THEMIS related topic, hope I am posting it in the right location. The topic has somewhat been beaten up at this point and but wanted to take it to forums as it keeps coming up in our interactions with multiple OMOP CDM users.
When doing OMOP CDM conversions, we are filtering out data with insufficient quality. Specifically, in CPRD that would be those patients marked with accept = 0. However, filtering data our makes a lot of CPRD users uncomfortable as they feel they would be "losing" a big number of records that they are used to seeing in their cohorts, even knowing those are not a good quality records.
The idea, of course, is that only trustworthy data should be used to ensure quality observational research. However, I understand that there are a few cases - like with open claims (unadjudicated) - where data with insufficient quality is also useful.
Wanted to have a quick discussion here again, brainstorm possible ideas:
1) Are there use case where patients (in CPRD with accept = 0 flag) with insufficient quality can be used?
2) Let's say #1 is yes, then would it make sense to have a flag in OMOP CDM marking patients as "acceptable quality"? Then maybe having ATLAS able to use this flag in the cohort builder, where by default it would only use records with "acceptable quality". For those who decide to filter out records as a part of ETL, that means no change at all as all records would be marked as "good". This idea of having a flag does breakdown, somewhat, in the example of open claims.
Another idea that was proposed is to have another instance with CPRD data with "insufficient quality" patient records.
tagging some OHDSI heavyweights - @Christian_Reich, @Patrick_Ryan, @ericaVoss, @Rijnbeek