59 research outputs found

    Schools as Systems of Care Supporting Mental Wellness in Schools: Teacher Perceptions and Roles

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    Schools lack a response system for effectively supporting student mental health needs and there is a substantial research to practice gap in this area. To better understand how to build capacity for schools, with and through teachers, the purpose of this study was to examine teachers\u27 perceptions of current mental health needs in their schools; their knowledge and competencies about mental health issues as well as perceived competencies and barriers that contribute to burnout. Participants included 20 teachers from two local Pittsburgh area Catholic schools. Teachers reported they believe it is their job to support middle school student mental wellness and confidence in their abilities but that they are lacking the necessary professional development and training and supervision to provide this support

    The lived experience of working with female patients in a high secure hospital

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    Women’s secure hospitals are often considered to be stressful and demanding places to work, with these environments characterised as challenging and violent. The staff experience of working in this environment is however not well represented in the literature. This study is the first to examine the ‘lived experience’ of seven nurses working in the National High Secure Healthcare Service for Women. Interview transcripts were analysed with the use of Interpretative Phenomenological Analysis, and the findings presented within four superordinate themes ‘horror’, ‘balancing acts’, ‘emotional hard labour’, and ‘the ward as a community’. These themes all depict the challenges that participants experience in their work, the ways in which they cope with these challenges and how they make sense of these experiences. A meta-theme of ‘making sense by understanding why’ is also presented, which represents the importance for participants to attempt to make sense of the tensions and challenges by formulating a fuller meaning. The findings suggest the importance of workforce development, in terms of allowing sufficient protected time for reflection and formulation (for example within the format of group supervision or reflective practice), and for staff support mechanisms (e.g. clinical supervision, counselling, debriefs) to be inbuilt into the ethos of a service, so as to provide proactive support for staff ‘on the frontline’

    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 hospitalization2–4 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

    Consistency of satellite climate data records for Earth system monitoring

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    Climate Data Records (CDRs) of Essential Climate Variables (ECVs) as defined by the Global Climate Observing System (GCOS) derived from satellite instruments help to characterize the main components of the Earth system, to identify the state and evolution of its processes, and to constrain the budgets of key cycles of water, carbon and energy. The Climate Change Initiative (CCI) of the European Space Agency (ESA) coordinates the derivation of CDRs for 21 GCOS ECVs. The combined use of multiple ECVs for Earth system science applications requires consistency between and across their respective CDRs. As a comprehensive definition for multi-ECV consistency is missing so far, this study proposes defining consistency on three levels: (1) consistency in format and metadata to facilitate their synergetic use (technical level); (2) consistency in assumptions and auxiliary datasets to minimize incompatibilities among datasets (retrieval level); and (3) consistency between combined or multiple CDRs within their estimated uncertainties or physical constraints (scientific level). Analysing consistency between CDRs of multiple quantities is a challenging task and requires coordination between different observational communities, which is facilitated by the CCI program. The inter-dependencies of the satellite-based CDRs derived within the CCI program are analysed to identify where consistency considerations are most important. The study also summarizes measures taken in CCI to ensure consistency on the technical level, and develops a concept for assessing consistency on the retrieval and scientific levels in the light of underlying physical knowledge. Finally, this study presents the current status of consistency between the CCI CDRs and future efforts needed to further improve it

    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

    Homogenisation of structural breaks in the global ESA CCI Soil Moisture multi-satellite climate data record

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