TY - JOUR
T1 - Resident Physician Recognition of Tachypnea in Clinical Simulation Videos in Japan
T2 - Cross-Sectional Study
AU - Shikino, Kiyoshi
AU - Nishizaki, Yuji
AU - Fukui, Sho
AU - Kataoka, Koshi
AU - Yokokawa, Daiki
AU - Shimizu, Taro
AU - Yamamoto, Yu
AU - Nagasaki, Kazuya
AU - Kobayashi, Hiroyuki
AU - Tokuda, Yasuharu
N1 - Publisher Copyright:
© Kiyoshi Shikino, Yuji Nishizaki, Sho Fukui, Koshi Kataoka, Daiki Yokokawa, Taro Shimizu, Yu Yamamoto, Kazuya Nagasaki, Hiroyuki Kobayashi, Yasuharu Tokuda.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - clinical competence
KW - clinical simulation video
KW - general medicine in-training examination
KW - non-verbal information
KW - tachypnea
UR - https://www.scopus.com/pages/publications/105015342276
UR - https://www.scopus.com/pages/publications/105015342276#tab=citedBy
U2 - 10.2196/72640
DO - 10.2196/72640
M3 - Article
AN - SCOPUS:105015342276
SN - 2369-3762
VL - 11
JO - JMIR Medical Education
JF - JMIR Medical Education
M1 - e72640
ER -