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Proclivity ID
18813001
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Specialty Focus
Psoriatic Arthritis
Spondyloarthropathies
Rheumatoid Arthritis
Osteoarthritis
Negative Keywords
gaming
gambling
compulsive behaviors
ammunition
assault rifle
black jack
Boko Haram
bondage
child abuse
cocaine
Daech
drug paraphernalia
explosion
gun
human trafficking
ISIL
ISIS
Islamic caliphate
Islamic state
mixed martial arts
MMA
molestation
national rifle association
NRA
nsfw
pedophile
pedophilia
poker
porn
pornography
psychedelic drug
recreational drug
sex slave rings
slot machine
terrorism
terrorist
Texas hold 'em
UFC
substance abuse
abuseed
abuseer
abusees
abuseing
abusely
abuses
aeolus
aeolused
aeoluser
aeoluses
aeolusing
aeolusly
aeoluss
ahole
aholeed
aholeer
aholees
aholeing
aholely
aholes
alcohol
alcoholed
alcoholer
alcoholes
alcoholing
alcoholly
alcohols
allman
allmaned
allmaner
allmanes
allmaning
allmanly
allmans
alted
altes
alting
altly
alts
analed
analer
anales
analing
anally
analprobe
analprobeed
analprobeer
analprobees
analprobeing
analprobely
analprobes
anals
anilingus
anilingused
anilinguser
anilinguses
anilingusing
anilingusly
anilinguss
anus
anused
anuser
anuses
anusing
anusly
anuss
areola
areolaed
areolaer
areolaes
areolaing
areolaly
areolas
areole
areoleed
areoleer
areolees
areoleing
areolely
areoles
arian
arianed
arianer
arianes
arianing
arianly
arians
aryan
aryaned
aryaner
aryanes
aryaning
aryanly
aryans
asiaed
asiaer
asiaes
asiaing
asialy
asias
ass
ass hole
ass lick
ass licked
ass licker
ass lickes
ass licking
ass lickly
ass licks
assbang
assbanged
assbangeded
assbangeder
assbangedes
assbangeding
assbangedly
assbangeds
assbanger
assbanges
assbanging
assbangly
assbangs
assbangsed
assbangser
assbangses
assbangsing
assbangsly
assbangss
assed
asser
asses
assesed
asseser
asseses
assesing
assesly
assess
assfuck
assfucked
assfucker
assfuckered
assfuckerer
assfuckeres
assfuckering
assfuckerly
assfuckers
assfuckes
assfucking
assfuckly
assfucks
asshat
asshated
asshater
asshates
asshating
asshatly
asshats
assholeed
assholeer
assholees
assholeing
assholely
assholes
assholesed
assholeser
assholeses
assholesing
assholesly
assholess
assing
assly
assmaster
assmastered
assmasterer
assmasteres
assmastering
assmasterly
assmasters
assmunch
assmunched
assmuncher
assmunches
assmunching
assmunchly
assmunchs
asss
asswipe
asswipeed
asswipeer
asswipees
asswipeing
asswipely
asswipes
asswipesed
asswipeser
asswipeses
asswipesing
asswipesly
asswipess
azz
azzed
azzer
azzes
azzing
azzly
azzs
babeed
babeer
babees
babeing
babely
babes
babesed
babeser
babeses
babesing
babesly
babess
ballsac
ballsaced
ballsacer
ballsaces
ballsacing
ballsack
ballsacked
ballsacker
ballsackes
ballsacking
ballsackly
ballsacks
ballsacly
ballsacs
ballsed
ballser
ballses
ballsing
ballsly
ballss
barf
barfed
barfer
barfes
barfing
barfly
barfs
bastard
bastarded
bastarder
bastardes
bastarding
bastardly
bastards
bastardsed
bastardser
bastardses
bastardsing
bastardsly
bastardss
bawdy
bawdyed
bawdyer
bawdyes
bawdying
bawdyly
bawdys
beaner
beanered
beanerer
beaneres
beanering
beanerly
beaners
beardedclam
beardedclamed
beardedclamer
beardedclames
beardedclaming
beardedclamly
beardedclams
beastiality
beastialityed
beastialityer
beastialityes
beastialitying
beastialityly
beastialitys
beatch
beatched
beatcher
beatches
beatching
beatchly
beatchs
beater
beatered
beaterer
beateres
beatering
beaterly
beaters
beered
beerer
beeres
beering
beerly
beeyotch
beeyotched
beeyotcher
beeyotches
beeyotching
beeyotchly
beeyotchs
beotch
beotched
beotcher
beotches
beotching
beotchly
beotchs
biatch
biatched
biatcher
biatches
biatching
biatchly
biatchs
big tits
big titsed
big titser
big titses
big titsing
big titsly
big titss
bigtits
bigtitsed
bigtitser
bigtitses
bigtitsing
bigtitsly
bigtitss
bimbo
bimboed
bimboer
bimboes
bimboing
bimboly
bimbos
bisexualed
bisexualer
bisexuales
bisexualing
bisexually
bisexuals
bitch
bitched
bitcheded
bitcheder
bitchedes
bitcheding
bitchedly
bitcheds
bitcher
bitches
bitchesed
bitcheser
bitcheses
bitchesing
bitchesly
bitchess
bitching
bitchly
bitchs
bitchy
bitchyed
bitchyer
bitchyes
bitchying
bitchyly
bitchys
bleached
bleacher
bleaches
bleaching
bleachly
bleachs
blow job
blow jobed
blow jober
blow jobes
blow jobing
blow jobly
blow jobs
blowed
blower
blowes
blowing
blowjob
blowjobed
blowjober
blowjobes
blowjobing
blowjobly
blowjobs
blowjobsed
blowjobser
blowjobses
blowjobsing
blowjobsly
blowjobss
blowly
blows
boink
boinked
boinker
boinkes
boinking
boinkly
boinks
bollock
bollocked
bollocker
bollockes
bollocking
bollockly
bollocks
bollocksed
bollockser
bollockses
bollocksing
bollocksly
bollockss
bollok
bolloked
bolloker
bollokes
bolloking
bollokly
bolloks
boner
bonered
bonerer
boneres
bonering
bonerly
boners
bonersed
bonerser
bonerses
bonersing
bonersly
bonerss
bong
bonged
bonger
bonges
bonging
bongly
bongs
boob
boobed
boober
boobes
boobies
boobiesed
boobieser
boobieses
boobiesing
boobiesly
boobiess
boobing
boobly
boobs
boobsed
boobser
boobses
boobsing
boobsly
boobss
booby
boobyed
boobyer
boobyes
boobying
boobyly
boobys
booger
boogered
boogerer
boogeres
boogering
boogerly
boogers
bookie
bookieed
bookieer
bookiees
bookieing
bookiely
bookies
bootee
booteeed
booteeer
booteees
booteeing
booteely
bootees
bootie
bootieed
bootieer
bootiees
bootieing
bootiely
booties
booty
bootyed
bootyer
bootyes
bootying
bootyly
bootys
boozeed
boozeer
boozees
boozeing
boozely
boozer
boozered
boozerer
boozeres
boozering
boozerly
boozers
boozes
boozy
boozyed
boozyer
boozyes
boozying
boozyly
boozys
bosomed
bosomer
bosomes
bosoming
bosomly
bosoms
bosomy
bosomyed
bosomyer
bosomyes
bosomying
bosomyly
bosomys
bugger
buggered
buggerer
buggeres
buggering
buggerly
buggers
bukkake
bukkakeed
bukkakeer
bukkakees
bukkakeing
bukkakely
bukkakes
bull shit
bull shited
bull shiter
bull shites
bull shiting
bull shitly
bull shits
bullshit
bullshited
bullshiter
bullshites
bullshiting
bullshitly
bullshits
bullshitsed
bullshitser
bullshitses
bullshitsing
bullshitsly
bullshitss
bullshitted
bullshitteded
bullshitteder
bullshittedes
bullshitteding
bullshittedly
bullshitteds
bullturds
bullturdsed
bullturdser
bullturdses
bullturdsing
bullturdsly
bullturdss
bung
bunged
bunger
bunges
bunging
bungly
bungs
busty
bustyed
bustyer
bustyes
bustying
bustyly
bustys
butt
butt fuck
butt fucked
butt fucker
butt fuckes
butt fucking
butt fuckly
butt fucks
butted
buttes
buttfuck
buttfucked
buttfucker
buttfuckered
buttfuckerer
buttfuckeres
buttfuckering
buttfuckerly
buttfuckers
buttfuckes
buttfucking
buttfuckly
buttfucks
butting
buttly
buttplug
buttpluged
buttpluger
buttpluges
buttpluging
buttplugly
buttplugs
butts
caca
cacaed
cacaer
cacaes
cacaing
cacaly
cacas
cahone
cahoneed
cahoneer
cahonees
cahoneing
cahonely
cahones
cameltoe
cameltoeed
cameltoeer
cameltoees
cameltoeing
cameltoely
cameltoes
carpetmuncher
carpetmunchered
carpetmuncherer
carpetmuncheres
carpetmunchering
carpetmuncherly
carpetmunchers
cawk
cawked
cawker
cawkes
cawking
cawkly
cawks
chinc
chinced
chincer
chinces
chincing
chincly
chincs
chincsed
chincser
chincses
chincsing
chincsly
chincss
chink
chinked
chinker
chinkes
chinking
chinkly
chinks
chode
chodeed
chodeer
chodees
chodeing
chodely
chodes
chodesed
chodeser
chodeses
chodesing
chodesly
chodess
clit
clited
cliter
clites
cliting
clitly
clitoris
clitorised
clitoriser
clitorises
clitorising
clitorisly
clitoriss
clitorus
clitorused
clitoruser
clitoruses
clitorusing
clitorusly
clitoruss
clits
clitsed
clitser
clitses
clitsing
clitsly
clitss
clitty
clittyed
clittyer
clittyes
clittying
clittyly
clittys
cocain
cocaine
cocained
cocaineed
cocaineer
cocainees
cocaineing
cocainely
cocainer
cocaines
