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Summary Background Arm hemiparesis secondary to stroke is common and disabling. We aimed to assess whether robotic training of an affected arm with ARMin—an exoskeleton robot that allows task-specific training in three dimensions—reduces motor impairment more effectively than does conventional therapy. Methods In a prospective, multicentre, parallel-group randomised trial, we enrolled patients who had had motor impairment for more than 6 months and moderate-to-severe arm paresis after a cerebrovascular accident who met our eligibility criteria from four centres in Switzerland. Eligible patients were randomly assigned (1:1) to receive robotic or conventional therapy using a centre-stratified randomisation procedure. For both groups, therapy was given for at least 45 min three times a week for 8 weeks (total 24 sessions). The primary outcome was change in score on the arm (upper extremity) section of the Fugl-Meyer assessment (FMA-UE). Assessors tested patients immediately before therapy, after 4 weeks of therapy, at the end of therapy, and 16 weeks and 34 weeks after start of therapy. Assessors were masked to treatment allocation, but patients, therapists, and data analysts were unmasked. Analyses were by modified intention to treat. This study is registered with ClinicalTrials.gov, number NCT00719433. Findings Between May 4, 2009, and Sept 3, 2012, 143 individuals were tested for eligibility, of whom 77 were eligible and agreed to participate. 38 patients assigned to robotic therapy and 35 assigned to conventional therapy were included in analyses. Patients assigned to robotic therapy had significantly greater improvements in motor function in the affected arm over the course of the study as measured by FMA-UE than did those assigned to conventional therapy ( F =4·1, p=0·041; mean difference in score 0·78 points, 95% CI 0·03–1·53). No serious adverse events related to the study occurred. Interpretation Neurorehabilitation therapy including task-oriented training with an exoskeleton robot can enhance improvement of motor function in a chronically impaired paretic arm after stroke more effectively than conventional therapy. However, the absolute difference between effects of robotic and conventional therapy in our study was small and of weak significance, which leaves the clinical relevance in question. Funding Swiss National Science Foundation and Bangerter-Rhyner Stiftung.

The portrayal of disabled people in the media can influence the public's perception of disability in both positive and negative ways. In this article, an experimental before and after design is used to determine the effects of a short film on the attitudes of non-disabled and disabled persons concerning employment and productivity of persons with disabilities.Three questions were posed to 480 study participants prior to and following a short film featuring a police officer with paraplegia. Linear mixed models were used to assess the effects of time point and disability status on the responses.The non-disabled participants' ratings of eligibility for employment of a paraplegic man and estimates of the employment rate of disabled people were significantly enhanced following the film. Nevertheless, the film had no significant effects on the ratings given by participants with disabilities in terms of eligibility, employment rate or productivity.This investigation highlights the potentially important influence of media portrayal and coverage of people with disabilities on attitudes of the public concerning disability.Restrictions in participation may result from an interaction of persons with impairments with an environment that is dominated by negative attitudes towards disability The portrayal of disabled people in the media can influence the public's attitudes towards disability in both positive and negative ways In this experimental study, attitudes of the general public were significantly improved following viewing a short film featuring a positive media portrayal of a police officer with paraplegia.

Visual cues from persons with impairments may trigger stereotypical generalisations that lead to prejudice and discrimination. The main objective of this pilot study is to examine whether visual stimuli of impairment activate latent prejudice against disability and whether this connection can be counteracted with priming strategies.In a field experiment, participants were asked to rate photographs showing models with mental impairments, wheelchair users with paraplegia, and persons without any visible impairment. Participants should appraise the models with regard to several features (e.g. communicativeness, intelligence). One hundred participants rated 12 photo models yielding a total of 1183 observations. One group of participants was primed with a cover story introducing visual perception of impairment as the study's gist, while controls received neutral information.Photo models with mental impairments were rated lowest and models without visible impairment highest. In participants who did not have prior contacts with persons with impairments, priming led to a levelling of scores of models with and without impairment. Prior contacts with persons with impairments created similar effects as the priming. Unexpectedly, a pattern of converse double discrimination to the disadvantage of men with mental impairments was revealed.Signs of stereotypical processing of visual cues of impairment have been found in participants of the Swiss general population. Personal contact with persons with impairments as well as priming participants seems to reduce stereotyping.

