ClinicalTrials.Veeva

Menu

Tailored Treatments of Fibromyalgia

University of Washington logo

University of Washington

Status and phase

Completed
Phase 3
Phase 2

Conditions

Fibromyalgia

Treatments

Behavioral: Cognitive-behavioral psychotherapy and physical exercise

Study type

Interventional

Funder types

Other

Identifiers

NCT00000422
R01AR044724 (U.S. NIH Grant/Contract)
14866-D
NIAMS-036

Details and patient eligibility

About

This study will evaluate the effects of matching treatments to people with fibromyalgia syndrome (FMS) on the basis of their psychosocial and behavioral characteristics. We will look at how patients respond to a rehabilitation program that includes physical therapy and information about fibromyalgia. We will combine this program with psychological treatments that are either matched or mismatched to the way patients cope with and adapt to symptoms of FMS. The second aim of our study is to better understand how different FMS symptoms may vary together and how these symptoms change as a result of treatment in a person's natural environment. People with FMS and healthy people of the same ages will record their moods, thoughts, symptoms, activities, and fatigue levels three times a day for 2 weeks. Participants will use palm-top computers to record these "real-time" assessments. This approach will permit people to rate how they feel at a particular time rather than looking back in time.

Full description

Fibromyalgia syndrome (FMS) is a prevalent, chronic musculoskeletal pain disorder. Despite extensive study, researchers do not understand well the etiology and pathophysiologic mechanisms of FMS, and have not shown any treatment to be universally effective. We propose that FMS is a complex disorder involving multiple factors, both physical and psychosocial-behavioral.

In our previous research, we demonstrated that FMS patients are heterogeneous in the psychosocial-behavioral axis and can be classified into three distinct subgroups on the basis of their psychosocial adaptation to symptoms. In this study we will extend our previous research and attempt to match treatments to patients' psychosocial-behavioral characteristics. Specifically, we will test the efficacy of uniquely tailored treatment for each psychosocial subgroup.

We will treat three groups of FMS patients with one of three treatment protocols involving standard physical therapy and varying psychological treatments. A total of 312 FMS patients will undergo six half-day interdisciplinary treatment sessions consisting of psychological treatments and physical therapy emphasizing aerobic conditioning, pacing, and body mechanics. All protocols include a standardized physical therapy and either cognitive-behavioral pain management therapy, interpersonal skill training, or supportive counseling.

In addition to the treatment outcome study, we will prospectively assess various symptoms of FMS in the patients' natural habitats to better understand covariations of FMS symptoms. Patients will do repeated daily monitoring using a palm-top computer (ecological momentary assessment), which will permit us to evaluate process ratings compared to retrospective reports.

Overall, the results of these studies should establish the benefit of matching treatments to patient characteristics and enhance our understanding of the roles of cognitive-affective-behavioral adaptation by people with FMS.

Sex

Female

Ages

21 to 65 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Female
  • Able to visit Seattle based clinic 9 times
  • Meet ACR criteria for FMS

Exclusion criteria

  • Pregnancy
  • Exercise contraindicated by physician due to other medical conditions
  • Significant psychopathology
  • Do not meet FMS criteria
  • Cardiac problems

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Single Group Assignment

Masking

Single Blind

Trial contacts and locations

1

Loading...

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2024 Veeva Systems