A picture of health: determining the core population served by an urban NHS hospital trust and understanding the key health needs

Author:

Beaney ThomasORCID,Clarke Jonathan M.ORCID,Grundy Emily,Coronini-Cronberg Sophie

Abstract

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 essential 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 hospital 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. Thirty nine point six percent of residents identified as being from Black and Minority Ethnic (BAME) groups, a similar proportion that reported being born abroad, with over 85 languages 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 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.

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health

Reference30 articles.

1. Dardanoni V, Laudicella M, Li Donni P, Donni PL. Hospital choice in the NHS. 2018. http://www.york.ac.uk/economics/postgrad/herc/hedg/wps/. Accessed 18 Oct 2020.

2. Cookson R, Propper C, Asaria M, Raine R. Socio-economic inequalities in health care in England. Fisc Stud. 2016;37:371–403. https://doi.org/10.1111/j.1475-5890.2016.12109.

3. Arora S, Cheung CR, Sherlaw-Johnson C, Hargreaves DS. Use of age-specific hospital catchment populations to investigate geographical variation in inpatient admissions for children and young people in England: retrospective, cross-sectional study. BMJ Open. 2018;8:22339. https://doi.org/10.1136/bmjopen-2018-022339.

4. Local Government Association. Shifting the centre of gravity: making place-based, person-centred health and care a reality. 2018.

5. Perry J. Hospital Trust Catchment populations: a denominator to support commissioning decisions through understanding the population likely to draw on a hospital’s services. 2017. PHE ePoster Library. 2017. https://phe.multilearning.com/phe/2017/eposters/186476/james.perry.hospital.trust.catchment.populations.a.denominator.to.support.html. Accessed 20 Oct 2020.

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