Literature review on advance care planning of nursing home residents

Aim: Conduct a search and analytic review of literature regarding attributes of Advance Care Planning (ACP) and Advance Directive in order to identify the experiences and the best care strategies for older adults resident in nursing homes or long term institutions. Methodology: An extensive electronic search was undertaken in the following databases: Pubmed (via Ovid search), Cumulative Index of Nursing and Allied Health (CINAHL, via EBHOST), psychINFO and Cochrane. After analyzing and eliminating duplicates and professional's point of view (19), 144 titles were considered relevant: 28 opinion papers, 94 descriptive/qualitative studies or predictive studies, 17 experimental and five systematic reviews. Most of them were produced in North America and only 10 were in French. Results: With regard to European experiences, studies are scarce and further research could benefit from North American evidence. Contrary to Europe, nurses in North America play a major role in the process of care planning. The major findings were related to the poor efficacy of the completion of Advance Directives, even in presence of a substantial variety of implementation strategies. The evidence supports interventions that conceptualize ACP as a process, with an emphasis on the ascertainment of patients' values and beliefs and the necessity to include the family or loved ones from the beginning of the process in order to favor the expression and sharing of one's life perspectives and priorities in care. The most relevant findings were associated with the conceptualization of the ACP as a change in health behaviors which needs an involvement in different stages to overcome a variety of barriers. Conclusion: Rigorous research in ACP for the older adults in Swiss nursing homes that promote respect and dignity in this frail population is needed. How to best achieve patients and families goals should be the focus of nursing intervention and research in this domain.

Comparative performance of supertree algorithms in large data sets using the soapberry family (Sapindaceae) as a case study.

For the last 2 decades, supertree reconstruction has been an active field of research and has seen the development of a large number of major algorithms. Because of the growing popularity of the supertree methods, it has become necessary to evaluate the performance of these algorithms to determine which are the best options (especially with regard to the supermatrix approach that is widely used). In this study, seven of the most commonly used supertree methods are investigated by using a large empirical data set (in terms of number of taxa and molecular markers) from the worldwide flowering plant family Sapindaceae. Supertree methods were evaluated using several criteria: similarity of the supertrees with the input trees, similarity between the supertrees and the total evidence tree, level of resolution of the supertree and computational time required by the algorithm. Additional analyses were also conducted on a reduced data set to test if the performance levels were affected by the heuristic searches rather than the algorithms themselves. Based on our results, two main groups of supertree methods were identified: on one hand, the matrix representation with parsimony (MRP), MinFlip, and MinCut methods performed well according to our criteria, whereas the average consensus, split fit, and most similar supertree methods showed a poorer performance or at least did not behave the same way as the total evidence tree. Results for the super distance matrix, that is, the most recent approach tested here, were promising with at least one derived method performing as well as MRP, MinFlip, and MinCut. The output of each method was only slightly improved when applied to the reduced data set, suggesting a correct behavior of the heuristic searches and a relatively low sensitivity of the algorithms to data set sizes and missing data. Results also showed that the MRP analyses could reach a high level of quality even when using a simple heuristic search strategy, with the exception of MRP with Purvis coding scheme and reversible parsimony. The future of supertrees lies in the implementation of a standardized heuristic search for all methods and the increase in computing power to handle large data sets. The latter would prove to be particularly useful for promising approaches such as the maximum quartet fit method that yet requires substantial computing power.

Strategic Enterprise Architecture Management - Challenges, Best Practices, and Future Developments

The discipline of Enterprise Architecture Management (EAM) deals with the alignment of business and information systems architectures. While EAM has long been regarded as a discipline for IT managers this book takes a different stance: It explains how top executives can use EAM for leveraging their strategic planning and controlling processes and how EAM can contribute to sustainable competitive advantage. Based on the analysis of best practices from eight leading European companies from various industries the book presents crucial elements of successful EAM. It outlines what executives need to do in terms of governance, processes, methodologies and culture in order to bring their management to the next level. Beyond this, the book points how EAM might develop in the next decade allowing today's managers to prepare for the future of architecture management.

ConnectomeViewer - Multi-Modal Multi-Level Network Visualization and Analysis.

