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Purpose: Brain injuries (traumatic-/nontraumatic, TBI/nTBI) in young patients may lead to problems e.g., decreased health-related quality of life (HRQoL), and causes family impact. Knowledge regarding the family impact and the relationship with patients' HRQoL over time is scarce. This follow-up study describes family impact/HRQoL and their mutual relationship in young patients (5-24 years) after TBI/nTBI., Materials and Methods: Parents of patients that were referred to outpatient rehabilitation completed the PedsQL™Family-Impact-Module questionnaire to assess the family impact and the parent-reported PedsQL™Generic-core-set-4.0 to assess patients' HRQoL (lower scores: more family impact/worse HRQoL). Questionnaires were completed at the time of referral to rehabilitation (baseline) and one/two years later (T1/T2). Linear-mixed models were used to examine family impact/HRQoL change scores, and repeated-measure correlations (r) to determine longitudinal relationships., Results: Two-hundred-forty-six parents participated at baseline, 72 (at T2), median patient's age at baseline was 14 years (IQR:11-16), and 181 (74%) had TBI. Mean (SD) PedsQL™Family-Impact-Module score at baseline was 71.7 (SD:16.4) and PedsQL™Generic-core-set-4.0: 61.4 (SD:17.0). Over time, PedsQL™Family-Impact-Module scores remained stable, while PedsQL™Generic-core-set-4.0 scores improved significantly( p  < 0.05). A moderately strong longitudinal correlation was found between family impact&HRQoL ( r  = 0.51)., Conclusions: Family impact does not tend to decrease over time but remained a considerable problem, although patients' HRQoL improved. Next to focusing on patients' HRQoL, it remains important to consider family impact and offer family support throughout rehabilitation.IMPLICATIONS FOR REHABILITATIONThis longitudinal study found that in young patients with traumatic brain injury (TBI) or non-traumatic brain injury (nTBI) referred for rehabilitation there is a considerable impact on the family until two years after referral, whereas the patients' health-related quality of life (HRQoL) improved significantly.Improvements in patients' quality of life status may not automatically lead to a decrease of family impact.Rehabilitation clinicians should monitor the impact on the family over time and provide long-term family support with special attention to parental worrying when needed.Clinicians should be aware that, despite significant differences between the clinical characteristics of patients with TBI and nTBI, the courses of family impact are very similar.

Objective: To compare the effect on disability and quality of life, of conventional rehabilitation (control group) with individualized, tailored eRehabilitation intervention alongside conventional rehabilitation (Fast@home; intervention group), for people with stroke., Methods: Pre-post design. The intervention comprised cognitive (Braingymmer®) and physical (Telerevalidatie®/Physitrack®) exercises, activity-tracking (Activ8®) and psycho-education. Assessments were made at admission (T0) and after 3 (T3) and 6 months (T6). The primary outcome concerned disability (Stroke Impact Scale; SIS). Secondary outcomes were: health-related quality of life, fatigue, self-management, participation and physical activity. Changes in scores between T0-T3, T3-T6, and T0-T6 were compared by analysis of variance and linear mixed models., Results: The study included 153 and 165 people with stroke in the control and intervention groups, respectively. In the intervention group, 82 (50%) people received the intervention, of whom 54 (66%) used it. Between T3 and T6, the change in scores for the SIS subscales Communication (control group/intervention group -1.7/-0.3) and Physical strength (-5.7/3.3) were significantly greater in the total intervention group (all mean differences< minimally clinically important differences). No significant differences were found for other SIS subscales or secondary outcomes, or between T0-T3 and T0-T6., Conclusion: eRehabilitation alongside conventional stroke rehabilitation had a small positive effect on communication and physical strength on the longer term, compared to conventional rehabilitation only.

Purpose: To study the association between fatigue and participation and QoL after acquired brain injury (ABI) in adolescents and young adults (AYAs)., Materials & Methods: Cross-sectional study with AYAs aged 14-25 years, diagnosed with ABI. The PedsQL™ Multidimensional Fatigue Scale, Child & Adolescent Scale of Participation, and PedsQL™4.0 Generic Core Scales were administered., Results: Sixty-four AYAs participated in the study, 47 with traumatic brain injury (TBI). Median age at admission was 17.6 yrs, 0.8 yrs since injury. High levels of fatigue (median 44.4 (IQR 34.7, 59.7)), limited participation (median 82.5 (IQR 68.8, 92.3)), and diminished QoL (median 63.0 (IQR 47.8, 78.3)) were reported. More fatigue was significantly associated with more participation restrictions (β 0.64, 95%CI 0.44, 0.85) and diminished QoL (β 0.87, 95%CI 0.72, 1.02)., Conclusions: AYAs with ABI reported high levels of fatigue, limited participation and diminished quality of life with a significant association between fatigue and both participation and QoL. Targeting fatigue in rehabilitation treatment could potentially improve participation and QoL.

