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Emerg Med J ; 36(12): 748-753, 2019 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-31678931

RESUMO

OBJECTIVES: This study aimed to assess the pattern of use of EDs, factors contributing to the visits, geographical distribution and outcomes in people aged 65 years or older to a large hospital in Dublin. METHODS: A retrospective analysis of 2 years of data from an urban university teaching hospital ED in the southern part of Dublin was reviewed for the period 2014-2015 (n=103 022) to capture the records of attenders. All ED presentations by individuals 65 years and older were extracted for analysis. Address-matched records were analysed using QGIS, a geographic information systems (GIS) analysis and visualisation tool to determine straight-line distances travelled to the ED by age. RESULTS: Of the 49 538 non-duplicate presentations in the main database, 49.9% of the total are women and 49.1% are men. A subset comprised of 40 801 had address-matched records. When mapped, the data showed a distinct clustering of addresses around the hospital site but this clustering shows different patterns based on age cohort. Average distances travelled to ED are shorter for people 65 and older compared with younger patients. Average distances travelled for those aged 65-74 was 21 km (n=4177 presentations); for the age group 75-84, 18 km (n=2518 presentations) and 13 km for those aged 85 and older (n=2104 presentations). This is validated by statistical tests on the clustered data. Self-referral rates of about 60% were recorded for each age group, although this varied slightly, not significantly, with age. CONCLUSIONS: Health planning at a regional level should account for the significant number of older patients attending EDs. The use of GIS for health planning in particular can assist hospitals to improve their understanding of the origin of the cohort of older ED patients.


Assuntos
Serviço Hospitalar de Emergência/estatística & dados numéricos , Sistemas de Informação Geográfica/estatística & dados numéricos , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricos , Regionalização da Saúde/métodos , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Feminino , Geografia , Hospitais de Ensino/estatística & dados numéricos , Hospitais Urbanos/estatística & dados numéricos , Humanos , Irlanda , Masculino , Pessoa de Meia-Idade , Encaminhamento e Consulta , Estudos Retrospectivos
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