Back to Search
Start Over
Differences in all-cause hospitalisation by ethnic group: a data linkage cohort study of 4.62 million people in Scotland, 2001-2013.
- Source :
-
Public Health (Elsevier) . Aug2018, Vol. 161, p5-11. 7p. - Publication Year :
- 2018
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *CENSUS
*CHINESE people
*CONFIDENCE intervals
*ETHNIC groups
*HEALTH facilities
*HEALTH services accessibility
*HOSPITAL care
*HOSPITAL utilization
*LENGTH of stay in hospitals
*HOSPITAL admission & discharge
*LONGITUDINAL method
*MEDICAL records
*PATIENTS
*POISSON distribution
*REGRESSION analysis
*WHITE people
*DEPARTMENTS
*SOCIOECONOMIC factors
*ECONOMICS
Subjects
Details
- Language :
- English
- ISSN :
- 00333506
- Volume :
- 161
- Database :
- Academic Search Index
- Journal :
- Public Health (Elsevier)
- Publication Type :
- Academic Journal
- Accession number :
- 130971558
- Full Text :
- https://doi.org/10.1016/j.puhe.2018.04.010