Obesity in People with Learning Disabilities: the impact of nurse led health screenings and health promotion activities

Background. Obesity appears to be more common among people with intellectual disabilities, with few studies focusing on achieving weight reduction. Aim. Firstly, to follow up people identified as overweight and obese following special health screening clinics and to determine the actions taken. Secondly, to evaluate the impact of health promotion classes on participants' weight loss. Methods. A clinic led by two learning disbaility nurses was held for all people aged 10 years and over (n=464) who attended special services within the area of one Health and Social Services Trust in Northern Ireland. In a second study, the nurses organised health promotion classes for 20 people over a 6 - 8 week period. Findings. The health screen identified 64% of adults and 26% of 10 - 19 year olds as being overweight or obese. Moreover, those aged 40 - 49 years who were obese had significantly higher levels of blood pressure. However, information obtained from a follow up questionnaire sent after 3 months suggested that of the 122 people identified for wiehgt reduciton, action had been taken for only 34% of them and only three were reported to have lost weight. The health promotion classes, however, led to a significant reduction in weight and body mass index scores. Conclusion. Health screening per se has limited impact on reducing obesity levels in this client group. Rather, health personnel such as general practitioners, nurses and health promotion staff need to work in partnership with service staff, carers and people with intellectual disabiltieis to create more active lifestyles.

A Hybrid Evolutionary Approach to the Nurse Rostering Problem

Nurse rostering is a difficult search problem with many constraints. In the literature, a number of approaches have been investigated including penalty function methods to tackle these constraints within genetic algorithm frameworks. In this paper, we investigate an extension of a previously proposed stochastic ranking method, which has demonstrated superior performance to other constraint handling techniques when tested against a set of constrained optimisation benchmark problems. An initial experiment on nurse rostering problems demonstrates that the stochastic ranking method is better in finding feasible solutions but fails to obtain good results with regard to the objective function. To improve the performance of the algorithm, we hybridise it with a recently proposed simulated annealing hyper-heuristic within a local search and genetic algorithm framework. The hybrid algorithm shows significant improvement over both the genetic algorithm with stochastic ranking and the simulated annealing hyper-heuristic alone. The hybrid algorithm also considerably outperforms the methods in the literature which have the previously best known results.

Molecular biology: the key to personalised treatment in radiation oncology?

We know considerably more about what makes cells and tissues resistant or sensitive to radiation than we did 20 years ago. Novel techniques in molecular biology have made a major contribution to our understanding at the level of signalling pathways. Before the “New Biology” era, radioresponsiveness was defined in terms of physiological parameters designated as the five Rs. These are: repair, repopulation, reassortment, reoxygenation and radiosensitivity. Of these, only the role of hypoxia proved to be a robust predictive and prognostic marker, but radiotherapy regimens were nonetheless modified in terms of dose per fraction, fraction size and overall time, in ways that persist in clinical practice today. The first molecular techniques were applied to radiobiology about two decades ago and soon revealed the existence of genes/proteins that respond to and influence the cellular outcome of irradiation. The subsequent development of screening techniques using microarray technology has since revealed that a very large number of genes fall into this category. We can now obtain an adequately robust molecular signature, predicting for a radioresponsive phenotype using gene expression and proteomic approaches. In parallel with these developments, functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) can now detect specific biological molecules such as haemoglobin and glucose, so revealing a 3D map of tumour blood flow and metabolism. The key to personalised radiotherapy will be to extend this capability to the proteins of the molecular signature that determine radiosensitivity.

On being a good nurse: reflections on the past and preparing for the future

On being a good nurse: reflections on the past and preparing for the future. The objectives of this paper include reflecting on the attributes of the ‘good’ nurse in the past, outlining thematically the essential attributes (virtues) required by the ‘good’ nurse today and presenting an original four- point framework for ethics in practice. While there is no doubt that nurses in the past were highly professional, the culture within which they practiced tended to stifle the emergence of autonomy, assertiveness, advocacy and accountability. An original table of contemporary attributes, which is congruent with a neo Aristotelian virtue ethical approach, is arranged in themes of Intellectual and Practical Attributes, Dispositional Attributes and Moral Attributes. A framework for professional practice, the ‘Four As’ is then extrapolated from these themes. These four key professional attributes, autonomy, advocacy, accountability and assertiveness, along with the virtues listed in the themes, exemplify the ‘good’ nurse and are identified as the linchpins of modern professional ethics and good conduct.