There is *real* anger toward this organization. Honestly, more than I even heard about from MD students and the NBME.
You asked. So here are my thoughts on how osteopathic medical students should respond to the NBOME.
(thread)
I think most of us are over here waiting to see what @jbcarmody has to say about the latest NBOME email pic.twitter.com/bVWkS23V7z
— Jake Berg (@jberg521) January 28, 2021
There is *real* anger toward this organization. Honestly, more than I even heard about from MD students and the NBME.
Amorphous anger on social media is easy to ignore. But if that anger gets channeled into organized efforts to facilitate change, then improvements are possible.
Best case scenario, you’ll get another “town hall” meeting, a handful of platitudes, and some thoughtful beard stroking before being told that they’re keeping the exam.
Almost all states allow DO licensure by completing the USMLE series. If you aren’t required to engage with the NBOME, don’t.
As an MD who has passed the USMLE, I could practice in any state. Why shouldn’t a DO who passed the USMLE be able to do the same?
(State boards that prop up the NBOME with a COMLEX requirement are listed in the Tweet below.) https://t.co/stace4lMjD
For those wondering, DO students who completed Step1 & Step2CK are eligible to sit for Step3 and receive state licensure w/o COMLEX series in ~44/50 states; 5 states can accommodate others w/o Level2PE; 1 state, FL, does not.
— Mustafa Basree MS (@mustafabasree) January 26, 2021
See below if you're considering below 5 states \U0001f447\U0001f3fd
The board may be friendly with the NBOME, but they’re still accountable to the legislature.
It’s ultimately the COCA requirement that keeps the NBOME in business.

They should think carefully about whether, at this point in history, a “separate but equal” licensing exam hurts DOs more than it helps.
https://t.co/pFwaAx01oB
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Normally I enjoy the high standards of journalism in @guardian . Not today as disappointed with misleading headline that suggest infections are spreading fastest in children. It'll worry parents/teachers & I doubt most readers will unpick the
The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
5/
The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Misinterpretation of surveillance data is a serious issue. Surveillance data needs to come with a warning label - Open to biases - interpret with caution! Some may not realize that surveillance often does not measure all infection, it's a proxy for actual disease incidence.
— Andrew Lee (@andrewleedr) February 14, 2021
1/
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
5/
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