institution responsible for selecting qualified medical practitioners, KHPLEI should establish its disclosure policy based on a balanced assessment of public interest, without influence from specific groups. We conclude that KMLE questions qualify as non-public information under KOIDA, and KHPLEI may choose to maintain their confidentiality to ensure exam fairness and efficiency.

Research article

Comparison of virtual and in-person simulations for sepsis and trauma resuscitation training in Singapore: a randomized controlled trial: Matthew Jian Wen Low, Gene Wai Han Chan, Zisheng Li, Yiwen Koh, Chi Loong Jen, Zi Yao Lee, Lenard Tai Win Cheng; J Educ Eval Health Prof. 2024;21:33. Published online November 18, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.33

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Abstract PDF Supplementary Material: Purpose
This study aimed to compare cognitive, non-cognitive, and overall learning outcomes for sepsis and trauma resuscitation skills in novices with virtual patient simulation (VPS) versus in-person simulation (IPS).
Methods
A randomized controlled trial was conducted on junior doctors in 1 emergency department from January to December 2022, comparing 70 minutes of VPS (n=19) versus IPS (n=21) in sepsis and trauma resuscitation. Using the nominal group technique, we created skills assessment checklists and determined Bloom’s taxonomy domains for each checklist item. Two blinded raters observed participants leading 1 sepsis and 1 trauma resuscitation simulation. Satisfaction was measured using the Student Satisfaction with Learning Scale (SSLS). The SSLS and checklist scores were analyzed using the Wilcoxon rank sum test and 2-tailed t-test respectively.
Results
For sepsis, there was no significant difference between VPS and IPS in overall scores (2.0; 95% confidence interval [CI], -1.4 to 5.4; Cohen’s d=0.38), as well as in items that were cognitive (1.1; 95% CI, -1.5 to 3.7) and not only cognitive (0.9; 95% CI, -0.4 to 2.2). Likewise, for trauma, there was no significant difference in overall scores (-0.9; 95% CI, -4.1 to 2.3; Cohen’s d=0.19), as well as in items that were cognitive (-0.3; 95% CI, -2.8 to 2.1) and not only cognitive (-0.6; 95% CI, -2.4 to 1.3). The median SSLS scores were lower with VPS than with IPS (-3.0; 95% CI, -1.0 to -5.0).
Conclusion
For novices, there were no major differences in overall and non-cognitive learning outcomes for sepsis and trauma resuscitation between VPS and IPS. Learners were more satisfied with IPS than with VPS (clinicaltrials.gov identifier: NCT05201950).

Technical report

Increased accessibility of computer-based testing for residency application to a hospital in Brazil with item characteristics comparable to paper-based testing: a psychometric study: Marcos Carvalho Borges, Luciane Loures Santos, Paulo Henrique Manso, Elaine Christine Dantas Moisés, Pedro Soler Coltro, Priscilla Costa Fonseca, Paulo Roberto Alves Gentil, Rodrigo de Carvalho Santana, Lucas Faria Rodrigues, Benedito Carlos Maciel, Hilton Marcos Alves Ricz; J Educ Eval Health Prof. 2024;21:32. Published online November 11, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.32

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Abstract PDF Supplementary Material: Purpose
With the coronavirus disease 2019 pandemic, online high-stakes exams have become a viable alternative. This study evaluated the feasibility of computer-based testing (CBT) for medical residency applications in Brazil and its impacts on item quality and applicants’ access compared to paper-based testing.
Methods
In 2020, an online CBT was conducted in a Ribeirao Preto Clinical Hospital in Brazil. In total, 120 multiple-choice question items were constructed. Two years later, the exam was performed as paper-based testing. Item construction processes were similar for both exams. Difficulty and discrimination indexes, point-biserial coefficient, difficulty, discrimination, guessing parameters, and Cronbach’s α coefficient were measured based on the item response and classical test theories. Internet stability for applicants was monitored.
Results
In 2020, 4,846 individuals (57.1% female, mean age of 26.64±3.37 years) applied to the residency program, versus 2,196 individuals (55.2% female, mean age of 26.47±3.20 years) in 2022. For CBT, there was an increase of 2,650 applicants (120.7%), albeit with significant differences in demographic characteristics. There was a significant increase in applicants from more distant and lower-income Brazilian regions, such as the North (5.6% vs. 2.7%) and Northeast (16.9% vs. 9.0%). No significant differences were found in difficulty and discrimination indexes, point-biserial coefficients, and Cronbach’s α coefficients between the 2 exams.
Conclusion
Online CBT with multiple-choice questions was a viable format for a residency application exam, improving accessibility without compromising exam integrity and quality.

