Journal of Educational Evaluation for Health Professions

Research article

Development and validity evidence for the resident-led large group teaching assessment instrument in the United States: a methodological study: 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; J Educ Eval Health Prof. 2024;21:3. Published online February 23, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.3

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Abstract PDF Supplementary Material: Purpose
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 6 elements: learning environment, goals and objectives, content of talk, promotion of understanding and retention, session management, and closure.
Methods
Messick’s unified validity framework was used for this study. Investigators used video recordings of resident-led teaching from 3 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).
Results
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=0.019).
Conclusion
Relate provides validity evidence with sufficient reliability to measure resident-led large-group teaching competence.

Technical report

Item difficulty index, discrimination index, and reliability of the 26 health professions licensing examinations in 2022, Korea: a psychometric study: Yoon Hee Kim, Bo Hyun Kim, Joonki Kim, Bokyoung Jung, Sangyoung Bae; J Educ Eval Health Prof. 2023;20:31. Published online November 22, 2023; DOI: https://doi.org/10.3352/jeehp.2023.20.31

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Abstract PDF Supplementary Material: Purpose
This study presents item analysis results of the 26 health personnel licensing examinations managed by the Korea Health Personnel Licensing Examination Institute (KHPLEI) in 2022.
Methods
The item difficulty index, item discrimination index, and reliability were calculated. The item discrimination index was calculated using a discrimination index based on the upper and lower 27% rule and the item-total correlation.
Results
Out of 468,352 total examinees, 418,887 (89.4%) passed. The pass rates ranged from 27.3% for health educators level 1 to 97.1% for oriental medical doctors. Most examinations had a high average difficulty index, albeit to varying degrees, ranging from 61.3% for prosthetists and orthotists to 83.9% for care workers. The average discrimination index based on the upper and lower 27% rule ranged from 0.17 for oriental medical doctors to 0.38 for radiological technologists. The average item-total correlation ranged from 0.20 for oriental medical doctors to 0.38 for radiological technologists. The Cronbach α, as a measure of reliability, ranged from 0.872 for health educators-level 3 to 0.978 for medical technologists. The correlation coefficient between the average difficulty index and average discrimination index was -0.2452 (P=0.1557), that between the average difficulty index and the average item-total correlation was 0.3502 (P=0.0392), and that between the average discrimination index and the average item-total correlation was 0.7944 (P<0.0001).
Conclusion
This technical report presents the item analysis results and reliability of the recent examinations by the KHPLEI, demonstrating an acceptable range of difficulty index and discrimination index values, as well as good reliability.

Research article

Performance of ChatGPT, Bard, Claude, and Bing on the Peruvian National Licensing Medical Examination: a cross-sectional study: Betzy Clariza Torres-Zegarra, Wagner Rios-Garcia, Alvaro Micael Ñaña-Cordova, Karen Fatima Arteaga-Cisneros, Xiomara Cristina Benavente Chalco, Marina Atena Bustamante Ordoñez, Carlos Jesus Gutierrez Rios, Carlos Alberto Ramos Godoy, Kristell Luisa Teresa Panta Quezada, Jesus Daniel Gutierrez-Arratia, Javier Alejandro Flores-Cohaila; J Educ Eval Health Prof. 2023;20:30. Published online November 20, 2023; DOI: https://doi.org/10.3352/jeehp.2023.20.30

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Abstract PDF Supplementary Material

Purpose
We aimed to describe the performance and evaluate the educational value of justifications provided by artificial intelligence chatbots, including GPT-3.5, GPT-4, Bard, Claude, and Bing, on the Peruvian National Medical Licensing Examination (P-NLME).
Methods
This was a cross-sectional analytical study. On July 25, 2023, each multiple-choice question (MCQ) from the P-NLME was entered into each chatbot (GPT-3, GPT-4, Bing, Bard, and Claude) 3 times. Then, 4 medical educators categorized the MCQs in terms of medical area, item type, and whether the MCQ required Peru-specific knowledge. They assessed the educational value of the justifications from the 2 top performers (GPT-4 and Bing).
Results
GPT-4 scored 86.7% and Bing scored 82.2%, followed by Bard and Claude, and the historical performance of Peruvian examinees was 55%. Among the factors associated with correct answers, only MCQs that required Peru-specific knowledge had lower odds (odds ratio, 0.23; 95% confidence interval, 0.09–0.61), whereas the remaining factors showed no associations. In assessing the educational value of justifications provided by GPT-4 and Bing, neither showed any significant differences in certainty, usefulness, or potential use in the classroom.
Conclusion
Among chatbots, GPT-4 and Bing were the top performers, with Bing performing better at Peru-specific MCQs. Moreover, the educational value of justifications provided by the GPT-4 and Bing could be deemed appropriate. However, it is essential to start addressing the educational value of these chatbots, rather than merely their performance on examinations.

