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dc.contributor.authorCrowe, S
dc.contributor.authorGrieco, L
dc.contributor.authorMonks, T
dc.contributor.authorKeogh, B
dc.contributor.authorPenn, M
dc.contributor.authorClancy, M
dc.contributor.authorElkhodair, S
dc.contributor.authorVindrola-Padros, C
dc.contributor.authorFulop, NJ
dc.contributor.authorUtley, M
dc.date.accessioned2023-04-21T13:46:50Z
dc.date.issued2023-04-18
dc.date.updated2023-04-21T13:10:35Z
dc.description.abstractOvercrowding affects hospital emergency departments (ED) worldwide. Most OR studies addressing overcrowding develop bespoke models to explore potential improvements but ignore the organisational context in which they would be implemented, and few influence practice. There is interest in whether reusable models, for ED crowding and in healthcare generally, could have more impact. We developed a configurable approach for tackling ED overcrowding. A reusable queuing model for exploring drivers of ED performance was augmented by a qualitative approach for exploring the implementation context and a generic framework for assessing the likely compatibility of interventions with a given organisation. At the hospital where the approach was developed it directly informed strategy. We describe reuse of the approach at three hospitals. One project was completed and well-received by hospital management, two were terminated partway when data problems surfaced. The primary contribution of this work is its novelty in considering, alongside modelling, evidence-based interventions to overcrowding and qualitative assessment of a hospital’s aptitude and capability to adopt different interventions. A secondary contribution is to further the debate on model reuse, in particular by introducing more complex, modelling-centred approaches that acknowledge how models must relate to tangible interventions with reasonable prospects of being adopted locally.en_GB
dc.description.sponsorshipUniversity College London Hospitals (UCLH) NHS Foundation Trusten_GB
dc.description.sponsorshipNIHR CLAHRC South West Peninsulaen_GB
dc.description.sponsorshipNIHR CLAHRC Wessexen_GB
dc.description.sponsorshipNIHRen_GB
dc.format.extent1-16
dc.identifier.citationPublished online 18 April 2023en_GB
dc.identifier.doihttps://doi.org/10.1080/01605682.2023.2199094
dc.identifier.urihttp://hdl.handle.net/10871/132965
dc.identifierORCID: 0000-0003-2631-4481 (Monks, Tom)
dc.identifierScopusID: 55335012000 (Monks, Tom)
dc.language.isoenen_GB
dc.publisherTaylor & Francisen_GB
dc.rights.embargoreasonUnder embargo until 18 April 2024 in compliance with publisher policyen_GB
dc.rights© 2023 Informa UK Limiteden_GB
dc.subjectPractice of ORen_GB
dc.subjectHealth servicesen_GB
dc.subjectQueuingen_GB
dc.titleHere’s something we prepared earlier: Development, use and reuse of a configurable, inter-disciplinary approach for tackling overcrowding in NHS hospitalsen_GB
dc.typeArticleen_GB
dc.date.available2023-04-21T13:46:50Z
dc.identifier.issn0160-5682
dc.descriptionThis is the author accepted manuscript. The final version is available from Taylor & Francis via the DOI in this record en_GB
dc.identifier.eissn1476-9360
dc.identifier.journalJournal of the Operational Research Societyen_GB
dc.relation.ispartofJournal of the Operational Research Society
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2022-07-04
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2023-04-18
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-04-21T13:42:31Z
refterms.versionFCDAM
refterms.panelAen_GB
refterms.dateFirstOnline2023-04-18


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