https://www.socictopen.socict.org/files/original/12143a0970d4031c19aea8b596545795.pdf 64c22cecc3db9c3572cbf09403773c9f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Variability in COVID-19 in-hospital mortality rates between national health service trusts and regions in England: A national observational study for the Getting It Right First Time Programme. Creator An entity primarily responsible for making the resource William K. Gray, Jamie Day, Pratusha Babu, Shona Mackinnon, Ini Adelaja, Sam Bartlett-Pestell, Chris Moulton, Cliff Mann, Anna Batchelor, Michael Swart, Chris Snowden, Philip Dyer, Michael Jones, Martin Allen, Adrian Hopper, Gerry Rayman, Partha Kar, Andrew Wheeler, Sue Eve-Jones, Kevin J Fong, John T Machin, Julia Wendon, Annakan V Navaratnam, Tim W R Briggs Description An account of the resource A key first step in optimising COVID-19 patient outcomes during future case-surges is to learn from the experience within individual hospitals during the early stages of the pandemic. The aim of this study was to investigate the extent of variation in COVID-19 outcomes between National Health Service (NHS) hospital trusts and regions in England using data from March-July 2020. This was a retrospective observational study using the Hospital Episode Statistics administrative dataset. Patients aged ≥ 18 years who had a diagnosis of COVID-19 during a hospital stay in England that was completed between March 1st and July 31st, 2020 were included. In-hospital mortality was the primary outcome of interest. In secondary analysis, critical care admission, length of stay and mortality within 30 days of discharge were also investigated. Multilevel logistic regression was used to adjust for covariates. There were 86,356 patients with a confirmed diagnosis of COVID-19 included in the study, of whom 22,944 (26.6%) died in hospital with COVID-19 as the primary cause of death. After adjusting for covariates, the extent of the variation in-hospital mortality rates between hospital trusts and regions was relatively modest. Trusts with the largest baseline number of beds and a greater proportion of patients admitted to critical care had the lowest in-hospital mortality rates. There is little evidence of clustering of deaths within hospital trusts. There may be opportunities to learn from the experience of individual trusts to help prepare hospitals for future case-surges. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource coronavirus, mortality, covid-19, variability, Unwarranted Variation Identifier An unambiguous reference to the resource within a given context 10.1016/j.eclinm.2021.100859 Source A related resource from which the described resource is derived EClinicalMedicine