Citations

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Masao Noda, Takayoshi Ueno, Ryota Koshu, Yuji Takaso, Mari Dias Shimada, Chizu Saito, Hisashi Sugimoto, Hiroaki Fushiki, Makoto Ito, Akihiro Nomura, Tomokazu Yoshizaki
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Journal of Educational Evaluation for Health Professions.2024; 21: 6. CrossRef
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Brief reports

Training and implementation of handheld ultrasound technology at Georgetown Public Hospital Corporation in Guyana: a virtual learning cohort study: Michelle Bui, Adrian Fernandez, Budheshwar Ramsukh, Onika Noel, Chris Prashad, David Bayne; J Educ Eval Health Prof. 2023;20:11. Published online April 4, 2023; DOI: https://doi.org/10.3352/jeehp.2023.20.11

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Abstract PDF Supplementary Material

A virtual point-of-care ultrasound (POCUS) education program was initiated to introduce handheld ultrasound technology to Georgetown Public Hospital Corporation in Guyana, a low-resource setting. We studied ultrasound competency and participant satisfaction in a cohort of 20 physicians-in-training through the urology clinic. The program consisted of a training phase, where they learned how to use the Butterfly iQ ultrasound, and a mentored implementation phase, where they applied their skills in the clinic. The assessment was through written exams and an objective structured clinical exam (OSCE). Fourteen students completed the program. The written exam scores were 3.36/5 in the training phase and 3.57/5 in the mentored implementation phase, and all students earned 100% on the OSCE. Students expressed satisfaction with the program. Our POCUS education program demonstrates the potential to teach clinical skills in low-resource settings and the value of virtual global health partnerships in advancing POCUS and minimally invasive diagnostics.

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Efficacy of Handheld Ultrasound in Medical Education: A Comprehensive Systematic Review and Narrative Analysis
Mariam Haji-Hassan, Roxana-Denisa Capraș, Sorana D. Bolboacă
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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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Abstract PDF Supplementary 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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JMIR Formative Research.2024; 8: e49964. CrossRef
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Ana Suárez, Víctor Díaz‐Flores García, Juan Algar, Margarita Gómez Sánchez, María Llorente de Pedro, Yolanda Freire
International Endodontic Journal.2024; 57(1): 108. CrossRef
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ACM Transactions on Computing Education.2024; 24(1): 1. CrossRef
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Biochemistry and Molecular Biology Education.2024; 52(2): 237. CrossRef
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Journal of Computer Assisted Learning.2024;[Epub] CrossRef
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Omar Mubin, Fady Alnajjar, Zouheir Trabelsi, Luqman Ali, Medha Mohan Ambali Parambil, Zhao Zou
IEEE Access.2024; 12: 30518. CrossRef
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BMJ Open.2024; 14(3): e076484. CrossRef
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WSEAS TRANSACTIONS ON COMPUTERS.2024; 23: 24. CrossRef
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Journal of Health Sciences and Medicine.2024; 7(2): 224. CrossRef
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Journal of Dental Hygiene Science.2024; 24(1): 62. CrossRef
Applicability of ChatGPT in Assisting to Solve Higher Order Problems in Pathology
Ranwir K Sinha, Asitava Deb Roy, Nikhil Kumar, Himel Mondal
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Sun Huh
Journal of Educational Evaluation for Health Professions.2023; 20: 5. CrossRef
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Cureus.2023;[Epub] CrossRef
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Arindam Ghosh, Aritri Bir
Cureus.2023;[Epub] CrossRef
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Omar Temsah, Samina A Khan, Yazan Chaiah, Abdulrahman Senjab, Khalid Alhasan, Amr Jamal, Fadi Aljamaan, Khalid H Malki, Rabih Halwani, Jaffar A Al-Tawfiq, Mohamad-Hani Temsah, Ayman Al-Eyadhy
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Bader Fatani
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Hind M Alhaidry, Bader Fatani, Jenan O Alrayes, Aljowhara M Almana, Nawaf K Alfhaed
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Rebecca Shin-Yee Wong, Long Chiau Ming, Raja Affendi Raja Ali
JMIR Medical Education.2023; 9: e47274. CrossRef
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Doris Ruiz-Talavera, Jaime Enrique De la Cruz-Aguero, Nereo García-Palomino, Renzo Calderón-Espinoza, William Joel Marín-Rodriguez
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Review

