BackgroundHealth inequalities in the UK have been brought to the forefront of public health concerns, especially disparities in life expectancy and health quality of socioeconomically deprived and minority ethnic populations. This study systematically examined the incidence and prevalence of 275 chronic conditions which present in UK primary care, describing inequalities across diverse population subgroups. MethodsWe conducted a population-based retrospective cohort and cross-sectional study using primary care data from Clinical Practice Research Datalink Gold (986 general practices), from Jan 1, 2006 to Dec 31, 2023. We studied chronic conditions responsible for over 10 000 days of hospital activity. Incidence and prevalence estimates were calculated annually, stratified by sex, age, ethnicity (UK high-level), and GP practice deprivation, and standardised using UK mid-year population estimates for 2021. We used statistical process control to describe variation and identify outlier conditions in population subgroups. A public dashboard was created to explore the outputs. FindingsThe study included 13 419 645 participants. Hypertension was the most prevalent condition in 2019 (22·47%). Black, Asian, Others, and Mixed had over 30% lower chance of any given diagnosis than overall population. Depression showed a gradient of increasing prevalence with increasing deprivation, but for actinic keratosis, a condition associated with sun exposure, prevalence increased in less deprived populations. In a cardiometabolic conditions deep dive, minority groups had increased diabetes prevalence, but lower rates of myocardial infarction. InterpretationThis study provides a crucial resource for addressing health disparities in the UK. Lower prevalence in Black, Asian, and Mixed ethnicities is likely to be underdiagnosis and not a 30% lower disease prevalence, highlighting an urgent need across many conditions for tailored healthcare strategies to ensure equitable diagnosis and treatment access. Detailed population breakdowns in this dataset generates insight that can guide the development of more inclusive health policies, ultimately reducing health inequalities and improving public health outcomes. FundingNone.
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