Han Zhi-Li, Lei Yu-Meng, Yu Jing, Lei Bing-Song, Ye Hua-Rong, Zhang Ge
Department of Medical Ultrasound, China Resources and Wisco General Hospital, Wuhan University of Science and Technology, Wuhan, China.
Medical College, Wuhan University of Science and Technology, Wuhan, China.
Front Robot AI. 2024 Oct 9;11:1413065. doi: 10.3389/frobt.2024.1413065. eCollection 2024.
With the increasing application of 5G remote ultrasound robots in healthcare, robust methods are in critical demand to assess participant satisfaction and identify its influencing factors. At present, there is limited empirical research on multi-parametric and multidimensional satisfaction evaluation of participants with 5G remote ultrasound robot examination. Previous studies have demonstrated that structural equation modeling (SEM) effectively integrates various statistical techniques to examine the relationships among multiple variables. Therefore, this study aimed to evaluate the satisfaction of participants with 5G remote ultrasound robot examination and its influencing factors using SEM.
Between April and June 2022, 213 participants from Wuhan Automobile Manufacturing Company underwent remote ultrasound examinations using the MGIUS-R3 remote ultrasound robot system. After these examinations, the participants evaluated the performance of the 5G remote ultrasound robot based on their personal experiences and emotional responses. They completed a satisfaction survey using a self-developed questionnaire, which included 19 items across five dimensions: examination efficiency, examination perception, communication perception, value perception, and examination willingness. A SEM was established to assess the satisfaction of participants with the 5G remote ultrasound robot examinations and the influencing factors.
A total of 201 valid questionnaires were collected. The overall satisfaction of participants with the 5G remote ultrasound robot examination was 45.43 ± 11.60, with 169 participants (84%) expressing satisfaction. In the path hypothesis relationship test, the dimensions of examination efficiency, examination perception, communication perception, and value perception had positive effects on satisfaction, with standardized path coefficients of 0.168, 0.170, 0.175, and 0.191. Satisfaction had a direct positive effect on examination willingness, with a standardized path coefficient of 0.260. Significant differences were observed across different educational levels in the dimensions of examination perception, communication perception, value perception, and examination willingness. Participants with different body mass indices also showed significant differences in examination perception; all -values were less than 0.05.
In this study, value perception was identified as the most significant factor influencing satisfaction. It could be improved by enhancing participants' understanding of the accuracy and safety of 5G remote ultrasound robot examinations. This enhances satisfaction and the willingness to undergo examinations. Such improvements not only facilitate the widespread adoption of this technology but also promote the development of telemedicine services.
随着5G远程超声机器人在医疗保健领域的应用日益广泛,迫切需要可靠的方法来评估参与者的满意度并确定其影响因素。目前,关于5G远程超声机器人检查参与者的多参数和多维满意度评估的实证研究有限。先前的研究表明,结构方程模型(SEM)有效地整合了各种统计技术,以检验多个变量之间的关系。因此,本研究旨在使用SEM评估参与者对5G远程超声机器人检查的满意度及其影响因素。
2022年4月至6月期间,来自武汉汽车制造公司的213名参与者使用MGIUS-R3远程超声机器人系统接受了远程超声检查。检查结束后,参与者根据个人经历和情感反应对5G远程超声机器人的性能进行了评估。他们使用自行开发的问卷完成了满意度调查,该问卷包括五个维度的19个项目:检查效率、检查感知、沟通感知、价值感知和检查意愿。建立了一个SEM来评估参与者对5G远程超声机器人检查的满意度及其影响因素。
共收集到201份有效问卷。参与者对5G远程超声机器人检查的总体满意度为45.43±11.60,其中169名参与者(84%)表示满意。在路径假设关系检验中,检查效率、检查感知、沟通感知和价值感知维度对满意度有正向影响,标准化路径系数分别为0.168、0.170、0.175和0.191。满意度对检查意愿有直接正向影响,标准化路径系数为0.260。在检查感知、沟通感知、价值感知和检查意愿维度上,不同教育水平之间存在显著差异。不同体重指数的参与者在检查感知方面也存在显著差异;所有p值均小于0.05。
在本研究中,价值感知被确定为影响满意度的最重要因素。可以通过增强参与者对5G远程超声机器人检查的准确性和安全性的理解来提高满意度。这提高了满意度和接受检查的意愿。这些改进不仅有助于该技术的广泛应用,还促进了远程医疗服务的发展。