9 research outputs found

    QualDash: Adaptable Generation of Visualisation Dashboards for Healthcare Quality Improvement

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    YesAdapting dashboard design to different contexts of use is an open question in visualisation research. Dashboard designers often seek to strike a balance between dashboard adaptability and ease-of-use, and in hospitals challenges arise from the vast diversity of key metrics, data models and users involved at different organizational levels. In this design study, we present QualDash, a dashboard generation engine that allows for the dynamic configuration and deployment of visualisation dashboards for healthcare quality improvement (QI). We present a rigorous task analysis based on interviews with healthcare professionals, a co-design workshop and a series of one-on-one meetings with front line analysts. From these activities we define a metric card metaphor as a unit of visual analysis in healthcare QI, using this concept as a building block for generating highly adaptable dashboards, and leading to the design of a Metric Specification Structure (MSS). Each MSS is a JSON structure which enables dashboard authors to concisely configure unit-specific variants of a metric card, while offloading common patterns that are shared across cards to be preset by the engine. We reflect on deploying and iterating the design of QualDash in cardiology wards and pediatric intensive care units of five NHS hospitals. Finally, we report evaluation results that demonstrate the adaptability, ease-of-use and usefulness of QualDash in a real-world scenario

    Sodium and lithium incorporated cathode materials for energy storage applications - A focused review

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    The idea of lithium (Li)/sodium (Na) incorporated cathodes for both Li/Na-ion batteries has gained significant consideration throughout the past decade. The encouraging performance of various reported Li/Na incorporated cathode systems has the potential to review their exciting developments made so far to clearly understand the effect of numerous variables in improving the electrochemical performance. The current manuscript provides a focused review on the synthesis and electrochemical performance of these Li/Na incorporated cathode materials for Na/Li-ion batteries. Furthermore, the ruling mechanisms affecting the electrochemical performance of Li/Na incorporated cathode materials have been summarized. The majority of the synthesized Li/Na incorporated cathodes demonstrate good electrochemical cyclic stability, capacity retention, rate capability, charge/discharge capacity, etc. Li incorporated Na-based cathodes, show improved performance that can be attributed to the prevention of phase transformation at high voltages and loss of transition metal from the cathode. In the case of Na addition to Li-based cathodes, the Na pillaring effect significantly improves the Li interface layer stability, increases Li-ion diffusion, and retardation of Li and/or transition metal disordering. Various factors affecting the performance of Li/Na incorporated cathode families have been discussed that can be taken into account for development of future novel cathode materials demonstrating decent performance.The authors would like to acknowledge the financial support of Qatar University (QU) internal grant-QUCG-CENG-20/21-2. This publication was also made possible by NPRP Grant # NPRP11S-1225-170128 from Qatar National Research Fund (QNRF) (a member of the Qatar Foundation). Open Access funding provided by the Qatar National Library. Statements made here are the responsibility of the authors.Scopu

    A functional splice variant associated with decreased asthma risk abolishes the ability of gasdermin B to induce epithelial cell pyroptosis

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    Background: Genetic variants in the chromosomal region 17q21 are consistently associated with asthma. However, mechanistic studies have not yet linked any of the associated variants to a function that could influence asthma, and as a result, the identity of the asthma gene(s) remains elusive. Objectives: We sought to identify and characterize functional variants in the 17q21 locus. Methods: We used the Exome Aggregation Consortium browser to identify coding (amino acid–changing) variants in the 17q21 locus. We obtained asthma association measures for these variants in both the Genetic Epidemiology Research in Adult Health and Aging (GERA) cohort (16,274 cases and 38,269 matched controls) and the EVE Consortium study (5,303 asthma cases and 12,560 individuals). Gene expression and protein localization were determined by quantitative RT-PCR and fluorescence immunostaining, respectively. Molecular and cellular studies were performed to determine the functional effects of coding variants. Results: Two coding variants (rs2305480 and rs11078928) of the gasdermin B (GSDMB) gene in the 17q21 locus were associated with lower asthma risk in both GERA (odds ratio, 0.92; P = 1.01 × 10−6) and EVE (odds ratio, 0.85; joint PEVE = 1.31 × 10−13). In GERA, rs11078928 had a minor allele frequency (MAF) of 0.45 in unaffected (nonasthmatic) controls and 0.43 in asthma cases. For European Americans in EVE, the MAF of rs2305480 was 0.45 for controls and 0.39 for cases; for all EVE subjects, the MAF was 0.32 for controls and 0.27 for cases. GSDMB is highly expressed in differentiated airway epithelial cells, including the ciliated cells. We found that, when the GSDMB protein is cleaved by inflammatory caspase-1 to release its N-terminal fragment, potent pyroptotic cell death is induced. The splice variant rs11078928 deletes the entire exon 6, which encodes 13 amino acids in the critical N-terminus, and abolishes the pyroptotic activity of the GSDMB protein. Conclusions: Our study identified a functional asthma variant in the GSDMB gene of the 17q21 locus and implicates GSDMB-mediated epithelial cell pyroptosis in pathogenesis

    Whole-genome sequencing reveals host factors underlying critical COVID-19

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    Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

    Supporting nurse decision making in primary care: exploring use of and attitude to decision tools

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    Nurses are increasingly working more autonomously in extended roles, yet we know little about the nature of the decisions they make. Decisions vary in terms of complexity, ambiguity and presentation, and the nature of the decision task impacts on the process of decision making, such as the likelihood of using a decision tool. Thus, knowledge about the nature of nursing decisions is essential for development of effective decision tools. This article presents an analysis of 410 nurse-patient consultations and interviews with 76 primary care nurses, and explores the nature of the decisions that primary care nurses make and the impact of that on their use of and attitudes towards decision tools
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