Factors associated with medical students’ scores on the National Licensing Exam in Peru: a systematic review: Javier Alejandro Flores-Cohaila; J Educ Eval Health Prof. 2022;19:38. Published online December 29, 2022; DOI: https://doi.org/10.3352/jeehp.2022.19.38

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Abstract PDF Supplementary Material

Purpose
This study aimed to identify factors that have been studied for their associations with National Licensing Examination (ENAM) scores in Peru.
Methods
A search was conducted of literature databases and registers, including EMBASE, SciELO, Web of Science, MEDLINE, Peru’s National Register of Research Work, and Google Scholar. The following key terms were used: “ENAM” and “associated factors.” Studies in English and Spanish were included. The quality of the included studies was evaluated using the Medical Education Research Study Quality Instrument (MERSQI).
Results
In total, 38,500 participants were enrolled in 12 studies. Most (11/12) studies were cross-sectional, except for one case-control study. Three studies were published in peer-reviewed journals. The mean MERSQI was 10.33. A better performance on the ENAM was associated with a higher-grade point average (GPA) (n=8), internship setting in EsSalud (n=4), and regular academic status (n=3). Other factors showed associations in various studies, such as medical school, internship setting, age, gender, socioeconomic status, simulations test, study resources, preparation time, learning styles, study techniques, test-anxiety, and self-regulated learning strategies.
Conclusion
The ENAM is a multifactorial phenomenon; our model gives students a locus of control on what they can do to improve their score (i.e., implement self-regulated learning strategies) and faculty, health policymakers, and managers a framework to improve the ENAM score (i.e., design remediation programs to improve GPA and integrate anxiety-management courses into the curriculum).

Citations

Citations to this article as recorded by

Performance of ChatGPT on the Peruvian National Licensing Medical Examination: Cross-Sectional Study
Javier A Flores-Cohaila, Abigaíl García-Vicente, Sonia F Vizcarra-Jiménez, Janith P De la Cruz-Galán, Jesús D Gutiérrez-Arratia, Blanca Geraldine Quiroga Torres, Alvaro Taype-Rondan
JMIR Medical Education.2023; 9: e48039. CrossRef

Research articles

Possibility of independent use of the yes/no Angoff and Hofstee methods for the standard setting of the Korean Medical Licensing Examination written test: a descriptive study: Do-Hwan Kim, Ye Ji Kang, Hoon-Ki Park; J Educ Eval Health Prof. 2022;19:33. Published online December 12, 2022; DOI: https://doi.org/10.3352/jeehp.2022.19.33

1,541 View
113 Download
2 Web of Science
2 Crossref

Abstract PDF Supplementary Material

Purpose
This study aims to apply the yes/no Angoff and Hofstee methods to actual Korean Medical Licensing Examination (KMLE) 2022 written examination data to estimate cut scores for the written KMLE.
Methods
Fourteen panelists gathered to derive the cut score of the 86th KMLE written examination data using the yes/no Angoff method. The panel reviewed the items individually before the meeting and shared their respective understanding of the minimum-competency physician. The standard setting process was conducted in 5 rounds over a total of 800 minutes. In addition, 2 rounds of the Hofstee method were conducted before starting the standard setting process and after the second round of yes/no Angoff.
Results
For yes/no Angoff, as each round progressed, the panel’s opinion gradually converged to a cut score of 198 points, and the final passing rate was 95.1%. The Hofstee cut score was 208 points out of a maximum 320 with a passing rate of 92.1% at the first round. It scored 204 points with a passing rate of 93.3% in the second round.
Conclusion
The difference between the cut scores obtained through yes/no Angoff and Hofstee methods did not exceed 2% points, and they were within the range of cut scores from previous studies. In both methods, the difference between the panelists decreased as rounds were repeated. Overall, our findings suggest the acceptability of cut scores and the possibility of independent use of both methods.

