ReviewCureus2024
The Utility of Multiple-Choice Assessment in Current Medical Education: A Critical Review.
Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Less is more? A systematic review and network meta-analysis on MCQ option numbers.BMC medical education · 2025Pooled it
- Psychometric performance and student perceptions of AI- versus student-generated multiple-choice questions: a single-center randomized controlled trial.BMC medical education · 2026Trial
- Student-generated multiple-choice questions enhance deeper learning in dental materials education: a randomized crossover trial.BMC medical education · 2026Trial
- Can AI Write MCQs? A Comparison of ChatGPT-Generated and Educator-Authored Multiple-Choice Questions in Graduate Nursing Education.Nursing reports (Pavia, Italy) · 2026Article
- Implementing Instagram as educational tool for teaching hematology and medical oncology - a cross-sectional study.BMC medical education · 2026Article
- ItemSight: Development of a Shiny Application for Simplified Item Analysis of Type A Multiple-Choice Questions.Cureus · 2026Article
- Exploring the length and time related concepts for scenario-based multiple-choice questions through perspectives of medical education experts: a mixed-method approach.Korean journal of medical education · 2026Article
- Evaluation of three artificial intelligence chatbots for generating clinical hematology multiple choice questions for medical students.Scientific reports · 2026Article
- ABCD Framework-Based Stratified Analysis of ECG Interpretation Among Chinese Internal Medicine Residents: A Cross-Sectional Study.Advances in medical education and practice · 2026Article
- Evaluating cognitive depth of AI-generated multiple-choice questions with Bloom's Taxonomy.PloS one · 2026Article
- Comparing ChatGPT and DeepSeek for Assessment of Multiple-Choice Questions in Orthopedic Medical Education: Cross-Sectional Study.JMIR formative research · 2025Article
- Review
- Article
- Quantitative and qualitative item analysis of exams of basic medical sciences departments of Tabriz University of Medical Sciences in 2023.BMC medical education · 2025Article
- Blended learning in dermatology: Enhancing clinical education for family medicine residents.Journal of family medicine and primary care · 2025Article
- Knowledge assessment tools in atopic dermatitis patient education: a scoping review.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2025Review
- Article
- Assessing the Utility of AI Versus Human-Created MCQs in Pediatric Medical Education.Journal of medical education and curricular developmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, healthcare education providers have boasted about a conscious shift towards increasing clinical competence via assessment tests that promote more active learning. Despite this, multiple-choice questions remain amongst the most prevalent forms of assessment. Various literature justifies the use of multiple-choice testing by its high levels of validity and reliability. Education providers also benefit from requiring fewer resources and costs in the development of questions and easier adaptivity of questions to compensate for neurodiversity. However, when testing these (and other) variables via a structured approach in terms of their utility, it is elucidated that these advantages are largely dependent on the quality of the questions that are written, the level of clinical competence that is to be attained by learners and the impact of negating confounding variables such as differential attainment. Attempts at improving the utility of multiple-choice question testing in modern healthcare curricula are discussed in this review, as well as the impact of these modifications on performance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.