ArticleBMC medical informatics and decision making2024
Evaluation of mobile applications related to patients with Parkinson's disease based on their essential features and capabilities.
Article in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Value in app store metadata and user reviews: A dual perspective on quality of Parkinson's and dementia apps.PLOS digital health · 2026Article
- Bridging the global Parkinson's divide: Technology as a structural solution for equitable and brain health-integrated care.Journal of Parkinson's disease · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundParkinson'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.
objectiveThis 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.
methodsWe 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.
resultsThirty-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.
conclusionsIntegrating 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.