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dc.contributor.authorWood, RM
dc.contributor.authorHarper, AL
dc.contributor.authorOnen-Dumlu, Z
dc.contributor.authorForte, PG
dc.contributor.authorPitt, M
dc.contributor.authorVasilakis, C
dc.date.accessioned2023-01-10T10:30:38Z
dc.date.issued2022-12-18
dc.date.updated2023-01-10T09:56:23Z
dc.description.abstractBackground It is a stated ambition of many healthcare systems to eliminate delayed transfers of care (DTOCs) between acute and step-down community services. Objective This study aims to demonstrate how, counter to intuition, pursual of such a policy is likely to be uneconomical, as it would require large amounts of community capacity to accommodate even the rarest of demand peaks, leaving much capacity unused for much of the time. Methods Some standard results from queueing theory—a mathematical discipline for considering the dynamics of queues and queueing systems—are used to provide a model of patient flow from the acute to community setting. While queueing models have a track record of application in healthcare, they have not before been used to address this question. Results Results show that ‘eliminating’ DTOCs is a false economy: the additional community costs required are greater than the possible acute cost saving. While a substantial proportion of DTOCs can be attributed to inefficient use of resources, the remainder can be considered economically essential to ensuring cost-efficient service operation. For England’s National Health Service (NHS), our modelling estimates annual cost savings of £117m if DTOCs are reduced to the 12% of current levels that can be regarded as economically essential. Conclusion This study discourages the use of ‘zero DTOC’ targets and instead supports an assessment based on the specific characteristics of the healthcare system considered.en_GB
dc.description.sponsorshipHealth Data Research UKen_GB
dc.format.extent1-9
dc.format.mediumPrint-Electronic
dc.identifier.citationPublished online 18 December 2022en_GB
dc.identifier.doihttps://doi.org/10.1007/s40258-022-00777-2
dc.identifier.grantnumberCFC0129en_GB
dc.identifier.urihttp://hdl.handle.net/10871/132204
dc.identifierORCID: 0000-0001-5274-5037 (Harper, Alison L)
dc.identifierScopusID: 57194533005 (Harper, Alison L)
dc.identifierORCID: 0000-0003-4026-8346 (Pitt, Martin)
dc.language.isoenen_GB
dc.publisherSpringeren_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/36529825en_GB
dc.rights© The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/en_GB
dc.titleThe False Economy of Seeking to Eliminate Delayed Transfers of Care: Some Lessons from Queueing Theoryen_GB
dc.typeArticleen_GB
dc.date.available2023-01-10T10:30:38Z
dc.identifier.issn1175-5652
exeter.place-of-publicationNew Zealand
dc.descriptionThis is the final version. Available on open access from Springer via the DOI in this recorden_GB
dc.identifier.eissn1179-1896
dc.identifier.journalApplied Health Economics and Health Policyen_GB
dc.relation.ispartofAppl Health Econ Health Policy
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_GB
dcterms.dateAccepted2022-11-22
dc.rights.licenseCC BY-NC
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-12-18
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-01-10T10:28:15Z
refterms.versionFCDVoR
refterms.dateFOA2023-01-10T10:30:41Z
refterms.panelAen_GB
refterms.dateFirstOnline2022-12-18


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© The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/
Except where otherwise noted, this item's licence is described as © The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/