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Issues in the 3rd year of the COVID-19 pandemic, including computer-based testing, study design, ChatGPT, journal metrics, and appreciation to reviewers
Sun Huh
Journal of Educational Evaluation for Health Professions.2023; 20: 5. CrossRef
Presidential address: improving item validity and adopting computer-based testing, clinical skills assessments, artificial intelligence, and virtual reality in health professions licensing examinations in Korea
Hyunjoo Pai
Journal of Educational Evaluation for Health Professions.2023; 20: 8. CrossRef

Equal Z standard-setting method to estimate the minimum number of panelists for a medical school’s objective structured clinical examination in Taiwan: a simulation study: Ying-Ying Yang, Pin-Hsiang Huang, Ling-Yu Yang, Chia-Chang Huang, Chih-Wei Liu, Shiau-Shian Huang, Chen-Huan Chen, Fa-Yauh Lee, Shou-Yen Kao, Boaz Shulruf; J Educ Eval Health Prof. 2022;19:27. Published online October 17, 2022; DOI: https://doi.org/10.3352/jeehp.2022.19.27

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Abstract PDF Supplementary Material: Purpose
Undertaking a standard-setting exercise is a common method for setting pass/fail cut scores for high-stakes examinations. The recently introduced equal Z standard-setting method (EZ method) has been found to be a valid and effective alternative for the commonly used Angoff and Hofstee methods and their variants. The current study aims to estimate the minimum number of panelists required for obtaining acceptable and reliable cut scores using the EZ method.
Methods
The primary data were extracted from 31 panelists who used the EZ method for setting cut scores for a 12-station of medical school’s final objective structured clinical examination (OSCE) in Taiwan. For this study, a new data set composed of 1,000 random samples of different panel sizes, ranging from 5 to 25 panelists, was established and analyzed. Analysis of variance was performed to measure the differences in the cut scores set by the sampled groups, across all sizes within each station.
Results
On average, a panel of 10 experts or more yielded cut scores with confidence more than or equal to 90% and 15 experts yielded cut scores with confidence more than or equal to 95%. No significant differences in cut scores associated with panel size were identified for panels of 5 or more experts.
Conclusion
The EZ method was found to be valid and feasible. Less than an hour was required for 12 panelists to assess 12 OSCE stations. Calculating the cut scores required only basic statistical skills.

Acceptability of the 8-case objective structured clinical examination of medical students in Korea using generalizability theory: a reliability study: Song Yi Park, Sang-Hwa Lee, Min-Jeong Kim, Ki-Hwan Ji, Ji Ho Ryu; J Educ Eval Health Prof. 2022;19:26. Published online September 8, 2022; DOI: https://doi.org/10.3352/jeehp.2022.19.26

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Abstract PDF Supplementary Material

Purpose
This study investigated whether the reliability was acceptable when the number of cases in the objective structured clinical examination (OSCE) decreased from 12 to 8 using generalizability theory (GT).
Methods
This psychometric study analyzed the OSCE data of 439 fourth-year medical students conducted in the Busan and Gyeongnam areas of South Korea from July 12 to 15, 2021. The generalizability study (G-study) considered 3 facets—students (p), cases (c), and items (i)—and designed the analysis as p×(i:c) due to items being nested in a case. The acceptable generalizability (G) coefficient was set to 0.70. The G-study and decision study (D-study) were performed using G String IV ver. 6.3.8 (Papawork, Hamilton, ON, Canada).
Results
All G coefficients except for July 14 (0.69) were above 0.70. The major sources of variance components (VCs) were items nested in cases (i:c), from 51.34% to 57.70%, and residual error (pi:c), from 39.55% to 43.26%. The proportion of VCs in cases was negligible, ranging from 0% to 2.03%.
Conclusion
The case numbers decreased in the 2021 Busan and Gyeongnam OSCE. However, the reliability was acceptable. In the D-study, reliability was maintained at 0.70 or higher if there were more than 21 items/case in 8 cases and more than 18 items/case in 9 cases. However, according to the G-study, increasing the number of items nested in cases rather than the number of cases could further improve reliability. The consortium needs to maintain a case bank with various items to implement a reliable blueprinting combination for the OSCE.

