Patient education for people with multiple sclerosis-associated fatigue: A systematic review
Bibliographic record
Abstract
BACKGROUND: Multiple Sclerosis (MS) is an inflammatory and neurodegenerative disease often causing decreased quality of life, social withdrawal and unemployment. Studies examining the effect of pharmacological interventions demonstrated only minor effects, whereas non-pharmacological interventions as e.g. patient education programs have shown promising results. OBJECTIVE: We aim to systematically review the literature to determine the effect of patient education programs on fatigue in MS. METHODS: We conducted a comprehensive search in PubMed for randomized controlled trials (RCTs) that evaluated patient education programs for MS-related fatigue. Interventions evaluating physical exercise and/or pharmacological treatments were not included. Meta-analyses were performed using the generic inverse variance method. RESULTS: The search identified 856 citations. After full-text screening we identified ten trials that met the inclusion criteria. Data of 1021 participants were analyzed. Meta-analyses showed significant positive effects on fatigue severity (weighted mean difference -0.43; 95% CI -0.74 to -0.11) and fatigue impact (-0.48; -0.82 to -0.15), but not for depression (-0.35 (95% CI -0.75 to 0.05; p = 0.08). Essentially, we categorized patient education programs into two types: firstly, interventions with a focus on cognitive-behavioral therapy (CBT) and secondly, interventions that teach patients ways of managing daily fatigue. CBT-based approaches seem to generate better results in reducing patient-reported fatigue severity. Analysing CBT studies only, the pooled weighted mean difference for fatigue severity was -0.60 (95% CI; -1.08 to -0.11) compared to non-CBT approaches (-0.20; 95% CI; -0.60 to -0.19). Furthermore, interventions employing an individual approach seem to reduce fatigue more effectively than group-based approaches (pooled weighted mean difference for fatigue severity in face-to-face studies was -0.80 (95% CI; -1.13 to -0.47) compared to group-based studies with -0,17 (95% CI; -0,39 to 0,05). Longest follow-up data were available for 12 months post-intervention. CONCLUSION: Overall, included studies demonstrated that educational programs and especially CBT-based approaches have a positive effect on reducing fatigue. Since fatigue is thought to be a multidimensional symptom, it should be treated with a multidimensional approach targeting patients' behavior as well as their emotional and mental attitude towards fatigue. However, the clinical relevance of the treatment effects i.e. the relevance for patients' daily functioning remains unclear and long-term effects, i.e. sustainability of effects beyond 6 months, warrants further work. This review has been registered in the PROSPERO international prospective register of systematic reviews data base (Registration number: CRD42014014224).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".