cocaining
cocainly
cocains
cock
cock sucker
cock suckered
cock suckerer
cock suckeres
cock suckering
cock suckerly
cock suckers
cockblock
cockblocked
cockblocker
cockblockes
cockblocking
cockblockly
cockblocks
cocked
cocker
cockes
cockholster
cockholstered
cockholsterer
cockholsteres
cockholstering
cockholsterly
cockholsters
cocking
cockknocker
cockknockered
cockknockerer
cockknockeres
cockknockering
cockknockerly
cockknockers
cockly
cocks
cocksed
cockser
cockses
cocksing
cocksly
cocksmoker
cocksmokered
cocksmokerer
cocksmokeres
cocksmokering
cocksmokerly
cocksmokers
cockss
cocksucker
cocksuckered
cocksuckerer
cocksuckeres
cocksuckering
cocksuckerly
cocksuckers
coital
coitaled
coitaler
coitales
coitaling
coitally
coitals
commie
commieed
commieer
commiees
commieing
commiely
commies
condomed
condomer
condomes
condoming
condomly
condoms
coon
cooned
cooner
coones
cooning
coonly
coons
coonsed
coonser
coonses
coonsing
coonsly
coonss
corksucker
corksuckered
corksuckerer
corksuckeres
corksuckering
corksuckerly
corksuckers
cracked
crackwhore
crackwhoreed
crackwhoreer
crackwhorees
crackwhoreing
crackwhorely
crackwhores
crap
craped
craper
crapes
craping
craply
crappy
crappyed
crappyer
crappyes
crappying
crappyly
crappys
cum
cumed
cumer
cumes
cuming
cumly
cummin
cummined
cumminer
cummines
cumming
cumminged
cumminger
cumminges
cumminging
cummingly
cummings
cummining
cumminly
cummins
cums
cumshot
cumshoted
cumshoter
cumshotes
cumshoting
cumshotly
cumshots
cumshotsed
cumshotser
cumshotses
cumshotsing
cumshotsly
cumshotss
cumslut
cumsluted
cumsluter
cumslutes
cumsluting
cumslutly
cumsluts
cumstain
cumstained
cumstainer
cumstaines
cumstaining
cumstainly
cumstains
cunilingus
cunilingused
cunilinguser
cunilinguses
cunilingusing
cunilingusly
cunilinguss
cunnilingus
cunnilingused
cunnilinguser
cunnilinguses
cunnilingusing
cunnilingusly
cunnilinguss
cunny
cunnyed
cunnyer
cunnyes
cunnying
cunnyly
cunnys
cunt
cunted
cunter
cuntes
cuntface
cuntfaceed
cuntfaceer
cuntfacees
cuntfaceing
cuntfacely
cuntfaces
cunthunter
cunthuntered
cunthunterer
cunthunteres
cunthuntering
cunthunterly
cunthunters
cunting
cuntlick
cuntlicked
cuntlicker
cuntlickered
cuntlickerer
cuntlickeres
cuntlickering
cuntlickerly
cuntlickers
cuntlickes
cuntlicking
cuntlickly
cuntlicks
cuntly
cunts
cuntsed
cuntser
cuntses
cuntsing
cuntsly
cuntss
dago
dagoed
dagoer
dagoes
dagoing
dagoly
dagos
dagosed
dagoser
dagoses
dagosing
dagosly
dagoss
dammit
dammited
dammiter
dammites
dammiting
dammitly
dammits
damn
damned
damneded
damneder
damnedes
damneding
damnedly
damneds
damner
damnes
damning
damnit
damnited
damniter
damnites
damniting
damnitly
damnits
damnly
damns
dick
dickbag
dickbaged
dickbager
dickbages
dickbaging
dickbagly
dickbags
dickdipper
dickdippered
dickdipperer
dickdipperes
dickdippering
dickdipperly
dickdippers
dicked
dicker
dickes
dickface
dickfaceed
dickfaceer
dickfacees
dickfaceing
dickfacely
dickfaces
dickflipper
dickflippered
dickflipperer
dickflipperes
dickflippering
dickflipperly
dickflippers
dickhead
dickheaded
dickheader
dickheades
dickheading
dickheadly
dickheads
dickheadsed
dickheadser
dickheadses
dickheadsing
dickheadsly
dickheadss
dicking
dickish
dickished
dickisher
dickishes
dickishing
dickishly
dickishs
dickly
dickripper
dickrippered
dickripperer
dickripperes
dickrippering
dickripperly
dickrippers
dicks
dicksipper
dicksippered
dicksipperer
dicksipperes
dicksippering
dicksipperly
dicksippers
dickweed
dickweeded
dickweeder
dickweedes
dickweeding
dickweedly
dickweeds
dickwhipper
dickwhippered
dickwhipperer
dickwhipperes
dickwhippering
dickwhipperly
dickwhippers
dickzipper
dickzippered
dickzipperer
dickzipperes
dickzippering
dickzipperly
dickzippers
diddle
diddleed
diddleer
diddlees
diddleing
diddlely
diddles
dike
dikeed
dikeer
dikees
dikeing
dikely
dikes
dildo
dildoed
dildoer
dildoes
dildoing
dildoly
dildos
dildosed
dildoser
dildoses
dildosing
dildosly
dildoss
diligaf
diligafed
diligafer
diligafes
diligafing
diligafly
diligafs
dillweed
dillweeded
dillweeder
dillweedes
dillweeding
dillweedly
dillweeds
dimwit
dimwited
dimwiter
dimwites
dimwiting
dimwitly
dimwits
dingle
dingleed
dingleer
dinglees
dingleing
dinglely
dingles
dipship
dipshiped
dipshiper
dipshipes
dipshiping
dipshiply
dipships
dizzyed
dizzyer
dizzyes
dizzying
dizzyly
dizzys
doggiestyleed
doggiestyleer
doggiestylees
doggiestyleing
doggiestylely
doggiestyles
doggystyleed
doggystyleer
doggystylees
doggystyleing
doggystylely
doggystyles
dong
donged
donger
donges
donging
dongly
dongs
doofus
doofused
doofuser
doofuses
doofusing
doofusly
doofuss
doosh
dooshed
doosher
dooshes
dooshing
dooshly
dooshs
dopeyed
dopeyer
dopeyes
dopeying
dopeyly
dopeys
douchebag
douchebaged
douchebager
douchebages
douchebaging
douchebagly
douchebags
douchebagsed
douchebagser
douchebagses
douchebagsing
douchebagsly
douchebagss
doucheed
doucheer
douchees
doucheing
douchely
douches
douchey
doucheyed
doucheyer
doucheyes
doucheying
doucheyly
doucheys
drunk
drunked
drunker
drunkes
drunking
drunkly
drunks
dumass
dumassed
dumasser
dumasses
dumassing
dumassly
dumasss
dumbass
dumbassed
dumbasser
dumbasses
dumbassesed
dumbasseser
dumbasseses
dumbassesing
dumbassesly
dumbassess
dumbassing
dumbassly
dumbasss
dummy
dummyed
dummyer
dummyes
dummying
dummyly
dummys
dyke
dykeed
dykeer
dykees
dykeing
dykely
dykes
dykesed
dykeser
dykeses
dykesing
dykesly
dykess
erotic
eroticed
eroticer
erotices
eroticing
eroticly
erotics
extacy
extacyed
extacyer
extacyes
extacying
extacyly
extacys
extasy
extasyed
extasyer
extasyes
extasying
extasyly
extasys
fack
facked
facker
fackes
facking
fackly
facks
fag
faged
fager
fages
fagg
fagged
faggeded
faggeder
faggedes
faggeding
faggedly
faggeds
fagger
fagges
fagging
faggit
faggited
faggiter
faggites
faggiting
faggitly
faggits
faggly
faggot
faggoted
faggoter
faggotes
faggoting
faggotly
faggots
faggs
faging
fagly
fagot
fagoted
fagoter
fagotes
fagoting
fagotly
fagots
fags
fagsed
fagser
fagses
fagsing
fagsly
fagss
faig
faiged
faiger
faiges
faiging
faigly
faigs
faigt
faigted
faigter
faigtes
faigting
faigtly
faigts
fannybandit
fannybandited
fannybanditer
fannybandites
fannybanditing
fannybanditly
fannybandits
farted
farter
fartes
farting
fartknocker
fartknockered
fartknockerer
fartknockeres
fartknockering
fartknockerly
fartknockers
fartly
farts
felch
felched
felcher
felchered
felcherer
felcheres
felchering
felcherly
felchers
felches
felching
felchinged
felchinger
felchinges
felchinging
felchingly
felchings
felchly
felchs
fellate
fellateed
fellateer
fellatees
fellateing
fellately
fellates
fellatio
fellatioed
fellatioer
fellatioes
fellatioing
fellatioly
fellatios
feltch
feltched
feltcher
feltchered
feltcherer
feltcheres
feltchering
feltcherly
feltchers
feltches
feltching
feltchly
feltchs
feom
feomed
feomer
feomes
feoming
feomly
feoms
fisted
fisteded
fisteder
fistedes
fisteding
fistedly
fisteds
fisting
fistinged
fistinger
fistinges
fistinging
fistingly
fistings
fisty
fistyed
fistyer
fistyes
fistying
fistyly
fistys
floozy
floozyed
floozyer
floozyes
floozying
floozyly
floozys
foad
foaded
foader
foades
foading
foadly
foads
fondleed
fondleer
fondlees
fondleing
fondlely
fondles
foobar
foobared
foobarer
foobares
foobaring
foobarly
foobars
freex
freexed
freexer
freexes
freexing
freexly
freexs
frigg
frigga
friggaed
friggaer
friggaes
friggaing
friggaly
friggas
frigged
frigger
frigges
frigging
friggly
friggs
fubar
fubared
fubarer
fubares
fubaring
fubarly
fubars
fuck
fuckass
fuckassed
fuckasser
fuckasses
fuckassing
fuckassly
fuckasss
fucked
fuckeded
fuckeder
fuckedes
fuckeding
fuckedly
fuckeds
fucker
fuckered
fuckerer
fuckeres
fuckering
fuckerly
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Are Direct-to-Consumer Microbiome Tests Clinically Useful?

