Understanding and living with multiple sclerosis fatigue
Bibliographic record
Abstract
Introduction Fatigue substantially affects the lives of many people with multiple sclerosis. This study aimed to further our understanding of the experience of living with multiple sclerosis fatigue by exploring how people became aware of and understood their multiple sclerosis fatigue and how they accommodate it in their daily lives. Method The study used an existential approach to thematic analysis. Thirteen in-depth, semi-structured interviews with people who experienced multiple sclerosis fatigue were conducted and analysed. Results Participants developed an understanding of multiple sclerosis fatigue through gaining awareness of its effect on their lives, seeking information themselves and being informed by health professionals. Participants described how they began to understand the effect of fatigue in their lives and make decisions about how to accommodate it. They discussed the challenges associated with helping others to understand their multiple sclerosis fatigue. Conclusion Lay and expert explanations, the phenomenological notions of lived experience, self-identity and embodiment and stigma associated with invisible disability were useful concepts for understanding the results. Clinicians should consider these concepts when supporting people with multiple sclerosis fatigue to understand the effect of fatigue in their daily lives and use fatigue management strategies to make effective lifestyle changes to accommodate it.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".