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Applying the Generalizability Theory to Identify the Sources of Validity Evidence for the Quality of Communication Questionnaire
Flávia Del Castanhel, Fernanda R. Fonseca, Luciana Bonnassis Burg, Leonardo Maia Nogueira, Getúlio Rodrigues de Oliveira Filho, Suely Grosseman
American Journal of Hospice and Palliative Medicine®.2023;[Epub] CrossRef

Possibility of using the yes/no Angoff method as a substitute for the percent Angoff method for estimating the cutoff score of the Korean Medical Licensing Examination: a simulation study: Janghee Park; J Educ Eval Health Prof. 2022;19:23. Published online August 31, 2022; DOI: https://doi.org/10.3352/jeehp.2022.19.23

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Abstract PDF Supplementary Material

Purpose
The percent Angoff (PA) method has been recommended as a reliable method to set the cutoff score instead of a fixed cut point of 60% in the Korean Medical Licensing Examination (KMLE). The yes/no Angoff (YNA) method, which is easy for panelists to judge, can be considered as an alternative because the KMLE has many items to evaluate. This study aimed to compare the cutoff score and the reliability depending on whether the PA or the YNA standard-setting method was used in the KMLE.
Methods
The materials were the open-access PA data of the KMLE. The PA data were converted to YNA data in 5 categories, in which the probabilities for a “yes” decision by panelists were 50%, 60%, 70%, 80%, and 90%. SPSS for descriptive analysis and G-string for generalizability theory were used to present the results.
Results
The PA method and the YNA method counting 60% as “yes,” estimated similar cutoff scores. Those cutoff scores were deemed acceptable based on the results of the Hofstee method. The highest reliability coefficients estimated by the generalizability test were from the PA method and the YNA method, with probabilities of 70%, 80%, 60%, and 50% for deciding “yes,” in descending order. The panelist’s specialty was the main cause of the error variance. The error size was similar regardless of the standard-setting method.
Conclusion
The above results showed that the PA method was more reliable than the YNA method in estimating the cutoff score of the KMLE. However, the YNA method with a 60% probability for deciding “yes” also can be used as a substitute for the PA method in estimating the cutoff score of the KMLE.

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Citations to this article as recorded by

Issues in the 3rd year of the COVID-19 pandemic, including computer-based testing, study design, ChatGPT, journal metrics, and appreciation to reviewers
Sun Huh
Journal of Educational Evaluation for Health Professions.2023; 20: 5. CrossRef
Possibility of independent use of the yes/no Angoff and Hofstee methods for the standard setting of the Korean Medical Licensing Examination written test: a descriptive study
Do-Hwan Kim, Ye Ji Kang, Hoon-Ki Park
Journal of Educational Evaluation for Health Professions.2022; 19: 33. CrossRef

Comparing the cut score for the borderline group method and borderline regression method with norm-referenced standard setting in an objective structured clinical examination in medical school in Korea: Song Yi Park, Sang-Hwa Lee, Min-Jeong Kim, Ki-Hwan Ji, Ji Ho Ryu; J Educ Eval Health Prof. 2021;18:25. Published online September 27, 2021; DOI: https://doi.org/10.3352/jeehp.2021.18.25

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Abstract PDF Supplementary Material

Purpose
Setting standards is critical in health professions. However, appropriate standard setting methods do not always apply to the set cut score in performance assessment. The aim of this study was to compare the cut score when the standard setting is changed from the norm-referenced method to the borderline group method (BGM) and borderline regression method (BRM) in an objective structured clinical examination (OSCE) in medical school.
Methods
This was an explorative study to model the implementation of the BGM and BRM. A total of 107 fourth-year medical students attended the OSCE at 7 stations for encountering standardized patients (SPs) and at 1 station for performing skills on a manikin on July 15th, 2021. Thirty-two physician examiners evaluated the performance by completing a checklist and global rating scales.
Results
The cut score of the norm-referenced method was lower than that of the BGM (P<0.01) and BRM (P<0.02). There was no significant difference in the cut score between the BGM and BRM (P=0.40). The station with the highest standard deviation and the highest proportion of the borderline group showed the largest cut score difference in standard setting methods.
Conclusion
Prefixed cut scores by the norm-referenced method without considering station contents or examinee performance can vary due to station difficulty and content, affecting the appropriateness of standard setting decisions. If there is an adequate consensus on the criteria for the borderline group, standard setting with the BRM could be applied as a practical and defensible method to determine the cut score for OSCE.

