Working with codelists
A Codelist is a collection of clinical codes that classifies patients as having certain conditions or demographic properties. For example, in an clinical system, an asthma diagnosis may be indicated by any of more than 100 codes.
Codelists must be stored as data within your study repository, from where they can be used in your study definition.
To help you create, edit, and manage codelists, OpenSAFELY provides a web-based tool called OpenCodelists. For more information about how to create and edit codelists on the website, see the codelists documentation.
Pulling codelists into your study definition🔗
Many functions for defining variables take codelists as arguments.
Codelists live as CSV files in the
codelists/ directory, and are loaded into variables like this:
chronic_cardiac_disease_codes = codelist_from_csv( "codelists/opensafely-chronic-cardiac-disease.csv", system="ctv3", column="CTV3ID" )
You should put code that creates codelist variables before your
StudyDefinition(), so it can refer to them, and users know where to look.
You can do this in
analysis/study_definition.py, but we recommend that you put all your codelist definitions into a file called
codelists.py and importing it in at the top of your file:
from codelists import *
This keeps it cleaner and easier to read.
Codelists can be combined where appropriate. This has the advantage of keeping codeslists separate for some studies but easily combining them for others.
Codelists can be combined using the
combine_codelist function from
cohortextractor, for example:
from cohortextractor import combine_codelists all_cardiac_disease_codes = combine_codelists( chronic_cardiac_disease_codes, acute_cardiac_disease_codes )