Cargando…

Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Using Biosensor and Patient-Reported Outcome Data: Protocol for a Real-World Study

BACKGROUND: Rheumatoid arthritis (RA) is a condition with symptoms that vary over time. The typical 3- to 6-month interval between physician visits may lead to patients failing to recall or underreporting symptoms experienced during the interim. Wearable digital technology enables the regular passiv...

Descripción completa

Detalles Bibliográficos
Autores principales: Nowell, William Benjamin, Curtis, Jeffrey R, Nolot, Sandra K, Curtis, David, Venkatachalam, Shilpa, Owensby, Justin K, Poon, Jiat Ling, Calvin, Amy B, Kannowski, Carol L, Faries, Douglas E, Gavigan, Kelly, Haynes, Virginia S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788333/
https://www.ncbi.nlm.nih.gov/pubmed/31573949
http://dx.doi.org/10.2196/14665
_version_ 1783458465275969536
author Nowell, William Benjamin
Curtis, Jeffrey R
Nolot, Sandra K
Curtis, David
Venkatachalam, Shilpa
Owensby, Justin K
Poon, Jiat Ling
Calvin, Amy B
Kannowski, Carol L
Faries, Douglas E
Gavigan, Kelly
Haynes, Virginia S
author_facet Nowell, William Benjamin
Curtis, Jeffrey R
Nolot, Sandra K
Curtis, David
Venkatachalam, Shilpa
Owensby, Justin K
Poon, Jiat Ling
Calvin, Amy B
Kannowski, Carol L
Faries, Douglas E
Gavigan, Kelly
Haynes, Virginia S
author_sort Nowell, William Benjamin
collection PubMed
description BACKGROUND: Rheumatoid arthritis (RA) is a condition with symptoms that vary over time. The typical 3- to 6-month interval between physician visits may lead to patients failing to recall or underreporting symptoms experienced during the interim. Wearable digital technology enables the regular passive collection of patients’ biometric and activity data. If it is shown to be strongly related to data captured by patient-reported outcome (PRO) measures, information collected passively from wearable digital technology could serve as an objective proxy or be complementary to patients’ subjective experience of RA symptoms. OBJECTIVE: The goal of this study is to characterize the extent to which digital measures collected from a consumer-grade smartwatch agree with measures of RA disease activity and other PROs collected via a smartphone app. METHODS: This observational study will last 6 months for each participant. We aim to recruit 250 members of the ArthritisPower registry with an RA diagnosis who will receive a smartwatch to wear for the period of the study. From the ArthritisPower mobile app on their own smartphone device, participants will be prompted to answer daily and weekly electronic PRO (ePRO) measures for the first 3 months. RESULTS: The study was launched in December 2018 and will require up to 18 months to complete. Study results are expected to be published by the end of 2021. CONCLUSIONS: The completion of this study will provide important data regarding the following: (1) the relationship between passively collected digital measures related to activity, heart rate, and sleep collected from a smartwatch with ePROs related to pain, fatigue, physical function, and RA flare entered via smartphone app; (2) determine predictors of adherence with smartwatch and smartphone app technology; and (3) assess the effect of study-specific reminders on adherence with the smartwatch. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/14665
format Online
Article
Text
id pubmed-6788333
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-67883332019-10-31 Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Using Biosensor and Patient-Reported Outcome Data: Protocol for a Real-World Study Nowell, William Benjamin Curtis, Jeffrey R Nolot, Sandra K Curtis, David Venkatachalam, Shilpa Owensby, Justin K Poon, Jiat Ling Calvin, Amy B Kannowski, Carol L Faries, Douglas E Gavigan, Kelly Haynes, Virginia S JMIR Res Protoc Protocol BACKGROUND: Rheumatoid arthritis (RA) is a condition with symptoms that vary over time. The typical 3- to 6-month interval between physician visits may lead to patients failing to recall or underreporting symptoms experienced during the interim. Wearable digital technology enables the regular passive collection of patients’ biometric and activity data. If it is shown to be strongly related to data captured by patient-reported outcome (PRO) measures, information collected passively from wearable digital technology could serve as an objective proxy or be complementary to patients’ subjective experience of RA symptoms. OBJECTIVE: The goal of this study is to characterize the extent to which digital measures collected from a consumer-grade smartwatch agree with measures of RA disease activity and other PROs collected via a smartphone