The standard way to run medical trial is to focus on people that are “normal”. That usually means that people in clinical trials don’t take other drugs that have side effects. From a clinical trial standpoint taking hormones is taking a drug with a lot of side effects that relatively few people in the population take.
The average clinical trial does not recruit an amount of trans participants to measure effects on those and running clinical trials is already expensive enough the way it is currently. That’s extra true if you want to distinguish between the trans population on many axes. The more degrees of freedom you have in your questionaire the more participants you need.
If you want to have population data about cancer rates in trans people who likely can’t have the data privacy as narrow as you propose. You likely need to have the insurance companies have access to the data to see whether there are correlations.
If you care about the topic of adding to the existing data it’s also worthwhile to think in terms of the existing classifications. ICD codes exist for classifying patients. A good questionaire would likely give you the ICD codes for a particular patient.
From there it would be interesting to look at whether the current ICD codes miss important distinctions. If you actually want to get nerdy, you likely need to think in terms like ICD codes.
The standard way to run medical trial is to focus on people that are “normal”. That usually means that people in clinical trials don’t take other drugs that have side effects. From a clinical trial standpoint taking hormones is taking a drug with a lot of side effects that relatively few people in the population take.
The average clinical trial does not recruit an amount of trans participants to measure effects on those and running clinical trials is already expensive enough the way it is currently. That’s extra true if you want to distinguish between the trans population on many axes. The more degrees of freedom you have in your questionaire the more participants you need.
If you want to have population data about cancer rates in trans people who likely can’t have the data privacy as narrow as you propose. You likely need to have the insurance companies have access to the data to see whether there are correlations.
If you care about the topic of adding to the existing data it’s also worthwhile to think in terms of the existing classifications. ICD codes exist for classifying patients. A good questionaire would likely give you the ICD codes for a particular patient.
From there it would be interesting to look at whether the current ICD codes miss important distinctions. If you actually want to get nerdy, you likely need to think in terms like ICD codes.