Introduction: The field of Connectomic research is growing rapidly, resulting from methodological advances in structural neuroimaging on many spatial scales. Especially progress in Diffusion MRI data acquisition and processing made available macroscopic structural connectivity maps in vivo through Connectome Mapping Pipelines (Hagmann et al, 2008) into so-called Connectomes (Hagmann 2005, Sporns et al, 2005). They exhibit both spatial and topological information that constrain functional imaging studies and are relevant in their interpretation. The need for a special-purpose software tool for both clinical researchers and neuroscientists to support investigations of such connectome data has grown. Methods: We developed the ConnectomeViewer, a powerful, extensible software tool for visualization and analysis in connectomic research. It uses the novel defined container-like Connectome File Format, specifying networks (GraphML), surfaces (Gifti), volumes (Nifti), track data (TrackVis) and metadata. Usage of Python as programming language allows it to by cross-platform and have access to a multitude of scientific libraries. Results: Using a flexible plugin architecture, it is possible to enhance functionality for specific purposes easily. Following features are already implemented: * Ready usage of libraries, e.g. for complex network analysis (NetworkX) and data plotting (Matplotlib). More brain connectivity measures will be implemented in a future release (Rubinov et al, 2009). * 3D View of networks with node positioning based on corresponding ROI surface patch. Other layouts possible. * Picking functionality to select nodes, select edges, get more node information (ConnectomeWiki), toggle surface representations * Interactive thresholding and modality selection of edge properties using filters * Arbitrary metadata can be stored for networks, thereby allowing e.g. group-based analysis or meta-analysis. * Python Shell for scripting. Application data is exposed and can be modified or used for further post-processing. * Visualization pipelines using filters and modules can be composed with Mayavi (Ramachandran et al, 2008). * Interface to TrackVis to visualize track data. Selected nodes are converted to ROIs for fiber filtering The Connectome Mapping Pipeline (Hagmann et al, 2008) processed 20 healthy subjects into an average Connectome dataset. The Figures show the ConnectomeViewer user interface using this dataset. Connections are shown that occur in all 20 subjects. The dataset is freely available from the homepage (connectomeviewer.org). Conclusions: The ConnectomeViewer is a cross-platform, open-source software tool that provides extensive visualization and analysis capabilities for connectomic research. It has a modular architecture, integrates relevant datatypes and is completely scriptable. Visit www.connectomics.org to get involved as user or developer.

The evolution of social discounting in hierarchically clustered populations.

The expression of a social behaviour may affect the fitness of actors and recipients living in the present and in the future of the population. When there is a risk that a future reward will not be experienced in such a context, the value of that reward should be discounted; but by how much? Here, we evaluate social discount rates for delayed fitness rewards to group of recipients living at different positions in both space and time than the actor in a hierarchically clustered population. This is a population where individuals are grouped into families, families into villages, villages into clans, and so on, possibly ad infinitum. The group-wide fitness effects are assumed to either increase or decrease the fecundity or the survival of recipients and can be arbitrarily extended in space and time. We find that actions changing the survival of individuals living in the future are generally more strongly discounted than fecundity-changing actions for all future times and that the value of future rewards increases as individuals live longer. We also find that delayed fitness effects may not only be discounted by a constant factor per unit delay (exponential discounting), but that, as soon as there is localized dispersal in a population, discounting per unit delay is likely to fall rapidly for small delays and then slowly for longer delays (hyperbolic discounting). As dispersal tends to be localized in natural populations, our results suggest that evolution is likely to favour individuals that express present-biased behaviours and that may be time-inconsistent with respect to their group-wide effects.

Less is more ? The Commission proposal on access to EU documents and the proper limits of transparency

Transparency is now seen as a key tool of democratic governance. The European Union's commitment to transparency is now at the centre of a crucial debate between the Commission and the Parliament on the future of citizen's right of access to information. This article presents the main characteristics of the current regime and questions the pertinence of the proposed changes in light of the international drive at modernising access to information laws and the attempt at identifying the ̳proper limits of transparency'. The questions raised range from the identification of what can be accessed to the definition of exemption and the protection of competing interests.

Fertility preservation in cancer patients. Review of the French speaking part of Switzerland and recommendations for different situations.