app. METHODS: This observational study will last 6 months for each participant. We aim to recruit 250 members of the ArthritisPower registry with an RA diagnosis who will receive a smartwatch to wear for the period of the study. From the ArthritisPower mobile app on their own smartphone device, participants will be prompted to answer daily and weekly electronic PRO (ePRO) measures for the first 3 months. RESULTS: The study was launched in December 2018 and will require up to 18 months to complete. Study results are expected to be published by the end of 2021. CONCLUSIONS: The completion of this study will provide important data regarding the following: (1) the relationship between passively collected digital measures related to activity, heart rate, and sleep collected from a smartwatch with ePROs related to pain, fatigue, physical function, and RA flare entered via smartphone app; (2) determine predictors of adherence with smartwatch and smartphone app technology; and (3) assess the effect of study-specific reminders on adherence with the smartwatch. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/14665 JMIR Publications 2019-09-26 /pmc/articles/PMC6788333/ /pubmed/31573949 http://dx.doi.org/10.2196/14665 Text en ©William Benjamin Nowell, Jeffrey R Curtis, Sandra K Nolot, David Curtis, Shilpa Venkatachalam, Justin K Owensby, Jiat Ling Poon, Amy B Calvin, Carol L Kannowski, Douglas E Faries, Kelly Gavigan, Virginia S Haynes. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 26.09.2019 https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Nowell, William Benjamin
Curtis, Jeffrey R
Nolot, Sandra K
Curtis, David
Venkatachalam, Shilpa
Owensby, Justin K
Poon, Jiat Ling
Calvin, Amy B
Kannowski, Carol L
Faries, Douglas E
Gavigan, Kelly
Haynes, Virginia S
Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Using Biosensor and Patient-Reported Outcome Data: Protocol for a Real-World Study
title Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Using Biosensor and Patient-Reported Outcome Data: Protocol for a Real-World Study
title_full Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Using Biosensor and Patient-Reported Outcome Data: Protocol for a Real-World Study
title_fullStr Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Using Biosensor and Patient-Reported Outcome Data: Protocol for a Real-World Study
title_full_unstemmed Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Using Biosensor and Patient-Reported Outcome Data: Protocol for a Real-World Study
title_short Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Using Biosensor and Patient-Reported Outcome Data: Protocol for a Real-World Study
title_sort digital tracking of rheumatoid arthritis longitudinally (digital) using biosensor and patient-reported outcome data: protocol for a real-world study
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788333/
https://www.ncbi.nlm.nih.gov/pubmed/31573949
http://dx.doi.org/10.2196/14665
work_keys_str_mv AT nowellwilliambenjamin digitaltrackingofrheumatoidarthritislongitudinallydigitalusingbiosensorandpatientreportedoutcomedataprotocolforarealworldstudy
AT curtisjeffreyr digitaltrackingofrheumatoidarthritislongitudinallydigitalusingbiosensorandpatientreportedoutcomedataprotocolforarealworldstudy
AT nolotsandrak digitaltrackingofrheumatoidarthritislongitudinallydigitalusingbiosensorandpatientreportedoutcomedataprotocolforarealworldstudy
AT curtisdavid digitaltrackingofrheumatoidarthritislongitudinallydigitalusingbiosensorandpatientreportedoutcomedataprotocolforarealworldstudy
AT venkatachalamshilpa digitaltrackingofrheumatoidarthritislongitudinallydigitalusingbiosensorandpatientreportedoutcomedataprotocolforarealworldstudy
AT owensbyjustink digitaltrackingofrheumatoidarthritislongitudinallydigitalusingbiosensorandpatientreportedoutcomedataprotocolforarealworldstudy
AT poonjiatling digitaltrackingofrheumatoidarthritislongitudinallydigitalusingbiosensorandpatientreportedoutcomedataprotocolforarealworldstudy
AT calvinamyb digitaltrackingofrheumatoidarthritislongitudinallydigitalusingbiosensorandpatientreportedoutcomedataprotocolforarealworldstudy
AT kannowskicaroll digitaltrackingofrheumatoidarthritislongitudinallydigitalusingbiosensorandpatientreportedoutcomedataprotocolforarealworldstudy
AT fariesdouglase digitaltrackingofrheumatoidarthritislongitudinallydigitalusingbiosensorandpatientreportedoutcomedataprotocolforarealworldstudy
AT gavigankelly digitaltrackingofrheumatoidarthritislongitudinallydigitalusingbiosensorandpatientreportedoutcomedataprotocolforarealworldstudy
AT haynesvirginias digitaltrackingofrheumatoidarthritislongitudinallydigitalusingbiosensorandpatientreportedoutcomedataprotocolforarealworldstudy