BMC Medical Informatics and Decision Making (Dec 2024)

Evaluation of mobile applications related to patients with Parkinson’s disease based on their essential features and capabilities

  • Hamid Azadi,
  • Mohammad-Reza Akbarzadeh-Totonchi,
  • Yones Jahani,
  • Sadrieh Hajesmaeel Gohari,
  • Reza Khajouei

DOI
https://doi.org/10.1186/s12911-024-02804-9
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 13

Abstract

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Abstract Background Parkinson's disease (PD) is a neurodegenerative disorder that affects millions of people worldwide. Mobile technologies enable Parkinson's patients to improve their quality of life, manage symptoms, and enhance overall well-being through various applications (apps). There is no integrated list of specific capabilities available to cater to the unique needs of Parkinson's patient-focused mobile apps. Objective This study aimed to identify the key features and capabilities prioritized in developing mobile apps for patients with Parkinson's disease (PWP) and rank the related apps in this field. Methods We searched iTunes and Google Play for PWP apps with "Parkinson" or "Parkinson's" in their title or description. We evaluated existing mobile apps through a four-step process: identification, screening, eligibility, and feature analysis. We installed apps on Android and iOS devices, categorized their features/capabilities by the “use case model” and other additional identified features. We scored them using a tool called FARM (Feature-based Application Rating Method) and ranked PWP-related apps. Results Thirty-three apps related to the PWP were included and evaluated. Almost half of the apps were available on both the Android and iOS platforms. Seventy-five percent of the genres were associated with health and fitness. Although the included apps utilized certain features, none of the capabilities were used simultaneously. According to the experts' opinions, 'large font' was the most important feature and was utilized in 70% of the mobile applications. Additionally, the average score for all Parkinson's disease-related applications was 17.71 (SD = 7.92). The app titled ‘Swiss Parkinson’ had the highest score. Conclusions Integrating a relevant list of features used for Parkinson's patients' applications yielded valuable insights for the design of mobile applications tailored to patients’ needs. These features are highly efficient in dealing with the specific obstacles related to this disease.

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