Cognitive impairment after stroke has a direct impact on daily functioning and quality of life (QoL) of patients and is associated with higher mortality and healthcare costs. The aim of this study was to determine the effect of a computer-based brain training programme on cognitive functioning, QoL and self-efficacy compared to a control condition in stroke patients. Stroke patients with self-perceived cognitive impairment were randomly allocated to the intervention or control group. The intervention consisted of an 8-week brain training programme (Lumosity Inc.®). The control group received general information about the brain weekly. Assessments consisted of a set of neuropsychological tests and questionnaires. In addition, adherence with trained computer tasks was recorded. No effect of the training was found on cognitive functioning, QoL or self-efficacy when compared to the control condition, except for very limited effects on working memory and speed. This study found very limited effects on neuropsychological tests that were closely related to trained computer tasks, but no transfers to other tests or self-perceived cognitive failures, QoL or self-efficacy. These findings warrant the need for further research into the value of computer-based brain training to improve cognitive functioning in the chronic phase after stroke.

Objective: To determine health-related quality of life (HRQoL) in children and youth with acquired brain injury (ABI) two years post-injury and explore associated factors., Design: Cross-sectional., Subjects: Children and youth (n = 72; aged 6-22 years) with mild to severe ABI (87% mild)., Methods: The primary outcome measures self-reported and parent-reported HRQoL were assessed with the Paediatric Quality of Life Inventory (PedsQL) and compared with age-appropriate reference values of the Dutch population. Spearman correlation coefficients (Rs) were used to explore relationships between HRQoL and sociodemographic and ABI characteristics, severity of impairments and presence of post-injury problems., Results: Children and youth with ABI and the reference population had similar self-reported HRQoL. However, as reported by parents, children with ABI aged 6-7 years and youth aged 13-18 years had poorer HRQoL regarding psychosocial health. Children's post-injury cognitive, behavioural and social problems were moderately associated with poorer HRQoL, especially psychosocial health (Rs ≥ 0.40). Severity nor type of injury were associated with children's HRQoL., Conclusion: Two years post-injury, in children and youth with mild to severe ABI, reported HRQoL is similar to that in the general population, whereas parents reported less favourable outcomes. Post-injury cognitive, behavioural and social problems require ongoing attention during long-term follow-up., (Copyright © 2015 European Paediatric Neurology Society. Published by Elsevier Ltd. All rights reserved.)

Objective: To assess the parental view on the impact of pediatric traumatic brain injury (TBI) and nontraumatic brain injury (NTBI) on the family and its determinants., Methods: Follow-up study including parents of children with a hospital-based diagnosis of acquired brain injury (ABI) aged 4-20 years at onset of ABI. Parents completed the Pediatric Quality of Life Inventory Family Impact Module (PedsQL FIM), which measures Parent Health-Related Quality of Life, Family Functioning, Communication, and Worry. Additional assessments included the Pediatric Stroke Outcome Measure (PSOM), the Child & Family Follow-up Survey (CFFS), PedsQL General Core and Multiple Fatigue Scales, and sociodemographic and disease characteristics., Results: Parents of 108 patients, median age 13 years (range 5-22), completed the questionnaires 24-30 months after diagnosis. There were 81 patients with TBI of whom 11 (14%) with moderate/severe TBI and 27 patients with NTBI of whom 5 (19%) with moderate/severe NTBI. The median PedsQL FIM Total Scale was 80.4 (SD 16.1). The PedsQL FIM Total Scale and 4 out of 5 Subscale Scores were statistically significantly better in the TBI group than in the NTBI group and in patients with severe NTBI than with mild/moderate NTBI. Moreover, in the total group, there were significant univariate associations between the FIM Total Scale and/or one or more Subscale Scores and age, preinjury patient health problems, and the PSOM, CFFS, PedsQL General Core, and Multiple Fatigue Scales. In the multivariable analysis, the FIM Total Scale was significantly associated with type and severity of injury and preinjury patient health problems., Conclusions: Two years after onset, the parent-reported that impact of ABI on the family as measured by the PedsQL FIM was considerable especially in patients with moderate/severe NTBI.