Nasim Saboorizadeh - Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
Mohammad Firoozabadi - Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
Niloofar Mohammadzadeh - Department of Health Information Management, Faculty of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran

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 ۲۰۰۰ and ۲۰۱۷. 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 ۰.۷۹ 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 ۱۶ was used for data analysis. The final data analysis was done by modeling in Smart PLS version ۳ softwareResults:For each t-statistic, the path between the two variables was examined, and the statistics whose magnitude was greater than ۱.۹۶, at a confidence level of ۹۵%, 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 ۱۹ hypotheses considered for the adoption of the research technology model, ۱۶ 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.

Parkinson's Disease, Technology Acceptance Model, Telemedicine Software