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Usability and adherence evaluation of a smartphone app for home-based symptom monitoring of cervical dystonia

Rica Schulze, Roland Stenger, Sebastian Loens, Tobias Baeumer, Sebastian Fudickar*

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Background: Cervical dystonia (CD) is a movement disorder that is characterized by involuntary muscle contractions causing abnormal head postures. Current assessments rely primarily on infrequent clinical evaluations and subjective patient-reported outcomes (about every 3 to 4 months), limiting detailed understanding of symptom progression between treatments. Objective: Improved understanding of symptom progression would enhance personalized treatment with Botulinum toxin A therapy. For this purpose, we introduce Move2Screen, a smartphone application designed for frequent home-based, asynchronous video monitoring of symptom progression for CD patients. We evaluate the usability and adherence of Move2Screen. Methods: Adherence was assessed in a longitudinal home-based observational study involving eight from initially 11 patients with CD who continued participation after the initial on-site acquisition. Usability was measured using the German mHealth App Usability Questionnaire (G-MAUQ) after the two-week mark, which evaluates ease-of-use, interface satisfaction, and usefulness. Adherence was analyzed by tracking the frequency and timing of recorded videos. Results: The app showed good overall usability scores on the G-MAUQ and a high adherence rate, with participants completing 74% of the intended video recordings. However, usability evaluations highlighted some challenges in perceived usefulness and minor technical issues reported by users. Conclusion: The Move2Screen app demonstrates promising usability and adherence for home-based symptom monitoring in CD. However, addressing technical limitations, expanding participant cohorts, and integrating clinical decision support are essential next steps. These developments may enhance individualized care by enabling more informed therapeutic adjustments and improving long-term disease management.

OriginalspracheEnglisch
Aufsatznummer20552076251344515
ZeitschriftDigital health
Jahrgang11
ISSN2055-2076
DOIs
PublikationsstatusVeröffentlicht - 01.01.2025

Fördermittel

We thank all participants of the user study for their time and effort. We acknowledge financial support by the German Federal Ministry of Education and Research (01ZZ2007). We acknowledge financial support by Land Schleswig-Holstein within the funding programme Open Access Publikationsfonds. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the German Federal Ministry of Education and Research (01ZZ2007).

TrägerTrägernummer
Schleswig-Holstein
Bundesministerium für Bildung und Forschung01ZZ2007

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    Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

    1. SDG 3 – Gesundheit und Wohlergehen
      SDG 3 – Gesundheit und Wohlergehen
    2. SDG 9 – Industrie, Innovation und Infrastruktur
      SDG 9 – Industrie, Innovation und Infrastruktur

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