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Changed
Fri, 04/26/2024 - 09:55

 

Companies selling gut microbiome tests directly to consumers offer up a variety of claims to promote their products.

“We analyze the trillions of microbes in your gut microflora and craft a unique formula for your unique gut needs,” one says. “Get actionable dietary, supplement, and lifestyle recommendations from our microbiome experts based on your results, tailored to mom and baby’s biomarkers. ... Any family member like dads or siblings are welcome too,” says another.

The companies assert that they can improve gut health by offering individuals personalized treatments based on their gut microbiome test results. The trouble is, no provider, company, or technology can reliably do that yet.
 

Clinical Implications, Not Applications

The microbiome is the “constellation of microorganisms that call the human body home,” including many strains of bacteria, fungi, and viruses. That constellation comprises some 39 trillion cells.

Although knowledge is increasing on the oral, cutaneous, and vaginal microbiomes, the gut microbiome is arguably the most studied. However, while research is increasingly demonstrating that the gut microbiome has clinical implications, much work needs to be done before reliable applications based on that research are available.

But lack of scientific evidence and validity hasn’t stopped a growing number of companies across the globe from offering direct-to-consumer (DTC) microbiome tests, Erik C. von Rosenvinge, MD, AGAF, a professor at the University of Maryland School of Medicine and chief of gastroenterology at the VA Maryland Health Care System, Baltimore, said in an interview.

“If you go to their websites, even if it’s not stated overtly, these companies at least give the impression that they’re providing actionable, useful information,” he said. “The sites recommend microbiome testing, and often supplements, probiotics, or other products that they sell. And consumers are told they need to be tested again once they start taking any of these products to see if they’re receiving any benefit.”

Dr. von Rosenvinge and colleagues authored a recent article in Science  arguing that DTC microbiome tests “lack analytical and clinical validity” — and yet regulation of the industry has been “generally ignored.” They identified 31 companies globally, 17 of which are based in the United States, claiming to have products and/or services aimed at changing the intestinal microbiome.
 

Unreliable, Unregulated

The lack of reliability has been shown by experts who have tested the tests.

“People have taken the same stool sample, sent it to multiple companies, and gotten different results back,” Dr. von Rosenvinge said. “People also have taken a stool sample and sent it to the same company under two different names and received two different results. If the test is unreliable at its foundational level, it’s hard to use it in any clinical way.”

Test users’ methods and the companies’ procedures can affect the results, Dina Kao, MD, a professor at the University of Alberta, Edmonton, Alberta, Canada, said in an interview.

“So many biases can be introduced at every single step of the way, starting from how the stool sample was collected and how it’s preserved or not being preserved, because that can introduce a lot of noise that would change the analyses. Which primer they’re using to amplify the signals and which bioinformatic pipeline they use are also important,” said Dr. Kao, who presented at the recent Gut Microbiota for Health World Summit, organized by the American Gastroenterological Association (AGA) and the European Society of Neurogastroenterology and Motility (ESNM).

Different investigators and companies use different technologies, so it’s very difficult to compare them and to create a standard, said Mahmoud Ghannoum, PhD, a professor in the dermatology and pathology departments at Case Western Reserve University School of Medicine and director of the Center for Medical Mycology at University Hospitals in Cleveland.

The complexity of the gut microbiome makes test standardization more difficult than it is when just one organism is involved, Dr. Ghannoum, who chaired the antifungal subcommittee at the Clinical and Laboratory Standards Institute, said in an interview.

“Even though many researchers are focusing on bacteria, we also have fungi and viruses. We need standardization of methods for testing these organisms if we want to have regulations,” said Dr. Ghannoum, a cofounder of BIOHM, a microbiome company that offers nondiagnostic tests and markets a variety of probiotics, prebiotics, and immunity supplements. BIOHM is one of the 31 companies identified by Dr. von Rosenvinge and colleagues, as noted above.

Dr. Ghannoum believes that taking a systematic approach could facilitate standardization and, ultimately, regulation of the DTC microbiome testing products. He and his colleagues described such an approach by outlining the stages for designing probiotics capable of modulating the microbiome in chronic diseases, using Crohn’s disease as a model. Their strategy involved the following steps:

  • Using primary microbiome data to identify, by abundance, the microorganisms underlying dysbiosis.
  • Gaining insight into the interactions among the identified pathogens.
  • Conducting a correlation analysis to identify potential lead probiotic strains that antagonize these pathogens and discovering metabolites that can interrupt their interactions.
  • Creating a prototype formulation for testing.
  • Validating the efficacy of the candidate formulation via preclinical in vitro and in vivo testing.
  • Conducting clinical testing.

Dr. Ghannoum recommends that companies use a similar process “to provide evidence that what they are doing will be helpful, not only for them but also for the reputation of the whole industry.”
 

 

 

Potential Pitfalls

Whether test results from commercial companies are positioned as wellness aids or diagnostic tools, providing advice based on the results “is where the danger can really come in,” Dr. Kao said. “There is still so much we don’t know about which microbial signatures are associated with each condition.”

“Even when we have a solution, like the Crohn’s exclusion diet, a physician doesn’t know enough of the nuances to give advice to a patient,” she said. “That really should be done under the guidance of an expert dietitian. And if a company is selling probiotics, I personally feel that’s not ethical. I’m pretty sure there’s always going to be some kind of conflict of interest.”

Supplements and probiotics are generally safe, but negative consequences can occur, Dr. von Rosenvinge noted.

“We occasionally see people who end up with liver problems as a result of certain supplements, and rarely, probiotics have been associated with infections from those organisms, usually in those with a compromised immune system,” he said.

