
NHS Education for Scotland (NES)
NHS Education for Scotland (NES)
2 Projects, page 1 of 1
assignment_turned_in Project2020 - 2022Partners:NHS Education for Scotland, University of Strathclyde, NHS Tayside, NHS Tayside, NHS Education for Scotland (NES) +2 partnersNHS Education for Scotland,University of Strathclyde,NHS Tayside,NHS Tayside,NHS Education for Scotland (NES),NHS Education for Scotland (NES),University of StrathclydeFunder: UK Research and Innovation Project Code: AH/V013017/1Funder Contribution: 155,032 GBPIn order to deliver business as normal performance, healthcare care providers will need to reconfigure almost all services (many currently in abeyance) to accommodate the future challenges of covid-19 (For example; pulsed lock-downs, isolation of the vulnerable, new testing & tracing regimes, disrupted supply chains, new working practices & new spatial demands on facilities). Quality Improvement (QI) approaches currently provide a research informed framework of tools for local innovation in healthcare. A wide variety of QI tools currently support NHS QI work, drawn from sectors like manufacturing. Over the last 12 months NHS Tayside has integrated a services of additional QI tools based on Service Design into its QI Programmes. These design approaches work alongside established QI tools to map the service-user (patient) perspective. This proposal describes the development of an online QI tool that will support the challenge of mapping, evaluating and reconfiguring services that take account of the evolving risks & challenges of COVID-19. NHS Tayside will provide the platform for tool development, NHS Education for Scotland (NES) will provide specialist QI guidance & access to wide networks for dissemination. UoStrathclyde will provide service design research expertise. Development will involve: capturing lessons learnt from recently established COVID-19 pathways, integration of proven service design tools with established risk management tools, collation of research into COVID-19 risks and mitigations, synthesis and testing of tool templates and development of online training to deliver the new tool in a QI context. Tool effectiveness will be evaluated. Knowledge gained will be valuable and widely transferable to other service sectors within the service economy, challenged with redesigning & implementing COVID-19 mitigations.
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2021 - 2022Partners:DHSC, Public Health Wales, NTU, Public Health Wales, NHS Education for Scotland +6 partnersDHSC,Public Health Wales,NTU,Public Health Wales,NHS Education for Scotland,PHE,University of Nottingham,Public Health England,NHS Education for Scotland (NES),PUBLIC HEALTH ENGLAND,NHS Education for Scotland (NES)Funder: UK Research and Innovation Project Code: AH/V015125/1Funder Contribution: 365,126 GBPDeveloped in partnership with Public Health England, Public Health Wales and NHS Education for Scotland, this bid addresses key challenges that the coronavirus pandemic presents in relation to understanding the flow and impact of public health messages as reflected in public and private discourses. Our collaborators above who are charged with constructing effective public health messages have identified two particular challenges: messaging around geographical borders (e.g. between England and Wales, and in local lockdowns) and messaging aimed at BAME populations. These areas will be the focus of our research, and we will deliver benefits to our collaborators in the form of initial analytical results and discussion from month 2 onwards. As human behaviour is shaped by the reception and production of discourse, and by the reasoning about different sources of information, we propose a new approach to track the trajectories of public health messages once they are released to the public. Moving beyond corpus linguistic approaches that focus on language production, we will investigate the complex relationship between the production and the reception of discourses relating to specific types of public health messages, focusing on linguistic patterns (in particular modality and stance markers). Drawing on our track record in the construction and analysis of heterogenous corpora and our ongoing work on privacy enhancing technologies, we propose to carry out the first large scale analysis of the trajectories of public health messages relating to the coronavirus pandemic in the UK.
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