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The Generation and Use of Medical MCQs: A Narrative Review
Sinclair Steele1, Niranjan Nayak2, Yehia Mohamed1,3
1Department of Pathological Sciences, Ajman University College of Medicine, Ajman, United Arab Emirates.
This review provides practical guidance for creating effective medical multiple-choice questions (MCQs). It covers common pitfalls, best practices, and metrics for assessing question quality in medical education.
Area of Science:
- Medical Education
- Assessment Design
- Question Development
Background:
- Multiple-choice questions (MCQs) are essential in medical assessments, from undergraduate to postgraduate levels.
- A lack of recent, authoritative peer-reviewed guidance on MCQ generation in medicine exists.
- Current MCQ development often relies on individual, unstandardized approaches.
Purpose of the Study:
- To provide practical guidance for medical professionals writing multiple-choice questions.
- To offer a comprehensive review of best practices in medical MCQ generation and use.
- To address common pitfalls and introduce metrics for effective question design.
Main Methods:
- Review article synthesizing current knowledge and best practices.
- Comparative analysis of effective and ineffective medical MCQs.
- Discussion of faculty training, student involvement, and AI in MCQ development.
Main Results:
- Identification of common pitfalls in medical MCQ creation.
- Introduction of a checklist for optimal question generation.
- Explanation of discrimination and difficulty indices for measuring question effectiveness.
Conclusions:
- Effective medical MCQ development requires specific training and adherence to best practices.
- Ongoing training is crucial for producing high-quality MCQs for medical education.
- Students and AI tools show potential in enhancing MCQ development.
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