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Analyzing the Quality of Objective Structured Clinical Examination in Alborz University of Medical Sciences
Suleiman Ahmadi, Amin Habibi, Mitra Rahimzadeh, Shahla Bahrami
Alborz University Medical Journal.2023; 12(4): 485. CrossRef
Possibility of using the yes/no Angoff method as a substitute for the percent Angoff method for estimating the cutoff score of the Korean Medical Licensing Examination: a simulation study
Janghee Park
Journal of Educational Evaluation for Health Professions.2022; 19: 23. CrossRef
Newly appointed medical faculty members’ self-evaluation of their educational roles at the Catholic University of Korea College of Medicine in 2020 and 2021: a cross-sectional survey-based study
Sun Kim, A Ra Cho, Chul Woon Chung
Journal of Educational Evaluation for Health Professions.2021; 18: 28. CrossRef

Effects of a curriculum integrating critical thinking on medical students’ critical thinking ability in Iran: a quasi-experimental study: Akbar Soltani, Mahboobeh Khabaz Mafinejad, Maryam Tajik, Hamideh Moosapour, Taha Bayat, Fatemeh Mohseni; J Educ Eval Health Prof. 2021;18:14. Published online July 5, 2021; DOI: https://doi.org/10.3352/jeehp.2021.18.14

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Abstract PDF Supplementary Material

Purpose
Improving physicians’ critical thinking abilities could have meaningful impacts on various aspects of routine medical practice, such as choosing treatment plans, making an accurate diagnosis, and reducing medical errors. The present study aimed to measure the effects of a curriculum integrating critical thinking on medical students’ skills at Tehran University of Medical Sciences, Iran.
Methods
A 1-group pre-test, post-test quasi-experimental design was used to assess medical students’ critical thinking abilities as they progressed from the first week of medical school to middle of the third year of the undergraduate medical curriculum. Fifty-six participants completed the California Critical Thinking Skills Test twice from 2016 to 2019.
Results
Medical students were asked to complete the California Critical Thinking Skills Test the week before their first educational session. The post-test was conducted 6 weeks after the 2 and half-year program. Out of 91 medical students with a mean age of 20±2.8 years who initially participated in the study, 56 completed both the pre- and post-tests. The response rate of this study was 61.5%. The analysis subscale showed the largest change. Significant changes were found in the analysis (P=0.03), evaluation (P=0.04), and inductive reasoning (P<0.0001) subscales, but not in the inference (P=0.28), and deductive reasoning (P=0.42) subscales. There was no significant difference according to gender (P=0.77).
Conclusion
The findings of this study show that a critical thinking program had a substantial effect on medical students’ analysis, inductive reasoning, and evaluation skills, but negligible effects on their inference and deductive reasoning scores.

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Health literacy profiles of medical students in an Australian Doctor of Medicine programme: A cross‐sectional study using the Health Literacy Questionnaire
Margo Lane, Robyn Dixon, Ken J. Donald, Robert S. Ware
Health Promotion Journal of Australia.2023;[Epub] CrossRef
Evaluating and comparing critical thinking skills of residents of Tehran University of Medical Sciences
Saeed Reza Mehrpour, Amin Hoseini Shavoun, Azita Kheiltash, Rasoul Masoomi, Roya Nasle Seraji
BMC Medical Education.2023;[Epub] CrossRef
Construction of structural correlation of quantitative literacy and critical thinking, and factors affecting them in students of pre-service biology teachers
M. Arsyad, Sri Rahayu Lestari, Murni Sapta Sari, Fatchur Rohman
Eurasia Journal of Mathematics, Science and Technology Education.2023; 19(10): em2342. CrossRef
Habilidades del pensamiento crítico y liderazgo docente: propuesta con perspectiva de género para la formación inicial
Liliana Pedraja-Rejas, Carlos Rodríguez-Cisterna
Revista Venezolana de Gerencia.2023; 28(104): 1667. CrossRef

