Results 291 to 300 of about 5,779,825 (391)

Association Between Sleep Disturbance and Subsequent Pain Interference in Patients With Early Rheumatoid Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective This study investigated whether sleep disturbance can predict the extent to which pain interferes with daily functioning in patients with early rheumatoid arthritis (RA). Methods Data were from adults with early RA (joint symptoms ≤12 months) enrolled in the Canadian Early Arthritis Cohort between 2016 and 2023.
Burcu Aydemir   +16 more
wiley   +1 more source

Good Governance in the Era of Global Neoliberalism

open access: bronze, 2004
Jolle Demmers   +2 more
openalex   +2 more sources

Screening for Social Determinants of Health in Patients with Systemic Lupus Erythematosus: A Point‐of‐Care Feasibility Study

open access: yesArthritis Care &Research, Accepted Article.
Objectives Social determinants of health (SDoH) can impact outcomes but are not routinely screened for in US outpatient rheumatology clinics. This study determined the feasibility of routine point‐of‐care SDoH screening among patients with systemic lupus erythematosus (SLE), and associated barriers and facilitators at the physician, care team, and ...
S. Sam Lim   +11 more
wiley   +1 more source

Agreement of administrative pharmacy dispensing with self‐reported use of oral prednisone in US Veterans with rheumatoid arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objective Administrative claims are used to evaluate oral glucocorticoid use in rheumatoid arthritis (RA), despite limited evidence to support accuracy. We aimed to evaluate the performance of claims‐based algorithms for glucocorticoid use compared to self‐report in an RA population.
Beth I. Wallace   +16 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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