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Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson’s disease data
Mobile and wearable device-captured data have the potential to inform Parkinson’s disease (PD) care. The objective of the Clinician Input Study was to assess the feasibility and clinical utility of data obtained using a mobile health technology from PD patients. In this observational, exploratory st...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761168/ https://www.ncbi.nlm.nih.gov/pubmed/31583283 http://dx.doi.org/10.1038/s41746-019-0169-y |
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author | Elm, Jordan J. Daeschler, Margaret Bataille, Lauren Schneider, Ruth Amara, Amy Espay, Alberto J. Afek, Michal Admati, Chen Teklehaimanot, Abeba Simuni, Tanya |
author_facet | Elm, Jordan J. Daeschler, Margaret Bataille, Lauren Schneider, Ruth Amara, Amy Espay, Alberto J. Afek, Michal Admati, Chen Teklehaimanot, Abeba Simuni, Tanya |
author_sort | Elm, Jordan J. |
collection | PubMed |
description | Mobile and wearable device-captured data have the potential to inform Parkinson’s disease (PD) care. The objective of the Clinician Input Study was to assess the feasibility and clinical utility of data obtained using a mobile health technology from PD patients. In this observational, exploratory study, PD participants wore a smartwatch and used the Fox Wearable Companion mobile phone app to stream movement data and report symptom severity and medication intake for 6 months. Data were analyzed using the Intel® Pharma Analytics Platform. Clinicians reviewed participants’ data in a dashboard during in-office visits at 2 weeks, 1, 3, and 6 months. Clinicians provided feedback in focus groups leading to dashboard updates. Between June and August 2017, 51 PD patients were recruited at four US sites, and 39 (76%) completed the 6-month study. Patients streamed 83,432 h of movement data from their smartwatches (91% of expected). Reporting of symptoms and medication intake using the app was lower than expected, 44% and 60%, respectively, but did not differ according to baseline characteristics. Clinicians’ feedback resulted in ten updates to the dashboard during the study period. Clinicians reported that medications and patient reported outcomes were generally discernable in the dashboard and complementary to clinical assessments. Movement, symptoms, and medication intake data were feasibly translated from the app into a clinician dashboard but there was substantial attrition rate over 6 months. Further enhancements are needed to ensure long-term patient adherence to portable technologies and optimal digital data transfer to clinicians caring for PD patients. |
format | Online Article Text |
id | pubmed-6761168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67611682019-10-03 Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson’s disease data Elm, Jordan J. Daeschler, Margaret Bataille, Lauren Schneider, Ruth Amara, Amy Espay, Alberto J. Afek, Michal Admati, Chen Teklehaimanot, Abeba Simuni, Tanya NPJ Digit Med Article Mobile and wearable device-captured data have the potential to inform Parkinson’s disease (PD) care. The objective of the Clinician Input Study was to assess the feasibility and clinical utility of data obtained using a mobile health technology from PD patients. In this observational, exploratory study, PD participants wore a smartwatch and used the Fox Wearable Companion mobile phone app to stream movement data and report symptom severity and medication intake for 6 months. Data were analyzed using the Intel® Pharma Analytics Platform. Clinicians reviewed participants’ data in a dashboard during in-office visits at 2 weeks, 1, 3, and 6 months. Clinicians provided feedback in focus groups leading to dashboard updates. Between June and August 2017, 51 PD patients were recruited at four US sites, and 39 (76%) completed the 6-month study. Patients streamed 83,432 h of movement data from their smartwatches (91% of expected). Reporting of symptoms and medication intake using the app was lower than expected, 44% and 60%, respectively, but did not differ according to baseline characteristics. Clinicians’ feedback resulted in ten updates to the dashboard during the study period. Clinicians reported that medications and patient reported outcomes were generally discernable in the dashboard and complementary to clinical assessments. Movement, symptoms, and medication intake data were feasibly translated from the app into a clinician dashboard but there was substantial attrition rate over 6 months. Further enhancements are needed to ensure long-term patient adherence to portable technologies and optimal digital data transfer to clinicians caring for PD patients. Nature Publishing Group UK 2019-09-25 /pmc/articles/PMC6761168/ /pubmed/31583283 http://dx.doi.org/10.1038/s41746-019-0169-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Elm, Jordan J. Daeschler, Margaret Bataille, Lauren Schneider, Ruth Amara, Amy Espay, Alberto J. Afek, Michal Admati, Chen Teklehaimanot, Abeba Simuni, Tanya Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson’s disease data |
title | Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson’s disease data |
title_full | Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson’s disease data |
title_fullStr | Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson’s disease data |
title_full_unstemmed | Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson’s disease data |
title_short | Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson’s disease data |
title_sort | feasibility and utility of a clinician dashboard from wearable and mobile application parkinson’s disease data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761168/ https://www.ncbi.nlm.nih.gov/pubmed/31583283 http://dx.doi.org/10.1038/s41746-019-0169-y |
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