Review

Immersive simulation in nursing and midwifery education: a systematic review: Lahoucine Ben Yahya, Aziz Naciri, Mohamed Radid, Ghizlane Chemsi; J Educ Eval Health Prof. 2024;21:19. Published online August 8, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.19

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Abstract PDF Supplementary Material

Purpose
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.
Methods
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.
Results
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.
Conclusion
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.

Citations

Citations to this article as recorded by

Application of Virtual Reality, Artificial Intelligence, and Other Innovative Technologies in Healthcare Education (Nursing and Midwifery Specialties): Challenges and Strategies
Galya Georgieva-Tsaneva, Ivanichka Serbezova, Silvia Beloeva
Education Sciences.2024; 15(1): 11. CrossRef

Research articles

Validation of the 21st Century Skills Assessment Scale for public health students in Thailand: a methodological study: Suphawadee Panthumas, Kaung Zaw, Wirin Kittipichai; J Educ Eval Health Prof. 2024;21:37. Published online December 10, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.37

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Abstract PDF Supplementary Material: Purpose
This study aimed to develop and validate the 21st Century Skills Assessment Scale (21CSAS) for Thai public health (PH) undergraduate students using the Partnership for 21st Century Skills framework.
Methods
A cross-sectional survey was conducted among 727 first- to fourth-year PH undergraduate students from 4 autonomous universities in Thailand. Data were collected using self-administered questionnaires between January and March 2023. Exploratory factor analysis (EFA) was used to explore the underlying dimensions of 21CSAS, while confirmatory factor analysis (CFA) was conducted to test the hypothesized factor structure using Mplus software (Muthén & Muthén). Reliability and item discrimination were assessed using Cronbach’s α and the corrected item-total correlation, respectively.
Results
EFA performed on a dataset of 300 students revealed a 20-item scale with a 6-factor structure: (1) creativity and innovation; (2) critical thinking and problem-solving; (3) information, media, and technology; (4) communication and collaboration; (5) initiative and self-direction; and (6) social and cross-cultural skills. The rotated eigenvalues ranged from 2.12 to 1.73. CFA performed on another dataset of 427 students confirmed a good model fit (χ2/degrees of freedom=2.67, comparative fit index=0.93, Tucker-Lewis index=0.91, root mean square error of approximation=0.06, standardized root mean square residual=0.06), explaining 34%–71% of variance in the items. Item loadings ranged from 0.58 to 0.84. The 21CSAS had a Cronbach’s α of 0.92.
Conclusion
The 21CSAS proved be a valid and reliable tool for assessing 21st century skills among Thai PH undergraduate students. These findings provide insights for educational system to inform policy, practice, and research regarding 21st-century skills among undergraduate students.

Inter-rater reliability and content validity of the measurement tool for portfolio assessments used in the Introduction to Clinical Medicine course at Ewha Womans University College of Medicine: a methodological study: Dong-Mi Yoo, Jae Jin Han; J Educ Eval Health Prof. 2024;21:39. Published online December 10, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.39

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Abstract PDF Supplementary Material: Purpose
This study aimed to examine the reliability and validity of a measurement tool for portfolio assessments in medical education. Specifically, it investigated scoring consistency among raters and assessment criteria appropriateness according to an expert panel.
Methods
A cross-sectional observational study was conducted from September to December 2018 for the Introduction to Clinical Medicine course at the Ewha Womans University College of Medicine. Data were collected for 5 randomly selected portfolios scored by a gold-standard rater and 6 trained raters. An expert panel assessed the validity of 12 assessment items using the content validity index (CVI). Statistical analysis included Pearson correlation coefficients for rater alignment, the intraclass correlation coefficient (ICC) for inter-rater reliability, and the CVI for item-level validity.
Results
Rater 1 had the highest Pearson correlation (0.8916) with the gold-standard rater, while Rater 5 had the lowest (0.4203). The ICC for all raters was 0.3821, improving to 0.4415 after excluding Raters 1 and 5, indicating a 15.6% reliability increase. All assessment items met the CVI threshold of ≥0.75, with some achieving a perfect score (CVI=1.0). However, items like “sources” and “level and degree of performance” showed lower validity (CVI=0.72).
Conclusion
The present measurement tool for portfolio assessments demonstrated moderate reliability and strong validity, supporting its use as a credible tool. For a more reliable portfolio assessment, more faculty training is needed.

