No, do not write leading statements like that, it’s rude. Just ask me to clarify.
I’m saying there’s.no point measuring millennial healthcare analytics vs older generations because millennials aren’t older yet (obviously). So point in time analytics aren’t valuable ( edit to my conversation, obviously they are useful) My point was to understand the health analytics of a cohort relative to care options, you must consider the same age band, no matter the year.
So like " describe mental health detection among 20-30 yo’s across decade’s of history"
Hard to believe this isn’t simply due to improved detection, reporting and treatment options.
Gen X and boomers still go to the Dr and undergo depression screenings, yet Gen X has roughly half the rates of depression as gen z and millennials. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934502/
The key metric would be to review care detection and frequency at the same chronological age of participants, not simply today.
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No, do not write leading statements like that, it’s rude. Just ask me to clarify.
I’m saying there’s.no point measuring millennial healthcare analytics vs older generations because millennials aren’t older yet (obviously). So point in time analytics aren’t valuable ( edit to my conversation, obviously they are useful) My point was to understand the health analytics of a cohort relative to care options, you must consider the same age band, no matter the year.
So like " describe mental health detection among 20-30 yo’s across decade’s of history"
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It’s a statement you are assuming I made, which I contested.