Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting
Abstract Rheumatoid arthritis (RA) is a fluctuating progressive disease requiring frequent symptom assessment for appropriate management. Continuous tracking using digital technologies may provide greater insights of a patient’s experience. This prospective study assessed the feasibility, reliabilit...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-10-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-45387-7 |
| _version_ | 1797452718264025088 |
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| author | Valentin Hamy Christopher Llop Christopher W. Yee Luis Garcia-Gancedo Aoife Maxwell Wen Hung Chen Ryan Tomlinson Priyanka Bobbili Julien Bendelac Jessica Landry Maral DerSarkissian Mihran Yenikomshian Elinor A. Mody Mei Sheng Duh Rachel Williams |
| author_facet | Valentin Hamy Christopher Llop Christopher W. Yee Luis Garcia-Gancedo Aoife Maxwell Wen Hung Chen Ryan Tomlinson Priyanka Bobbili Julien Bendelac Jessica Landry Maral DerSarkissian Mihran Yenikomshian Elinor A. Mody Mei Sheng Duh Rachel Williams |
| author_sort | Valentin Hamy |
| collection | DOAJ |
| description | Abstract Rheumatoid arthritis (RA) is a fluctuating progressive disease requiring frequent symptom assessment for appropriate management. Continuous tracking using digital technologies may provide greater insights of a patient’s experience. This prospective study assessed the feasibility, reliability, and clinical utility of using novel digital technologies to remotely monitor participants with RA. Participants with moderate to severe RA and non-RA controls were monitored continuously for 14 days using an iPhone with an integrated bespoke application and an Apple Watch. Participants completed patient-reported outcome measures and objective guided tests designed to assess disease-related impact on physical function. The study was completed by 28 participants with RA, 28 matched controls, and 2 unmatched controls. Completion rates for all assessments were > 97% and were reproducible over time. Several guided tests distinguished between RA and control cohorts (e.g., mean lie-to-stand time [seconds]: RA: 4.77, control: 3.25; P < 0.001). Participants with RA reporting greater stiffness, pain, and fatigue had worse guided test performances (e.g., wrist movement [P < 0.001] and sit-to-stand transition time [P = 0.009]) compared with those reporting lower stiffness, pain, and fatigue. This study demonstrates that digital technologies can be used in a well-controlled, remote clinical setting to assess the daily impact of RA. |
| first_indexed | 2024-03-09T15:12:42Z |
| format | Article |
| id | doaj.art-5b71c7f5a0844469a44f9bae9e26b5a0 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-09T15:12:42Z |
| publishDate | 2023-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-5b71c7f5a0844469a44f9bae9e26b5a02023-11-26T13:16:21ZengNature PortfolioScientific Reports2045-23222023-10-0113111110.1038/s41598-023-45387-7Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical settingValentin Hamy0Christopher Llop1Christopher W. Yee2Luis Garcia-Gancedo3Aoife Maxwell4Wen Hung Chen5Ryan Tomlinson6Priyanka Bobbili7Julien Bendelac8Jessica Landry9Maral DerSarkissian10Mihran Yenikomshian11Elinor A. Mody12Mei Sheng Duh13Rachel Williams14Value Evidence and Outcomes, GSKAnalysis Group Inc.Analysis Group Inc.Value Evidence and Outcomes, GSKValue Evidence and Outcomes, GSKValue Evidence and Outcomes, GSKMedicine Development Leaders, GSKAnalysis Group Inc.Analysis Group Inc.Analysis Group Inc.Analysis Group Inc.Analysis Group Inc.Rheumatology Department, Reliant Medical GroupAnalysis Group Inc.Value Evidence and Outcomes, GSKAbstract Rheumatoid arthritis (RA) is a fluctuating progressive disease requiring frequent symptom assessment for appropriate management. Continuous tracking using digital technologies may provide greater insights of a patient’s experience. This prospective study assessed the feasibility, reliability, and clinical utility of using novel digital technologies to remotely monitor participants with RA. Participants with moderate to severe RA and non-RA controls were monitored continuously for 14 days using an iPhone with an integrated bespoke application and an Apple Watch. Participants completed patient-reported outcome measures and objective guided tests designed to assess disease-related impact on physical function. The study was completed by 28 participants with RA, 28 matched controls, and 2 unmatched controls. Completion rates for all assessments were > 97% and were reproducible over time. Several guided tests distinguished between RA and control cohorts (e.g., mean lie-to-stand time [seconds]: RA: 4.77, control: 3.25; P < 0.001). Participants with RA reporting greater stiffness, pain, and fatigue had worse guided test performances (e.g., wrist movement [P < 0.001] and sit-to-stand transition time [P = 0.009]) compared with those reporting lower stiffness, pain, and fatigue. This study demonstrates that digital technologies can be used in a well-controlled, remote clinical setting to assess the daily impact of RA.https://doi.org/10.1038/s41598-023-45387-7 |
| spellingShingle | Valentin Hamy Christopher Llop Christopher W. Yee Luis Garcia-Gancedo Aoife Maxwell Wen Hung Chen Ryan Tomlinson Priyanka Bobbili Julien Bendelac Jessica Landry Maral DerSarkissian Mihran Yenikomshian Elinor A. Mody Mei Sheng Duh Rachel Williams Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting Scientific Reports |
| title | Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting |
| title_full | Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting |
| title_fullStr | Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting |
| title_full_unstemmed | Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting |
| title_short | Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting |
| title_sort | patient centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting |
| url | https://doi.org/10.1038/s41598-023-45387-7 |
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