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MoveONParkinson
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Resumo(s)
Introduction: Despite the effectiveness of exercise-based interventions on symptom management and disease progression, many people with Parkinson’s Disease (PwPD) do not exercise regularly. In line with the ubiquitous use of digital health technology, the MoveONParkinson digital solution was developed, comprising a Web Platform and a Mobile App with a Conversational Agent (CA). The interface features were designed based on the principles of Social Cognitive Theory with the goal of fostering behavior change in PwPD for sustained exercise participation and improved disease management. Methods: Using a mixed methods approach, this study aimed to collect feedback, assess the acceptability of the Mobile App and the Web Platform, and evaluate the usability of the latter. Quantitative data, which included questionnaire responses and the System Usability Scale (SUS) scores, were analyzed using descriptive statistics, heatmaps, and correlation matrices. Qualitative data, comprising semi-structured and thinking-aloud interview transcripts, were subjected to an inductive thematic analysis. A total of 28 participants were involved in the study, comprising 20 physiotherapists (average age: 34.50 ± 10.4), and eight PwPD (average age: 65.75 ± 8.63; mean Hoehn & Yahr: 2.0 (± 0.76)). Results: Three main themes emerged from the thematic analysis of the interviews, namely: Self-management (Theme 1), User Engagement (Theme 2), and Recommendations (Theme 3). The assessment of the Mobile App and the CA (mean score: 4.42/5.0 ± 0.79) suggests that PwPD were able to navigate this interface without notable difficulties. The mean SUS score of 79.50 (± 12.40%) with a 95% confidence interval ranging from 73.70 to 85.30, reveal good usability. Discussion: These findings indicate a high level of acceptability of the MoveONParkinson digital solution, serving as a foundation for assessing its impact on exercise engagement and, subsequently, its influence on symptom management and quality of life of PwPD.
Descrição
Funding Information: The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Polytechnic Institute of Setubal (Portugal) and the Horizon Europe research and innovation project “AI-PROGNOSIS: AI-based Parkinson’s disease risk assessment and prognosis,” under Grant Agreement no. 101080581. Publisher Copyright: Copyright © 2024 Alves, Mota, Sineiro, Carmo, Santos, Macedo, Carreira, Madeira, Dias and Pereira.
Palavras-chave
behavior change mobile health MoveONParkinson Parkinson’s disease self-efficacy self-management user engagement Public Health, Environmental and Occupational Health SDG 3 - Good Health and Well-being