• Emerg Med Australas · Apr 2024

    Clinical and longitudinal patterns of frequent presenters to emergency departments: A multi-centre data linkage analysis.

    • Dorota Stanford, Michael M Dinh, John G Eastwood, Viola Korczak, Radhika V Seimon, Corey Moore, Hueiming Liu, and Kendall J Bein.
    • Royal Prince Alfred Hospital, Sydney Local Health District, Sydney, New South Wales, Australia.
    • Emerg Med Australas. 2024 Apr 1; 36 (2): 277282277-282.

    ObjectiveTo describe clinical characteristics and longitudinal patterns of representation in a cohort of patients who frequently present to EDs for care.MethodsA retrospective data analysis linking routinely collected ED data across three hospitals. The study population consisted of patients who presented to any ED on 10 or more occasions in any continuous 365-day period from 1 July 2015 to 30 June 2021. Presenting complaints were divided into those with any mental health, drug and alcohol, or social presentations (MHDAS group) and those without (non-MHDAS group). Outcomes of interest were number of presentations as well as temporal and facility clustering of presentations. A per patient regression analysis was performed to identify independent risk factors for increased presentations.ResultsPresentations by 1640 frequent ED presenters in the study constituted 4.6% of total ED presentations. MHDAS study group were younger, predominantly English speaking, twice as likely to be married, had lower hospital admission rates and almost three times as many of them did not wait for treatment. Statistically significant differences were also found between these groups regarding presentation clustering, facility entropy, each of the four categories of the number of ED presentations, and Index of Relative Socio-Economic Advantage and Disadvantage.ConclusionRepresentations associated with MHDAS have a different trajectory of representation episodes compared to non-MHDAS group. Escalating number of presentations and clustering are important predictors of future representation numbers. Those 'did not waits' who appear to be representing would be the highest risk of ongoing and persistent representations in the future and should be the target of early interventions to ensure they are accessing appropriate care before this happens.© 2024 Australasian College for Emergency Medicine.

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