Consistency, completeness and external validity of ethnicity recording in NHS primary care records: a cohort study in 25 million patients’ records at source using OpenSAFELY

Author:

,Andrews Colm DORCID,Mathur RohiniORCID,Massey JonORCID,Park Robin,Hopcroft LisaORCID,Curtis Helen JORCID,Mehrkar AmirORCID,Bacon SebORCID,Hickman GeorgeORCID,Smith Rebecca,Evans DavidORCID,Ward TomORCID,Davy SimonORCID,Inglesby PeterORCID,Dillingham Iain,Maude StevenORCID,O’Dwyer ThomasORCID,Butler-Cole Ben,Bridges LucyORCID,Bates ChrisORCID,Parry John,Hester Frank,Harper Sam,Cockburn JonathanORCID,Goldacre BenORCID,MacKenna BrianORCID,Tomlinson LaurieORCID,Walker Alex JORCID,Hulme William JORCID

Abstract

AbstractBackgroundEthnicity is known to be an important correlate of health outcomes, particularly during the COVID-19 pandemic, where some ethnic groups were shown to be at higher risk of infection and adverse outcomes. The recording of patients’ ethnic groups in primary care can support research and efforts to achieve equity in service provision and outcomes; however the coding of ethnicity is known to present complex challenges. We therefore set out to describe ethnicity coding in detail with a view to supporting the use of this data in a wide range of settings, as part of wider efforts to robustly describe and define methods of using administrative data.MethodsWe describe the completeness and consistency of primary care ethnicity recording in the OpenSAFELY-TPP database, containing linked primary care and hospital records in >25 million patients in England. We also compared the ethnic breakdown in OpenSAFELY-TPP with that of the 2021 UK census.Results78.2% of patients registered in OpenSAFELY-TPP on 1 January 2022 had their ethnicity recorded in primary care records, rising to 92.5% when supplemented with hospital data. The completeness of ethnicity recording was higher for women than for men. The rate of primary care ethnicity recording ranged from 77% in the South East of England to 82.2% in the West Midlands. Ethnicity recording rates were higher in patients with chronic or other serious health conditions. For each of the five broad ethnicity groups, primary care recorded ethnicity was within 2.9 percentage points of the population rate as recorded in the 2021 Census for England as a whole. For patients with multiple ethnicity records, 98.7% of the latest recorded ethnicities matched the most frequently coded ethnicity. Patients whose latest recorded ethnicity was categorised as Other were most likely to have a discordant ethnicity recording (32.2%).ConclusionsPrimary care ethnicity data in OpenSAFELY is present for over three quarters of all patients, and combined with data from other sources can achieve a high level of completeness. The overall distribution of ethnicities across all English OpenSAFELY-TPP practices was similar to the 2021 Census, with some regional variation. This report identifies the best available codelist for use in OpenSAFELY and similar electronic health record data.

Publisher

Cold Spring Harbor Laboratory

Reference47 articles.

1. Ethnic inequalities in COVID-19 infection, hospitalisation, intensive care admission, and death: a global systematic review and meta-analysis of over 200 million study participants;EClinicalMedicine,2023

2. Ethnic differences in SARS-CoV-2 infection and COVID-19-related hospitalisation, intensive care unit admission, and death in 17 million adults in England: an observational cohort study using the OpenSAFELY platform

3. Garlick, S. Ethnic group, England and Wales - Office for National Statistics. https://www.ons.gov.uk/peoplepopulationandcommunity/culturalidentity/ethnicity/bulletins/ethnicgroupenglandandwales/census2021 (2022).

4. The challenge of using routinely collected data to compare hospital admission rates by ethnic group: a demonstration project in Scotland

5. Scobie, S. , Spencer, J. & Raleigh, V. Ethnicity coding in English health service datasets. https://www.nuffieldtrust.org.uk/files/2021-06/1622731816_nuffield-trust-ethnicity-coding-web.pdf.

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