Journal of Educational Evaluation for Health Professions

Research article

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.

Software report

Integration of computer-simulated practical exercises into undergraduate medical pharmacology education at Mulungushi University, Zambia: Christian Chinyere Ezeala; J Educ Eval Health Prof. 2020;17:8. Published online February 24, 2020; DOI: https://doi.org/10.3352/jeehp.2020.17.8

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Purpose
This study was conducted to determine whether a computer simulation of practical exercises in undergraduate medical pharmacology led to the realization of the intended learning outcomes.
Methods
The study was a descriptive analysis of laboratory classes carried out using computer simulation programs. Five programs were used to teach practical pharmacology to undergraduate medical students at the Mulungushi University School of Medicine and Health Sciences. The study period was January 2018 to December 2019. The computer programs included a pharmacokinetics simulator (CyberPatient), organ bath simulator (OBSim), AutonomiCAL for simulating autonomic pharmacology, and Virtual Cat and Virtual Rat (RatCVS) for simulating cardiovascular pharmacology. Students utilized these programs during their pharmacology laboratory classes, wrote reports, and answered relevant clinical questions.
Results
The 5 programs provided easy and precise platforms for students to explore concepts and demonstrate knowledge of pharmacokinetics, pharmacodynamics, autonomic and cardiovascular pharmacology, and their clinical applications.
Conclusion
The programs were effective learning tools. Students’ learning was easily assessed based on their laboratory reports. Although the computer programs met medical students’ learning needs, wet laboratory exercises are also needed to meet the needs of students who require practical laboratory skills.

Citations

Citations to this article as recorded by

Simulation as a Tool to Illustrate Clinical Pharmacology Concepts to Healthcare Program Learners
Liza Barbarello Andrews, Les Barta
Current Pharmacology Reports.2020; 6(4): 182. CrossRef

Research Article

Learning gain of pharmacy students after introducing guided inquiry learning with computer simulation in a pharmacology class in Fiji: Christian C Ezeala, Arnold A Ram, Napolioni Vulakouvaki; J Educ Eval Health Prof. 2013;10:9. Published online December 23, 2012; DOI: https://doi.org/10.3352/jeehp.2013.10.9

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Citations

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