Understanding health inequalities through emergency department walk-in data Article Swipe
Christopher Johnes
,
Trevor Smith
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.fhj.2024.100117
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.fhj.2024.100117
Introduction: Emergency Departments are under considerable pressure, with the number of attendances increasing alongside a considerable backlog of patients waiting for treatment. Across England, A&E attendances and emergency admissions in October 2023 were 1.4% higher than the same period the previous year.1 These pressures exacerbate existing inequalities as people from more deprived backgrounds wait longer, and those from ethnic minority backgrounds are more likely to access care late.2 The aim of this project was to understand what inequalities existed in use and access to the Emergency Department at Southampton General Hospital. Materials and methods: This study conducts analysis of cross-sectional data from 139,356 walk-ins from 98,726 independent patients to Southampton General Hospital Emergency Department (ED) between 1 January 2022 and 30 April 2023. Demographic data was analysed alongside ED specific coding for attendance reason, referral source, Emergency Care Data Set (ECDS) codes, discharge diagnosis, admission flags and pre-existing conditions using the Charlson Comorbidity Index. Data analysis was carried out in Excel. Results and discussion: Almost a third of all walk-ins to the Emergency Department (28%) were aged 0–15 and attendance was similar across each of the deprivation deciles and comparable to the local population. 33% of all walk-ins were from patients registered with 10 GP practices in the Southampton area, and 6 of the 10 practices were in the 20% most deprived areas. 32% of walk-ins were referred by a GP or healthcare provider (n= 44,750). Ethnic groups other than White British and those from more deprived areas were less likely to be referred to the Emergency Department by a GP or healthcare provider. When comparing to local population data, women from Black or Asian backgrounds were more likely to present to the Emergency Department with pregnancy related problems than women from other ethnic backgrounds. Analysis showed no relationship between Charlson Comorbidity Index score and number of ED visits. No link was noted between Charlson score and IMD Decile or the probability of being admitted. Conclusion: In times of increased pressure across primary and secondary care, it is important to consider whether patients are attending the most appropriate site for their care and whether there are inequalities in access and outcomes. This project is a starting point to understanding who is accessing services in the Emergency Department at Southampton General Hospital. Work is now continuing with relevant departments in the hospital and with partners in the local area to gain further understanding of any inequalities that exist within the system.
Related Topics
Concepts
Emergency department
Medicine
Attendance
Referral
Ethnic group
Decile
Social deprivation
Inequality
Population
Triage
Medical emergency
Emergency medicine
Family medicine
Demography
Environmental health
Nursing
Economic growth
Statistics
Sociology
Economics
Anthropology
Mathematical analysis
Mathematics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.fhj.2024.100117
- OA Status
- diamond
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4395067030
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4395067030Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.fhj.2024.100117Digital Object Identifier
- Title
-
Understanding health inequalities through emergency department walk-in dataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-01Full publication date if available
- Authors
-
Christopher Johnes, Trevor SmithList of authors in order
- Landing page
-
https://doi.org/10.1016/j.fhj.2024.100117Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.fhj.2024.100117Direct OA link when available
- Concepts
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Emergency department, Medicine, Attendance, Referral, Ethnic group, Decile, Social deprivation, Inequality, Population, Triage, Medical emergency, Emergency medicine, Family medicine, Demography, Environmental health, Nursing, Economic growth, Statistics, Sociology, Economics, Anthropology, Mathematical analysis, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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