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Multiple Sclerosis Fatigue Self-Management: Strategies and Influencing Factors 5 Years After a Multimodal
ShienPei C Silverman1, Bishan Yang2, Felicia Mata-Greve2
1From the Research Department, Veterans Affairs Portland Health Care System, Portland, OR.
People with multiple sclerosis (MS) often use planning and prioritizing to manage fatigue. Internal motivation and low-cost strategies are key to successful self-management long-term.
Area of Science:
- Neurology
- Rehabilitation Science
Background:
- The Fatigue: Take Control (FTC) program is a multimodal self-management intervention for multiple sclerosis (MS).
- Previous trials demonstrated FTC's efficacy in improving MS-related fatigue.
- This study investigates long-term (5-year) fatigue management strategies in MS patients.
Purpose of the Study:
- To identify fatigue management strategies utilized by MS patients 5 years post-enrollment in the FTC program.
- To determine facilitators and barriers to employing these fatigue management strategies.
- To explore the relationship between specific strategies and long-term fatigue outcomes.
Main Methods:
- Cross-sectional survey design utilizing data from original FTC clinical trial participants.
- Administered the Modified Fatigue Impact Scale and a 17-item questionnaire on fatigue management strategies.
- Analyzed quantitative and qualitative data using descriptive statistics and content analysis, framed by the COM-B model.
Main Results:
- The most frequently reported strategies were planning daily activities and prioritizing tasks.
- Facilitators included access to assistive devices, support systems (paid help, companions), and positive attitude.
- Barriers comprised high costs, co-existing health conditions, and temperature sensitivity.
Conclusions:
- Future research should prioritize promoting accessible, low-cost fatigue management strategies for MS.
- Internal factors, such as motivation, significantly influence the adoption of self-management strategies.
- Further clinical trials with larger samples are recommended to validate the COM-B model in MS fatigue management.
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