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This prospective case series will use mixed methods to examine the feasibility, acceptability, and initial effects of three telehealth cognitive behavioral therapy components (relaxation training, behavioral activation, cognitive therapy) for fatigue in people with multiple sclerosis.
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Fatigue affects 80% of people with multiple sclerosis (PwMS), and nearly half report fatigue as their most disabling symptom. The cognitive behavioral model of MS fatigue theorizes that MS disease factors trigger fatigue, but fatigue is maintained or worsened by factors like daily stress and how PwMS react cognitively, behaviorally, physiologically, and emotionally to fatigue. In-person and telehealth cognitive behavioral therapy (CBT) for fatigue targets these factors and reactions and is one of the most effective treatments for MS fatigue. However, CBT is resource intensive, as it consists of multiple components (i.e., relaxation training, behavioral activation, cognitive therapy), requiring 8-16 hour-long sessions delivered by a specialized clinician. CBT has yet to be assessed via an integrated translational model that considers all stages, from intervention development to implementation. Thus, the active components of CBT for MS fatigue and their mechanisms are unclear and, despite the significant burden of MS fatigue, CBT for fatigue is not widely accessible due to various implementation barriers.
The proposed prospective case series is the first of two project aims. The overall project aims to optimize CBT for fatigue to maximize efficacy and efficiency. It will use the Multiphase Optimization Strategy to advance scientific evidence on CBT's active components and facilitate implementation, thereby improving accessibility. The proposed prospective case series (Aim 1) will:
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21 participants in 3 patient groups
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Laurie Kavanagh, MPH
Data sourced from clinicaltrials.gov
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