Nasim Saboorizadeh, M. Firoozabadi, N. Mohammadzadeh
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The validity of the questionnaire was assessed by the opinions of five experts. Content validity index was measured and item with CVI score higher than 0.79 was considered appropriate. Reliability was assessed through Cronbach's alpha. Statistical sample was determined using sample size determination method in two cities of Tehran and Shiraz. In this study, structural equation modeling (SEM) was used. SPSS software version 16 was used for data analysis. The final data analysis was done by modeling in Smart PLS version 3 softwareResults: For each t-statistic, the path between the two variables was examined, and the statistics whose magnitude was greater than 1.96, at a confidence level of 95%, considering the same path that represents the strength and power of the effect between the two variables, the research hypotheses were statistically and in sample. Examined. Of the 19 hypotheses considered for the adoption of the research technology model, 16 were accepted.Conclusion: Ease of use is one of the most influential factors on attitudes in Parkinson's patients in Iran. Technology anxiety is one of the most important factor that reduce the acceptance of portable smart systems. The Parkinson's patient user does not recognize recreation as a useful system, but the inclusion of educational content to promote health in the program will make Parkinson's patients more welcomed. 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引用次数: 2
摘要
导言:现在很多疾病都需要持续监测,与患者在线沟通,及时干预是必要的。本研究在这些研究结果的基础上,探讨了影响帕金森病患者远程医疗入院的因素。材料与方法:本研究为描述性调查。本研究的工具是一份研究人员制作的问卷,该问卷基于Medline、Science direct(爱思唯尔)等有效数据库中的图书馆和互联网研究,并搜索2000年至2017年间的原创研究文章。在英语数据库中检索远程医疗软件设计中的关键词,帕金森病,技术接受模型。这些问题是按照李克特谱设计的。问卷的效度由五位专家的意见来评估。测量内容效度指数,认为CVI得分大于0.79的项目为适宜项目。通过Cronbach’s alpha评估信度。采用样本量测定法对德黑兰和设拉子两个城市进行统计样本测定。本研究采用结构方程模型(SEM)。采用SPSS 16版软件进行数据分析。最后的数据分析是在Smart PLS version 3软件中建模完成的。结果:对于每个t统计量,检查了两个变量之间的路径,并且在95%的置信水平下,考虑到代表两个变量之间影响强度和威力的相同路径,研究假设是统计和样本内的。检查。在考虑采用研究技术模型的19个假设中,有16个被接受。结论:易用性是影响伊朗帕金森病患者态度的重要因素之一。技术焦虑是降低便携式智能系统接受度的最重要因素之一。帕金森患者用户并不认为娱乐是一个有用的系统,但在程序中包含促进健康的教育内容将使帕金森患者更受欢迎。如果软件是由治疗师开的处方,帕金森患者的接受率将会提高。
Factors Affecting Telemedicine Acceptance in Patients with Parkinson's Disease
Introduction: Many diseases require constant monitoring todays, and online communication with patients for timely intervention is necessary. In this study, based on the results of these studies, we investigated the factors affecting telemedicine admission in Parkinson's patients.Material and methods: This research was a descriptive survey. The tool of this research is a researcher-made questionnaire that was based on library and internet studies in valid databases such as Medline, Science direct (Elsevier), and searching for original research articles between 2000 and 2017. To search for keywords in the design of a telemedicine software, Parkinson's disease, Technology Acceptance Model in English-language databases.The questions were designed with the Likert spectrum. The validity of the questionnaire was assessed by the opinions of five experts. Content validity index was measured and item with CVI score higher than 0.79 was considered appropriate. Reliability was assessed through Cronbach's alpha. Statistical sample was determined using sample size determination method in two cities of Tehran and Shiraz. In this study, structural equation modeling (SEM) was used. SPSS software version 16 was used for data analysis. The final data analysis was done by modeling in Smart PLS version 3 softwareResults: For each t-statistic, the path between the two variables was examined, and the statistics whose magnitude was greater than 1.96, at a confidence level of 95%, considering the same path that represents the strength and power of the effect between the two variables, the research hypotheses were statistically and in sample. Examined. Of the 19 hypotheses considered for the adoption of the research technology model, 16 were accepted.Conclusion: Ease of use is one of the most influential factors on attitudes in Parkinson's patients in Iran. Technology anxiety is one of the most important factor that reduce the acceptance of portable smart systems. The Parkinson's patient user does not recognize recreation as a useful system, but the inclusion of educational content to promote health in the program will make Parkinson's patients more welcomed. If the software is prescribed by the therapist, its acceptance rate in Parkinson's patients will increase.