Mapping inequalities in dementia diagnosis in England: a Bayesian spatial analysis of disease prevalence and case ascertainment

Background: By 2030, over one million people in the UK are projected to be living with dementia; however, the NHS estimates that only approximately 65% of individuals with dementia currently receive a formal diagnosis. Understanding the geographic and socioeconomic factors contributing to variation in diagnosis is essential for reducing inequalities in dementia care. Methods: We developed a Bayesian spatial modelling framework to separate underlying dementia prevalence from case ascertainment using routinely collected public datasets at Local Authority District (LAD) level across England. Unde

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