ArticleNPJ Parkinson's disease2025
Optimizing wrist-worn wearable compliance with insights from two Parkinson's disease cohort studies.
Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Daily-Life, Sensor-Derived Tremor Measures Are Sensitive to Progression in Early Parkinson's Disease.Annals of neurology · 2026Article
- Review
- Radiomics: Current Applications and Future Directions.MedComm · 2026Review
- Wearable-sensor based walking and non-walking measures as progression markers in early to mid-stage Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Light force-powered cellular medical micromachines.Frontiers in bioengineering and biotechnology · 2026Review
- Stage-specific digital health technology biomarkers enhance diagnostic and early progression detection in Parkinson's disease.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wearable technologies enable real-time, continuous, noninvasive data collection, where long-term compliance is essential. The Personalized Parkinson Project (PPP) and the Parkinson's Progression Markers Initiative (PPMI) utilized the Verily Study Watch. Participants, including people diagnosed with Parkinson's disease (PD), prodromal PD, and healthy controls, were instructed to wear the watch for up to 23 h daily without data displaying or reporting data back to the participant. Compliance measures and user experiences were evaluated. A centralized support model identified barriers to data collection and enabled proactive outreach. Median daily wear time was 21.9 h for PPP and 21.1-22.2 h per day for PPMI over 2 years. Participants were highly motivated contributing to PD research. These results highlight strategies for achieving strong engagement without providing individual data. This approach offers valuable insights for study designs where returning data to participants could introduce bias or affect the data integrity.
Identifiers
What OpenQuestion holds
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.