| Autor: |
Mendes LC; Centre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Minas Gerais 38400-902, Brazil.; Laboratoire de Conception, d'Optimisation et de Modélisation des Systèmes (LCOMS), Université de Lorraine, 57070 Metz, France., Marques IA; Centre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Minas Gerais 38400-902, Brazil.; Laboratoire de Conception, d'Optimisation et de Modélisation des Systèmes (LCOMS), Université de Lorraine, 57070 Metz, France., Alves CM; Laboratoire de Conception, d'Optimisation et de Modélisation des Systèmes (LCOMS), Université de Lorraine, 57070 Metz, France.; Assistive Technology Laboratory, Faculty of Electrical Engineering (NTA), Federal University of Uberlândia, Minas Gerais 38400-902, Brazil., Vieira MF; Bioengineering and Biomechanics Laboratory (Labioeng), Federal University of Goiás, Goiânia 74690-900, Brazil., Júnior EAL; Computer Graphics Laboratory (CG), Faculty of Electrical Engineering, Federal University of Uberlândia, Minas Gerais 38400-902, Brazil., Pereira AA; Centre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Minas Gerais 38400-902, Brazil., Naves ELM; Assistive Technology Laboratory, Faculty of Electrical Engineering (NTA), Federal University of Uberlândia, Minas Gerais 38400-902, Brazil., Oliveira FHM; Federal Institute of Education, Science and Technology of Brasília-Brasília Campus (IFB), Brasília 70830-450, Brazil., Bourhis G; Laboratoire de Conception, d'Optimisation et de Modélisation des Systèmes (LCOMS), Université de Lorraine, 57070 Metz, France., Pino P; Laboratoire de Conception, d'Optimisation et de Modélisation des Systèmes (LCOMS), Université de Lorraine, 57070 Metz, France., Morère Y; Laboratoire de Conception, d'Optimisation et de Modélisation des Systèmes (LCOMS), Université de Lorraine, 57070 Metz, France., Andrade AO; Centre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Minas Gerais 38400-902, Brazil. |
| Abstrakt: |
(1) Background: Several instruments are used to assess individuals with Parkinson's disease (PD). However, most instruments necessitate the physical presence of a clinician for evaluation, were not designed for PD, nor validated for remote application. (2) Objectives: To develop and validate a self-assessment questionnaire that can be used remotely, and to assess the respondents' health condition. (3) Methods: A questionnaire, so-called Multidimensional Assessment Questionnaire for Individuals with PD (MAQPD), was developed, administered remotely, and completed by 302 people with PD. MAQPD was validated using factor analysis (FA). The participants' level of impairment was estimated using factor loadings. The scale's accuracy was assessed estimating floor and ceiling effects and Cronbach's alpha. (4) Results: FA suggested classifying the questions into daily activities, cognition, and pain. The respondents did not have extremely severe impairment (most scores ranged from 100 to 180 points), and the factors with the lowest scores were cognition and pain. The instrument had no significant floor or ceiling effects (rates less than 15%), and the Cronbach's alpha value was larger than 0.90. (5) Conclusion: MAQPD is the only remote self-administered tool found in the literature capable of providing a detailed assessment of the general health status of individuals with PD. |