Other risks include people taking supplements or probiotics when they actually have a medically treatable condition or delays in diagnosis of a potentially serious underlying condition, such as colon cancer, he said. Some patients may stop taking their traditional medication in favor of taking supplements or may experience a drug-supplement interaction if they take both.
 

What to Tell Patients

“Doctors should be advising against this testing for their patients,” gastroenterologist Colleen R. Kelly, MD, AGAF, Brigham and Women’s Hospital, Boston, said in an interview. “I explain to patients that these tests are not validated and are clinically meaningless data and not worth the money. There is a reason they are not covered by insurance.

Dr. Colleen R. Kelly

“Recommendations to purchase probiotics or supplements manufactured by the testing company to ‘restore a balanced or healthy microbiome’ clearly seem like a scam,” she added. “I believe some of these companies are capitalizing on patients who are desperate for answers to explain chronic symptoms, such as bloating in irritable bowel syndrome.”

Dr. von Rosenvinge said that the message to patients “is that the science isn’t there yet to support using the results of these tests in a meaningful way. We believe the microbiome is very important in health and disease, but the tests themselves in their current state are not as reliable and reproducible as we would like.”

When patients come in with test results, the first question a clinician should ask is what led them to seek out this type of information in the first place, Dr. von Rosenvinge said.

“Our patient focus groups suggested that many have not gotten clear, satisfactory answers from traditional medicine,” he said. “We don’t have a single test that says, yes, you have irritable bowel syndrome, or no, you don’t. We might suggest things that are helpful for some people and are less helpful for others.”

Dr. Kelly said she worries that “there are snake oil salesmen and cons out there who will gladly take your money. These may be smart people, capable of doing very high-level testing, and even producing very detailed and accurate results, but that doesn’t mean we know what to do with them.”

She hopes to see a microbiome-based diagnostic test in the future, particularly if the ability to therapeutically manipulate the gut microbiome in various diseases becomes a reality.
 

 

 

Educate Clinicians, Companies

More education is needed on the subject, so we can become “microbial clinicians,” Dr. Kao said.

“The microbiome never came up when I was going through my medical education,” she said. But we, and the next generation of physicians, “need to at least be able to understand the basics.

“Hopefully, one day, we will be in a position where we can have meaningful interpretations of the test results and make some kind of meaningful dietary interventions,” Dr. Kao added.

As for clinicians who are currently ordering these tests and products directly from the DTC companies, Dr. Kao said, “I roll my eyes.”

Dr. Ghannoum reiterated that companies offering microbiome tests and products also need to be educated and encouraged to use systematic approaches to product development and interpretation.

“Companies should be open to calls from clinicians and be ready to explain findings on a report, as well as the basis for any recommendations,” he said.

Dr. von Rosenvinge, Dr. Kao, and Dr. Kelly had no relevant conflicts of interest. Dr. Ghannoum is a cofounder of BIOHM.

A version of this article appeared on Medscape.com.

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Companies selling gut microbiome tests directly to consumers offer up a variety of claims to promote their products.

“We analyze the trillions of microbes in your gut microflora and craft a unique formula for your unique gut needs,” one says. “Get actionable dietary, supplement, and lifestyle recommendations from our microbiome experts based on your results, tailored to mom and baby’s biomarkers. ... Any family member like dads or siblings are welcome too,” says another.

The companies assert that they can improve gut health by offering individuals personalized treatments based on their gut microbiome test results. The trouble is, no provider, company, or technology can reliably do that yet.
 

Clinical Implications, Not Applications

The microbiome is the “constellation of microorganisms that call the human body home,” including many strains of bacteria, fungi, and viruses. That constellation comprises some 39 trillion cells.

Although knowledge is increasing on the oral, cutaneous, and vaginal microbiomes, the gut microbiome is arguably the most studied. However, while research is increasingly demonstrating that the gut microbiome has clinical implications, much work needs to be done before reliable applications based on that research are available.

But lack of scientific evidence and validity hasn’t stopped a growing number of companies across the globe from offering direct-to-consumer (DTC) microbiome tests, Erik C. von Rosenvinge, MD, AGAF, a professor at the University of Maryland School of Medicine and chief of gastroenterology at the VA Maryland Health Care System, Baltimore, said in an interview.

“If you go to their websites, even if it’s not stated overtly, these companies at least give the impression that they’re providing actionable, useful information,” he said. “The sites recommend microbiome testing, and often supplements, probiotics, or other products that they sell. And consumers are told they need to be tested again once they start taking any of these products to see if they’re receiving any benefit.”

Dr. von Rosenvinge and colleagues authored a recent article in Science  arguing that DTC microbiome tests “lack analytical and clinical validity” — and yet regulation of the industry has been “generally ignored.” They identified 31 companies globally, 17 of which are based in the United States, claiming to have products and/or services aimed at changing the intestinal microbiome.
 

Unreliable, Unregulated

The lack of reliability has been shown by experts who have tested the tests.

“People have taken the same stool sample, sent it to multiple companies, and gotten different results back,” Dr. von Rosenvinge said. “People also have taken a stool sample and sent it to the same company under two different names and received two different results. If the test is unreliable at its foundational level, it’s hard to use it in any clinical way.”

Test users’ methods and the companies’ procedures can affect the results, Dina Kao, MD, a professor at the University of Alberta, Edmonton, Alberta, Canada, said in an interview.

“So many biases can be introduced at every single step of the way, starting from how the stool sample was collected and how it’s preserved or not being preserved, because that can introduce a lot of noise that would change the analyses. Which primer they’re using to amplify the signals and which bioinformatic pipeline they use are also important,” said Dr. Kao, who presented at the recent Gut Microbiota for Health World Summit, organized by the American Gastroenterological Association (AGA) and the European Society of Neurogastroenterology and Motility (ESNM).

Different investigators and companies use different technologies, so it’s very difficult to compare them and to create a standard, said Mahmoud Ghannoum, PhD, a professor in the dermatology and pathology departments at Case Western Reserve University School of Medicine and director of the Center for Medical Mycology at University Hospitals in Cleveland.

The complexity of the gut microbiome makes test standardization more difficult than it is when just one organism is involved, Dr. Ghannoum, who chaired the antifungal subcommittee at the Clinical and Laboratory Standards Institute, said in an interview.

“Even though many researchers are focusing on bacteria, we also have fungi and viruses. We need standardization of methods for testing these organisms if we want to have regulations,” said Dr. Ghannoum, a cofounder of BIOHM, a microbiome company that offers nondiagnostic tests and markets a variety of probiotics, prebiotics, and immunity supplements. BIOHM is one of the 31 companies identified by Dr. von Rosenvinge and colleagues, as noted above.

Dr. Ghannoum believes that taking a systematic approach could facilitate standardization and, ultimately, regulation of the DTC microbiome testing products. He and his colleagues described such an approach by outlining the stages for designing probiotics capable of modulating the microbiome in chronic diseases, using Crohn’s disease as a model. Their strategy involved the following steps:

  • Using primary microbiome data to identify, by abundance, the microorganisms underlying dysbiosis.
  • Gaining insight into the interactions among the identified pathogens.
  • Conducting a correlation analysis to identify potential lead probiotic strains that antagonize these pathogens and discovering metabolites that can interrupt their interactions.
  • Creating a prototype formulation for testing.
  • Validating the efficacy of the candidate formulation via preclinical in vitro and in vivo testing.
  • Conducting clinical testing.

Dr. Ghannoum recommends that companies use a similar process “to provide evidence that what they are doing will be helpful, not only for them but also for the reputation of the whole industry.”
 

 

 

Potential Pitfalls

Whether test results from commercial companies are positioned as wellness aids or diagnostic tools, providing advice based on the results “is where the danger can really come in,” Dr. Kao said. “There is still so much we don’t know about which microbial signatures are associated with each condition.”

“Even when we have a solution, like the Crohn’s exclusion diet, a physician doesn’t know enough of the nuances to give advice to a patient,” she said. “That really should be done under the guidance of an expert dietitian. And if a company is selling probiotics, I personally feel that’s not ethical. I’m pretty sure there’s always going to be some kind of conflict of interest.”

Supplements and probiotics are generally safe, but negative consequences can occur, Dr. von Rosenvinge noted.

“We occasionally see people who end up with liver problems as a result of certain supplements, and rarely, probiotics have been associated with infections from those organisms, usually in those with a compromised immune system,” he said.

Other risks include people taking supplements or probiotics when they actually have a medically treatable condition or delays in diagnosis of a potentially serious underlying condition, such as colon cancer, he said. Some patients may stop taking their traditional medication in favor of taking supplements or may experience a drug-supplement interaction if they take both.
 

