Evidence map›Paper›PMID 38658906›Full record

ArticleBMC medical education2024

Utility of RAND/UCLA appropriateness method in validating multiple-choice questions on ECG.

Tomohiro Kaga, Shinji Inaba, Yukari Shikano, Yasuyuki Watanabe, Tomoki Fujisawa, Yusuke Akazawa, Muneaki Ohshita, Hiroshi Kawakami, Haruhiko Higashi, Jun Aono and 7 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

17 authors at 4 institutions in 3 countries.

Tomohiro KagaEhime University, Toon, Japan.
Shinji InabaDepartment of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan. inaba226@gmail.com.
Yukari ShikanoEhime University Graduate School of Medicine, Toon, Japan.
Yasuyuki WatanabeImabari City Fire Department, Imabari, Japan.
Tomoki FujisawaDepartment of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Yusuke AkazawaDepartment of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Muneaki OhshitaDepartment of Emergency and Critical Care Medicine, Graduate School of Medicine, Ehime University, Toon, Japan.
Hiroshi KawakamiDepartment of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Haruhiko HigashiDepartment of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Jun AonoDepartment of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Takayuki NagaiDepartment of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Mohammad Zahidul IslamDepartment of Information Communication Technology ICT Division, Government of Bangladesh, Dhaka, Bangladesh.
Muhammad WannousDepartment of Computer Information Science, Higher Colleges of Technology, Abu Dhabi, UAE.
Masatsugu SakataDepartments of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Kazumichi YamamotoDepartments of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Toshi A FurukawaDepartments of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Osamu YamaguchiDepartment of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Ehime University · JPKyoto University · JPHigher Colleges of Technology · AEMinistry of Local Government, Rural Development and Co-operatives · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate the utility of the RAND/UCLA appropriateness method (RAM) in validating expert consensus-based multiple-choice questions (MCQs) on electrocardiogram (ECG).

methodsAccording to the RAM user's manual, nine panelists comprising various experts who routinely handle ECGs were asked to reach a consensus in three phases: a preparatory phase (round 0), an online test phase (round 1), and a face-to-face expert panel meeting (round 2). In round 0, the objectives and future timeline of the study were elucidated to the nine expert panelists with a summary of relevant literature. In round 1, 100 ECG questions prepared by two skilled cardiologists were answered, and the success rate was calculated by dividing the number of correct answers by 9. Furthermore, the questions were stratified into "Appropriate," "Discussion," or "Inappropriate" according to the median score and interquartile range (IQR) of appropriateness rating by nine panelists. In round 2, the validity of the 100 ECG questions was discussed in an expert panel meeting according to the results of round 1 and finally reassessed as "Appropriate," "Candidate," "Revision," and "Defer."

resultsIn round 1 results, the average success rate of the nine experts was 0.89. Using the median score and IQR, 54 questions were classified as " Discussion." In the expert panel meeting in round 2, 23% of the original 100 questions was ultimately deemed inappropriate, although they had been prepared by two skilled cardiologists. Most of the 46 questions categorized as "Appropriate" using the median score and IQR in round 1 were considered "Appropriate" even after round 2 (44/46, 95.7%).

conclusionsThe use of the median score and IQR allowed for a more objective determination of question validity. The RAM may help select appropriate questions, contributing to the preparation of higher-quality tests.

Indexed as

ElectrocardiographyCardiologyClinical CompetenceConsensusEducational MeasurementHumansReproducibility of ResultsElectrocardiogramMedical educationMultiple-choice questionsRAND/UCLA appropriateness method

Identifiers

PMID38658906
PMCPMC11044544
OpenAlexW4395072742

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.