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Exploring social moderators of telehealth treatment outcomes for adults with multiple sclerosis: A secondary analysis of a randomized controlled trial.

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Development and pilot testing of a web-based symptom management program for multiple sclerosis: My MS toolkit.

Anna L Kratz1, Kevin N Alschuler2, David A Williams3

  • 1Department of Physical Medicine and Rehabilitation, University of Michigan.

Rehabilitation Psychology
|February 4, 2021
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Summary

A new web-based program, My MS Toolkit, was developed for multiple sclerosis (MS) symptom self-management. Pilot results show clinically significant improvements in fatigue, pain, and depressive symptoms for a proportion of users.

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Area of Science:

  • Neurology
  • Rehabilitation Medicine
  • Digital Health

Background:

  • Multiple sclerosis (MS) often involves chronic pain, fatigue, and depressive symptoms.
  • Effective self-management strategies are crucial for improving quality of life in individuals with MS.

Purpose of the Study:

  • To develop and pilot test a web-based multisymptom self-management program for adults with MS.
  • To assess the feasibility and effects of the 'My MS Toolkit' program on pain, fatigue, and depressive symptoms.

Main Methods:

  • Stakeholder-informed development of a web-based program addressing MS symptoms.
  • A 12-week single-arm pilot trial involving 20 adults with MS and elevated symptom levels.
  • Unguided website usage with outcome measures for symptoms and quality of life.

Main Results:

  • Participants accessed the 'My MS Toolkit' website an average of 5.4 times.
  • 80% reported moderate improvements in activity limitations, symptoms, emotions, and quality of life.
  • Clinically significant improvements were observed in 37.5% for fatigue, 45.5% for pain, and 40% for depressive symptoms.

Conclusions:

  • 'My MS Toolkit' is an accessible, stakeholder-developed digital tool for MS symptom self-management.
  • The program shows potential for clinically significant symptom improvement in a subset of users.
  • Further research is needed to optimize the program and identify user subgroups who benefit most.