What to Tell Patients

“Doctors should be advising against this testing for their patients,” gastroenterologist Colleen R. Kelly, MD, AGAF, Brigham and Women’s Hospital, Boston, said in an interview. “I explain to patients that these tests are not validated and are clinically meaningless data and not worth the money. There is a reason they are not covered by insurance.

Dr. Colleen R. Kelly

“Recommendations to purchase probiotics or supplements manufactured by the testing company to ‘restore a balanced or healthy microbiome’ clearly seem like a scam,” she added. “I believe some of these companies are capitalizing on patients who are desperate for answers to explain chronic symptoms, such as bloating in irritable bowel syndrome.”

Dr. von Rosenvinge said that the message to patients “is that the science isn’t there yet to support using the results of these tests in a meaningful way. We believe the microbiome is very important in health and disease, but the tests themselves in their current state are not as reliable and reproducible as we would like.”

When patients come in with test results, the first question a clinician should ask is what led them to seek out this type of information in the first place, Dr. von Rosenvinge said.

“Our patient focus groups suggested that many have not gotten clear, satisfactory answers from traditional medicine,” he said. “We don’t have a single test that says, yes, you have irritable bowel syndrome, or no, you don’t. We might suggest things that are helpful for some people and are less helpful for others.”

Dr. Kelly said she worries that “there are snake oil salesmen and cons out there who will gladly take your money. These may be smart people, capable of doing very high-level testing, and even producing very detailed and accurate results, but that doesn’t mean we know what to do with them.”

She hopes to see a microbiome-based diagnostic test in the future, particularly if the ability to therapeutically manipulate the gut microbiome in various diseases becomes a reality.
 

 

 

Educate Clinicians, Companies

More education is needed on the subject, so we can become “microbial clinicians,” Dr. Kao said.

“The microbiome never came up when I was going through my medical education,” she said. But we, and the next generation of physicians, “need to at least be able to understand the basics.

“Hopefully, one day, we will be in a position where we can have meaningful interpretations of the test results and make some kind of meaningful dietary interventions,” Dr. Kao added.

As for clinicians who are currently ordering these tests and products directly from the DTC companies, Dr. Kao said, “I roll my eyes.”

Dr. Ghannoum reiterated that companies offering microbiome tests and products also need to be educated and encouraged to use systematic approaches to product development and interpretation.

“Companies should be open to calls from clinicians and be ready to explain findings on a report, as well as the basis for any recommendations,” he said.

Dr. von Rosenvinge, Dr. Kao, and Dr. Kelly had no relevant conflicts of interest. Dr. Ghannoum is a cofounder of BIOHM.

A version of this article appeared on Medscape.com.

 

Companies selling gut microbiome tests directly to consumers offer up a variety of claims to promote their products.

“We analyze the trillions of microbes in your gut microflora and craft a unique formula for your unique gut needs,” one says. “Get actionable dietary, supplement, and lifestyle recommendations from our microbiome experts based on your results, tailored to mom and baby’s biomarkers. ... Any family member like dads or siblings are welcome too,” says another.

The companies assert that they can improve gut health by offering individuals personalized treatments based on their gut microbiome test results. The trouble is, no provider, company, or technology can reliably do that yet.
 

Clinical Implications, Not Applications

The microbiome is the “constellation of microorganisms that call the human body home,” including many strains of bacteria, fungi, and viruses. That constellation comprises some 39 trillion cells.

Although knowledge is increasing on the oral, cutaneous, and vaginal microbiomes, the gut microbiome is arguably the most studied. However, while research is increasingly demonstrating that the gut microbiome has clinical implications, much work needs to be done before reliable applications based on that research are available.

But lack of scientific evidence and validity hasn’t stopped a growing number of companies across the globe from offering direct-to-consumer (DTC) microbiome tests, Erik C. von Rosenvinge, MD, AGAF, a professor at the University of Maryland School of Medicine and chief of gastroenterology at the VA Maryland Health Care System, Baltimore, said in an interview.

“If you go to their websites, even if it’s not stated overtly, these companies at least give the impression that they’re providing actionable, useful information,” he said. “The sites recommend microbiome testing, and often supplements, probiotics, or other products that they sell. And consumers are told they need to be tested again once they start taking any of these products to see if they’re receiving any benefit.”

Dr. von Rosenvinge and colleagues authored a recent article in Science  arguing that DTC microbiome tests “lack analytical and clinical validity” — and yet regulation of the industry has been “generally ignored.” They identified 31 companies globally, 17 of which are based in the United States, claiming to have products and/or services aimed at changing the intestinal microbiome.
 

Unreliable, Unregulated

The lack of reliability has been shown by experts who have tested the tests.

“People have taken the same stool sample, sent it to multiple companies, and gotten different results back,” Dr. von Rosenvinge said. “People also have taken a stool sample and sent it to the same company under two different names and received two different results. If the test is unreliable at its foundational level, it’s hard to use it in any clinical way.”

Test users’ methods and the companies’ procedures can affect the results, Dina Kao, MD, a professor at the University of Alberta, Edmonton, Alberta, Canada, said in an interview.

“So many biases can be introduced at every single step of the way, starting from how the stool sample was collected and how it’s preserved or not being preserved, because that can introduce a lot of noise that would change the analyses. Which primer they’re using to amplify the signals and which bioinformatic pipeline they use are also important,” said Dr. Kao, who presented at the recent Gut Microbiota for Health World Summit, organized by the American Gastroenterological Association (AGA) and the European Society of Neurogastroenterology and Motility (ESNM).

Different investigators and companies use different technologies, so it’s very difficult to compare them and to create a standard, said Mahmoud Ghannoum, PhD, a professor in the dermatology and pathology departments at Case Western Reserve University School of Medicine and director of the Center for Medical Mycology at University Hospitals in Cleveland.

The complexity of the gut microbiome makes test standardization more difficult than it is when just one organism is involved, Dr. Ghannoum, who chaired the antifungal subcommittee at the Clinical and Laboratory Standards Institute, said in an interview.

“Even though many researchers are focusing on bacteria, we also have fungi and viruses. We need standardization of methods for testing these organisms if we want to have regulations,” said Dr. Ghannoum, a cofounder of BIOHM, a microbiome company that offers nondiagnostic tests and markets a variety of probiotics, prebiotics, and immunity supplements. BIOHM is one of the 31 companies identified by Dr. von Rosenvinge and colleagues, as noted above.

Dr. Ghannoum believes that taking a systematic approach could facilitate standardization and, ultimately, regulation of the DTC microbiome testing products. He and his colleagues described such an approach by outlining the stages for designing probiotics capable of modulating the microbiome in chronic diseases, using Crohn’s disease as a model. Their strategy involved the following steps:

  • Using primary microbiome data to identify, by abundance, the microorganisms underlying dysbiosis.
  • Gaining insight into the interactions among the identified pathogens.
  • Conducting a correlation analysis to identify potential lead probiotic strains that antagonize these pathogens and discovering metabolites that can interrupt their interactions.
  • Creating a prototype formulation for testing.
  • Validating the efficacy of the candidate formulation via preclinical in vitro and in vivo testing.
  • Conducting clinical testing.

Dr. Ghannoum recommends that companies use a similar process “to provide evidence that what they are doing will be helpful, not only for them but also for the reputation of the whole industry.”
 

 

 

Potential Pitfalls

Whether test results from commercial companies are positioned as wellness aids or diagnostic tools, providing advice based on the results “is where the danger can really come in,” Dr. Kao said. “There is still so much we don’t know about which microbial signatures are associated with each condition.”

“Even when we have a solution, like the Crohn’s exclusion diet, a physician doesn’t know enough of the nuances to give advice to a patient,” she said. “That really should be done under the guidance of an expert dietitian. And if a company is selling probiotics, I personally feel that’s not ethical. I’m pretty sure there’s always going to be some kind of conflict of interest.”

Supplements and probiotics are generally safe, but negative consequences can occur, Dr. von Rosenvinge noted.

“We occasionally see people who end up with liver problems as a result of certain supplements, and rarely, probiotics have been associated with infections from those organisms, usually in those with a compromised immune system,” he said.

Other risks include people taking supplements or probiotics when they actually have a medically treatable condition or delays in diagnosis of a potentially serious underlying condition, such as colon cancer, he said. Some patients may stop taking their traditional medication in favor of taking supplements or may experience a drug-supplement interaction if they take both.
 

