Observational studyBMC public health2021
Ethnic inequalities in hospital admissions in England: an observational study.
Observational study in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Article
- Variation in multimorbidity estimates due to clinical coding: a cross-sectional study of 7.2 million adults in England.BMJ public health · 2026Article
- Assessing cultural awareness and competency in nursing education: A cross-sectional study of undergraduate nursing students in Ireland.PloS one · 2026Article
- Inequalities and indoor air pollution: a prospective observational study of particulate matter (PMBMC public health · 2025Observational
- Ethnic Disparities in Extrahepatic Manifestations Among People With HCV Infection: A Population-Based Study in British Columbia.Open forum infectious diseases · 2025Article
- Understanding Inclusion and Participation of People From Black African Diaspora Communities in Health and Care Research: A Realist Review.Health expectations : an international journal of public participation in health care and health policy · 2025Review
- Chest pain in a multi-ethnic population: A community-based study on sex differences in chest pain prevalence and care contacts.International journal of cardiology. Cardiovascular risk and prevention · 2025Article
- Ethnicity and outcomes for patients with gastrointestinal disorders attending an emergency department serving a multi-ethnic population.BMC medicine · 2024Article
- Racism against healthcare users in inpatient care: a scoping review.International journal for equity in health · 2024Article
- Comparing indicators of disease severity among patients presenting to hospital for urinary tract infections before and during the COVID-19 pandemic.JAC-antimicrobial resistance · 2024Article
- Article
- Evaluating Ethnic Variations in the Risk of Infections in People With Prediabetes and Type 2 Diabetes: A Matched Cohort Study.Diabetes care · 2023Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEthnic inequalities in health are well-known and partly explained by social determinants such as poorer living and working conditions, health behaviours, discrimination, social exclusion, and healthcare accessibility factors. Inequalities are known both for self-reported health and for diseases such as diabetes, cardiovascular diseases, respiratory diseases, and non-specific chest pains. Most studies however concern individual diseases or self-reported health and do not provide an overview that can detect gaps in existing knowledge. The aim of this study is thus to identify ethnic inequalities in inpatient hospital admission for all major disease categories in England.
methodsObservational study of the inpatient hospital admission database in England enhanced with ethnicity coding of participants' surnames. The primary diagnosis was coded to Level 1 of the Global Burden of Disease groups. For each year, only the first admission for each condition for each participant was included. If a participant was readmitted within two days only the first admission was counted. Admission risk for all major disease groups for each ethnic group relative to the White British group were calculated using logistic regression adjusting for age and area deprivation.
results40,928,105 admissions were identified between April 2009 and March 2014. Ethnic inequalities were found in cardiovascular diseases, respiratory diseases, chest pain, and diabetes in line with previous studies. Additional inequalities were found in nutritional deficiencies, endocrine disorders, and sense organ diseases.
conclusionsThe results of this study were consistent with known inequalities, but also found previously unreported disparities in nutritional deficiencies, endocrine disorders, and sense organ diseases. Further studies would be required to map out the relevant care pathways for ethnic minorities and establish whether preventive measures can be strengthened.
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