Zoekresultaten

Determinants of participation of youth with acquired brain injury : A systematic review

Objectives: Participation is considerably restricted in children and adolescents with acquired brain injury (ABI) as compared to their healthy peers. This systematic review aims to identify which factors are associated with participation in children and adolescents with ABI. Methods: A systematic search in Medline and various other electronic databases from January 2001–November 2014 was performed. All clinical studies describing determinants of participation at least 1 year after the diagnosis of ABI by means of one or more pre-defined instruments in patients up to 18 years of age were included. Extracted data included study characteristics, patient characteristics, participation outcome and determinants of participation (categorized into: health conditions (including characteristics of ABI), body functions and structures, activities, personal factors and environmental factors). The methodological quality of the studies was evaluated based on three quality aspects (selection, information and statistical analysis bias) and scored as low, moderate or high. Results: Eight studies using an explicit participation outcome measure were selected after review, including a total of 1863 patients, with a follow-up ranging from 1 up to 288 months. Three studies included patients with a traumatic or a non-traumatic brain injury (TBI or NTBI) and five studies with only TBI patients. Factors consistently found to be associated with more participation restrictions were: greater severity of ABI, impaired motor, cognitive, behavioural and/or sensory functioning, limited accessibility of the physical environmentand worse family functioning. Fewer participation problems were associated with a supportive/nurturing parenting style, higher household income, acceptance and support in the community and availability of special programmes. The overall methodological quality of the included studies was high in two and moderate in six studies. Conclusion: This systematic review shows that only a few, moderate quality, studies on the determinants of participation after paediatric ABI using recommended explicit measurement instruments are available. Various components of the ICF model: health condition, body functions and structures and environmental factors were consistently found to be associated with participation. More methodologically sound studies, using the recommended explicit outcome measures, a standardized set of potential determinants and longterm follow-up are suggested to increase the knowledge on participation in children and youth with ABI.

The incidence of traumatic brain injury in young people in the catchment area of the University Hospital Rotterdam,The Netherlands

Background: Traumatic brain injury (TBI) is in the developed countries the most common cause of death and disability in childhood. Aim: The purpose of this study is to estimate the incidence of TBI for children and young people in an urbanised region of the Netherlands and to describe relevant characteristics of this group. Methods: Patients, aged 1 month - 24 years who presented with traumatic brain injury at the Erasmus University Hospital (including the Sophia Children's Hospital) in 2007 and 2008 were included in a retrospective study. Data were collected by means of diagnosis codes and search terms for TBI in patient records. The incidence of TBI in the different referral areas of the hospital for standard, specialised and intensive patient care was estimated. Results: 472 patients met the inclusion criteria. The severity of the Injury was classified as mild in 342 patients, moderate in 50 patients and severe in 80 patients. The total incidence of traumatic brain injury in the referral area of the Erasmus University Hospital was estimated at 113.9 young people per 100.000. The incidence for mild traumatic brain injury was estimated at 104.4 young people, for moderate 6.1 and for severe 3.4 young people per 100.000. Conclusion: The ratio for mild, moderate and severe traumatic brain injury in children and young people was 33.7e1.8e1.In the mild TBI group almost 17% of the patients reported sequelae. The finding that 42% of them had a normal brain CT scan at admission underwrites the necessity of careful follow up of children and young people with mild TBI.

Brain and Technology: to an argument based practice!

Since the emergence of modern man some 200,000 years ago, people and technologyhave been inextricably linked to each other. However, unlike traditional technology -such as leverage (and derivative applications such as hammers, wheels and crankshafts),and control of fire - smart technology is equipped with adaptive capacity. Whereas intraditional technology people have to think and handle in terms of technology in orderto apply technology successfully and purposefully, technology with, for example, itsown learning ability adapts to humans. This means that smart technology influencesdevelopment in a different way than traditional technology. Changes in the relationship between human development (brain) and smarttechnology - technology with its own learning capacity and adaptability - have led tothe articulation of 4 requirements technology should meet: 1. it must be sustainable, 2. it must not block development and if it does it must be clear how, 3. there must bea logical argument why the technique can be used and how it can be explained, also in terms of psychological development and, finally, 4. the social and ethical discoursemust be stated in a transparent way. At a fast pace, futurologists and management gurus are presenting “theories” abouthow smart technology will change us permanently as individuals. Requirements 1(sustainability) and 2 (technology influencing human development) are at stake here.However, these ideas cannot be substantiated by scientific research. Psychology(and the other social and human sciences) have not yet been able to generate a convincing interpretation of what is going on in the area of brain and technology (living technology). In fact, there is a need for argumentation. In order to arrive at an argument-based psychology, insight into the non-linearityof processes is indispensable.  The Brain & Technology research group is exploring the great possibilities to bridge the distance between people and their limitations by using smart technology, or possibilities, especially when it comes to argument based applied psychology!  In this document, mainly the argument requirement is considered, because in the rapidly changing technological processes, the argument often does not sufficiently develop and the argument lies pre-eminently at the level of applied psychology, brain and technology.

Fatigue, participation and quality of life in adolescents and young adults with acquired brain injury in an out patient rehabilitation cohort

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.

A Comparison of Different Modeling Techniques in Predicting Mortality With the Tilburg Frailty Indicator

Background: Modern modeling techniques may potentially provide more accurate predictions of dichotomous outcomes than classical techniques. Objective: In this study, we aimed to examine the predictive performance of eight modeling techniques to predict mortality by frailty. Methods: We performed a longitudinal study with a 7-year follow-up. The sample consisted of 479 Dutch community-dwelling people, aged 75 years and older. Frailty was assessed with the Tilburg Frailty Indicator (TFI), a self-report questionnaire. This questionnaire consists of eight physical, four psychological, and three social frailty components. The municipality of Roosendaal, a city in the Netherlands, provided the mortality dates. We compared modeling techniques, such as support vector machine (SVM), neural network (NN), random forest, and least absolute shrinkage and selection operator, as well as classical techniques, such as logistic regression, two Bayesian networks, and recursive partitioning (RP). The area under the receiver operating characteristic curve (AUROC) indicated the performance of the models. The models were validated using bootstrapping. Results: We found that the NN model had the best validated performance (AUROC=0.812), followed by the SVM model (AUROC=0.705). The other models had validated AUROC values below 0.700. The RP model had the lowest validated AUROC (0.605). The NN model had the highest optimism (0.156). The predictor variable “difficulty in walking” was important for all models. Conclusions: Because of the high optimism of the NN model, we prefer the SVM model for predicting mortality among community-dwelling older people using the TFI, with the addition of “gender” and “age” variables. External validation is a necessary step before applying the prediction models in a new setting.

Poverty and the Developing Brain