Evidence map›Paper›PMID 40122072›Full record

ArticleMedical education online2025

Reliability and validity of simulation-based Electrocardiogram assessment rubrics for cardiac life support skills among medical students using generalizability theory.

Sethapong Lertsakulbunlue, Kaophiphat Thammasoon, Anupong Kantiwong

Abstract readValidation Study
In one paragraph

Article in Medical education online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Sethapong LertsakulbunlueDepartment of Pharmacology, Phramongkutklao College of Medicine, Bangkok, Thailand.ORCID 0000-0002-9349-2088
Kaophiphat ThammasoonDepartment of Student Affairs, Phramongkutklao College of Medicine, Bangkok, Thailand.
Anupong KantiwongDepartment of Pharmacology, Phramongkutklao College of Medicine, Bangkok, Thailand.ORCID 0000-0003-1353-3650

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simulation-based learning (SBL) is effective for EKG interpretation training in the advanced cardiac life support (ACLS) context, enhancing motivation, confidence, and learning outcomes. However, research on the psychometrics of assessment rubrics for ACLS skills among pre-clinical students is limited. This study investigates the validity and reliability of assessment rubrics for ACLS skills, including EKG interpretation, scenario and pharmacological management, and teamwork. An SBL course that integrates basic EKG interpretation into ACLS Stations was conducted at Phramongkutklao College of Medicine, utilizing high-fidelity mannequins to simulate realistic scenarios, enrolling 96 medical students. The course consisted of five independent stations, and each student was assessed once by two raters using ten-item assessment rubrics. The rubrics included three domains: (1) EKG and ACLS algorithm skills, (2) management and mechanisms of action, and (3) affective domains. Validity evidence on the content was gathered, and construct validity was confirmed with confirmatory factor analysis (CFA). Inter-rater and internal consistency reliability were calculated. Generalizability theory was utilized to analyse the data. Three expert reviews yielded an item-objective congruence index of 0.67-1.00, with iterative validation through alpha and beta tests. The CFA demonstrated a good fit, but two questions with loading factors below 0.30 were removed, resulting in an eight-item assessment form. An inter-rater correlation of 0.70 (p < 0.001) and a Cronbach's alpha of 0.76 was demonstrated. To achieve a Phi-coefficient ≥0.80, three raters and at least 10 items are required in a p×i×r crossed design. With eight items, r:(p×i) nested design reliability was 0.69, 0.79, and 0.83 for one, two, and three raters, respectively. While a single rater with 10 items achieved a Phi-coefficient of 0.74. The rubrics for assessing ACLS skills among pre-clinical students demonstrated acceptable validity and reliability. A condensed eight-item rubric with acceptable reliability is proposed as a practical tool for optimizing assessment in future evaluations relevant to the pre-clinical context.

Indexed as

Advanced Cardiac Life SupportClinical CompetenceEducational MeasurementElectrocardiographySimulation TrainingStudents, MedicalEducation, Medical, UndergraduateFemaleHumansMaleManikinsPsychometricsReproducibility of ResultsACLSassessmentEKGgeneralizability theoryMedical studentspre-clinical programrubricssimulation

Identifiers

PMID40122072
PMCPMC11934178

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