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A Picture of Health: determining the core population served by an urban NHS hospital trust and understanding the key health needs
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Hospital catchment populations_RESUBMISSION_TRACKED_FINAL.docx | Accepted version | 107.36 kB | Microsoft Word | View/Open |
Title: | A Picture of Health: determining the core population served by an urban NHS hospital trust and understanding the key health needs |
Authors: | Beaney, T Clarke, J Grundy, E Coronini-Cronberg, S |
Item Type: | Journal Article |
Abstract: | Background: NHS hospitals do not have clearly defined geographic populations to whom they provide care, with patients able to attend any hospital. Identifying a core population for a hospital trust, particularly those in urban areas where there are multiple providers and high population churn, is critical to understanding local key health needs especially given the move to integrated care systems. This can enable effective planning and delivery of preventive interventions and community engagement, rather than simply treating those presenting to services. In this article we describe a practical method for identifying a hospital’s catchment population based on where potential patients are most likely to reside, and describe that population’s size, demographic and social profile, and the key health needs. Methods: A 30% proportional flow method was used to identify a catchment population using an acute trust in West London as an example. Records of all hospital attendances between 1st April 2017 and 31st March 2018 were analysed using Hospital Episode Statistics. Any Lower Layer Super Output Areas where 30% or more of residents who attended any hospital for care did so at the example trust were assigned to the catchment area. Publicly available local and national datasets were then applied to identify and describe the population’s key health needs. Results: A catchment comprising 617,709 people, of an equal gender-split (50.4% male) and predominantly working age (15 to 64 years) population was identified. 39.6% of residents identify as being from Black and Minority Ethnic (BAME) groups, a similar proportion that report being born abroad, and over 85 languages are spoken. Health indicators were estimated, including: a healthy life expectancy difference of over twenty years; bowel cancer screening coverage of 48.8%; chlamydia diagnosis rates of 2,136 per 100,000; prevalence of visible dental decay among five-year-olds of 27.9%. Conclusions: We define a blueprint by which a catchment can be defined for a hospital trust and demonstrate the value a hospital-view of the local population could provide in understanding of local health needs and enabling population-level health improvement interventions. While an individual approach allows tailoring to local context and need, there could be an efficiency saving were such public health information made routinely and regularly available for every NHS hospital. |
Issue Date: | 12-Jan-2022 |
Date of Acceptance: | 2-Dec-2021 |
URI: | http://hdl.handle.net/10044/1/93178 |
DOI: | 10.1186/s12889-021-12373-5 |
ISSN: | 1471-2458 |
Publisher: | BioMed Central |
Journal / Book Title: | BMC Public Health |
Volume: | 22 |
Copyright Statement: | © The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
Sponsor/Funder: | National Institute for Health Research Applied Research Collaboration North West London Wellcome Trust National Institute of Health and Medical Research |
Funder's Grant Number: | UNS81609 - 215938/Z/19/Z NIHR200180 |
Keywords: | Public Health 1117 Public Health and Health Services |
Publication Status: | Published |
Appears in Collections: | Applied Mathematics and Mathematical Physics Faculty of Medicine Institute of Global Health Innovation School of Public Health Faculty of Natural Sciences Mathematics |
This item is licensed under a Creative Commons License