What to Tell Patients

“Doctors should be advising against this testing for their patients,” gastroenterologist Colleen R. Kelly, MD, AGAF, Brigham and Women’s Hospital, Boston, said in an interview. “I explain to patients that these tests are not validated and are clinically meaningless data and not worth the money. There is a reason they are not covered by insurance.

Dr. Colleen R. Kelly

“Recommendations to purchase probiotics or supplements manufactured by the testing company to ‘restore a balanced or healthy microbiome’ clearly seem like a scam,” she added. “I believe some of these companies are capitalizing on patients who are desperate for answers to explain chronic symptoms, such as bloating in irritable bowel syndrome.”

Dr. von Rosenvinge said that the message to patients “is that the science isn’t there yet to support using the results of these tests in a meaningful way. We believe the microbiome is very important in health and disease, but the tests themselves in their current state are not as reliable and reproducible as we would like.”

When patients come in with test results, the first question a clinician should ask is what led them to seek out this type of information in the first place, Dr. von Rosenvinge said.

“Our patient focus groups suggested that many have not gotten clear, satisfactory answers from traditional medicine,” he said. “We don’t have a single test that says, yes, you have irritable bowel syndrome, or no, you don’t. We might suggest things that are helpful for some people and are less helpful for others.”

Dr. Kelly said she worries that “there are snake oil salesmen and cons out there who will gladly take your money. These may be smart people, capable of doing very high-level testing, and even producing very detailed and accurate results, but that doesn’t mean we know what to do with them.”

She hopes to see a microbiome-based diagnostic test in the future, particularly if the ability to therapeutically manipulate the gut microbiome in various diseases becomes a reality.
 

 

 

Educate Clinicians, Companies

More education is needed on the subject, so we can become “microbial clinicians,” Dr. Kao said.

“The microbiome never came up when I was going through my medical education,” she said. But we, and the next generation of physicians, “need to at least be able to understand the basics.

“Hopefully, one day, we will be in a position where we can have meaningful interpretations of the test results and make some kind of meaningful dietary interventions,” Dr. Kao added.

As for clinicians who are currently ordering these tests and products directly from the DTC companies, Dr. Kao said, “I roll my eyes.”

Dr. Ghannoum reiterated that companies offering microbiome tests and products also need to be educated and encouraged to use systematic approaches to product development and interpretation.

“Companies should be open to calls from clinicians and be ready to explain findings on a report, as well as the basis for any recommendations,” he said.

Dr. von Rosenvinge, Dr. Kao, and Dr. Kelly had no relevant conflicts of interest. Dr. Ghannoum is a cofounder of BIOHM.

A version of this article appeared on Medscape.com.

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Federal Trade Commission Bans Noncompete Agreements, Urges More Protections for Healthcare Workers

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Changed
Wed, 04/24/2024 - 12:35

 

The Federal Trade Commission (FTC) voted Tuesday to ban noncompete agreements, possibly making it easier for doctors to switch employers without having to leave their communities and patients behind. But business groups have vowed to challenge the decision in court.

The proposed final rule passed on a 3-2 vote, with the dissenting commissioners disputing the FTC’s authority to broadly ban noncompetes.

Tensions around noncompetes have been building for years. In 2021, President Biden issued an executive order supporting measures to improve economic competition, in which he urged the FTC to consider its rulemaking authority to address noncompete clauses that unfairly limit workers’ mobility. In January 2023, per that directive, the agency proposed ending the restrictive covenants.

While the FTC estimates that the final rule will reduce healthcare costs by up to $194 billion over the next decade and increase worker earnings by $300 million annually, the ruling faces legal hurdles.

US Chamber of Commerce president and CEO Suzanne P. Clark said in a statement that the move is a “blatant power grab” that will undermine competitive business practices, adding that the Chamber will sue to block the measure.

The FTC received more than 26,000 comments on noncompetes during the public feedback period, with about 25,000 supporting the measure, said Benjamin Cady, JD, an FTC attorney.

Mr. Cady called the feedback “compelling,” citing instances of workers who were forced to commute long distances, uproot their families, or risk expensive litigation for wanting to pursue job opportunities.

For example, a comment from a physician working in Appalachia highlights the potential real-life implications of the agreements. “With hospital systems merging, providers with aggressive noncompetes must abandon the community that they serve if they [choose] to leave their employer. Healthcare providers feel trapped in their current employment situation, leading to significant burnout that can shorten their [career] longevity.”

Commissioner Alvaro Bedoya said physicians have had their lives upended by cumbersome noncompetes, often having to move out of state to practice. “A pandemic killed a million people in this country, and there are doctors who cannot work because of a noncompete,” he said.

It’s unclear whether physicians and others who work for nonprofit healthcare groups or hospitals will be covered by the new ban. FTC Commissioner Rebecca Slaughter acknowledged that the agency’s jurisdictional limitations mean that employees of “certain nonprofit organizations” may not benefit from the rule.

“We want to be transparent about the limitation and recognize there are workers, especially healthcare workers, who are bound by anticompetitive and unfair noncompete clauses, that our rule will struggle to reach,” she said. To cover nonprofit healthcare employees, Ms. Slaughter urged Congress to pass legislation banning noncompetes, such as the Workforce Mobility Act of 2021 and the Freedom to Compete Act of 2023.

The FTC final rule will take effect 120 days after it is published in the federal register, and new noncompete agreements will be banned as of this date. However, existing contracts for senior executives will remain in effect because these individuals are less likely to experience “acute harm” due to their ability to negotiate accordingly, said Mr. Cady.
 

States, AMA Take Aim at Noncompetes

Before the federal ban, several states had already passed legislation limiting the reach of noncompetes. According to a recent article in the Journal of the American College of Cardiology12 states prohibit noncompete clauses for physicians: Alabama, California, Colorado, Delaware, Massachusetts, Montana, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and South Dakota.

The remaining states allow noncompetes in some form, often excluding them for employees earning below a certain threshold. For example, in Oregon, noncompete agreements may apply to employees earning more than $113,241. Most states have provisions to adjust the threshold annually. The District of Columbia permits 2-year noncompetes for “medical specialists” earning over $250,000 annually.

Indiana employers can no longer enter into noncompete agreements with primary care providers. Other specialties may be subject to the clauses, except when the physician terminates the contract for cause or when an employer terminates the contract without cause.

Rachel Marcus, MD, a cardiologist in Washington, DC, found out how limiting her employment contract’s noncompete clause was when she wanted to leave a former position. Due to the restrictions, she told this news organization that she couldn’t work locally for a competitor for 2 years. The closest location she could seek employment without violating the agreement was Baltimore, approximately 40 miles away.

Dr. Marcus ultimately moved to another position within the same organization because of the company’s reputation for being “aggressive” in their enforcement actions.

Although the American Medical Association (AMA) does not support a total ban, its House of Delegates adopted policies last year to support the prohibition of noncompete contracts for physicians employed by for-profit or nonprofit hospitals, hospital systems, or staffing companies.
 

 

 

Challenges Await

The American Hospital Association, which opposed the proposed rule, called it “bad policy.” The decision “will likely be short-lived, with courts almost certain to stop it before it can do damage to hospitals’ ability to care for their patients and communities,” the association said in a statement.

To ease the transition to the new rule, the FTC also released a model language for employers to use when discussing the changes with their employees. “All employers need to do to comply with the rule is to stop enforcing existing noncompetes with workers other than senior executives and provide notice to such workers,” he said.

Dr. Marcus hopes the ban improves doctors’ lives. “Your employer is going to have to treat you better because they know that you can easily go across town to a place that has a higher salary, and your patient can go with you.”

A version of this article appeared on Medscape.com.

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The Federal Trade Commission (FTC) voted Tuesday to ban noncompete agreements, possibly making it easier for doctors to switch employers without having to leave their communities and patients behind. But business groups have vowed to challenge the decision in court.

The proposed final rule passed on a 3-2 vote, with the dissenting commissioners disputing the FTC’s authority to broadly ban noncompetes.

Tensions around noncompetes have been building for years. In 2021, President Biden issued an executive order supporting measures to improve economic competition, in which he urged the FTC to consider its rulemaking authority to address noncompete clauses that unfairly limit workers’ mobility. In January 2023, per that directive, the agency proposed ending the restrictive covenants.

While the FTC estimates that the final rule will reduce healthcare costs by up to $194 billion over the next decade and increase worker earnings by $300 million annually, the ruling faces legal hurdles.

US Chamber of Commerce president and CEO Suzanne P. Clark said in a statement that the move is a “blatant power grab” that will undermine competitive business practices, adding that the Chamber will sue to block the measure.

The FTC received more than 26,000 comments on noncompetes during the public feedback period, with about 25,000 supporting the measure, said Benjamin Cady, JD, an FTC attorney.