Due to constant progress in oncology, survival rates of patients (children and adults) with cancer are increasing. Consequently, the reproductive future of young cancer patients needs to be addressed carefully. Fertility preservation techniques are available and issues such as the time available for fertility treatments, patients' age, presence of a partner and patients' personal wishes have to be considered. In Switzerland, a first therapeutic network (Réseau Romand de Cancer et Fertilité), was created in the French speaking part of Switzerland in 2006. Since 2010, a global Swiss network (FertiSave) has been created. The goal of these networks is to maximise the safety and efficacy of fertility preservation options offered to cancer patients without compromising their oncological prognosis. Patients' needs have to be identified, the therapeutic options evaluated rapidly and the optimal treatment promptly implemented in these urgent situations. This article reviews the fertility preservation options currently available and makes recommendations for different specific cancer situations, consistent with the latest scientific evidence and in general agreement with international recommendations.

Educational intervention for parents of adolescents with chronic illness: a pre-post test pilot study.

OBJECTIVE: This pilot experimental study tested the feasibility and intended effect of an educational intervention for parents to help them assist their adolescent child with chronic illness (CI) in becoming autonomous. METHODS: A two-phase pre-post pilot intervention study targeting parents of adolescents with CI was conducted. Parents were allocated to group 1 and 2 and received the four-module intervention consecutively. Intended effect was measured through online questionnaires for parents and adolescents before, at 2 months after, and at 4-6 months after the intervention. Feasibility was assessed through an evaluation questionnaire for parents. RESULTS: The most useful considered modules concerned the future of the adolescent and parents and social life. The most valued aspect was to exchange with other parents going through similar problems and receiving a new outlook on their relationship with their child. For parents, improvement trends appeared for shared management, parent protection, and self-efficacy, and worsening trends appeared for coping skills, parental perception of child vulnerability, and parental stress. For adolescents, improvement trends appeared for self-efficacy and parental bonding and worsening trends appeared for shared management and coping skills. CONCLUSION: Parents could benefit from peer-to-peer support and education as they support the needed autonomy development of their child. Future studies should test an online platform for parents to find peer support at all times and places.

Méta-analyses d'essais randomisés sur données individuelles dans le traitement des cancers ORL non métastatiques : principes, résultats, perspectives [Individual patient data meta-analyses of randomized trials for the treatment of non-metastatic head and neck squamous cell carcinomas: Principles, results and perspectives].

Meta-analyses are considered as an important pillar of evidence-based medicine. The aim of this review is to describe the main principles of a meta-analysis and to use examples of head and neck oncology to demonstrate their clinical impact and methodological interest. The major role of individual patient data is outlined, as well as the superiority of individual patient data over meta-analyses based on published summary data. The major clinical breakthrough of head and neck meta-analyses are summarized, regarding concomitant chemotherapy, altered fractionated chemotherapy, new regimens of induction chemotherapy or the use of radioprotectants. Recent methodological developments are described, including network meta-analyses, the validation of surrogate markers. Lastly, the future of meta-analyses is discussed in the context of personalized medicine.

The rare cancer network: ongoing studies and future strategy.

The Rare Cancer Network (RCN) was formed in the early 1990's to create a global network that could pool knowledge and resources in the studies of rare malignancies whose infrequency prevented both their study with prospective clinical trials. To date, the RCN has initiated 74 studies resulting in 46 peer reviewed publications. The First International Symposium of the Rare Cancer Network took place in Nice in March of 2014. Status updates and proposals for new studies were heard for fifteen topics. Ongoing studies continue for cardiac sarcomas, thyroid cancers, glomus tumors, and adult medulloblastomas. New proposals were presented at the symposium for primary hepatic lymphoma, solitary fibrous tumors, Rosai-Dorfman disease, tumors of the ampulla of Vater, salivary gland tumors, anorectal melanoma, midline nuclear protein in testes carcinoma, pulmonary lymphoepithelioma-like carcinoma, adenoid cystic carcinoma of the trachea, osteosarcomas of the mandible, and extra-cranial hemangiopericytoma. This manuscript presents the abstracts of those proposals and updates on ongoing studies, as well a brief summary of the vision and future of the RCN.

Use of GRADE for assessment of evidence about prognosis : rating confidence in estimates of event rates in broad categories of patients.

