Feasibility of a novel blended-care intervention for fatigue after acquired brain injury: a pilot study of the Tied by Tiredness intervention.

PURPOSE: Evidence-based treatments for fatigue after brain injury are scarce and often not personalized. An approach to foster personalization is Experience Sampling Methodology (ESM), consisting of repeated daily measurements of fatigue and related factors in daily life. We investigated the feasibility and usability of a novel six-week ESM-based intervention for fatigue after brain injury. MATERIALS AND METHODS: Ten individuals with acquired brain injury (six men; four women) aged between 36-70 years (M = 53.3, SD = 12.9) used a mHealth application for three days each week during six-weeks; seven completed the intervention. Momentary fatigue, activities, mood, worrying, and social context were assessed with ESM and participants received weekly personalized feedback by a therapist.. RESULTS: 56% of ESM-questionnaires (568/1008) were completed, providing detailed insights into individual fatigue patterns. No statistically significant decrease in response rate was found over the course of treatment. Qualitative feedback from participants revealed increased insight into factors underlying fatigue, and no problems with treatment duration or difficulties using the app. Five participants showed a decline in fatigue level during treatment. CONCLUSIONS: This pilot study provides initial support for the feasibility and usability of this novel blended-care intervention, aimed at alleviating fatigue through personalized feedback and treatment strategies.

The association of personality traits with poststroke fatigue in daily life: An exploratory experience sampling method and cross-sectional study.

Fatigue is a frequently occurring and persistent symptom after stroke. Many biological, psychosocial, and behavioural factors are associated with poststroke fatigue, but research into associations with personality traits is relatively sparse. In this study, we explored whether personality traits were related to poststroke fatigue measured with conventional fatigue questionnaires as well as experience sampling methodology (ESM). Twenty-four individuals with stroke completed 10 daily questionnaires about momentary (here-and-now) fatigue for six consecutive days using the mHealth ESM application PsyMateTM. Further, they completed questionnaires assessing personality (NEO-FFI and LOR-T) and fatigue (FSS). Results showed that higher extraversion (ß = -.44, SE = .12, p = .001; 95% CI = -.67-.19) and optimism (ß = -.18, SE = .06, p = .007; 95% CI = -.30-.05) were associated with lower momentary fatigue. No association was found between neuroticism and momentary fatigue, but higher neuroticism (r = 0.531, p = .008, 95% CI = .160-.759; r = .574, p = .003, 95% CI = .245-.767) was associated with higher scores on the retrospective FSS scales. We conclude that personality traits differentially influence poststroke fatigue, but this also depends on the way fatigue is measured (with retrospective or with momentary measures). When functional gains are not in line with expected progress during the rehabilitation treatment of fatigue, it may be appropriate to take into account how person characteristics are related to momentary fatigue.