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Lextuga007 avatar Lextuga007 commented on July 19, 2024 2

Ethnicity grouping is different too between clinical systems and OpenSafely publishes its codelists from SystmOne. It is definitely grouped differently clinical systems like SystmOne and Rio and I'm guessing is different between Read codes and SNOMED.

https://docs.opensafely.org/ehrql/how-to/examples/#finding-each-patients-ethnicity
https://www.opencodelists.org/codelist/opensafely/ethnicity-snomed-0removed/2e641f61/

from health-inequalities-notebook.

Lextuga007 avatar Lextuga007 commented on July 19, 2024

This is a great issue and one I wish I'd blogged as I'd pulled something together a long time ago and can't find it anywhere!

I found some analysis used ethnicity categories related to staff for some surveys to be able to compare to that population but I much preferred using ONS because it helps with comparisons to the general public (the key being what you are comparing to). The census may be slightly different this year from pervious years too because I think there were two groups that they could identify as being much bigger than previously: Somali and Roma but after testing Somali wasn't put in as a main category but a sub-category.

https://www.ethnicity-facts-figures.service.gov.uk/style-guide/ethnic-groups

from health-inequalities-notebook.

DCEW avatar DCEW commented on July 19, 2024

This could take into account the main takeaways from https://www.gov.uk/government/publications/standards-for-ethnicity-data/standards-for-ethnicity-data (esp section 3.2)

from health-inequalities-notebook.

DCEW avatar DCEW commented on July 19, 2024

Oh and a bit about how datasets harmonise conflicting data feeds wrt ethnicity, e.g. OHID CHIME model

from health-inequalities-notebook.

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