Perceived Self-efficacy in Parkinson’s Disease Through Mobile Health Monitoring

Sabine Theis*, Dajana Schäfer, Christina Haubrich, Christopher Brandl, Matthias Wille, Sonja A. Kotz, Verena Nitsch, Alexander Mertens

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Parkinson’s disease (PD) is one of the most common neurodegenerative diseases. The non-specific symptoms lead to a diagnosis years after the actual onset of the disease. However, the earlier a diagnosis can be made, the more effective therapies are. Here we present and evaluate a smartphone app prototype supporting an early diagnosis with patients (N = 20). Since self-efficacy is decisive for the patient’s handling of the disease, the mobile diagnostic app should optimally support a patients’ self-efficacy. In this regard, a mixed-methods study revealed significant negative relationships of depression (BDI-FS) and technical competence belief (ρ = 0.46, p < 0.05) and technical commitment (ρ = 0.48, p < 0.05). Qualitative results revealed that PD patients confirm a PD diagnosis app as enriching their daily lives and imagined that the app could have an impact on their self-efficacy. Patients believed that the awareness and knowledge about the disease enhances their self-efficacy and reduce emotionally charged uncertainty as well as to let them regain a sense of control through active self-management.
Original languageEnglish
Title of host publicationHCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. HCII 2020
Subtitle of host publication22nd HCI International Conference, HCII 2020 Copenhagen, Denmark, July 19–24, 2020 Proceedings
EditorsC. Stephanidis, M. Antona, Q. Gao, J. Zhou
ISBN (Electronic)978-3-030-60149-2
ISBN (Print)978-3-030-60148-5
Publication statusPublished - 25 Sept 2020
Event22nd International Conference on Human-Computer Interaction - Online, Copenhagen, Denmark
Duration: 19 Jul 202024 Jul 2020
Conference number: 22

Publication series

SeriesLecture Notes in Computer Science


Conference22nd International Conference on Human-Computer Interaction
Abbreviated titleHCI 2020
Internet address

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