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Differences in all-cause hospitalisation by ethnic group: a data linkage cohort study of 4.62 million people in Scotland, 2001-2013.
Gruer, L D; Millard, A D; Williams, L J; Bhopal, R S; Katikireddi, S V; Cézard, G I; Buchanan, D; Douglas, A F; Steiner, M F C; Sheikh, A.
Afiliação
  • Gruer LD; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK. Electronic address: gruer.health@gmail.com.
  • Millard AD; Public Health Science Directorate, NHS Health Scotland, Glasgow, UK.
  • Williams LJ; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK.
  • Bhopal RS; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK.
  • Katikireddi SV; MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.
  • Cézard GI; Population and Health Research Group, University of St Andrews, UK.
  • Buchanan D; Information Services Division, NHS National Services Scotland, UK.
  • Douglas AF; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK.
  • Steiner MFC; Department of Child Health, University of Aberdeen, UK.
  • Sheikh A; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK.
Public Health ; 161: 5-11, 2018 Aug.
Article em En | MEDLINE | ID: mdl-29852341
ABSTRACT

OBJECTIVES:

Immigration into Europe has raised contrasting concerns about increased pressure on health services and equitable provision of health care to immigrants or ethnic minorities. Our objective was to find out if there were important differences in hospital use between the main ethnic groups in Scotland. STUDY

DESIGN:

A census-based data linkage cohort study.

METHODS:

We anonymously linked Scotland's Census 2001 records for 4.62 million people, including their ethnic group, to National Health Service general hospitalisation records for 2001-2013. We used Poisson regression to calculate hospitalisation rate ratios (RRs) in 14 ethnic groups, presented as percentages of the White Scottish reference group (RR = 100), for males and females separately. We adjusted for age and socio-economic status and compared those born in the United Kingdom or the Republic of Ireland (UK/RoI) with elsewhere. We calculated mean lengths of hospital stay.

RESULTS:

9.79 million hospital admissions were analysed. Compared with the White Scottish, unadjusted RRs for both males and females in most groups were about 50-90, e.g. Chinese males 49 (95% confidence interval [CI] = 45-53) and Indian females 76 (95% CI 71-81). The exceptions were White Irish, males 120 (95% CI 117-124) and females 115 (95% CI 112-119) and Caribbean females, 103 (95% CI 85-126). Adjusting for age increased the RRs for most groups towards or above the reference. Socio-economic status had little effect. In many groups, those born outside the UK/RoI had lower admission rates. Unadjusted mean lengths of stay were substantially lower in most ethnic minorities.

CONCLUSIONS:

Use of hospital beds in Scotland by most ethnic minorities was lower than by the White Scottish majority, largely explained by their younger average age. Other countries should use similar methods to assess their own experience.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Etnicidade / Hospitalização Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Public Health Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Etnicidade / Hospitalização Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Public Health Ano de publicação: 2018 Tipo de documento: Article