Malaysian pharmacy students’ perspectives on the virtual objective structured clinical examination during the coronavirus disease 2019 pandemic: Mohamed Hassan Elnaem, Muhammad Eid Akkawi, Nor Ilyani Mohamed Nazar, Norny Syafinaz Ab Rahman, Mohamad Haniki Nik Mohamed; J Educ Eval Health Prof. 2021;18:6. Published online April 12, 2021; DOI: https://doi.org/10.3352/jeehp.2021.18.6

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326 Download
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Abstract PDF Supplementary Material

Purpose
This study investigated pharmacy students’ perceptions of various aspects of virtual objective structured clinical examinations (vOSCEs) conducted during the coronavirus disease 2019 pandemic in Malaysia.
Methods
This cross-sectional study involved third- and fourth-year pharmacy students at the International Islamic University Malaysia. A validated self-administered questionnaire was distributed to students who had taken a vOSCE a week before.
Results
Out of the 253 students who were approached, 231 (91.3%) completed the questionnaire. More than 75% of the participants agreed that the instructions and preparations were clear and helpful in familiarizing them with the vOSCE flow. It was found that 53.2% of the respondents were satisfied with the flow and conduct of the vOSCE. However, only approximately one-third of the respondents believed that the tasks provided in the vOSCE were more convenient, less stressful, and easier to perform than those in the conventional OSCE. Furthermore, 49.7% of the students favored not having a vOSCE in the future when conducting a conventional OSCE becomes feasible again. Internet connection was reported as a problem hindering the performance of the vOSCE by 51.9% of the participants. Students who were interested in clinical pharmacy courses were more satisfied than other students with the preparation and operation of the vOSCE, the faculty support, and the allocated time.
Conclusion
Students were satisfied with the organization and operation of the vOSCE. However, they still preferred the conventional OSCE over the vOSCE. These findings might indicate a further need to expose students to telehealthcare models.

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Harjit Singh, Daniel Malone, Angelina S. Lim
American Journal of Pharmaceutical Education.2023; 87(7): 100099. CrossRef
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Sanah Hasan, Hamzah AlZubaidi, Subish Palaian, Muaed AlOmar, Nadir Kheir, Yassin Al Hariri, Sawsan Shanableh, Ahmed Gaili, Abby Kahaleh
American Journal of Pharmaceutical Education.2023; 87(12): 100555. CrossRef
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Haniye Mastour, Nazanin Shamaeian Razavi
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Hanis Hanum Zulkifly, Izzati Abdul Halim Zaki, Mahmathi Karuppannan, Zakiah Mohd Noordin
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Carla Pires
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Perceptions of undergraduate pharmacy students towards online assessments used during the COVID-19 pandemic in a public university in Malaysia
Usman Abubakar, A'isyah Humaira' Mohd Salehudin, Nik Afiqah Athirah Nik Mohd Asri, Nur Atiqah Mohammad Rohi, Nur Hasyimah Ramli, Nur Izzah Mohd Khairuddin, Nur Fariesya Saiful Izham, Siti Hajar Nasrullah, Auwal Adam Sa’ad
Pharmacy Education.2022; 22(1): 191. CrossRef
Evaluation of the Utility of Online Objective Structured Clinical Examination Conducted During the COVID-19 Pandemic
Mona Arekat, Mohamed Hany Shehata, Abdelhalim Deifalla, Ahmed Al-Ansari, Archana Kumar, Mohamed Alsenbesy, Hamdi Alshenawi, Amgad El-Agroudy, Mariwan Husni, Diaa Rizk, Abdelaziz Elamin, Afif Ben Salah, Hani Atwa
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Pharmacy.2022; 10(3): 60. CrossRef
Supporting pharmacy students' preparation for an entry-to-practice OSCE using video cases
Michelle Flood, Judith Strawbridge, Eimear Ní Sheachnasaigh, Theo Ryan, Laura J. Sahm, Aoife Fleming, James W. Barlow
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Empirical analysis comparing the tele-objective structured clinical examination and the in-person assessment in Australia
Jonathan Zachary Felthun, Silas Taylor, Boaz Shulruf, Digby Wigram Allen
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Voluntary assignments during the pediatric clerkship to enhance the clinical experiences of medical students in the United States: Conrad Krawiec, Abigail Kate Myers; J Educ Eval Health Prof. 2020;17:17. Published online May 27, 2020; DOI: https://doi.org/10.3352/jeehp.2020.17.17

