Gout Clinical Trial
Official title:
Novel Methods for Ascertainment of Gout Flares -A Pilot Study
The purpose of this study is to determine the feasibility and acceptability of using
different remote data collection technologies to ascertain flare occurrence among gout
patients. Two technologies will be the focus of this study: a telephone based interactive
voice response (IVR) and a smartphone mobile application (called RheumPRO). The results of
this study will not only guide research approaches in clinical trials, but may also have
direct implications for monitoring patient outcomes in the context of day-to-day clinical
practice.
The investigators hypothesize that acceptability will be greater for RheumPRO application
than IVR. Additionally, the investigators hypothesize that RheumPRO will be associated with a
greater frequency of patient-initiated interactions.
Acute gout flares are a major cause of morbidity. Flares lead to substantial reductions in
health-related quality of life, increased work absenteeism, productivity loss, and
substantial healthcare costs. Acute gout flares are likely related to more than 174,000
emergency department visits in the U.S. annually with corresponding charges approaching $166
million.
In recent surveys, gout patients and healthcare providers alike identified the reduction of
gout flares as the highest priority outcome that should be examined in future comparative
effectiveness studies of urate lowering therapy (ULT) (unpublished results). Despite
consensus about the importance of capturing flares, clinical trials investigating ULTs or
anti-inflammatory prophylaxis have used inconsistent flare definitions and methods of flare
ascertainment. The inconsistency has likely been driven by the absence of a standardized
definition or ascertainment method. These deficits limit comparisons that can be made across
investigations.
Recently, a group supported by the American College of Rheumatology & European League Against
Rheumatism (ACR & EULAR) has attempted to define a gout flare (8-10). For simplicity, the
group focused on defining only those flares occurring after a definitive gout diagnosis. Nine
elements of a flare definition emerged from the first two studies. These nine elements
included physician reported information, laboratory data and patient self-report. In a third
study, Gaffo et al. compared the discriminatory ability of the self-reported items against
the gold standard of a rheumatologist's judgment of flare presence. Self-report of 4 criteria
had the greatest discriminatory ability with an area under the curve (AUC) of 0.931. These
promising results indicate the important role for a standardized self-report definition of a
gout flare.
In addition to variability in gout flare definitions, the optimal method for obtaining
self-reported flares remains undefined. An early study of febuxostat, for example, assessed
flares weekly at physician visits Another study counted a flare only when it was treated by a
healthcare provider. Still other studies assessed flares during physician visits occurring at
variable time points. These inconsistent methods also pose practical limitations given by
their time and resource intensive nature. Opportunities to increase efficiency have only
recently become available with the validation of the self-reported definition for gout flares
described above. Self-report can now be combined with technological advances in remote data
collection to develop novel and highly efficient methods to identify gout flares. The
investigators propose a study to address this pressing need by leveraging technological
advances that facilitate the remote and real-time collection of patient reported flares and
outcomes (PROs) in gout.
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