Randomised controlled trial of a self-guided online fatigue intervention in multiple sclerosis.

OBJECTIVE: Fatigue is a major disabling symptom in many chronic diseases including multiple sclerosis (MS), but treatment options are limited.Here, we tested the effectiveness of a self-guided , interactive, online fatigue management programme (ELEVIDA) based on principles of cognitive behavioural therapy (CBT) and related psychotherapeutic approaches (eg, mindfulness) for reducing fatigue in MS. METHODS: Patients with MS and self-reported fatigue were recruited via the website of the German MS Society and assigned via an automated randomisation generator (1:1, no blocking or stratification) to a 12-week online intervention (ELEVIDA, n=139, 82% female, mean age 40.8, median patient determined disease steps (PDDS) 3.0) or a waitlist control group (n=136, 79% female, mean age 41.9, median PDDS 3.0). The primary outcome was the Chalder Fatigue Scale. Outcomes were assessed at baseline, at week 12 (postintervention) and at follow-up (week 24). RESULTS: Compared with the control group, significantly greater reductions in Chalder Fatigue Scale scores were seen in the ELEVIDA group at week 12 (primary endpoint, intention-to-treat analysis: between-group mean difference 2.74 points; 95% CI 1.16 to 4.32; p=0.0007; effect size d=0.53), with effects sustained at week 24 (intention-to-treat analysis: between-group mean difference 2.19 points; 95% CI 0.57 to 3.82; p=0.0080). CONCLUSIONS: Our trial provides evidence for the effectiveness of a self-guided , internet-based intervention to reduce fatigue in MS. Interventions such as ELEVIDA may be a suitable low barrier, cost-effective treatment option for MS fatigue. TRIAL REGISTRATION NUMBER: ISRCTN registry (number ISRCTN25692173).

Development and Feasibility of an Evidence-Based Patient Education Program for Managing Fatigue in Multiple Sclerosis: The "Fatigue Management in MS" Program (FatiMa).

BACKGROUND: Multiple sclerosis (MS) is an inflammatory and neurodegenerative disease of the central nervous system. Fatigue is a common and disabling symptom, often causing decreased quality of life, social withdrawal, and unemployment. We developed and studied the feasibility of a cognitive-behavioral group intervention to manage fatigue in MS. We aimed to integrate the concepts of cognitive-behavioral therapy and evidence-based patient information. METHODS: We conducted patient interviews and a focus group to assess patients' interest in and need for fatigue self-management training and developed the program accordingly. The program consists of six 90-minute modules, which were structured with the use of moderation cards, helping to guarantee treatment fidelity. The program was tested on three pilot groups (N = 16) in a rehabilitation center. Fatigue, depression, and coping self-efficacy were assessed at baseline and after the intervention. Acceptance and general satisfaction with the program were also evaluated. RESULTS: Patient interviews elicited different characteristics of fatigue, suggesting that patients had different requirements. The program was very acceptable to patients. Pre-post assessments of the pilot study showed significantly improved scores on the Coping Self-Efficacy Scale (P = .013) but not on the Fatigue Scale for Motor and Cognitive Functions and the 30-item Inventory of Depressive Symptomatology. CONCLUSIONS: These preliminary results suggest that this program is a feasible cognitive-behavioral group training program that may improve coping self-efficacy and has the potential to subsequently reduce fatigue. The next step is evaluation of the program in a randomized controlled trial.

Suitability of the HAM-Nat test and TMS module "basic medical-scientific understanding" for medical school selection.

AIMS: Tests with natural-scientific content are predictive of the success in the first semesters of medical studies. Some universities in the German speaking countries use the 'Test for medical studies' (TMS) for student selection. One of its test modules, namely "medical and scientific comprehension", measures the ability for deductive reasoning. In contrast, the Hamburg Assessment Test for Medicine, Natural Sciences (HAM-Nat) evaluates knowledge in natural sciences. In this study the predictive power of the HAM-Nat test will be compared to that of the NatDenk test, which is similar to the TMS module "medical and scientific comprehension" in content and structure. METHODS: 162 medical school beginners volunteered to complete either the HAM-Nat (N=77) or the NatDenk test (N=85) in 2007. Until spring 2011, 84.2% of these successfully completed the first part of the medical state examination in Hamburg. Via different logistic regression models we tested the predictive power of high school grade point average (GPA or "Abiturnote") and the test results (HAM-Nat and NatDenk) with regard to the study success criterion "first part of the medical state examination passed successfully up to the end of the 7(th) semester" (Success7Sem). The Odds Ratios (OR) for study success are reported. RESULTS: For both test groups a significant correlation existed between test results and study success (HAM-Nat: OR=2.07; NatDenk: OR=2.58). If both admission criteria are estimated in one model, the main effects (GPA: OR=2.45; test: OR=2.32) and their interaction effect (OR=1.80) are significant in the HAM-Nat test group, whereas in the NatDenk test group only the test result (OR=2.21) significantly contributes to the variance explained. CONCLUSIONS: On their own both HAM-Nat and NatDenk have predictive power for study success, but only the HAM-Nat explains additional variance if combined with GPA. The selection according to HAM-Nat and GPA has under the current circumstances of medical school selection (many good applicants and only a limited number of available spaces) the highest predictive power of all models.