Improving wheelchair prescription: an analysis of user needs and existing tools

Wheelchair users experience many situations that affect the stability and associated performance of their wheelchair. Stability is affected by user characteristics and abilities, environmental features and conditions, and wheelchair modification and accessories. Wheelchair prescribers need effective tools and methods to provide quantitative evaluation and prediction of the behavior of the user-wheelchair system in a variety of static and dynamic situations. Such information is very important to guide efficient management of associated risks and adjust chairs accordingly. This project involves a user-centered approach for design and evaluation of a load cell based wheelchair stability assessment system (Wheel-SAS). Here, the current methods for assessing stability are described, and their shortcomings explained. The user-centered design approach being applied to the development of the associated Wheel-SAS hardware and software is described. Future work including semi-structured interviews and an online survey with wheelchair prescribers and associated healthcare professionals for deriving user requirements and a design specification for a load cell system for measuring dynamic wheelchair stability are detailed.     

The stochastic distribution of available coefficient of friction on quarry tiles for human locomotion

The available coefficient of friction (ACOF) for human locomotion is the maximum coefficient of friction that can be supported without a slip at the shoe and floor interface. A statistical model was introduced to estimate the probability of slip by comparing the ACOF with the required coefficient of friction, assuming that both coefficients have stochastic distributions. This paper presents an investigation of the stochastic distributions of the ACOF of quarry tiles under dry, water and glycerol conditions. One hundred friction measurements were performed on a walkway under the surface conditions of dry, water and 45% glycerol concentration. The Kolmogorov-Smirnov goodness-of-fit test was used to determine if the distribution of the ACOF was a good fit with the normal, log-normal and Weibull distributions. The results indicated that the ACOF appears to fit the normal and log-normal distributions better than the Weibull distribution for the water and glycerol conditions. However, no match was found between the distribution of ACOF under the dry condition and any of the three continuous distributions evaluated. Based on limited data, a normal distribution might be more appropriate due to its simplicity, practicality and familiarity among the three distributions evaluated.     

Why do newcomers vote for a newcomer? Support for an immigrant party

This article studies the voters of DENK, the first immigrant party to gain seats in a national parliament. It builds further on the existing literature on how immigrants and people from immigrant descent vote in Western European countries. From the literature we derive seven expectations about the kind of voters that are likely to vote for an immigrant party in terms of their political cynicism, attitudes towards economic, globalisation and moral issues. We find that DENK voters are younger Muslims, who have conservative views on moral matters, cynical attitudes towards politics, right-wing views on economic matters and progressive views on issues that pertain to the globalisation dimension, such as immigration, integration and Islam and in particular discrimination. This article uses VAA data to construct a matched sample that in terms of key variables is representative for voters with and without a migration background.     

Beyond the nation-state Polish national identity and cultural intimacy online

This article analyses the debate on ‘new patriotism’ in a Polish online discussion forum. We study the ways in which national identity is constructed in this setting. Digital communication contributes further to expanding discourse on national identities beyond nation-state borders. We analyse close to 6000 posts from a large Polish Internet discussion forum through the methods of quantitative concept mapping and qualitative close readings. Our results show that patriotism is negotiated beyond strictly national frameworks. It is not merely a question of national interest as it also connects people through a process of establishing and maintaining of cultural intimacy.     

Muslims’ social inclusion and exclusion in France,Québec,and Canada: does national context matter?*

This article compares the social experiences of Muslim minorities in three contexts – France, Québec, and English Canada – each reflecting a different approach to immigrant integration. France’s republican model emphasises cultural assimilation and the exclusion of religion from the public sphere; Canada’s multicultural model advocates official recognition of minority cultures; Québec shares Canada’s tradition of large-scale permanent immigration but embodies a unique intercultural discourse of integration, in some ways resembling France. We compare the social experiences of Muslim and non-Muslim minorities in these three settings using the French ‘Trajectories and Origins’ survey (2009) and the Canadian ‘Ethnic Diversity Survey’ (2002) data on reports of discrimination, friendship networks, social trust, voluntarism, and national identity. We find the Muslim/non-Muslim gap in social inclusion is significant in all three settings and results from ethnic, cultural, or racial differences, more than religion. In assessing immigrants’ social inclusion, we suggest consideration be given to: (i) the reality of ‘national models’ in the community, (ii) a tendency for minorities to locate in more accepting segments of mainstream society, and (iii) the limited impact of policies based on national models.     