Journal of developmental and physical disabilities, 23 (3), ISSN:1056-263X, ISSN:1573-3580

A conditional independence graph is a concise representation of pairwise conditional independence among many variables. Graphical Random Forests (GRaFo) are a novel method for estimating pairwise conditional independence relationships among mixed-type, i.e. continuous and discrete, variables. The number of edges is a tuning parameter in any graphical model estimator and there is no obvious number that constitutes a good choice. Stability Selection helps choosing this parameter with respect to a bound on the expected number of false positives (error control). The performance of GRaFo is evaluated and compared with various other methods for p = 50, 100, and 200 possibly mixed-type variables while sample size is n = 100 (n = 500 for maximum likelihood). Furthermore, GRaFo is applied to data from the Swiss Health Survey in order to evaluate how well it can reproduce the interconnection of functional health components, personal, and environmental factors, as hypothesized by the World Health Organization's International Classification of Functioning, Disability and Health (ICF). Finally, GRaFo is used to identify risk factors which may be associated with adverse neurodevelopment of children who suffer from trisomy 21 and experienced open-heart surgery. GRaFo performs well with mixed data and thanks to Stability Selection it provides an error control mechanism for false positive selection., Comment: The authors report no conflict of interest. There was no external funding

Background Quality of life (QoL) in persons with spinal cord injury (SCI) has been found to differ across countries. However, comparability of measurement results between countries depends on the cross-cultural validity of the applied instruments. The study examined the metric quality and cross-cultural validity of the Satisfaction with Life Scale (SWLS), the Life Satisfaction Questionnaire (LISAT-9), the Personal Well-Being Index (PWI) and the 5-item World Health Organization Quality of Life Assessment (WHOQoL-5) across six countries in a sample of persons with spinal cord injury (SCI). Methods A cross-sectional multi-centre study was conducted and the data of 243 out-patients with SCI from study centers in Australia, Brazil, Canada, Israel, South Africa, and the United States were analyzed using Rasch-based methods. Results The analyses showed high reliability for all 4 instruments (person reliability index .78-.92). Unidimensionality of measurement was supported for the WHOQoL-5 (Chi2 = 16.43, df = 10, p = .088), partially supported for the PWI (Chi2 = 15.62, df = 16, p = .480), but rejected for the LISAT-9 (Chi2 = 50.60, df = 18, p = .000) and the SWLS (Chi2 = 78.54, df = 10, p = .000) based on overall and item-wise Chi2 tests, principal components analyses and independent t-tests. The response scales showed the expected ordering for the WHOQoL-5 and the PWI, but not for the other two instruments. Using differential item functioning (DIF) analyses potential cross-country bias was found in two items of the SWLS and the WHOQoL-5, three items of the LISAT-9 and four items of the PWI. However, applying Rasch-based statistical methods, especially subtest analyses, it was possible to identify optimal strategies to enhance the metric properties and the cross-country equivalence of the instruments post-hoc. Following the post-hoc procedures the WHOQOL-5 and the PWI worked in a consistent and expected way in all countries. Conclusions QoL assessment using the summary scores of the WHOQOL-5 and the PWI appeared cross-culturally valid in persons with SCI. In contrast, summary scores of the LISAT-9 and the SWLS have to be interpreted with caution. The findings of the current study can be especially helpful to select instruments for international research projects in SCI., Health and Quality of Life Outcomes, 8, ISSN:1477-7525

We examined whether persons with spinal cord injury (SCI) from countries with differential resources and resource distribution differ in the level and structure of functioning and disability. We analysed cross-sectional data of 1,048 persons with SCI from 14 countries based on the International Classification of Functioning, Disability and Health (ICF). We used penalized logistic regression to identify ICF categories distinguishing lower- and higher-resourced countries. Hierarchical linear models were employed to predict the number of problems in functioning. The association structure of ICF categories was compared between higher- and lower-resourced countries using graphical models. A total of 96 ICF categories separated lower- and higher-resourced countries. Differences were not univocal. Lower resources and unequal distribution were predictive of more functional problems in persons with higher age or tetraplegia. In the graphical models, few associations between ICF categories persisted across countries. Higher-resourced countries do not score higher in all ICF categories. Countries’ economic resources and their distribution are significant predictors of disability in vulnerable groups such as tetraplegics and the elderly. Functioning is multi-dimensional and structures of association suggest that country-specific pathways towards disability exist.

The complexity of rehabilitation outcomes in terms of functioning and disability leads to the need for dimension reduction in relation to specific research or clinical problems. Several statistical procedures are at hand. This article examines whether and to what extent principal component analysis (PCA) and graphical models differ in the dimension reduction of data based on the International Classification of Functioning, Disability and Health (ICF).Using a data set of 1048 persons with spinal cord injury from 14 different countries as a case in point, this article compares the solutions in dimension reduction generated with a graphical model based on least average shrinkage selection operator (LASSO) regression on one hand and with a PCA on the other.Some factors extracted with the PCA properly match the clusters found with the graphical model, while in others less commonality can be found. In general, overlap ranges from 9 to 100% with 75% on average. Many of the discovered clusters or factors, i.e. dimensions, are compatible with the ICF structure, particularly in activity and participation.Functioning is a multidimensional, complex and dynamic outcome. We recommend being careful with dimension reduction based on statistical procedures alone. Theoretical considerations and clinical significance should always guide statistics. Stability of emergent dimensions that are compatible with theoretical or clinical considerations is a most important point. At least two different statistical procedures for dimension reduction, for instance PCA and LASSO regression, should be applied to conservatively select those dimensions that stay stable with both procedures.