Nurses' experiences providing palliative care to individuals living in rural communities aspects of the physical residential setting

Introduction: Efforts are needed to improve palliative care in rural communities, given the unique characteristics and inherent challenges with respect to working within the physical aspects of residential settings. Nurses who work in rural communities play a key role in the delivery of palliative care services. Hence, the purpose of this study was to explore nurses’ experiences of providing palliative care in rural communities, with a particular focus on the impact of the physical residential setting.

Methods: This study was grounded in a qualitative approach utilizing an exploratory descriptive design. Individual telephone interviews were conducted with 21 community nurses. Data were analyzed by thematic content analysis.

Results: Nurses described the characteristics of working in a rural community and how it influences their perception of their role, highlighting the strong sense of community that exists but how system changes over the past decade have changed the way they provide care. They also described the key role that they play, which was often termed a ‘jack of all trades’, but focused on providing emotional, physical, and spiritual care while trying to manage many challenges related to transitioning and working with other healthcare providers. Finally, nurses described how the challenges of working within the physical constraints of a rural residential setting impeded their care provision to clients who are dying in the community, specifically related to the long distances that they travel while dealing with bad weather.

The influence of inequality on the standard of living: Worldwide anthropometric evidence from the 19th and 20th centuries

We provide empirical evidence on the existence of the Pigou–Dalton principle. The latter indicates that aggregate welfare is – ceteris paribus – maximized when incomes of all individuals are equalized (and therefore marginal utility from income is as well). Using anthropometric panel data on 101 countries during the 19th and 20th centuries, we determine that there is a systematic negative and concave relationship between height inequality and average height. The robustness of this relationship is tested by means of several robustness checks, including two instrument variable regressions. These findings help to elucidate the impact of economic inequality on welfare.

Cultural and Genetic Influences on the “Biological Standard of Living”

This study suggests an improvement of a popular measure of living standards, namely the biological standard of living. One influence on it is a population's consumption pattern. Since there are different dietary patterns all over the world, researchers estimate the influences of national diets on final average male height. These habits are predominantly related to income, but also to genetics, cultural history, and decisions regarding whether to trade or consume high-quality foodstuffs. Systematic differences are found when analyzing protein-consumption habits among 51 countries between the 1960s and the 1980s. The author calculates metric correction values which can facilitate international comparisons of male average height. While the proposed correction values make a little difference on average, they can be valuable in a comparison of countries with markedly different dietary patterns.

Learning from time series:Supervised Aggregative Feature Extraction

Many modeling problems require to estimate a scalar output from one or more time series. Such problems are usually tackled by extracting a fixed number of features from the time series (like their statistical moments), with a consequent loss in information that leads to suboptimal predictive models. Moreover, feature extraction techniques usually make assumptions that are not met by real world settings (e.g. uniformly sampled time series of constant length), and fail to deliver a thorough methodology to deal with noisy data. In this paper a methodology based on functional learning is proposed to overcome the aforementioned problems; the proposed Supervised Aggregative Feature Extraction (SAFE) approach allows to derive continuous, smooth estimates of time series data (yielding aggregate local information), while simultaneously estimating a continuous shape function yielding optimal predictions. The SAFE paradigm enjoys several properties like closed form solution, incorporation of first and second order derivative information into the regressor matrix, interpretability of the generated functional predictor and the possibility to exploit Reproducing Kernel Hilbert Spaces setting to yield nonlinear predictive models. Simulation studies are provided to highlight the strengths of the new methodology w.r.t. standard unsupervised feature selection approaches. © 2012 IEEE.

Predictors of Strength of In-Group Identity in Northern Ireland: Impact of Past Sectarian Conflict, Relative Deprivation and Church Attendance

Social identity in Northern Ireland is multifaceted, with historical, religious, political, social, economic, and psychological underpinnings. Understanding the factors that influence the strength of identity with the Protestant or Catholic community, the two predominate social groups in Northern Ireland, has implications for individual well-being as well as for the continuation of tension and violence in this setting of protracted intergroup conflict. This study examined predictors of the strength of in-group identity in 692 women (mean age 37 years) in post-accord Northern Ireland. For Catholics, strength of in-group identity was positively linked to past negative impact of sectarian conflict and more frequent current church attendance, whereas for Protestants, strength of in-group identity was related to greater status satisfaction regarding access to jobs, standard of living, and political power compared with Catholics; that is, those who felt less relative deprivation. The discussion considers the differences in the factors underlying stronger identity for Protestants and Catholics in this context. 

Non-contact under-mattress sleep monitoring

Sleep quality and duration are increasingly recognised as being important prognostic parameters in the assessment of an individual's health. However, reliable non-invasive long-term monitoring of sleep in a non-clinical setting remains a challenging problem. This paper describes the validation of a novel under mattress pressure sensing sleep monitoring modality that can be seamlessly integrated into existing home environments and provides a pervasive and distributed solution for monitoring long-term changes in sleep patterns and sleep disorders in adults. 410 minutes of concomitant Under Mattress Bed Sensor (UMBS) and strain gauge data were analysed from eight healthy adults lying passively. In this analysis, customised respirations rate detection algorithms yielded a mean difference of −0.12 breaths per five minutes and a mean percentage error (MPE) of 0.16% when the sensor was placed beneath the mattress. 1,491 minutes of UMBS and video data were recorded simultaneously from four participants in order to assess the movement detection efficacy of customised UMBS algorithms. These algorithms yielded accuracies, sensitivities and specificities of over 90% when compared to a video-based movement detection gold standard. A reduced data set (267 minutes) of wrist actigraphy, the gold standard ambulatory sleep monitor, was recorded. The UMBS was shown to outperform the movement detection ability of wrist actigraphy and has the added advantage of not requiring active subject participation.

Beyond the standard work model? Varieties of flexible working time in European economies

Working time has been among the first aspect of the employment relation to be the object of intense regulation at the national and supra-national level. This standard regulation of working time comprised a number of elements: full-time hours, rigid working schedules, strong employers’ control and clear boundaries around working time In spite of general claims about the erosion of this model, few studies have investigated this process in a comparative and empirical perspective. The aim of this paper is to investigate the diversity of working time arrangements in European economies by applying latent class analysis to data
from the European Working Conditions Survey (EWCS). This analysis shows the existence of six different types of working time organization highlighting five cross-national patterns: multiple flexibilities, extended flexibility, standard, rigid and fragmented time.