Quality of ethnicity data within Scottish health records and implications of misclassification for ethnic inequalities in severe COVID-19: a national linked data study

Amele, S. et al. (2023) Quality of ethnicity data within Scottish health records and implications of misclassification for ethnic inequalities in severe COVID-19: a national linked data study. Journal of Public Health, (doi: 10.1093/pubmed/fdad196) (PMID:37861114) (Early Online Publication)

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Abstract

Background: We compared the quality of ethnicity coding within the Public Health Scotland Ethnicity Look-up (PHS-EL) dataset, and other National Health Service datasets, with the 2011 Scottish Census. Methods: Measures of quality included the level of missingness and misclassification. We examined the impact of misclassification using Cox proportional hazards to compare the risk of severe coronavirus disease (COVID-19) (hospitalization & death) by ethnic group. Results: Misclassification within PHS-EL was higher for all minority ethnic groups [12.5 to 69.1%] compared with the White Scottish majority [5.1%] and highest in the White Gypsy/Traveller group [69.1%]. Missingness in PHS-EL was highest among the White Other British group [39%] and lowest among the Pakistani group [17%]. PHS-EL data often underestimated severe COVID-19 risk compared with Census data. e.g. in the White Gypsy/Traveller group the Hazard Ratio (HR) was 1.68 [95% Confidence Intervals (CI): 1.03, 2.74] compared with the White Scottish majority using Census ethnicity data and 0.73 [95% CI: 0.10, 5.15] using PHS-EL data; and HR was 2.03 [95% CI: 1.20, 3.44] in the Census for the Bangladeshi group versus 1.45 [95% CI: 0.75, 2.78] in PHS-EL. Conclusions: Poor quality ethnicity coding in health records can bias estimates, thereby threatening monitoring and understanding ethnic inequalities in health.

Item Type:Articles
Status:Early Online Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Katikireddi, Professor Vittal and Hainey, Dr Kirsten and Demou, Dr Evangelia and Kibuchi, Dr Eliud and McCabe, Dr Ronan and Pattaro, Dr Serena and Pearce, Dr Anna and Amele, Ms Sarah
Authors: Amele, S., McCabe, R., Kibuchi, E., Pearce, A., Hainey, K., Demou, E., Irizar, P., Kapadia, D., Taylor, H., Nazroo, J., Bécares, L., Buchanan, D., Henery, P., Jayacodi, S., Woolford, L., Simpson, C. R., Sheikh, A., Jeffrey, K., Shi, T., Daines, L., Tibble, H., Almaghrabi, F., Fagbamigbe, A. F., Kurdie, A., Robertson, C., Pattaro, S., and Katikireddi, S. V.
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU
College of Social Sciences > School of Social and Political Sciences > Urban Studies
Journal Name:Journal of Public Health
Publisher:Oxford University Press
ISSN:1741-3842
ISSN (Online):1741-3850
Published Online:19 October 2023
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in Journal of Public Health 2023
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3048230021Inequalities in healthAlastair LeylandMedical Research Council (MRC)MC_UU_00022/2HW - MRC/CSO Social and Public Health Sciences Unit
3048230071Inequalities in healthAlastair LeylandOffice of the Chief Scientific Adviser (CSO)SPHSU17HW - MRC/CSO Social and Public Health Sciences Unit
172690Understanding the impacts of welfare policy on health: A novel data linkage studySrinivasa KatikireddiOffice of the Chief Scientific Adviser (CSO)SCAF/15/02SHW - Public Health