Improving Statistical Analysis in Team Science: The Case of a Bayesian Multiverse of Many Labs 4

Team-science projects have become the “gold standard” for assessing the replicability and variability of key findings in psychological science. However, we believe the typical meta-analytic approach in these projects fails to match the wealth of collected data. Instead, we advocate the use of Bayesian hierarchical modeling for team-science projects, potentially extended in a multiverse analysis. We illustrate this full-scale analysis by applying it to the recently published Many Labs 4 project. This project aimed to replicate the mortality-salience effect—that being reminded of one’s own death strengthens the own cultural identity. In a multiverse analysis, we assess the robustness of the results with varying data-inclusion criteria and prior settings. Bayesian model comparison results largely converge to a common conclusion: The data provide evidence against a mortality-salience effect across the majority of our analyses. We issue general recommendations to facilitate full-scale analyses in team-science projects.</p

Implementation of the Crisis Resolution Team model in adult mental health settings: a systematic review.

Crisis Resolution Teams (CRTs) aim to offer an alternative to hospital admission during mental health crises, providing rapid assessment, home treatment, and facilitation of early discharge from hospital. CRTs were implemented nationally in England following the NHS Plan of 2000. Single centre studies suggest CRTs can reduce hospital admissions and increase service users' satisfaction: however, there is also evidence that model implementation and outcomes vary considerably. Evidence on crucial characteristics of effective CRTs is needed to allow team functioning to be optimised. This review aims to establish what evidence, if any, is available regarding the characteristics of effective and acceptable CRTs

A Topic Recommender for Journalists

The way in which people acquire information on events and form their own opinion on them has changed dramatically with the advent of social media. For many readers, the news gathered from online sources become an opportunity to share points of view and information within micro-blogging platforms such as Twitter, mainly aimed at satisfying their communication needs. Furthermore, the need to deepen the aspects related to news stimulates a demand for additional information which is often met through online encyclopedias, such as Wikipedia. This behaviour has also influenced the way in which journalists write their articles, requiring a careful assessment of what actually interests the readers. The goal of this paper is to present a recommender system, What to Write and Why, capable of suggesting to a journalist, for a given event, the aspects still uncovered in news articles on which the readers focus their interest. The basic idea is to characterize an event according to the echo it receives in online news sources and associate it with the corresponding readers’ communicative and informative patterns, detected through the analysis of Twitter and Wikipedia, respectively. Our methodology temporally aligns the results of this analysis and recommends the concepts that emerge as topics of interest from Twitter and Wikipedia, either not covered or poorly covered in the published news articles

Team Learning: A Theoretical Integration and Review

With the increasing emphasis on work teams as the primary architecture of organizational structure, scholars have begun to focus attention on team learning, the processes that support it, and the important outcomes that depend on it. Although the literature addressing learning in teams is broad, it is also messy and fraught with conceptual confusion. This chapter presents a theoretical integration and review. The goal is to organize theory and research on team learning, identify actionable frameworks and findings, and emphasize promising targets for future research. We emphasize three theoretical foci in our examination of team learning, treating it as multilevel (individual and team, not individual or team), dynamic (iterative and progressive; a process not an outcome), and emergent (outcomes of team learning can manifest in different ways over time). The integrative theoretical heuristic distinguishes team learning process theories, supporting emergent states, team knowledge representations, and respective influences on team performance and effectiveness. Promising directions for theory development and research are discussed

Job satisfaction in relation to communication in health care among nurses : a narrative review and pratical recommendations

Worldwide, nurse shortage and high turnover rates are observed. Job satisfaction is a major determinant of retention and is influenced by intraorganizational communication and perceived communication satisfaction. This article presents a narrative review on communication satisfaction, job satisfaction, and their mutual relationship as well as their impact on turnover intention and burnout risk in the nursing profession. A literature search was conducted in the databases PubMed, Web of Science, and The Cochrane Library, and 47 articles were included. Descriptive analysis identified different types of social networks in the health care workplace. There is a positive association between communication and job satisfaction among nurses, translating into decreased turnover intention and burnout risk. Job satisfaction is required both for organizational stability as for coguaranteeing patient safety. This will be best achieved through an organization-wide multimodal prevention and intervention program, aimed at optimizing different modalities of interprofessional communication, workload, and job satisfaction

Prevention and management of osteoporotic fractures by non-physician health professionals: a systematic literature review to inform EULAR points to consider

Objective To perform a systematic literature review (SLR) about the effect of non-pharmacological interventions delivered by non-physician health professionals to prevent and manage osteoporotic fractures. Methods Eight clinical questions based on two criteria guided the SLR: (1) adults >= 50 years at high risk of osteoporotic fracture and (2) interventions delivered by non-physician health professionals to prevent and manage osteoporotic fractures. Interventions focused on diagnostic procedures to identify risk of falling, therapeutic approaches and implementation strategies. Outcomes included fractures, falls, risk of falling and change in bone mineral density. Systematic reviews and randomised controlled trials were preferentially selected. Data were synthesised using a qualitative descriptive approach. Results Of 15 917 records, 43 articles were included. Studies were clinically and methodologically diverse. We identified sufficient evidence that structured exercise, incorporating progressive resistance training delivered to people who had undergone hip fracture surgery, and multicomponent exercise, delivered to people at risk of primary fracture, reduced risk of falling. The effectiveness of multidisciplinary fracture liaison services in reducing refracture rate was confirmed. There was insufficient evidence found to support the effectiveness of nutrients and falls prevention programmes in this patient population. Conclusion Despite study heterogeneity, our SLR showed beneficial effects of some interventions delivered by non-physician health professionals and the positive impact of multidisciplinary team working and patient educational approaches to prevent and manage osteoporotic fractures. These results informed a EULAR taskforce that developed points to consider for non-physician health professionals to prevent and manage osteoporotic fractures.This study was funded by the EULAR. Grant reference HPR 032.info:eu-repo/semantics/publishedVersio

Software Design Guidelines for Usability

For years, the Human Computer Interaction &#40;HCI&#41; community has crafted usability guidelines that clearly define what&#10;characteristics a software system should have in order to be easy to use. However, in the Software Engineering &#40;SE&#41;&#10;community keep falling short of successfully incorporating these recommendations into software projects. From a SE&#10;perspective, the process of incorporating usability features into software is not always straightforward, as a large number&#10;of these features have heavy implications in the underlying software architecture. For example, successfully including an&#10;&ldquo;undo&rdquo; feature in an application requires the design and implementation of many complex interrelated data structures and&#10;functionalities. Our work is focused upon providing developers with a set of software design patterns to assist them in the&#10;process of designing more usable software. This would contribute to the proper inclusion of specific usability features&#10;with high impact on the software design. Preliminary validation data show that usage of the guidelines also has positive&#10;effects on development time and overall software design quality

Unleashing Top-of-License Registered Nurse Practice: An Integrative Review

In light of a well-renowned report, “The Future of Nursing” released by the Institute of Medicine (2010), recommendations were suggested that nurses should practice at, and to, the full extent of their licensure, also referred to as top-of-license nursing practice. Transforming nursing care models coupled with strong leadership support is critical to fostering an environment where top-of-license practice can be fully achieved and sustained. This integrative review provides a compilation and synthesis of the available published evidence regarding the best practices for fostering environments conducive to top-of-license nursing practice. Results of these studies strongly supports the notion of nurses practicing to the full extent of their education and training