Evidence map›Paper›PMID 40786958›Full record

ReviewAdvances in medical education and practice2025

The Generation and Use of Medical MCQs: A Narrative Review.

Sinclair Steele, Niranjan Nayak, Yehia Mohamed, Debadatta Panigrahi

Abstract readReview
In one paragraph

Review in Advances in medical education and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sinclair SteeleDepartment of Pathological Sciences, Ajman University College of Medicine, Ajman, United Arab Emirates.ORCID 0000-0002-0409-8039
Niranjan NayakDepartment of Microbiology, Manipal College of Medical Sciences, Pokhara, Nepal.
Yehia MohamedDepartment of Pathological Sciences, Ajman University College of Medicine, Ajman, United Arab Emirates.
Debadatta PanigrahiDepartment of Pathological Sciences, Ajman University College of Medicine, Ajman, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of multiple-choice questions in medical assessments is ubiquitous and extends in breadth from undergraduate formative and summative assessments to postgraduate certifications and reaccreditations. Despite the clear importance of multiple-choice questions in medicine, in the last thirty years there has been no authoritative peer reviewed publication that reviews the overall generation and use of multiple-choice questions in medicine. Producing effective and useful medical multiple-choice questions is as much of an art form as it is a science - unfortunately, every new writer of such questions tends to rely on their own experiences of such questions and then travel along their individual and tortuous pathway to produce "acceptable" questions. Our review article provides practical guidance and information that will assist writers of medical multiple-choice questions. As well as extensively discussing common pitfalls, we provide a checklist that represents optimum practice in question generation. We directly compare examples of good and poor multiple-choice questions. We describe the metrics for measuring effective questions; specifically, the discrimination and difficulty indices. We discuss the optimum approach to training faculty to produce

Indexed as

difficulty indexdiscrimination indexmultiple-choice questionspostgraduate educationproblem-based questionsummative assessmentundergraduate education

Identifiers

PMID40786958
PMCPMC12335258

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.