Feasibility of the Individual Managing Fatigue Program for People Living With Parkinson’s Disease

Feasibility of the Individual Managing Fatigue Program for People Living With Parkinson’s Disease

Publication date: Feb 12, 2020

This pilot study aims to evaluate the feasibility of the Individual Managing Fatigue Program in people with Parkinson’s disease. The Managing Fatigue Program, a six-week, self-management energy conservation course, focuses on strategies that help people with fatigue to make changes to save and use their energy to accomplish their daily activities. Several studies have adapted and evaluated different delivery formats of the Managing Fatigue Program in conditions similar to Parkinson’s disease demonstrating that the Managing Fatigue Program is effective in reducing fatigue, depression, sleep problems, and improving quality of life, participation and self-efficacy. However, the Managing Fatigue Program is yet to be evaluated in people with Parkinson’s disease. This feasibility study, using a mixed-methods approach, nested in a pilot randomized control design, will evaluate the feasibility of the Individual Managing Fatigue Program from the perspectives of people with Parkinson’s disease, and prepare for a full-scale randomized controlled trial (RCT). This study will collect qualitative and quantitative data using feasibility, standard outcome measures, and group discussions. Using multiple recruitment strategies, 50 participants will be recruited and will be randomly assigned to two groups; n=25 in each of the experiment and control groups. The study outcome measures will be administered at three times during the study; pre-test, post-test, and a three-month follow up. The results of this study will determine whether it is feasible to do a full-scale RCT in the future. If the known beneficial effects of the Managing Fatigue program extend to the PD population, this research will be the evidence needed to support the integration of this novel solution into the care of people with PD.

Concepts Keywords
Aim Randomized controlled trial
Algorithm Sleep disorder
Canada Focus group
Cancer Usability
Cognitive Deficit Technical communication
Confidentiality Information architecture
Dalhousie Human–computer interaction
Demographic Knowledge
Depression Articles
Descriptive Statistics Research
Disability Fatigue IMFP
Energy Self management
Energy Conservation Fatigue depression
Facebook Parkinson s disease
Fatigue Duration fatigue
Focus Groups Experimental
Gender Protocol algorithm tools
Halifax Regional Municipality Office social media
Heart Failure Disease fatigue
Hertzog
Informed Consent
Logistics
Medians
MFI
Missing
Missing Data
Morbidity
Neurological
Occupational Therapists
Outliers
Parkinson
Postural Instability
Protocol
Randomized Controlled Trial
Sleep
Social Media
Standard Deviation
STATA
Stata
Twitter
Type 1 Error
Usability
Windows

Semantics

Type Source Name
disease MESH Parkinson Disease
pathway KEGG Parkinson disease
disease MESH cancer
disease MESH heart failure
disease MESH sleep
disease MESH depression

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