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Abstract PDF Supplementary Material

Purpose
Pediatric clerkships that utilize off-campus clinical sites ensure clinical comparability by requiring completion of patient-focused tasks. Some tasks may not be attainable (especially off-campus); thus, they are not assigned. The objective of this study was to evaluate the feasibility of providing a voluntary assignment list to third-year medical students in their pediatric clerkship.
Methods
This is a retrospective single-center cross-sectional analysis of voluntary assignment completion during the 2019–2020 academic year. Third-year medical students were provided a voluntary assignment list (observe a procedure, use an interpreter phone to obtain a pediatric history, ask a preceptor to critique a clinical note, and follow-up on a patient after the rotation ends). Descriptive statistics were used to assess the timing and distribution of voluntary assignment completion.
Results
In total, 132 subjects (77 on the main campus, 55 off-campus) were included. Eighteen (13.6%) main-campus and 16 (12.1%) off-campus students completed at least 1 voluntary assignment. The following voluntary assignments were completed: observe a procedure (15, 11.4%), use an interpreter phone (26, 19.7%), ask a preceptor to critique a clinical note (12, 9.1%), and follow-up on a patient after the rotation ends (7, 5.3%). Off-campus students completed the assignments more often (29.1%) than on-campus students (23.4%)
Conclusion
Our clerkship values specific patient-focused tasks that may enhance student development, but are not attainable at all clinical sites. When provided a voluntary assignment list, 34 out of 132 students (25.8%) completed them. Clerkships that utilize off-campus sites should consider this approach to optimize the pediatric educational experience.

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Adherence to Self - Care Practice Among Type 2 Diabetes Mellitus Patients Using the Theory of Planned Behavior and Health Belief Model at Comprehensive Specialized Hospitals of Amhara Region, Ethiopia: Mixed Method
Wudneh Simegn, Solomon Ahmed Mohammed, Getachew Moges
Patient Preference and Adherence.2023; Volume 17: 3367. CrossRef

Effect of student-directed solicitation of evaluation forms on the timeliness of completion by preceptors in the United States: Conrad Krawiec, Vonn Walter, Abigail Kate Myers; J Educ Eval Health Prof. 2019;16:32. Published online October 16, 2019; DOI: https://doi.org/10.3352/jeehp.2019.16.32

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Abstract PDF Supplementary Material: Purpose
Summative evaluation forms assessing a student’s clinical performance are often completed by a faculty preceptor at the end of a clinical training experience. At our institution, despite the use of an electronic system, timeliness of completion has been suboptimal, potentially limiting our ability to monitor students’ progress. The aim of the present study was to determine whether a student-directed approach to summative evaluation form collection at the end of a pediatrics clerkship would enhance timeliness of completion for third-year medical students.
Methods
This was a pre- and post-intervention educational quality improvement project focused on 156 (82 pre-intervention, 74 post-intervention) third-year medical students at Penn State College of Medicine completing their 4-week pediatric clerkship. Utilizing REDCap (Research Electronic Data Capture) informatics support, student-directed evaluation form solicitation was encouraged. The Wilcoxon rank-sum test was applied to compare the pre-intervention (May 1, 2017 to March 2, 2018) and post-intervention (April 2, 2018 to December 21, 2018) percentages of forms completed before the rotation midpoint.
Results
In total, 740 evaluation forms were submitted during the pre-intervention phase and 517 during the post-intervention phase. The percentage of forms completed before the rotation midpoint increased after implementing student-directed solicitation (9.6% vs. 39.7%, P<0.05).
Conclusion
Our clerkship relies on subjective summative evaluations to track students’ progress, deploy improvement strategies, and determine criteria for advancement; however, our preceptors struggled with timely submission. Allowing students to direct the solicitation of evaluation forms enhanced the timeliness of completion and should be considered in clerkships facing similar challenges.

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