Communities of practice: a systematic review and meta-synthesis of what it means and how it really works among nursing students and novices

Aims and Objectives: To evaluate the enablers, barriers and impact that communities of practice have on novice nurses and students learning to become registered nurses.Background: Communities of practice have formed the basis for conceptualising the process of learning that occurs among groups of people within a place of work-a mainstay of healthcare practice. There is a dearth of literature that focuses specifically on the outcomes from student and novice engagement with existing communities of practice.Design: Systematic review and Meta-synthesis.Methods: MEDLINE, PubMed, EMBASE, CINAHL, ProQuest, Scopus and PsycINFO databases were accessed between 1997-2019. The screening and selection of studies were based on eligibility criteria and methodological quality assessment using the Critical Appraisal Skills Programme tool for qualitative research. Meta-synthesis was grounded in the original experiences and collectively synthesised into meaningful themes. The review follows the PRISMA reporting guidelines and PRISMA checklist.Results: The findings highlight three major themes and included enablers for successful communities of practice, barriers to successful communities of practice, and success in action as described by students and novice nurses.Discussion: We suggest successful communities of practice occur when safe and supported spaces ensure students and novices feel comfortable to experiment with their learning, and we emphasise the benefits of having more novice nurses situated within close proximity and under the direct influence of the established practices of more experienced or core group of peers.Relevance to Clinical Practice: Communities of practice that function successfully create an environment that prioritises the embedding of novices into the broader group. In so doing, students and novice nurses feel supported, welcomed, empowered, and able to make the transition from student to colleague and novice nurse to more experienced nurse. It allows them to experiment with ever new ways of fulfilling the role, while aiding better clinical outcomes

Dead Bird Clusters as an Early Warning System for West Nile Virus Activity

An early warning system for West Nile virus (WNV) outbreaks could provide a basis for targeted public education and surveillance activities as well as more timely larval and adult mosquito control. We adapted the spatial scan statistic for prospective detection of infectious disease outbreaks, applied the results to data on dead birds reported from New York City in 2000, and reviewed its utility in providing an early warning of WNV activity in 2001. Prospective geographic cluster analysis of dead bird reports may provide early warning of increasing viral activity in birds and mosquitoes, allowing jurisdictions to triage limited mosquito-collection and laboratory resources and more effectively prevent human disease caused by the virus. This adaptation of the scan statistic could also be useful in other infectious disease surveillance systems, including that for bioterrorism

After LUX: The LZ Program

The LZ program consists of two stages of direct dark matter searches using liquid Xe detectors. The first stage will be a 1.5-3 tonne detector, while the last stage will be a 20 tonne detector. Both devices will benefit tremendously from research and development performed for the LUX experiment, a 350 kg liquid Xe dark matter detector currently operating at the Sanford Underground Laboratory. In particular, the technology used for cryogenics and electrical feedthroughs, circulation and purification, low-background materials and shielding techniques, electronics, calibrations, and automated control and recovery systems are all directly scalable from LUX to the LZ detectors. Extensive searches for potential background sources have been performed, with an emphasis on previously undiscovered background sources that may have a significant impact on tonne-scale detectors. The LZ detectors will probe spin-independent interaction cross sections as low as 5E-49 cm2 for 100 GeV WIMPs, which represents the ultimate limit for dark matter detection with liquid xenon technology.Comment: Conference proceedings from APS DPF 2011. 9 pages, 6 figure

Radiogenic and Muon-Induced Backgrounds in the LUX Dark Matter Detector

The Large Underground Xenon (LUX) dark matter experiment aims to detect rare low-energy interactions from Weakly Interacting Massive Particles (WIMPs). The radiogenic backgrounds in the LUX detector have been measured and compared with Monte Carlo simulation. Measurements of LUX high-energy data have provided direct constraints on all background sources contributing to the background model. The expected background rate from the background model for the 85.3 day WIMP search run is $(2.6\pm0.2_{\textrm{stat}}\pm0.4_{\textrm{sys}})\times10^{-3}$~events~keV$_{ee}^{-1}$~kg$^{-1}$~day$^{-1}$ in a 118~kg fiducial volume. The observed background rate is $(3.6\pm0.4_{\textrm{stat}})\times10^{-3}$~events~keV$_{ee}^{-1}$~kg$^{-1}$~day$^{-1}$, consistent with model projections. The expectation for the radiogenic background in a subsequent one-year run is presented.Comment: 18 pages, 12 figures / 17 images, submitted to Astropart. Phy