Remote smartphone monitoring of Parkinson's disease and individual response to therapy

Larsson Omberg*, Elias Chaibub Neto*, Thanneer M Perumal, Abhishek Pratap, Aryton Tediarjo, Jamie Adams, Bastiaan R Bloem, Brian M Bot, Molly Elson, Samuel M Goldman, Michael R Kellen, Karl Kieburtz, Arno Klein, Max A Little, Ruth Schneider, Christine Suver, Christopher Tarolli, Caroline M Tanner, Andrew D Trister, John WilbanksE Ray Dorsey, Lara M Mangravite

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Remote health assessments that gather real-world data (RWD) outside clinic settings require a clear understanding of appropriate methods for data collection, quality assessment, analysis and interpretation. Here we examine the performance and limitations of smartphones in collecting RWD in the remote mPower observational study of Parkinson's disease (PD). Within the first 6 months of study commencement, 960 participants had enrolled and performed at least five self-administered active PD symptom assessments (speeded tapping, gait/balance, phonation or memory). Task performance, especially speeded tapping, was predictive of self-reported PD status (area under the receiver operating characteristic curve (AUC) = 0.8) and correlated with in-clinic evaluation of disease severity (r = 0.71; P < 1.8 × 10-6) when compared with motor Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Although remote assessment requires careful consideration for accurate interpretation of RWD, our results support the use of smartphones and wearables in objective and personalized disease assessments.

Original languageEnglish
Pages (from-to)480-487
Number of pages8
JournalNature Biotechnology
Volume40
Issue number4
Early online date9 Aug 2021
DOIs
Publication statusPublished - Apr 2022

Bibliographical note

© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.

Keywords

  • Gait
  • Humans
  • Movement
  • Parkinson Disease/diagnosis
  • Severity of Illness Index
  • Smartphone

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