66 research outputs found

    Preoxygenation and prevention of desaturation during emergency airway management,”

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    Patients requiring emergency airway management are at great risk of hypoxemic hypoxia because of primary lung pathology, high metabolic demands, anemia, insufficient respiratory drive, and inability to protect their airway against aspiration. Tracheal intubation is often required before the complete information needed to assess the risk of periprocedural hypoxia is acquired, such as an arterial blood gas level, hemoglobin value, or even a chest radiograph. This article reviews preoxygenation and peri-intubation oxygenation techniques to minimize the risk of critical hypoxia and introduces a risk-stratification approach to emergency tracheal intubation. Techniques reviewed include positioning, preoxygenation and denitrogenation, positive end expiratory pressure devices, and passive apneic oxygenation. [Ann Emerg Med. 2011;xx:xxx.

    Preoxygenation and prevention of desaturation during emergency airway management,”

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    Patients requiring emergency airway management are at great risk of hypoxemic hypoxia because of primary lung pathology, high metabolic demands, anemia, insufficient respiratory drive, and inability to protect their airway against aspiration. Tracheal intubation is often required before the complete information needed to assess the risk of periprocedural hypoxia is acquired, such as an arterial blood gas level, hemoglobin value, or even a chest radiograph. This article reviews preoxygenation and peri-intubation oxygenation techniques to minimize the risk of critical hypoxia and introduces a risk-stratification approach to emergency tracheal intubation. Techniques reviewed include positioning, preoxygenation and denitrogenation, positive end expiratory pressure devices, and passive apneic oxygenation

    Towards Interoperable Network Ontologies for the Digital Humanities

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    Scholars have long been interested in networks. Networks of scholarly exchange, trade, kinship, and patronage are some of the many such longstanding subjects of study. Recent and ongoing digital humanities projects are now considering networks with fresh approaches and increasingly complex datasets. At the heart of these digital projects are ‘network ontologies’ — functional data models for distilling the complicated, messy connections between historical people, objects, and places. Although scholars creating network ontologies necessarily focus on different types of content, if these networks are to form a coherent body of scholarship in the future, we must work towards the creation of interoperable ontological structures, rather than yet another set of competing standards. Here we examine the methodological considerations behind designing such interoperable ontologies, focusing primarily on the example of Early Modern historical networks. We argue that it would be infeasible to adopt a single ontological standard for all possible digital humanities projects; flexibility is essential to accommodate all subjects and objects of humanistic enquiry, from the micro-level to the longue-durée. However, we believe it possible to establish shared practices to structure these network ontologies on an ongoing basis in order to ensure their long-term interoperability

    Team-focused implementation strategies to improve implementation of mental health screening and referral in rural Children\u27s Advocacy Centers: Study protocol for a pilot cluster randomized hybrid type 2 trial

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    BACKGROUND: Children\u27s Advocacy Centers (CACs) use multidisciplinary teams to investigate and respond to maltreatment allegations. CACs play a critical role in connecting children with mental health needs to evidence-based mental health treatment, especially in low-resourced rural areas. Standardized mental health screening and referral protocols can improve CACs\u27 capacity to identify children with mental health needs and encourage treatment engagement. In the team-based context of CACs, teamwork quality is likely to influence implementation processes and outcomes. Implementation strategies that target teams and apply the science of team effectiveness may enhance implementation outcomes in team-based settings. METHODS: We will use Implementation Mapping to develop team-focused implementation strategies to support the implementation of the Care Process Model for Pediatric Traumatic Stress (CPM-PTS), a standardized screening and referral protocol. Team-focused strategies will integrate activities from effective team development interventions. We will pilot team-focused implementation in a cluster-randomized hybrid type 2 effectiveness-implementation trial. Four rural CACs will implement the CPM-PTS after being randomized to either team-focused implementation (n = 2 CACs) or standard implementation (n = 2 CACs). We will assess the feasibility of team-focused implementation and explore between-group differences in hypothesized team-level mechanisms of change and implementation outcomes (implementation aim). We will use a within-group pre-post design to test the effectiveness of the CPM-PTS in increasing caregivers\u27 understanding of their child\u27s mental health needs and caregivers\u27 intentions to initiate mental health services (effectiveness aim). CONCLUSIONS: Targeting multidisciplinary teams is an innovative approach to improving implementation outcomes. This study will be one of the first to test team-focused implementation strategies that integrate effective team development interventions. Results will inform efforts to implement evidence-based practices in team-based service settings. TRIAL REGISTRATION: Clinicaltrials.gov, NCT05679154 . Registered on January 10, 2023

    The Equifinality of Archaeological Networks: an Agent-Based Exploratory Lab Approach

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    When we find an archaeological network, how can we explore the necessary versus contingent processes at play in the formation of that archaeological network? Given a set of circumstances or processes, what other possible network shapes could have emerged? This is the problem of equifinality, where many different means could potentially arrive at the same end result: the networks that we observe. This paper outlines how agent-based modelling can be used as a laboratory for exploring different processes of archaeological network formation. We begin by describing our best guess about how the (ancient) world worked, given our target materials (here, the networks of production and patronage surrounding the Roman brick industry in the hinterland of Rome). We then develop an agent-based model of the Roman extractive economy which generates different kinds of networks under various assumptions about how that economy works. The rules of the simulation are built upon the work of Bang (2006; 2008) who describes a model of the Roman economy which he calls the ‘imperial Bazaar’. The agents are allowed to interact, and the investigators compare the kinds of networks this description generates over an entire landscape of economic possibilities. By rigorously exploring this landscape, and comparing the resultant networks with those observed in the archaeological materials, the investigators will be able to employ the principle of equifinality to work out the representativeness of the archaeological network and thus the underlying processes