Mr. Cady called the feedback “compelling,” citing instances of workers who were forced to commute long distances, uproot their families, or risk expensive litigation for wanting to pursue job opportunities.

For example, a comment from a physician working in Appalachia highlights the potential real-life implications of the agreements. “With hospital systems merging, providers with aggressive noncompetes must abandon the community that they serve if they [choose] to leave their employer. Healthcare providers feel trapped in their current employment situation, leading to significant burnout that can shorten their [career] longevity.”

Commissioner Alvaro Bedoya said physicians have had their lives upended by cumbersome noncompetes, often having to move out of state to practice. “A pandemic killed a million people in this country, and there are doctors who cannot work because of a noncompete,” he said.

It’s unclear whether physicians and others who work for nonprofit healthcare groups or hospitals will be covered by the new ban. FTC Commissioner Rebecca Slaughter acknowledged that the agency’s jurisdictional limitations mean that employees of “certain nonprofit organizations” may not benefit from the rule.

“We want to be transparent about the limitation and recognize there are workers, especially healthcare workers, who are bound by anticompetitive and unfair noncompete clauses, that our rule will struggle to reach,” she said. To cover nonprofit healthcare employees, Ms. Slaughter urged Congress to pass legislation banning noncompetes, such as the Workforce Mobility Act of 2021 and the Freedom to Compete Act of 2023.

The FTC final rule will take effect 120 days after it is published in the federal register, and new noncompete agreements will be banned as of this date. However, existing contracts for senior executives will remain in effect because these individuals are less likely to experience “acute harm” due to their ability to negotiate accordingly, said Mr. Cady.
 

States, AMA Take Aim at Noncompetes

Before the federal ban, several states had already passed legislation limiting the reach of noncompetes. According to a recent article in the Journal of the American College of Cardiology12 states prohibit noncompete clauses for physicians: Alabama, California, Colorado, Delaware, Massachusetts, Montana, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and South Dakota.

The remaining states allow noncompetes in some form, often excluding them for employees earning below a certain threshold. For example, in Oregon, noncompete agreements may apply to employees earning more than $113,241. Most states have provisions to adjust the threshold annually. The District of Columbia permits 2-year noncompetes for “medical specialists” earning over $250,000 annually.

Indiana employers can no longer enter into noncompete agreements with primary care providers. Other specialties may be subject to the clauses, except when the physician terminates the contract for cause or when an employer terminates the contract without cause.

Rachel Marcus, MD, a cardiologist in Washington, DC, found out how limiting her employment contract’s noncompete clause was when she wanted to leave a former position. Due to the restrictions, she told this news organization that she couldn’t work locally for a competitor for 2 years. The closest location she could seek employment without violating the agreement was Baltimore, approximately 40 miles away.

Dr. Marcus ultimately moved to another position within the same organization because of the company’s reputation for being “aggressive” in their enforcement actions.

Although the American Medical Association (AMA) does not support a total ban, its House of Delegates adopted policies last year to support the prohibition of noncompete contracts for physicians employed by for-profit or nonprofit hospitals, hospital systems, or staffing companies.
 

 

 

Challenges Await

The American Hospital Association, which opposed the proposed rule, called it “bad policy.” The decision “will likely be short-lived, with courts almost certain to stop it before it can do damage to hospitals’ ability to care for their patients and communities,” the association said in a statement.

To ease the transition to the new rule, the FTC also released a model language for employers to use when discussing the changes with their employees. “All employers need to do to comply with the rule is to stop enforcing existing noncompetes with workers other than senior executives and provide notice to such workers,” he said.

Dr. Marcus hopes the ban improves doctors’ lives. “Your employer is going to have to treat you better because they know that you can easily go across town to a place that has a higher salary, and your patient can go with you.”

A version of this article appeared on Medscape.com.

 

The Federal Trade Commission (FTC) voted Tuesday to ban noncompete agreements, possibly making it easier for doctors to switch employers without having to leave their communities and patients behind. But business groups have vowed to challenge the decision in court.

The proposed final rule passed on a 3-2 vote, with the dissenting commissioners disputing the FTC’s authority to broadly ban noncompetes.

Tensions around noncompetes have been building for years. In 2021, President Biden issued an executive order supporting measures to improve economic competition, in which he urged the FTC to consider its rulemaking authority to address noncompete clauses that unfairly limit workers’ mobility. In January 2023, per that directive, the agency proposed ending the restrictive covenants.

While the FTC estimates that the final rule will reduce healthcare costs by up to $194 billion over the next decade and increase worker earnings by $300 million annually, the ruling faces legal hurdles.

US Chamber of Commerce president and CEO Suzanne P. Clark said in a statement that the move is a “blatant power grab” that will undermine competitive business practices, adding that the Chamber will sue to block the measure.

The FTC received more than 26,000 comments on noncompetes during the public feedback period, with about 25,000 supporting the measure, said Benjamin Cady, JD, an FTC attorney.

Mr. Cady called the feedback “compelling,” citing instances of workers who were forced to commute long distances, uproot their families, or risk expensive litigation for wanting to pursue job opportunities.

For example, a comment from a physician working in Appalachia highlights the potential real-life implications of the agreements. “With hospital systems merging, providers with aggressive noncompetes must abandon the community that they serve if they [choose] to leave their employer. Healthcare providers feel trapped in their current employment situation, leading to significant burnout that can shorten their [career] longevity.”

Commissioner Alvaro Bedoya said physicians have had their lives upended by cumbersome noncompetes, often having to move out of state to practice. “A pandemic killed a million people in this country, and there are doctors who cannot work because of a noncompete,” he said.

It’s unclear whether physicians and others who work for nonprofit healthcare groups or hospitals will be covered by the new ban. FTC Commissioner Rebecca Slaughter acknowledged that the agency’s jurisdictional limitations mean that employees of “certain nonprofit organizations” may not benefit from the rule.

“We want to be transparent about the limitation and recognize there are workers, especially healthcare workers, who are bound by anticompetitive and unfair noncompete clauses, that our rule will struggle to reach,” she said. To cover nonprofit healthcare employees, Ms. Slaughter urged Congress to pass legislation banning noncompetes, such as the Workforce Mobility Act of 2021 and the Freedom to Compete Act of 2023.

The FTC final rule will take effect 120 days after it is published in the federal register, and new noncompete agreements will be banned as of this date. However, existing contracts for senior executives will remain in effect because these individuals are less likely to experience “acute harm” due to their ability to negotiate accordingly, said Mr. Cady.
 

States, AMA Take Aim at Noncompetes

Before the federal ban, several states had already passed legislation limiting the reach of noncompetes. According to a recent article in the Journal of the American College of Cardiology12 states prohibit noncompete clauses for physicians: Alabama, California, Colorado, Delaware, Massachusetts, Montana, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and South Dakota.

The remaining states allow noncompetes in some form, often excluding them for employees earning below a certain threshold. For example, in Oregon, noncompete agreements may apply to employees earning more than $113,241. Most states have provisions to adjust the threshold annually. The District of Columbia permits 2-year noncompetes for “medical specialists” earning over $250,000 annually.

Indiana employers can no longer enter into noncompete agreements with primary care providers. Other specialties may be subject to the clauses, except when the physician terminates the contract for cause or when an employer terminates the contract without cause.

Rachel Marcus, MD, a cardiologist in Washington, DC, found out how limiting her employment contract’s noncompete clause was when she wanted to leave a former position. Due to the restrictions, she told this news organization that she couldn’t work locally for a competitor for 2 years. The closest location she could seek employment without violating the agreement was Baltimore, approximately 40 miles away.

Dr. Marcus ultimately moved to another position within the same organization because of the company’s reputation for being “aggressive” in their enforcement actions.

Although the American Medical Association (AMA) does not support a total ban, its House of Delegates adopted policies last year to support the prohibition of noncompete contracts for physicians employed by for-profit or nonprofit hospitals, hospital systems, or staffing companies.
 

 

 

Challenges Await

The American Hospital Association, which opposed the proposed rule, called it “bad policy.” The decision “will likely be short-lived, with courts almost certain to stop it before it can do damage to hospitals’ ability to care for their patients and communities,” the association said in a statement.

To ease the transition to the new rule, the FTC also released a model language for employers to use when discussing the changes with their employees. “All employers need to do to comply with the rule is to stop enforcing existing noncompetes with workers other than senior executives and provide notice to such workers,” he said.

Dr. Marcus hopes the ban improves doctors’ lives. “Your employer is going to have to treat you better because they know that you can easily go across town to a place that has a higher salary, and your patient can go with you.”

