6 research outputs found

    An Examination of ESI Triage Scoring Accuracy in Relationship to ED Nursing Attitudes and Experience.

    No full text
    INTRODUCTION: This research was designed to examine if there is a difference in nurse attitudes and experience for those who assign Emergency Severity Index (ESI) scores accurately and those who do not assign ESI scores accurately. Studies that have used ESI scoring discussed the role of experience, but have not specifically addressed how the amount of experience and attitude towards patients in triage affect the triage nurse\u27s decision-making capabilities. METHODS: A descriptive, exploratory study design was used. Data from 64 nurses and 1,644 triage events at 3 emergency departments was collected. Participants completed demographic data, attitude (Caring Nurse Patient Interaction, CNPI-23) survey, and triage data collection tools during the continuous 8-hour triage shift. Clinical nurse expert raters retrospectively reviewed the charts and assigned an ESI score to be compared with the nurse. Descriptive statistics were used to describe the nurse and Pearson\u27s correlation was used to examine the relationship between experience and attitude. RESULTS: In this study of 64 nurse participants, the ESI score assigned by nurse participants did not differ significantly based on years of experience or CNPI mean score. The Kappa statistic ranged from a high of 0.63 in the nurse participant with 1.00 to 1.99 years of experience to a low of 0.51 in the nurse participant with 15 to 19 years of experience. The nurse participants with an overall mean CNPI-23 score of 106 to 115 achieved the highest agreement compared with a single participant with a CNPI-23 overall mean score of less than 77 who had a Kappa agreement of 0.50. The nurse participants with a CNPI-23 overall mean score between 81 and 92 demonstrated agreement of 0.54 to 0.60. DISCUSSION: Based on the high level of liability the triage area presents, special consideration needs to be made when deciding which nurse should be assigned to that area. The evidence produced from this study should provide some reassurance to ED managers and nurses alike that nurses with minimal ED experience and a working understanding of the ESI 5-level triage algorithm possess the knowledge and the capacity to safely and appropriately triage patients in the emergency department

    An Examination of ESI Triage Scoring Accuracy in Relationship to ED Nursing Attitudes and Experience.

    No full text
    INTRODUCTION: This research was designed to examine if there is a difference in nurse attitudes and experience for those who assign Emergency Severity Index (ESI) scores accurately and those who do not assign ESI scores accurately. Studies that have used ESI scoring discussed the role of experience, but have not specifically addressed how the amount of experience and attitude towards patients in triage affect the triage nurse\u27s decision-making capabilities. METHODS: A descriptive, exploratory study design was used. Data from 64 nurses and 1,644 triage events at 3 emergency departments was collected. Participants completed demographic data, attitude (Caring Nurse Patient Interaction, CNPI-23) survey, and triage data collection tools during the continuous 8-hour triage shift. Clinical nurse expert raters retrospectively reviewed the charts and assigned an ESI score to be compared with the nurse. Descriptive statistics were used to describe the nurse and Pearson\u27s correlation was used to examine the relationship between experience and attitude. RESULTS: In this study of 64 nurse participants, the ESI score assigned by nurse participants did not differ significantly based on years of experience or CNPI mean score. The Kappa statistic ranged from a high of 0.63 in the nurse participant with 1.00 to 1.99 years of experience to a low of 0.51 in the nurse participant with 15 to 19 years of experience. The nurse participants with an overall mean CNPI-23 score of 106 to 115 achieved the highest agreement compared with a single participant with a CNPI-23 overall mean score of less than 77 who had a Kappa agreement of 0.50. The nurse participants with a CNPI-23 overall mean score between 81 and 92 demonstrated agreement of 0.54 to 0.60. DISCUSSION: Based on the high level of liability the triage area presents, special consideration needs to be made when deciding which nurse should be assigned to that area. The evidence produced from this study should provide some reassurance to ED managers and nurses alike that nurses with minimal ED experience and a working understanding of the ESI 5-level triage algorithm possess the knowledge and the capacity to safely and appropriately triage patients in the emergency department

