79 resultados para supporting documents


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Survivorship is an important issue in cancer care in the UK. More people are being diagnosed with the disease and many more are living for longer after diagnosis. The National Cancer Survivorship Initiative recommends that patients with cancer have a package of care designed to improve outcomes and support for those living with and beyond the disease. The recovery package consists of a holistic needs assessment, treatment summary, cancer care review and health and wellbeing event. Although these interventions are recommended as a way to improve care, many people do not have access to the combined package, or even some of its components. The Cancer Nursing Partnership (CNP), a collaboration of cancer nursing organisations and communities of influence, has been established to support nurses with delivery of the recovery package in practice. This article describes the package and its components, introduces the CNP and outlines the work it has carried out to date.

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The Cork University Dental School & Hospital, University College Cork, introduced an innovative programme in April 2011, which provided prospective dental students with an opportunity to participate in a one-day experiential workshop. The aim of the workshop was to provide students with an overview of the dental undergraduate programmes. Feedback on the workshop was exceptionally positive, and prospective students would recommend the workshop to a fellow student, as it helped to inform their decision about choosing dentistry as a first option.

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BACKGROUND: This series of guidance documents on cough, which will be published over time, is a hybrid of two processes: (1) evidence-based guidelines and (2) trustworthy consensus statements based on a robust and transparent process.

METHODS: The CHEST Guidelines Oversight Committee selected a nonconflicted Panel Chair and jointly assembled an international panel of experts in each clinical area with few, if any, conflicts of interest. PICO (population, intervention, comparator, outcome)-based key questions and parameters of eligibility were developed for each clinical topic to inform the comprehensive literature search. Existing guidelines, systematic reviews, and primary studies were assessed for relevance and quality. Data elements were extracted into evidence tables and synthesized to provide summary statistics. These, in turn, are presented to support the evidence-based graded recommendations. A highly structured consensus-based Delphi approach was used to provide expert advice on all guidance statements. Transparency of process was documented.

RESULTS: Evidence-based guideline recommendations and consensus-based suggestions were carefully crafted to provide direction to health-care providers and investigators who treat and/or study patients with cough. Manuscripts and tables summarize the evidence in each clinical area supporting the recommendations and suggestions.

CONCLUSIONS: The resulting guidance statements are based on a rigorous methodology and transparency of process. Unless otherwise stated, the recommendations and suggestions meet the guidelines for trustworthiness developed by the Institute of Medicine and can be applied with confidence by physicians, nurses, other health-care providers, investigators, and patients.

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Purpose: Recent evidence suggests that neuroglial dysfunction and degeneration contributes to the etiology and progression of diabetic retinopathy. Advanced lipoxidation end products (ALEs) have been implicated in the pathology of various diseases, including diabetes and several neurodegenerative disorders. The purpose of the present study was to investigate the possible link between the accumulation of ALEs and neuroretinal changes in diabetic retinopathy.

Methods: Retinal sections obtained from diabetic rats and age-matched controls were processed for immunohistochemistry using antibodies against several well defined ALEs. In vitro experiments were also performed using a human Muller (Moorfields/Institute of Ophthalmology-Muller 1 [ MIO-M1]) glia cell line. Western blot analysis was used to measure the accumulation of the acrolein-derived ALE adduct N epsilon-(3-formyl-3,4-dehydropiperidino)lysine (FDP-lysine) in Muller cells preincubated with FDP-lysine-modified human serum albumin (FDP-lysine-HSA). Responses of Muller cells to FDP-lysine accumulation were investigated by analyzing changes in the protein expression of heme oxygenase-1 (HO-1), glial fibrillary acidic protein (GFAP), and the inwardly rectifying potassium channel Kir4.1. In addition, mRNA expression levels of vascular endothelial growth factor (VEGF), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF alpha) were determined by reverse transcriptase PCR (RT-PCR). Apoptotic cell death was evaluated by fluorescence-activated cell sorting (FACS) analysis after staining with fluorescein isothiocyanate (FITC)-labeled annexin V and propidium iodide.

Results: No significant differences in the levels of malondialdehyde-, 4-hydroxy-2-nonenal-, and 4-hydroxyhexenal-derived ALEs were evident between control and diabetic retinas after 4 months of diabetes. By contrast, FDP-lysine immunoreactivity was markedly increased in the Muller glia of diabetic rats. Time-course studies revealed that FDP-lysine initially accumulated within Muller glial end feet after only a few months of diabetes and thereafter spread distally throughout their inner radial processes. Exposure of human Muller glia to FDP-lysine-HSA led to a concentration-dependent accumulation of FDP-lysine-modified proteins across a broad molecular mass range. FDP-lysine accumulation was associated with the induction of HO-1, no change in GFAP, a decrease in protein levels of the potassium channel subunit Kir4.1, and upregulation of transcripts for VEGF, IL-6, and TNF-alpha. Incubation of Muller glia with FDP-lysine-HSA also caused apoptosis at high concentrations.

Conclusions: Collectively, these data strongly suggest that FDP-lysine accumulation could be a major factor contributing to the Muller glial abnormalities occurring in the early stages of diabetic retinopathy.

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Due to population ageing, Japan and Germany have to extend individuals´ working lives. However, disability increases with old-age. Workplace accommodation is a means to enable disabled individuals to remain productively employed. Drawing on qualitative interview data, this paper explores how School Authorities in these countries use workplace accommodation to support ill teachers, a white-collar profession strongly affected by (mental) ill-health. It furthermore explores how such measures influence older teachers´ career expectations and outcomes. It finds that even though the institutional contexts are similar, career options and expectations vary, though with similar (negative) outcomes for national strategies to extend working lives.

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We consider the problem of segmenting text documents that have a
two-part structure such as a problem part and a solution part. Documents
of this genre include incident reports that typically involve
description of events relating to a problem followed by those pertaining
to the solution that was tried. Segmenting such documents
into the component two parts would render them usable in knowledge
reuse frameworks such as Case-Based Reasoning. This segmentation
problem presents a hard case for traditional text segmentation
due to the lexical inter-relatedness of the segments. We develop
a two-part segmentation technique that can harness a corpus
of similar documents to model the behavior of the two segments
and their inter-relatedness using language models and translation
models respectively. In particular, we use separate language models
for the problem and solution segment types, whereas the interrelatedness
between segment types is modeled using an IBM Model
1 translation model. We model documents as being generated starting
from the problem part that comprises of words sampled from
the problem language model, followed by the solution part whose
words are sampled either from the solution language model or from
a translation model conditioned on the words already chosen in the
problem part. We show, through an extensive set of experiments on
real-world data, that our approach outperforms the state-of-the-art
text segmentation algorithms in the accuracy of segmentation, and
that such improved accuracy translates well to improved usability
in Case-based Reasoning systems. We also analyze the robustness
of our technique to varying amounts and types of noise and empirically
illustrate that our technique is quite noise tolerant, and
degrades gracefully with increasing amounts of noise