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Lookup NU author(s): Selina Boege, Madison Milne-Ives, Ananya AnanthakrishnanORCiD, Professor Camille CarrollORCiD, Professor Edward MeinertORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
© 2024 - The authors. Published by IOS Press.Background: Digital self-management tools including mobile apps and wearables can enhance personalized care in Parkinson's disease, and incorporating patient and clinician feedback into their evaluation can empower users and nurture patient-clinician relationships, necessitating a review to assess the state of the art and refine their use. Objective: This review aimed to summarize the state of the art of self-management systems used in Parkinson's disease management, detailing the application of self-management techniques and the integration of clinicians. It also aimed to provide a concise synthesis on the acceptance and usability of these systems from the clinicians' standpoint, reflecting both patient engagement and clinician experience. Methods: The review was organized following the PRISMA extension for Scoping Reviews and PICOS frameworks. Studies were retrieved from PubMed, CINAHL, Scopus, ACM Digital Library, and IEEE Xplore. Data was collected using a predefined form and then analyzed descriptively. Results: Of the 15,231 studies retrieved, 33 were included. Five technology types were identified, with systems combining technologies being the most evaluated. Common self-management strategies included educational material and symptom journals. Only 11 studies gathered data from clinicians or reported evidence of clinician integration; out of those, six studies point out the importance of raw data availability, data visualization, and integrated data summaries. Conclusions: While self-management systems for Parkinson's disease are well-received by patients, the studies underscore the urgency for more research into their usability for clinicians and integration into daily medical workflows to enhance overall care quality.
Author(s): Boege S, Milne-Ives M, Ananthakrishnan A, Carroll C, Meinert E
Publication type: Review
Publication status: Published
Journal: Journal of Parkinson's Disease
Year: 2024
Volume: 14
Issue: 7
Pages: 1387-1404
Online publication date: 15/10/2024
Acceptance date: 29/07/2024
ISSN (print): 1877-7171
ISSN (electronic): 1877-718X
Publisher: IOS Press BV
URL: https://doi.org/10.3233/JPD-240137
DOI: 10.3233/JPD-240137
PubMed id: 39392604
Data Access Statement: The datasets generated and/or analyzed in this review are available from the corresponding author on reasonable request. The full review, including all findings and conclusions, has been submitted for consideration in a peer-reviewed journal to ensure rigorous evaluation and wide dissemination among the scientific community. Upon acceptance, the review will be accessible in the published journal.
