Journal of evaluation in clinical practice
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RATIONALE, AIMS AND OBJECTIVES: The development of clinical practice guidelines (CPG) suffers from the lack of an explicit and transparent framework for synthesising the key elements necessary to formulate practice recommendations. We matched deliberations of the American Society of Haematology (ASH) CPG panel for the management of pulmonary embolism (PE) with the corresponding decision-theoretical constructs to assess agreement of the panel recommendations with explicit decision modelling. ⋯ CPG panels rely on various decision-theoretical strategies to develop its recommendations. Decomposing CPG panels' deliberation can provide insights if the panels' deliberation retains a necessary coherence in developing guidelines. CPG recommendations often do not agree with the EUT decision analysis, widely used in medical decision-making modelling.
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The disciplinary profile and the quality of production of knowledge on Corona pandemic is studied. This scientific field is called 'Medical Corona Science'. ⋯ We suggest a deeper meta-scientific discussion of the epistemic value of MCS and propose the application of tools from systems science.
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There is growing scientific interest in immunity mandates/passports (IMP) for viral diseases in light of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. IMP isolate those who remain nonimmune from various settings to reduce nonhousehold transmissions from the nonimmune and reduce severe/critical illness among the nonimmune. ⋯ We use data from the SARS-CoV-2 pandemic to demonstrate the properties and utility of the NNI and to inform the debate about IMP. We focus on data from the European Union, United Kingdom, United States, Canada, Australia, and Israel during the fall 2021 when the Delta (B.1.617.2) variant predominated.
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Is data-driven analysis sufficient for understanding the COVID-19 pandemic and for justifying public health regulations? In this paper, we argue that such analysis is insufficient. Rather what is needed is the identification and implementation of over-arching hypothesis-related and/or theory-based rationales to conduct effective SARS-CoV2/COVID-19 (Corona) research. ⋯ For this reason, we propose nested and integrative systemic modelling approaches to understand Corona pandemic and Corona pathology. We conclude that institutional efforts for knowledge integration and systemic thinking, but also for integrated science, are urgently needed to avoid or mitigate future pandemics and to resolve infection pathology.
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Coronavirus (COVID-19)-related stressors precipitated the mental health crisis and increased substance use in Canada and worldwide. As the pandemic continues to evolve, monitoring and updating substance use-related ED visit trends is essential to ensure the stability and quality of ED services under the prolonged pandemic timeline. ⋯ Our findings indicate unmet substance use treatment needs due to the limited accessibility and heightened threshold for ED visits during the pandemic. Providing access to substance treatment/programs outside ED is critical to reducing substance use-related complications presenting in the ED. Also, policies addressing the pandemic-related complexities in the ED and Health Human Resource challenges are warranted.