1/While I was in with air travel chaos and missing Poster Session 1, Dr Jane @liebschutz got our poster up on the boards.
Thanks 😊 !
Our work looks at 29 VA clinics for homeless Veterans to learn what features offer a better care experience, applying machine learning
2/We surveyed 3900 homeless-experienced Veterans AND the staff in 29 clinics where they got primary care. And asked what clinic features make the difference?
Problem: we had 57 organizational characteristics of interest, and 18 personal characteristics to address
3/With a brilliant statistician we ran Classification And Regression Tree analysis - the “machine” to sort out which of those variables best partition the Veterans rating primary care better vs worse.. both patient and clinic characteristics matter …
4/This is obviously an #SGIM22 abstract/poster. We will refine our understandings, but what we find is that clinic characteristics like team functioning + leadership + patient centered accommodation of care were important … thanks to @vahsrd funding and collaborators..
5/Our teamwork/dream work includes these bright ones and many not in Birmingham like @AJ_Gordon@DrAudreyJones and Lillian Gelberg - we aim to improve care. /fin
• • •
Missing some Tweet in this thread? You can try to
force a refresh
🧵1/Our @uabmedicine Grand Rounds will feature a diagnostic showdown between Dr Martin Rodriguez and ChatGPT4
I am scared here because I don’t want AI to win
2/the case features behavioral changes, swearing, cognitive decline, cough, progressive weakness over 3 years.
I wonder about infectious and rheumatic disorders. Maybe primary neurological
Aspirations after a cognitive change is possible
Dr Rodriguez opens. Not much to go on.
3/ChatGPT generated a lot of text read by Dr Kraemer but it is pretty good, with emphasis on neurological disorders followed by a disclaimer “please note that this does not substitute for professional medical advice”. Both want more information
Truth💣 1/ The “NARXCare” opioid Rx risk algorithm is in all Prescription Monitoring Databases,ie ~1 bn Rx’s/year
NOW in @JournalGIM
✅evidence does not yet exist to support it as safe or protective
✅It has flourished due to lack of federal oversight link.springer.com/article/10.100…
2/The authors, led by Dr Michele Buonara, review the core argument as one in which this algorithm with low evidence to its favor
and high risk of harm
has gone unregulated
despite apparently fulfilling @US_FDA criteria that mandate it be regulated
3/Nearly all prescribers and national pharmacies now see the Bamboo Health, Inc proprietary “NARXcare” algorithm in a more prominent position *than the prescription history itself” when they view a prescription history.
1/Arguing for methadone deregulation, Dr. Ruth Potee notes that in an auditorium of 400 addiction specialists, almost NONE prescribe methadone (because they can't)
"Methadone is a miracle drug that no one has access to"
There are more people who offer Botox than offer methadone
Patient: “I can still do my activities”.
Doc: "No way, not really. I read the SPACE trial, and there is NO benefit (that would outweigh the opioids’ risk)”
"Shared decision-making" seems *doomed* here
1/I watch with concern as DEA prosecutions of MDs still seem to rely on “they prescribed more than I would” despite a 9-0 ruling of
Supreme Court last year
Sudden termination of opioids & progressive abandonment of 5-8 million patients is dangerous
1/Even on inpatient rounds, it is possible to introduce the idea that addiction isn’t (only) in the brain.
I contrast @NIAAAnews “brain disease” against a behavioral economics vide substance use as a pattern of behavior occurring in relation to environmental context
2/On teaching rounds we read aloud and discussed the @NIAAAnews brain-science model of addiction, pulling just a few lines off their website
3/then we read lines from Chapter 39 of “Evaluating the Brain Disease Model of Addiction” - this presents harmful substance use as a pattern of behavior based on assessment of competing rewards, delay or uncertainty of desired rewards, risks and costs - ie behavioral economics