Lab 3R-Respiratory Research and Rehabilitation Laboratory, School of Health Sciences (ESSUA), University of Aveiro, 3810-193, Aveiro, Portugal.
Institute for Research in Biomedicine (iBiMED), University of Aveiro, 3810-193 Aveiro, Portugal.
Med Biol Eng Comput. 2018 Apr;56(4):623-633. doi: 10.1007/s11517-017-1697-8. Epub 2017 Aug 24.
The mastering of pulmonary auscultation requires complex acoustic skills. Computer-assisted learning tools (CALTs) have potential to enhance the learning of these skills; however, few have been developed for this purpose and do not integrate all the required features. Thus, this study aimed to assess the usability of a new CALT for learning pulmonary auscultation. Computerized Lung Auscultation-Sound Software (CLASS) usability was assessed by eight physiotherapy students using computer screen recordings, think-aloud reports, and facial expressions. Time spent in each task, frequency of messages and facial expressions, number of clicks and problems reported were counted. The timelines of the three methods used were matched/synchronized and analyzed. The tasks exercises and annotation of respiratory sounds were the ones requiring more clicks (median 132, interquartile range [23-157]; 93 [53-155]; 91 [65-104], respectively) and where most errors (19; 37; 15%, respectively) and problems (n = 7; 6; 3, respectively) were reported. Each participant reported a median of 6 problems, with a total of 14 different problems found, mainly related with CLASS functionalities (50%). Smile was the only facial expression presented in all tasks (n = 54). CLASS is the only CALT available that meets all the required features for learning pulmonary auscultation. The combination of the three usability methods identified advantages/disadvantages of CLASS and offered guidance for future developments, namely in annotations and exercises. This will allow the improvement of CLASS and enhance students' activities for learning pulmonary auscultation skills.
掌握肺部听诊需要复杂的声学技能。计算机辅助学习工具(CALTs)有可能增强这些技能的学习,但为此目的开发的工具很少,并且没有集成所有必需的功能。因此,本研究旨在评估一种新的 CALT 在学习肺部听诊方面的可用性。使用计算机屏幕录制、思考 aloud 报告和面部表情评估了计算机肺部听诊声音软件 (CLASS) 的可用性。记录了每个任务花费的时间、消息和面部表情的频率、点击次数和报告的问题数量。使用的三种方法的时间线被匹配/同步并进行了分析。任务练习和呼吸音的注释需要更多的点击次数(中位数 132,四分位距 [23-157];93 [53-155];91 [65-104]),并且报告了最多的错误(19 个;37 个;15%)和问题(分别为 7 个;6 个;3 个)。每位参与者报告了中位数为 6 个问题,总共发现了 14 个不同的问题,主要与 CLASS 功能相关(50%)。微笑是所有任务中唯一出现的面部表情(n=54)。CLASS 是唯一可用的 CALT,它满足学习肺部听诊所需的所有功能要求。三种可用性方法的结合确定了 CLASS 的优缺点,并为未来的发展提供了指导,特别是在注释和练习方面。这将允许 CLASS 的改进,并增强学生学习肺部听诊技能的活动。