Evidence map›Paper›PMID 40743513›Full record

ArticleJMIR medical education2025

Resident Physician Recognition of Tachypnea in Clinical Simulation Videos in Japan: Cross-Sectional Study.

Kiyoshi Shikino, Yuji Nishizaki, Sho Fukui, Koshi Kataoka, Daiki Yokokawa, Taro Shimizu, Yu Yamamoto, Kazuya Nagasaki, Hiroyuki Kobayashi, Yasuharu Tokuda

Abstract readMulticenter Study
In one paragraph

Article in JMIR medical education, 2025. 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
–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

1 citing paper in PubMed.

  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

10 authors.

Kiyoshi Shikino *Department of Community-Oriented Medical Education, Graduate School of Medicine, Chiba University, 1-8-1, Inohana, Chu-ou-ku, Chiba, 2608670, Japan, 81 43-222-7171.ORCID 0000-0002-3721-3443
Yuji Nishizaki *Division of Medical Education, School of Medicine, Juntendo University, Tokyo, Japan.ORCID 0000-0002-6964-6702
Sho FukuiGeneral Medicine, School of Medicine, Kyorin University, Tokyo, Japan.ORCID 0000-0002-3082-1374
Koshi KataokaDivision of Medical Education, School of Medicine, Juntendo University, Tokyo, Japan.ORCID 0000-0002-8093-4289
Daiki YokokawaDepartment of General Medicine, Chiba University Hospital, Chiba, Japan.ORCID 0000-0003-0944-8664
Taro ShimizuDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University, Mibu, Japan.ORCID 0000-0002-3788-487X
Yu YamamotoDivision of General Medicine, Center for Community Medicine, Jichi Medical University, Shimotsuke, Japan.ORCID 0000-0003-2247-4963
Kazuya NagasakiUniversity of Tsukuba, Tsukuba, Japan.ORCID 0000-0002-8312-7802
Hiroyuki KobayashiDepartment of Internal Medicine, Mito Kyodo General Hospital, Mito, Japan.ORCID 0000-0001-8377-0091
Yasuharu TokudaMuribushi Okinawa Center for Teaching Hospitals, Okinawa, Japan.ORCID 0000-0002-9325-7934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traditional assessments of clinical competence using multiple-choice questions (MCQs) have limitations in the evaluation of real-world diagnostic abilities. As such, recognizing non-verbal cues, like tachypnea, is crucial for accurate diagnosis and effective patient care. Objective: This study aimed to evaluate how detecting such cues impacts the clinical competence of resident physicians by using a clinical simulation video integrated into the General Medicine In-Training Examination (GM-ITE). Methods: This multicenter cross-sectional study enrolled first- and second-year resident physicians who participated in the GM-ITE 2022. Participants watched a 5-minute clinical simulation video depicting a patient with acute pulmonary thromboembolism, and subsequently answered diagnostic questions. Propensity score matching was applied to create balanced groups of resident physicians who detected tachypnea (ie, the detection group) and those who did not (ie, the non-detection group). After matching, we compared the GM-ITE scores and the proportion of correct clinical simulation video answers between the two groups. Subgroup analyses assessed the consistency between results. Results: In total, 5105 resident physicians were included, from which 959 pairs were identified after the clinical simulation video. Covariates were well balanced between the detection and non-detection groups (standardized mean difference <0.1 for all variables). Post-matching, the detection group achieved significantly higher GM-ITE scores (mean [SD], 47.6 [8.4]) than the non-detection group (mean [SD], 45.7 [8.1]; mean difference, 1.9; 95% CI, 1.1-2.6; P=.041). The proportion of correct clinical simulation video answers was also significantly higher in the detection group (39.2% vs 3.0%; mean difference, 36.2%; 95% CI, 32.8-39.4). Subgroup analyses confirmed consistent results across sex, postgraduate years, and age groups. Conclusions: Overall, this study revealed that detecting non-verbal cues like tachypnea significantly affects clinical competence, as evidenced by higher GM-ITE scores among resident physicians. Integrating video-based simulations into traditional MCQ examinations enhances the assessment of diagnostic skills by providing a more comprehensive evaluation of clinical abilities. Thus, recognizing non-verbal cues is crucial for clinical competence. Video-based simulations offer a valuable addition to traditional knowledge assessments by improving the diagnostic skills and preparedness of clinicians.

Indexed as

Clinical CompetenceInternship and ResidencySimulation TrainingAdultCross-Sectional StudiesEducational MeasurementFemaleHumansJapanMaleVideo Recordingclinical competenceclinical simulation videogeneral medicine in-training examinationnon-verbal informationtachypnea

Identifiers

PMID40743513
PMCPMC12313080

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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.