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Quayle G, Jones B, Atkins J, Shannon C, Smith R, Tabor D, Bałabuch Z, Cox C, Horsell S, John M, McGrail White T, Vickers S, Whittinger S, Bannister N, Raleigh V, Mateen B, Drummond R. Qualitative interviews to understand methods and systems used to collect ethnicity information in health administrative data sources in England. Wellcome Open Res 2023; 8:265. [PMID: 37766853 PMCID: PMC10521056 DOI: 10.12688/wellcomeopenres.19262.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/17/2023] [Indexed: 09/29/2023] Open
Abstract
Background: This article is one of a series aiming to inform analytical methods to improve comparability of estimates of ethnic health disparities based on different sources. This article explores the quality of ethnicity data and identifies potential sources of bias when ethnicity information is collected in three key NHS data sources. Future research can build on these findings to explore analytical methods to mitigate biases. Methods: Thematic analysis of semi-structured qualitative interviews to explore potential sources of error and bias in the process of collecting ethnicity information across three NHS data sources: General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR), Hospital Episode Statistics (HES) and Improving Access to Psychological Therapies (IAPT). The study included feedback from 22 experts working on different aspects of health admin data collection for England (including staff from NHS Digital, IT system suppliers and relevant healthcare service providers). Results: Potential sources of error and bias were identified across data collection, data processing and quality assurance processes. Similar issues were identified for all three sources. Our analysis revealed three main themes which can result in bias and inaccuracies in ethnicity data recorded: data infrastructure challenges, human challenges, and institutional challenges. Conclusions: Findings highlighted that analysts using health admin data should be aware of the main sources of potential error and bias in health admin data, and be mindful that the main sources of error identified are more likely to affect the ethnicity data for ethnic minority groups. Where possible, analysts should describe and seek to account for this bias in their research.
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Affiliation(s)
- Gemma Quayle
- Office for National Statistics, Newport, NP10 8XG, UK
| | - Bethan Jones
- Office for National Statistics, Newport, NP10 8XG, UK
| | | | | | - Roxanne Smith
- Office for National Statistics, Newport, NP10 8XG, UK
| | - David Tabor
- Office for National Statistics, Newport, NP10 8XG, UK
| | | | - Courtney Cox
- Office for National Statistics, Newport, NP10 8XG, UK
| | - Sarah Horsell
- Office for National Statistics, Newport, NP10 8XG, UK
| | - Marie John
- Office for National Statistics, Newport, NP10 8XG, UK
| | | | | | | | | | - Veena Raleigh
- The King's Fund, London, England, W1G 0AN, UK
- Nuffield Trust, London, England, UK
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Rivett LC, Quayle G. A Method of Administering Continuous Intravenous Anæsthesia for Abdominal Surgery: (Section of Anæsthetics). Proc R Soc Med 1940; 33:631-636. [PMID: 20916679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
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Rivett LC, Quayle G. A Method of Administering Continuous Intravenous Anaesthesia for Abdominal Surgery: (Section of Anaesthetics). Proc R Soc Med 1940; 33:631-636. [PMID: 19992282 PMCID: PMC1997761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
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