Engaging with Comparative Risk Appraisals: Public Views on Policy Priorities for Environmental Risk Governance

Communicating the rationale for allocating resources to manage policy priorities and their risks is challenging. Here, we demonstrate that environmental risks have diverse attributes and locales in their effects that may drive disproportionate responses among citizens. When 2,065 survey participants deployed summary information and their own understanding to assess 12 policy‐level environmental risks singularly, their assessment differed from a prior expert assessment. However, participants provided rankings similar to those of experts when these same 12 risks were considered as a group, allowing comparison between the different risks. Following this, when individuals were shown the prior expert assessment of this portfolio, they expressed a moderate level of confidence with the combined expert analysis. These are important findings for the comprehension of policy risks that may be subject to augmentation by climate change, their representation alongside other threats within national risk assessments, and interpretations of agency for public risk management by citizens and others.     

Control‐based imputation for sensitivity analyses in informative censoring for recurrent event data

In clinical trials, missing data commonly arise through nonadherence to the randomized treatment or to study procedure. For trials in which recurrent event endpoints are of interests, conventional analyses using the proportional intensity model or the count model assume that the data are missing at random, which cannot be tested using the observed data alone. Thus, sensitivity analyses are recommended. We implement the control‐based multiple imputation as sensitivity analyses for the recurrent event data. We model the recurrent event using a piecewise exponential proportional intensity model with frailty and sample the parameters from the posterior distribution. We impute the number of events after dropped out and correct the variance estimation using a bootstrap procedure. We apply the method to an application of sitagliptin study.     

Endless Pressure: Life on a Low Income in Austere Times

Much has been written that details the decline in living standards following the ‘credit crunch’ in the UK. It remains that we understand to a lesser degree the lived reality of poverty through the Great Recession and into the era of austerity. This article draws on testimonies of 62 participants from low income households conducted in three different areas of the UK during 2012–13 to document the pressures that this period brought to bear on these households. According to these testimonies, the experience of poverty intensified in key respects: first, participants reported feeling, more than ever before, that they were ‘existing, rather than living’ due to the meagre budgets they were forced to live on; second, the precarious nature of work and social security contributed to a sense of insecurity that was all pervasive in our participants' lives; third, due to the pejorative political rhetoric and media coverage of poverty, our participants felt that their lives were placed under increased scrutiny which deleteriously impacted their wider relationships and sense of belonging. Our analysis demonstrates the profound consequences for those living on low incomes of the continued shift to residual forms of state welfare and the increased reliance on the ‘Big Society’ as a means to deal with the pressures identified in this article.     

A re-evaluation of random-effects meta-analysis

Summary.  Meta-analysis in the presence of unexplained heterogeneity is frequently undertaken by using a random-effects model, in which the effects underlying different studies are assumed to be drawn from a normal distribution. Here we discuss the justification and interpretation of such models, by addressing in turn the aims of estimation, prediction and hypothesis testing. A particular issue that we consider is the distinction between inference on the mean of the random-effects distribution and inference on the whole distribution. We suggest that random-effects meta-analyses as currently conducted often fail to provide the key results, and we investigate the extent to which distribution-free, classical and Bayesian approaches can provide satisfactory methods. We conclude that the Bayesian approach has the advantage of naturally allowing for full uncertainty, especially for prediction. However, it is not without problems, including computational intensity and sensitivity to a priori judgements. We propose a simple prediction interval for classical meta-analysis and offer extensions to standard practice of Bayesian meta-analysis, making use of an example of studies of 'set shifting' ability in people with eating disorders.