Main concepts : The Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach defines quality of evidence as confidence in effect estimates; this conceptualization can readily be applied to bodies of evidence estimating the risk of future of events (that is, prognosis) in broadly defined populations In the field of prognosis, a body of observational evidence (including single arms of randomized controlled trials) begins as high quality evidence. The five domains GRADE considers in rating down confidence in estimates of treatment effect-that is, risk of bias, imprecision, inconsistency, indirectness, and publication bias-as well as the GRADE criteria for rating up quality, also apply to estimates of the risk of future of events from a body of prognostic studies Applying these concepts to systematic reviews of prognostic studies provides a ful approach to determine confidence in estimates of overall prognosis in broad populations.

Business model design: an evaluation of paper-based and computer-aided canvases

In recent years, Business Model Canvas design has evolved from being a paper-based activity to one that involves the use of dedicated computer-aided business model design tools. We propose a set of guidelines to help design more coherent business models. When combined with functionalities offered by CAD tools, they show great potential to improve business model design as an ongoing activity. However, in order to create complex solutions, it is necessary to compare basic business model design tasks, using a CAD system over its paper-based counterpart. To this end, we carried out an experiment to measure user perceptions of both solutions. Performance was evaluated by applying our guidelines to both solutions and then carrying out a comparison of business model designs. Although CAD did not outperform paper-based design, the results are very encouraging for the future of computer-aided business model design.

Assessing the sociology of sport: On sport organizations and critical knowledge

The purpose of this contribution is to analyse the trajectory, the challenges and the future of the sociology of sport on three levels: the internal dynamic within the specific sub-field of the sociology of sport, its interactions with sociology and sport sciences, and its relation with sport organizations. The paper notes that the changes of the trajectory of the sociology of sport, first leaning on the profession of physical education teacher and then to sport sciences, as important consequences. Because most of the sociologists specialized in sport are working in sport sciences departments, the most important consequence is the dependency on sport sciences rather than on sociology. Compared to other fields of sociology, it means challenging other sciences for recognition. The paper argues that to face the threat of a marginalization within the field of sport science, the future of sociology of sport could be to fight for an external recognition. Applying sociology could spread critical views that are necessary to sport organizations. It could also give sociologists access to very interesting data, which can help producing good research, and give it a greater legitimacy within sport sciences. However, it is a risky strategy because of the necessity for the sociologists to stay critical both on sporting organization and on their own work.

Gaining momentum: New options and opportunities for the treatment of advanced melanoma.

Before 2011, patients with advanced or metastatic melanoma had a particularly poor long-term prognosis. Since traditional treatments failed to confer a survival benefit, patients were preferentially entered into clinical trials of investigational agents. A greater understanding of the epidemiology and biology of disease has underpinned the development of newer therapies, including six agents that have been approved in the EU, US and/or Japan: a cytotoxic T-lymphocyte antigen-4 inhibitor (ipilimumab), two programmed cell death-1 receptor inhibitors (nivolumab and pembrolizumab), two BRAF inhibitors (vemurafenib and dabrafenib) and a MEK inhibitor (trametinib). The availability of these treatments has greatly improved the outlook for patients with advanced melanoma; however, a major consideration for physicians is now to determine how best to integrate these agents into clinical practice. Therapeutic decisions are complicated by the need to consider patient and disease characteristics, and individual treatment goals, alongside the different efficacy and safety profiles of agents with varying mechanisms of action. Long-term survival, an outcome largely out of reach with traditional systemic therapies, is now a realistic goal, creating the additional need to re-establish how clinical benefit is evaluated. In this review we summarise the current treatment landscape in advanced melanoma and discuss the promise of agents still in development. We also speculate on the future of melanoma treatment and discuss how combination and sequencing approaches may be used to optimise patient care in the future.

The autonomic nervous activity of hostile acting

The present talk aims to examine the heart-rate variability (HRV) indexes of two populations known to be particularly sensitive to stress condition: violent offenders and intellectually impaired patients. For both, difficulties in managing stressful and emotional events could lead to unpredictable and hostile acting. Results in favour of specific HRV baseline patterns and emotional control will be developed, as the proposition of precursors of agitation in the physiological fluctuations preceding high tensed episodes. The improvement offered by coherent breathing trainings will be discussed for both groups.