Abuabara Allan, de Castro Juliana-Pierdona, Locks Maria-Eduarda-Nunis, Pezzin Ana-Paula-Testa, Mattos Natanael-Henrique-Ribeiro, de Araújo Cristiano-Miranda, Kuchler Erika-Calvano, Baratto-Filho Flares
University of the Region of Joinville (Univille), Joinville, Santa Catarina, Brazil.
Tuiuti University of Paraná (UTP), Curitiba, Paraná, Brazil.
J Clin Exp Dent. 2023 Aug 1;15(8):e612-e620. doi: 10.4317/jced.60342. eCollection 2023 Aug.
Endodontic diagnosis can be compared to a puzzle, requiring the interpretation of a series of clinical and imaging data. Mobile health, especially mobile application (apps), can assist professionals in endodontic diagnosis. This work aims to evaluate an app - Endo 10 app, designed to assist pulpal and periapical diagnosis based on the patient's signs and symptoms and radiographic data.
A total of 41 dental students and dentists with different levels of expertise (10 multi-specialty clinic professors, 17 residents in endodontics and 14 dental students) were included. The System Usability Scale (SUS) was used to evaluate usability and the Davis' technology acceptance model was used to evaluate usefulness of Endo 10 app. The Mann-Whitney test was performed to compare SUS scores between professors and undergraduate dental students and to compare questions 6 and 7 of the utility test and verify whether participants who understood that the technology was useful also better understood the concepts of endodontic diagnosis. The agreement between professor's diagnosis with the app and professor without the app, and between professor and residents in endodontics with the app were evaluated.
The SUS score at the 50th percentile was 77.5, graded as acceptable. No significant difference was observed in the SUS scores when analyzing professors and dental students separately ( = 0.442). Usefulness test showed positive responses ranging between 72% - 100%. No statistically significant difference was observed between questions 6 and 7 of the utility test ( = 0.206), indicating that the group of participants who understood that the technology was useful in endodontic diagnosis was associated with the agreement that the application helped to better understand the concepts related. The diagnosis agreement between professor in the common diagnosis process and professor with app was 100% (31) of cases. The concordance between professor and residents in endodontics with the app was 71% (22) of cases. The differences were associated with resident's misinterpreting the patient's data.
The Endo 10 app reached the usability and usefulness requirements. It proved accurate in diagnosing pulpal and periapical pathologies. Dental education, endodontics, diagnosis, smartphone, dental informatics.
牙髓病诊断可比作一个谜题，需要对一系列临床和影像数据进行解读。移动健康，尤其是移动应用程序（应用），可协助专业人员进行牙髓病诊断。本研究旨在评估一款应用程序——Endo 10应用，其设计目的是根据患者的体征和症状以及影像学数据协助进行牙髓和根尖周诊断。
共纳入41名具有不同专业水平的牙科学生和牙医（10名多专科诊所教授、17名牙髓病住院医师和14名牙科学生）。使用系统可用性量表（SUS）评估可用性，并使用戴维斯技术接受模型评估Endo 10应用的有用性。进行曼-惠特尼检验以比较教授与本科牙科学生之间的SUS得分，并比较效用测试的问题6和问题7，以验证那些认为该技术有用的参与者是否也能更好地理解牙髓病诊断的概念。评估教授使用该应用程序与不使用该应用程序时的诊断一致性，以及教授与牙髓病住院医师使用该应用程序时的诊断一致性。
SUS得分的第50百分位数为77.5，评级为可接受。分别分析教授和牙科学生时，SUS得分未观察到显著差异（P = 0.442）。效用测试显示积极响应率在72% - 100%之间。效用测试的问题6和问题7之间未观察到统计学显著差异（P = 0.206），这表明那些认为该技术在牙髓病诊断中有用的参与者群体与认为该应用有助于更好地理解相关概念的共识相关。在共同诊断过程中，教授使用应用程序与不使用应用程序时的诊断一致性为100%（31例）。教授与牙髓病住院医师使用该应用程序时的一致性为71%（22例）。差异与住院医师对患者数据的错误解读有关。
Endo 10应用程序达到了可用性和有用性要求。它在诊断牙髓和根尖周病变方面被证明是准确的。牙科教育、牙髓病学、诊断、智能手机、牙科信息学。
