使用基于标准化舌头图像数据库的舌头诊断电子学习/电子评估系统客观评估舌头诊断能力。

Frontiers in Medical Technology Pub Date : 2023-03-13 eCollection Date: 2023-01-01 DOI:10.3389/fmedt.2023.1050909
Makoto Segawa, Norio Iizuka, Hiroyuki Ogihara, Koichiro Tanaka, Hajime Nakae, Koichiro Usuku, Kojiro Yamaguchi, Kentaro Wada, Akihiro Uchizono, Yuji Nakamura, Yoshihiro Nishida, Toshiko Ueda, Atsuko Shiota, Naoko Hasunuma, Kyoko Nakahara, Miwa Hebiguchi, Yoshihiko Hamamoto
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摘要

背景:在康波医学中,舌诊用于诊断病理状态 "翔",但其诊断能力的客观评价方法尚未建立。目的:本研究旨在通过评估堪布专家(KSs)、医务人员和学生的舌诊能力,验证该评估系统的实用性:在第一项研究中,我们分析了 15 名 KS 在 80 题舌诊测试中的答题数据,该测试评估了舌诊结果的八个方面,并评估了 (i) 测试得分、(ii) 测试难度和辨别指数、(iii) 诊断一致性和 (iv) KS 之间的诊断匹配率。在第二项研究中,我们进行了一项 20 道题的普通堪布测试,分析了 107 名医务人员和 56 名学生的答题数据,评估了舌色辨别能力,并评价了(v) 正确答题率、(vi) 测试难度和(vii) 正确答题率相关因素:在第一项研究中,测试平均分为 62.2 ± 10.7 分。结果:在第一次研究中,测试平均分为(62.2±10.7)分,有 28 道题难度较大(正确率为 p 结论:该系统可客观评价舌诊结果:该系统能客观评价舌诊能力,实用性强。利用该系统可望有助于提高学习者的舌诊能力和舌诊的标准化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Objective evaluation of tongue diagnosis ability using a tongue diagnosis e-learning/e-assessment system based on a standardized tongue image database.

Background: In Kampo medicine, tongue examination is used to diagnose the pathological condition "Sho," but an objective evaluation method for its diagnostic ability has not been established. We constructed a tongue diagnosis electronic learning and evaluation system based on a standardized tongue image database.

Purpose: This study aims to verify the practicality of this assessment system by evaluating the tongue diagnosis ability of Kampo specialists (KSs), medical professionals, and students.

Methods: In the first study, we analyzed the answer data of 15 KSs in an 80-question tongue diagnosis test that assesses eight aspects of tongue findings and evaluated the (i) test score, (ii) test difficulty and discrimination index, (iii) diagnostic consistency, and (iv) diagnostic match rate between KSs. In the second study, we administered a 20-question common Kampo test and analyzed the answer data of 107 medical professionals and 56 students that assessed the tongue color discrimination ability and evaluated the (v) correct answer rate, (vi) test difficulty, and (vii) factors related to the correct answer rate.

Result: In the first study, the average test score was 62.2 ± 10.7 points. Twenty-eight questions were difficult (correct answer rate, <50%), 34 were moderate (50%-85%), and 18 were easy (≥85%). Regarding intrarater reliability, the average diagnostic match rate of five KSs involved in database construction was 0.66 ± 0.08, and as for interrater reliability, the diagnostic match rate between the 15 KSs was 0.52 (95% confidence interval, 0.38-0.65) for Gwet's agreement coefficient 1, and the degree of the match rate was moderate. In the second study, the difficulty level of questions was moderate, with a correct rate of 81.3% for medical professionals and 82.1% for students. The discrimination index was good for medical professionals (0.35) and poor for students (0.06). Among medical professionals, the correct answer group of this question had a significantly higher total score on the Kampo common test than the incorrect answer group (85.3 ± 8.4 points vs. 75.8 ± 11.8 points, p < 0.01).

Conclusion: This system can objectively evaluate tongue diagnosis ability and has high practicality. Utilizing this system can be expected to contribute to improving learners' tongue diagnosis ability and standardization of tongue diagnosis.

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