Managing Fatigue with Technology for Individuals with Multiple Sclerosis
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to investigate whether a mobile health application (mHealth app) will result in a decrease in fatigue and an increase in adherence to energy conservation techniques for adults with multiple sclerosis (MS). METHOD: Using a quantitative, exploratory, pretest and post-test design, we examined the use of the mHealth app, Pace My Day (PMD), by seven participants during one chosen task while incorporating energy conservation strategies for two weeks. Main outcome measures included Modified Fatigue Impact Scale (MFIS) and Canadian Occupational Performance Measure (COPM). RESULTS: There was a significant decrease in the MFIS scores indicating a decrease in fatigue over the two-week period t(6)=5.75, p=0.001. CONCLUSION: Use of mHealth apps and energy conservation strategies were found to significantly reduce levels of fatigue and increase self-perceived performance and satisfaction of task execution.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".