Comments (4)
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.
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.
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.
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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from health-inequalities-notebook.