Phone-Based Walk With Ease for Libman-Sacks Disease

Phase-Based Progress Estimates
1
Effectiveness
1
Safety
Libman-Sacks Disease+5 More
Phone-Based Walk With Ease - Behavioral
Eligibility
18+
All Sexes
What conditions do you have?
Select

Study Summary

This trial looks at the effects of a phone-based walking intervention.

Eligible Conditions
  • Libman-Sacks Disease
  • Gout
  • Arthrosis
  • Arthritis
  • Rheumatoid Arthritis
  • Fibromyalgia

Treatment Effectiveness

Effectiveness Progress

1 of 3

Study Objectives

3 Primary · 4 Secondary · Reporting Duration: Baseline to 12 months

Baseline to 12 months
Change in Physical Limitations
Change in arthritis management self-efficacy
Change in blood pressure
Change in pain
Change in physical activity
Change in physical function - 6 minute walk
Change in physical function - chair stands

Trial Safety

Safety Progress

1 of 3

Trial Design

1 Treatment Group

Phone-Based Walk With Ease Program
1 of 1

Experimental Treatment

300 Total Participants · 1 Treatment Group

Primary Treatment: Phone-Based Walk With Ease · No Placebo Group · N/A

Phone-Based Walk With Ease Program
Behavioral
Experimental Group · 1 Intervention: Phone-Based Walk With Ease · Intervention Types: Behavioral

Trial Logistics

Trial Timeline

Screening: ~3 weeks
Treatment: Varies
Reporting: baseline to 12 months

Who is running the clinical trial?

University of South CarolinaLead Sponsor
173 Previous Clinical Trials
92,717 Total Patients Enrolled
Centers for Disease Control and PreventionFED
820 Previous Clinical Trials
21,543,660 Total Patients Enrolled

Eligibility Criteria

Age 18+ · All Participants · 5 Total Inclusion Criteria

Mark “Yes” if the following statements are true for you:
You have some form of arthritis, rheumatoid arthritis, gout, lupus, fibromyalgia.

About The Reviewer

Michael Gill preview

Michael Gill - B. Sc.

First Published: October 20th, 2021

Last Reviewed: November 19th, 2022

Michael Gill holds a Bachelors of Science in Integrated Science and Mathematics from McMaster University. During his degree he devoted considerable time modeling the pharmacodynamics of promising drug candidates. Since then, he has leveraged this knowledge of the investigational new drug ecosystem to help his father navigate clinical trials for multiple myeloma, an experience which prompted him to co-found Power Life Sciences: a company that helps patients access randomized controlled trials.

Who else is applying?

What state do they live in?
South Carolina50.0%
Colorado50.0%
How old are they?
18 - 65100.0%
What portion of applicants met pre-screening criteria?
Did not meet criteria100.0%