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Measuring the health patterns of the ‘mixed/multiple’ ethnic group in Britain: data quality problems, reporting issues, and implications for policy

Aspinall, Peter J. (2018) Measuring the health patterns of the ‘mixed/multiple’ ethnic group in Britain: data quality problems, reporting issues, and implications for policy. International Journal of Social Research Methodology, 21 (3). pp. 359-371. ISSN 1364-5579. (doi:10.1080/13645579.2017.1399623) (KAR id:69771)

Abstract

The ‘mixed’ group, officially recognised in the 2001 Census, is one of the most rapidly growing ethnic groups in Britain. Although ‘mixed’ categorisation was added to ethnic coding in NHS datasets, our knowledge of health patterns for this population is meagre. Data quality problems remain a key obstacle, including poor reproducibility of the data and constraints on reporting due to sparse data bias. The consequent minimal and indicative evidence base has focused mainly on risky health behaviours, mental health and generic measures of self-rated health, as it has in the U.S.A. and Canada. There is negligible information on the main underlying causes of death, such as neoplasms, heart disease and stroke. Consideration should be given to pooling data across multiple years of health and general purpose surveys to enable reporting for the four ‘mixed’ categories and adjustment for mediating factors and relevant confounders, such as measures of socio-economic status.

Item Type: Article
DOI/Identification number: 10.1080/13645579.2017.1399623
Uncontrolled keywords: ‘Mixed’ group, data quality, census, sparse data bias, NHS data-sets, surveys
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HT Communities. Classes. Races
Divisions: Divisions > Division for the Study of Law, Society and Social Justice > School of Social Policy, Sociology and Social Research > Centre for Health Services Studies
Depositing User: Peter Aspinall
Date Deposited: 24 Oct 2018 13:59 UTC
Last Modified: 09 Dec 2022 03:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/69771 (The current URI for this page, for reference purposes)

University of Kent Author Information

Aspinall, Peter J..

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