    ALICE: Physics Performance Report, Volume II

    No full text
    ALICE is a general-purpose heavy-ion experiment designed to study the physics of strongly interacting matter and the quark-gluon plasma in nucleus-nucleus collisions at the LHC. It currently involves more than 900 physicists and senior engineers, from both the nuclear and high-energy physics sectors, from over 90 institutions in about 30 countries. The ALICE detector is designed to cope with the highest particle multiplicities above those anticipated for Pb-Pb collisions (dN(ch)/dy up to 8000) and it will be operational at the start-up of the LHC. In addition to heavy systems, the ALICE Collaboration will study collisions of lower-mass ions, which are a means of varying the energy density, and protons (both pp and pA), which primarily provide reference data for the nucleus-nucleus collisions. In addition, the pp data will allow for a number of genuine pp physics studies. The detailed design of the different detector systems has been laid down in a number of Technical Design Reports issued between mid-1998 and the end of 2004. The experiment is currently under construction and will be ready for data taking with both proton and heavy-ion beams at the start-up of the LHC. Since the comprehensive information on detector and physics performance was last published in the ALICE Technical Proposal in 1996, the detector, as well as simulation, reconstruction and analysis software have undergone significant development. The Physics Performance Report (PPR) provides an updated and comprehensive summary of the performance of the various ALICE subsystems, including updates to the Technical Design Reports, as appropriate. The PPR is divided into two volumes. Volume I, published in 2004 (CERN/LHCC 2003-049, ALICE Collaboration 2004 J. Phys. G: Nucl. Part. Phys. 30 1517-1763), contains in four chapters a short theoretical overview and an extensive reference list concerning the physics topics of interest to ALICE, the experimental conditions at the LHC, a short summary and update of the subsystem designs, and a description of the offline framework and Monte Carlo event generators. The present volume, Volume II, contains the majority of the information relevant to the physics performance in proton-proton, proton-nucleus, and nucleus-nucleus collisions. Following an introductory overview, Chapter 5 describes the combined detector performance and the event reconstruction procedures, based on detailed simulations of the individual subsystems. Chapter 6 describes the analysis and physics reach for a representative sample of physics observables, from global event characteristics to hard processes

    Measurements of the Total and Differential Higgs Boson Production Cross Sections Combining the H??????? and H???ZZ*???4??? Decay Channels at s\sqrt{s}=8??????TeV with the ATLAS Detector

    No full text
    Measurements of the total and differential cross sections of Higgs boson production are performed using 20.3~fb1^{-1} of pppp collisions produced by the Large Hadron Collider at a center-of-mass energy of s=8\sqrt{s} = 8 TeV and recorded by the ATLAS detector. Cross sections are obtained from measured HγγH \rightarrow \gamma \gamma and HZZ4H \rightarrow ZZ ^{*}\rightarrow 4\ell event yields, which are combined accounting for detector efficiencies, fiducial acceptances and branching fractions. Differential cross sections are reported as a function of Higgs boson transverse momentum, Higgs boson rapidity, number of jets in the event, and transverse momentum of the leading jet. The total production cross section is determined to be σppH=33.0±5.3(stat)±1.6(sys)pb\sigma_{pp \to H} = 33.0 \pm 5.3 \, ({\rm stat}) \pm 1.6 \, ({\rm sys}) \mathrm{pb}. The measurements are compared to state-of-the-art predictions.Measurements of the total and differential cross sections of Higgs boson production are performed using 20.3  fb-1 of pp collisions produced by the Large Hadron Collider at a center-of-mass energy of s=8  TeV and recorded by the ATLAS detector. Cross sections are obtained from measured H→γγ and H→ZZ*→4ℓ event yields, which are combined accounting for detector efficiencies, fiducial acceptances, and branching fractions. Differential cross sections are reported as a function of Higgs boson transverse momentum, Higgs boson rapidity, number of jets in the event, and transverse momentum of the leading jet. The total production cross section is determined to be σpp→H=33.0±5.3 (stat)±1.6 (syst)  pb. The measurements are compared to state-of-the-art predictions.Measurements of the total and differential cross sections of Higgs boson production are performed using 20.3 fb1^{-1} of pppp collisions produced by the Large Hadron Collider at a center-of-mass energy of s=8\sqrt{s} = 8 TeV and recorded by the ATLAS detector. Cross sections are obtained from measured HγγH \rightarrow \gamma \gamma and HZZ4H \rightarrow ZZ ^{*}\rightarrow 4\ell event yields, which are combined accounting for detector efficiencies, fiducial acceptances and branching fractions. Differential cross sections are reported as a function of Higgs boson transverse momentum, Higgs boson rapidity, number of jets in the event, and transverse momentum of the leading jet. The total production cross section is determined to be σppH=33.0±5.3(stat)±1.6(sys)pb\sigma_{pp \to H} = 33.0 \pm 5.3 \, ({\rm stat}) \pm 1.6 \, ({\rm sys}) \mathrm{pb}. The measurements are compared to state-of-the-art predictions
    corecore