The collection and utilisation of patient ethnicity data in general practices and hospitals in the United Kingdom: A qualitative case study

Zoe Jane Morrison, Bernard Fernando, Dipak Kalra, Kathrin Cresswell, Ann Robertson, Aziz Sheikh

Research output: Contribution to journalArticle

4 Citations (Scopus)


BACKGROUND: Although the collection of patient ethnicity data is a requirement of publicly funded healthcare providers in the UK, recording of ethnicity is sub-optimal for reasons that remain poorly understood. AIMS AND OBJECTIVES: We sought to understand enablers and barriers to the collection and utilisation of ethnicity data within electronic health records, how these practices have developed and what benefit this information provides to different stakeholder groups. METHODS: We undertook an in-depth, qualitative case study drawing on interviews and documents obtained from participants working as academics, managers and administrators within the UK. RESULTS: Information regarding patient ethnicity was collected and coded as administrative patient data, and/or in narrative form within clinical records. We identified disparities in the classification of ethnicity, approaches to coding and levels of completeness due to differing local, regional and national policies and processes. Most participants could not identify any clinical value of ethnicity information and many did not know if and when data were shared between services or used to support quality of care and research. CONCLUSIONS: Findings highlighted substantial variations in data classification, and practical challenges in data collection and usage that undermine the integrity of data collected. Future work needs to focus on explaining the uses of these data to frontline clinicians, identifying resources that can support busy professionals to collect standardised data and then, once collected, maximising the utility of these data.
Original languageEnglish
Pages (from-to)118-131
Number of pages14
JournalInformatics in Primary Care
Issue number3
Publication statusPublished - 2014



  • Ethnicity
  • Healthcare disparities
  • Language
  • Minority health
  • Qualitative research
  • Race

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