The effect of simulation-based training on problem-solving skills, critical thinking skills, and self-efficacy among nursing students in Vietnam: a before-and-after study: Tran Thi Hoang Oanh, Luu Thi Thuy, Ngo Thi Thu Huyen; J Educ Eval Health Prof. 2024;21:24. Published online September 23, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.24

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Abstract PDF Supplementary Material

Purpose
This study investigated the effect of simulation-based training on nursing students’ problem-solving skills, critical thinking skills, and self-efficacy.
Methods
A single-group pretest and posttest study was conducted among 173 second-year nursing students at a public university in Vietnam from May 2021 to July 2022. Each student participated in the adult nursing preclinical practice course, which utilized a moderate-fidelity simulation teaching approach. Instruments including the Personal Problem-Solving Inventory Scale, Critical Thinking Skills Questionnaire, and General Self-Efficacy Questionnaire were employed to measure participants’ problem-solving skills, critical thinking skills, and self-efficacy. Data were analyzed using descriptive statistics and the paired-sample t-test with the significance level set at P<0.05.
Results
The mean score of the Personal Problem-Solving Inventory posttest (127.24±12.11) was lower than the pretest score (131.42±16.95), suggesting an improvement in the problem-solving skills of the participants (t172=2.55, P=0.011). There was no statistically significant difference in critical thinking skills between the pretest and posttest (P=0.854). Self-efficacy among nursing students showed a substantial increase from the pretest (27.91±5.26) to the posttest (28.71±3.81), with t172=-2.26 and P=0.025.
Conclusion
The results suggest that simulation-based training can improve problem-solving skills and increase self-efficacy among nursing students. Therefore, the integration of simulation-based training in nursing education is recommended.

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The Effect of Work-Based Learning on Employability Skills: The Role of Self-Efficacy and Vocational Identity
Suyitno Suyitno, Muhammad Nurtanto, Dwi Jatmoko, Yuli Widiyono, Riawan Yudi Purwoko, Fuad Abdillah, Setuju Setuju, Yudan Hermawan
European Journal of Educational Research.2025; 14(1): 309. CrossRef

Reliability of a workplace-based assessment for the United States general surgical trainees’ intraoperative performance using multivariate generalizability theory: a psychometric study: Ting Sun, Stella Yun Kim, Brigitte Kristin Smith, Yoon Soo Park; J Educ Eval Health Prof. 2024;21:26. Published online September 24, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.26

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Abstract PDF Supplementary Material: Purpose
The System for Improving and Measuring Procedure Learning (SIMPL), a smartphone-based operative assessment application, was developed to assess the intraoperative performance of surgical residents. This study aims to examine the reliability of the SIMPL assessment and determine the optimal number of procedures for a reliable assessment.
Methods
In this retrospective observational study, we analyzed data collected between 2015 and 2023 from 4,616 residents across 94 General Surgery Residency programs in the United States that utilized the SIMPL smartphone application. We employed multivariate generalizability theory and initially conducted generalizability studies to estimate the variance components associated with procedures. We then performed decision studies to estimate the reliability coefficient and the minimum number of procedures required for a reproducible assessment.
Results
We estimated that the reliability of the assessment of surgical trainees’ intraoperative autonomy and performance using SIMPL exceeded 0.70. Additionally, the optimal number of procedures required for a reproducible assessment was 10, 17, 15, and 17 for postgraduate year (PGY) 2, PGY 3, PGY 4, and PGY 5, respectively. Notably, the study highlighted that the assessment of residents in their senior years necessitated a larger number of procedures compared to those in their junior years.
Conclusion
The study demonstrated that the SIMPL assessment is reliably effective for evaluating the intraoperative performance of surgical trainees. Adjusting the number of procedures based on the trainees’ training stage enhances the assessment process’s accuracy and effectiveness.

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