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Wearable activity tracker study exploring rheumatoid arthritis patients' disease activity using patient-reported outcome measures, clinical measures, and biometric sensor data (the wear study).
Stradford, Laura; Curtis, Jeffrey R; Zueger, Patrick; Xie, Fenglong; Curtis, David; Gavigan, Kelly; Clinton, Cassie; Venkatachalam, Shilpa; Rivera, Esteban; Nowell, W Benjamin.
Afiliação
  • Stradford L; Global Healthy Living Foundation, Upper Nyack, NY, USA.
  • Curtis JR; University of Alabama at Birmingham, Birmingham, AL, USA.
  • Zueger P; Illumination Health, Hoover, AL, USA.
  • Xie F; AbbVie, Chicago, IL, USA.
  • Curtis D; Illumination Health, Hoover, AL, USA.
  • Gavigan K; Global Healthy Living Foundation, Upper Nyack, NY, USA.
  • Clinton C; Global Healthy Living Foundation, Upper Nyack, NY, USA.
  • Venkatachalam S; University of Alabama at Birmingham, Birmingham, AL, USA.
  • Rivera E; Global Healthy Living Foundation, Upper Nyack, NY, USA.
  • Nowell WB; Global Healthy Living Foundation, Upper Nyack, NY, USA.
Contemp Clin Trials Commun ; 38: 101272, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38444876
ABSTRACT

Background:

Digital health studies using electronic patient reported outcomes (ePROs), wearables, and clinical data to provide a more comprehensive picture of patient health.

Methods:

Newly initiated patients on upadacitinib or adalimumab for RA will be recruited from community settings in the Excellence NEtwork in RheumatoloGY (ENRGY) practice-based research network. Over the period of three to six months, three streams of data will be collected (1) linkable physician-derived data; (2) self-reported daily and weekly ePROs through the ArthritisPower registry app; and (3) biometric sensor data passively collected via wearable. These data will be analyzed to evaluate correlations among the three types of data and patient improvement on the newly initiated medication.

Conclusions:

Results from this study will provide valuable information regarding the relationships between physician data, wearable data, and ePROs in patients newly initiating an RA treatment, and demonstrate the feasibility of digital data capture for Remote Patient Monitoring of patients with rheumatic disease.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article