Segawa Makoto, Iizuka Norio, Ogihara Hiroyuki, Tanaka Koichiro, Nakae Hajime, Usuku Koichiro, Yamaguchi Kojiro, Wada Kentaro, Uchizono Akihiro, Nakamura Yuji, Nishida Yoshihiro, Ueda Toshiko, Shiota Atsuko, Hasunuma Naoko, Nakahara Kyoko, Hebiguchi Miwa, Hamamoto Yoshihiko
Department of Kampo Medicine, Yamaguchi University Hospital, Ube, Japan.
Yamaguchi Health Examination Center, Ogori-shimogo, Japan.
Front Med Technol. 2023 Mar 13;5:1050909. doi: 10.3389/fmedt.2023.1050909. eCollection 2023.
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.
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.
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.
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, < 0.01).
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.
在汉方医学中,舌诊用于诊断“证”这一病理状态,但尚未建立对其诊断能力的客观评估方法。我们基于标准化舌象数据库构建了一个舌诊电子学习与评估系统。
本研究旨在通过评估汉方医学专家(KSs)、医学专业人员和学生的舌诊能力来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KSs在一项80道题的舌诊测试中的答案数据,该测试评估了舌象的八个方面,并评估了(i)测试分数、(ii)测试难度和区分度指数、(iii)诊断一致性以及(iv)KSs之间的诊断匹配率。在第二项研究中,我们进行了一项20道题的通用汉方测试,并分析了107名医学专业人员和56名学生的答案数据,该测试评估了舌色辨别能力,并评估了(v)正确率、(vi)测试难度以及(vii)与正确率相关的因素。
在第一项研究中,平均测试分数为62.2±10.7分。28道题较难(正确率<50%),34道题难度适中(50%-85%),18道题较容易(≥85%)。关于评分者内信度,参与数据库构建的5名KSs的平均诊断匹配率为0.66±0.08,至于评分者间信度,15名KSs之间的诊断匹配率对于Gwet一致性系数1为0.52(95%置信区间,0.38-0.65),匹配率程度为中等。在第二项研究中,问题难度适中,医学专业人员的正确率为81.3%,学生的正确率为82.1%。区分度指数对于医学专业人员较好(0.35),对于学生较差(0.06)。在医学专业人员中,该问题的正确答案组在汉方通用测试中的总分显著高于错误答案组(85.3±8.4分对75.8±11.8分,<0.01)。
该系统能够客观评估舌诊能力,具有较高的实用性。利用该系统有望有助于提高学习者的舌诊能力以及舌诊的标准化。