Calastri, C., Buckell, J. and Crastes dit Sourd, R. orcid.org/0000-0003-4506-2910 (2025) Avoidable visits to UK emergency departments from the patient perspective: A recursive bivariate probit approach. Health Policy, 154. 105265. ISSN 0168-8510
Abstract
Unsustainably high numbers of patients attending emergency departments (ED) is a serious issue worldwide, with consequences for the quality and timeliness of emergency care. Avoidable visits, i.e. unnecessary or that should be dealt with elsewhere, exacerbate this issue. Most studies focussed on avoidable attendances use clinical data collected by hospital staff, while this study relies on survey data collected from patients asked to recall their last ED attendance and reflect on its necessity. We apply a Recursive Bivariate Probit model to quantify the factors affecting patients' perception of an ED visit being avoidable (or not), unveiling how it relates to socio-demographic and contextual factors. We find that patients who do not trust their General Practitioner (GP) are less likely to think their ED visit was avoidable. The perception of whether an ED visit was avoidable is also associated with symptoms experienced, patients’ ethnicity and waiting time for a GP appointment.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY-NC-ND 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Emergency department; ED; GP; General practitioner; Unnecessary attendance; Avoidable attendance; Avoidable visits |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) The University of Leeds > Faculty of Business (Leeds) > Analytics, Technology & Ops Department |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Mar 2025 11:55 |
Last Modified: | 20 Mar 2025 11:55 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.healthpol.2025.105265 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:224652 |