    Development of an In Vitro Model for the Multi-Parametric Quantification of the Cellular Interactions between Candida Yeasts and Phagocytes

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    We developed a new in vitro model for a multi-parameter characterization of the time course interaction of Candida fungal cells with J774 murine macrophages and human neutrophils, based on the use of combined microscopy, fluorometry, flow cytometry and viability assays. Using fluorochromes specific to phagocytes and yeasts, we could accurately quantify various parameters simultaneously in a single infection experiment: at the individual cell level, we measured the association of phagocytes to fungal cells and phagocyte survival, and monitored in parallel the overall phagocytosis process by measuring the part of ingested fungal cells among the total fungal biomass that changed over time. Candida albicans, C. glabrata, and C. lusitaniae were used as a proof of concept: they exhibited species-specific differences in their association rate with phagocytes. The fungal biomass uptaken by the phagocytes differed significantly according to the Candida species. The measure of the survival of fungal and immune cells during the interaction showed that C. albicans was the more aggressive yeast in vitro, destroying the vast majority of the phagocytes within five hours. All three species of Candida were able to survive and to escape macrophage phagocytosis either by the intraphagocytic yeast-to-hyphae transition (C. albicans) and the fungal cell multiplication until phagocytes burst (C. glabrata, C. lusitaniae), or by the avoidance of phagocytosis (C. lusitaniae). We demonstrated that our model was sensitive enough to quantify small variations of the parameters of the interaction. The method has been conceived to be amenable to the high-throughput screening of mutants in order to unravel the molecular mechanisms involved in the interaction between yeasts and host phagocytes

    A mixed methods pilot study with a cluster randomized control trial to evaluate the impact of a leadership intervention on guideline implementation in home care nursing

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    Abstract Background Foot ulcers are a significant problem for people with diabetes. Comprehensive assessments of risk factors associated with diabetic foot ulcer are recommended in clinical guidelines to decrease complications such as prolonged healing, gangrene and amputations, and to promote effective management. However, the translation of clinical guidelines into nursing practice remains fragmented and inconsistent, and a recent homecare chart audit showed less than half the recommended risk factors for diabetic foot ulcers were assessed, and peripheral neuropathy (the most significant predictor of complications) was not assessed at all. Strong leadership is consistently described as significant to successfully transfer guidelines into practice. Limited research exists however regarding which leadership behaviours facilitate and support implementation in nursing. The purpose of this pilot study is to evaluate the impact of a leadership intervention in community nursing on implementing recommendations from a clinical guideline on the nursing assessment and management of diabetic foot ulcers. Methods Two phase mixed methods design is proposed (ISRCTN 12345678). Phase I: Descriptive qualitative to understand barriers to implementing the guideline recommendations, and to inform the intervention. Phase II: Matched pair cluster randomized controlled trial (n = 4 centers) will evaluate differences in outcomes between two implementation strategies. Primary outcome: Nursing assessments of client risk factors, a composite score of 8 items based on Diabetes/Foot Ulcer guideline recommendations. Intervention: In addition to the organization's 'usual' implementation strategy, a 12 week leadership strategy will be offered to managerial and clinical leaders consisting of: a) printed materials, b) one day interactive workshop to develop a leadership action plan tailored to barriers to support implementation; c) three post-workshop teleconferences. Discussion This study will provide vital information on which leadership strategies are well received to facilitate and support guideline implementation. The anticipated outcomes will provide information to assist with effective management of foot ulcers for people with diabetes. By tracking clinical outcomes associated with guideline implementation, health care administrators will be better informed to influence organizational and policy decision-making to support evidence-based quality care. Findings will be useful to inform the design of future multi-centered trials on various clinical topics to enhance knowledge translation for positive outcomes. Trial Registration Current Control Trials ISRCTN0691089

    The European Center of Science Productivity: Research Universities and Institutes in France, Germany, and the United Kingdom

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    Growth in scientific productivity over the 20th century resulted significantly from three major countries in European science—France, Germany, and the United Kingdom. We chart the development of universities and research institutes that bolster Europe’s key position in global science. We uncover both stable and dynamic patterns of productivity in the fields of STEM, including health, over the twentieth century. On-going internationalization of higher education and science has been accompanied by increasing competition and collaboration. Despite policy goals to foster innovation and expand research capacity, policies cannot fully account for the differential growth of scientific productivity we chart from 1975 to 2010. Our neoinstitutional framework facilitates explanation of differences in institutional settings, organizational forms, and organizations that produce the most European research. We measure growth of published peer-reviewed articles indexed in Thomson Reuters’ Science Citation Index Expanded (SCIE). Organizational forms vary in their contributions, with universities accounting for nearly half but rising in France; ultrastable in Germany at four-fifths, and growing at around two-thirds in the UK. Differing institutionalization pathways created the conditions necessary for continuous, but varying growth in scientific productivity in the European center of global science. The research university is central in all three countries, and we identify organizations leading in research output. Few analyses explicitly compare across time, space, and different levels of analysis. We show how important European science has been to overall global science productivity. In-depth comparisons, especially the organizational fields and forms in which science is produced, are crucial if policy is to support research and development
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