Managing Fatigue with Technology for Individuals with Multiple Sclerosis

<p><strong>OBJECTIVE: </strong>The purpose of this study was to investigate whether the use of a mobile health application (mHealth app) in conjunction with energy conservation management techniques will result in a decrease in fatigue for adults with multiple sclerosis.</p> <p><strong>METHOD: </strong>Using a quantitative, exploratory, pre-posttest design, we examined outcomes associated with the use of the mHealth app, Pace My Day, by seven participants during one chosen task over two weeks. The app reinforced the use of energy conservation management techniques during the chosen task. Outcome measures included Modified Fatigue Impact Scale (MFIS) and Canadian Occupational Performance Measure (COPM).</p> <p><strong>RESULTS: </strong>There was a significant decrease in the MFIS scores indicating a decrease in fatigue over the two-week period t (6) =5.75<em>, p</em>=0.001. Additionally, there was a significant increase in satisfaction with performance of the chosen task as measured by the COPM over the two-week period t (6) =-3.359, <em>p</em>=0.015.</p> <p><strong>CONCLUSION: </strong>The use of a mHealth app to support energy conservation management education was found to significantly reduce levels of fatigue and increase self-perceived performance and satisfaction with task execution.</p>

Name thesis:degree_name

Master of Science in Occupational Therapy

Level thesis:degree_level

Master's Thesis

Discipline thesis:degree_discipline

Occupational Therapy

Year dc:date.available

2018

Authors dc:creator

• Grant, Janie
• Gamueda, May Anne
• Ortega, America
• Song, Jordan

Contributors dc:contributor

• Susan Morris, PhD, OTR/L
• Kitsum Li, OTD, OTR/L, CSRS

• Multiple Sclerosis
• Fatigue
• MS
• Technology
• Assistive Technology
• Energy Conservation
• mHealth
• Mobile Health Applications
• Occupational Therapy
• Other Rehabilitation and Therapy

Repository record dc:identifier

https://scholar.dominican.edu/masters-theses/294

OAI identifier oai:identifier

oai:scholar.dominican.edu:masters-theses-1300