A version of this article appeared on Medscape.com.

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Are Women Better Doctors Than Men?

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Changed
Wed, 04/24/2024 - 11:41

 



This transcript has been edited for clarity.

It’s a battle of the sexes today as we dive into a paper that makes you say, “Wow, what an interesting study” and also “Boy, am I glad I didn’t do that study.” That’s because studies like this are always somewhat fraught; they say something about medicine but also something about society — and that makes this a bit precarious. But that’s never stopped us before. So, let’s go ahead and try to answer the question: Do women make better doctors than men?

On the surface, this question seems nearly impossible to answer. It’s too broad; what does it mean to be a “better” doctor? At first blush it seems that there are just too many variables to control for here: the type of doctor, the type of patient, the clinical scenario, and so on.

But this study, “Comparison of hospital mortality and readmission rates by physician and patient sex,” which appears in Annals of Internal Medicine, uses a fairly ingenious method to cut through all the bias by leveraging two simple facts: First, hospital medicine is largely conducted by hospitalists these days; second, due to the shift-based nature of hospitalist work, the hospitalist you get when you are admitted to the hospital is pretty much random.

In other words, if you are admitted to the hospital for an acute illness and get a hospitalist as your attending, you have no control over whether it is a man or a woman. Is this a randomized trial? No, but it’s not bad.

Researchers used Medicare claims data to identify adults over age 65 who had nonelective hospital admissions throughout the United States. The claims revealed the sex of the patient and the name of the attending physician. By linking to a medical provider database, they could determine the sex of the provider.

The goal was to look at outcomes across four dyads:

  • Male patient – male doctor
  • Male patient – female doctor
  • Female patient – male doctor
  • Female patient – female doctor

The primary outcome was 30-day mortality.

I told you that focusing on hospitalists produces some pseudorandomization, but let’s look at the data to be sure. Just under a million patients were treated by approximately 50,000 physicians, 30% of whom were female. And, though female patients and male patients differed, they did not differ with respect to the sex of their hospitalist. So, by physician sex, patients were similar in mean age, race, ethnicity, household income, eligibility for Medicaid, and comorbid conditions. The authors even created a “predicted mortality” score which was similar across the groups as well.

Dr. Wilson


Now, the female physicians were a bit different from the male physicians. The female hospitalists were slightly more likely to have an osteopathic degree, had slightly fewer admissions per year, and were a bit younger.

So, we have broadly similar patients regardless of who their hospitalist was, but hospitalists differ by factors other than their sex. Fine.

I’ve graphed the results here. Female patients had a significantly lower 30-day mortality rate than male patients, but they fared even better when cared for by female doctors compared with male doctors. There wasn’t a particularly strong influence of physician sex on outcomes for male patients. The secondary outcome, 30-day hospital readmission, showed a similar trend.

Dr. Wilson


This is a relatively small effect, to be sure, but if you multiply it across the millions of hospitalist admissions per year, you can start to put up some real numbers.

So, what is going on here? I see four broad buckets of possibilities.

Let’s start with the obvious explanation: Women, on average, are better doctors than men. I am married to a woman doctor, and based on my personal experience, this explanation is undoubtedly true. But why would that be?

The authors cite data that suggest that female physicians are less likely than male physicians to dismiss patient concerns — and in particular, the concerns of female patients — perhaps leading to fewer missed diagnoses. But this is impossible to measure with administrative data, so this study can no more tell us whether these female hospitalists are more attentive than their male counterparts than it can suggest that the benefit is mediated by the shorter average height of female physicians. Perhaps the key is being closer to the patient?

The second possibility here is that this has nothing to do with the sex of the physician at all; it has to do with those other things that associate with the sex of the physician. We know, for example, that the female physicians saw fewer patients per year than the male physicians, but the study authors adjusted for this in the statistical models. Still, other unmeasured factors (confounders) could be present. By the way, confounders wouldn’t necessarily change the primary finding — you are better off being cared for by female physicians. It’s just not because they are female; it’s a convenient marker for some other quality, such as age.

The third possibility is that the study represents a phenomenon called collider bias. The idea here is that physicians only get into the study if they are hospitalists, and the quality of physicians who choose to become a hospitalist may differ by sex. When deciding on a specialty, a talented resident considering certain lifestyle issues may find hospital medicine particularly attractive — and that draw toward a more lifestyle-friendly specialty may differ by sex, as some prior studies have shown. If true, the pool of women hospitalists may be better than their male counterparts because male physicians of that caliber don’t become hospitalists.

Okay, don’t write in. I’m just trying to cite examples of how to think about collider bias. I can’t prove that this is the case, and in fact the authors do a sensitivity analysis of all physicians, not just hospitalists, and show the same thing. So this is probably not true, but epidemiology is fun, right?

And the fourth possibility: This is nothing but statistical noise. The effect size is incredibly small and just on the border of statistical significance. Especially when you’re working with very large datasets like this, you’ve got to be really careful about overinterpreting statistically significant findings that are nevertheless of small magnitude.

Regardless, it’s an interesting study, one that made me think and, of course, worry a bit about how I would present it. Forgive me if I’ve been indelicate in handling the complex issues of sex, gender, and society here. But I’m not sure what you expect; after all, I’m only a male doctor.

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

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This transcript has been edited for clarity.

It’s a battle of the sexes today as we dive into a paper that makes you say, “Wow, what an interesting study” and also “Boy, am I glad I didn’t do that study.” That’s because studies like this are always somewhat fraught; they say something about medicine but also something about society — and that makes this a bit precarious. But that’s never stopped us before. So, let’s go ahead and try to answer the question: Do women make better doctors than men?

On the surface, this question seems nearly impossible to answer. It’s too broad; what does it mean to be a “better” doctor? At first blush it seems that there are just too many variables to control for here: the type of doctor, the type of patient, the clinical scenario, and so on.

But this study, “Comparison of hospital mortality and readmission rates by physician and patient sex,” which appears in Annals of Internal Medicine, uses a fairly ingenious method to cut through all the bias by leveraging two simple facts: First, hospital medicine is largely conducted by hospitalists these days; second, due to the shift-based nature of hospitalist work, the hospitalist you get when you are admitted to the hospital is pretty much random.

In other words, if you are admitted to the hospital for an acute illness and get a hospitalist as your attending, you have no control over whether it is a man or a woman. Is this a randomized trial? No, but it’s not bad.

Researchers used Medicare claims data to identify adults over age 65 who had nonelective hospital admissions throughout the United States. The claims revealed the sex of the patient and the name of the attending physician. By linking to a medical provider database, they could determine the sex of the provider.

The goal was to look at outcomes across four dyads:

  • Male patient – male doctor
  • Male patient – female doctor
  • Female patient – male doctor
  • Female patient – female doctor

The primary outcome was 30-day mortality.

I told you that focusing on hospitalists produces some pseudorandomization, but let’s look at the data to be sure. Just under a million patients were treated by approximately 50,000 physicians, 30% of whom were female. And, though female patients and male patients differed, they did not differ with respect to the sex of their hospitalist. So, by physician sex, patients were similar in mean age, race, ethnicity, household income, eligibility for Medicaid, and comorbid conditions. The authors even created a “predicted mortality” score which was similar across the groups as well.

Dr. Wilson


Now, the female physicians were a bit different from the male physicians. The female hospitalists were slightly more likely to have an osteopathic degree, had slightly fewer admissions per year, and were a bit younger.

So, we have broadly similar patients regardless of who their hospitalist was, but hospitalists differ by factors other than their sex. Fine.

I’ve graphed the results here. Female patients had a significantly lower 30-day mortality rate than male patients, but they fared even better when cared for by female doctors compared with male doctors. There wasn’t a particularly strong influence of physician sex on outcomes for male patients. The secondary outcome, 30-day hospital readmission, showed a similar trend.

Dr. Wilson


This is a relatively small effect, to be sure, but if you multiply it across the millions of hospitalist admissions per year, you can start to put up some real numbers.

So, what is going on here? I see four broad buckets of possibilities.

Let’s start with the obvious explanation: Women, on average, are better doctors than men. I am married to a woman doctor, and based on my personal experience, this explanation is undoubtedly true. But why would that be?

The authors cite data that suggest that female physicians are less likely than male physicians to dismiss patient concerns — and in particular, the concerns of female patients — perhaps leading to fewer missed diagnoses. But this is impossible to measure with administrative data, so this study can no more tell us whether these female hospitalists are more attentive than their male counterparts than it can suggest that the benefit is mediated by the shorter average height of female physicians. Perhaps the key is being closer to the patient?

The second possibility here is that this has nothing to do with the sex of the physician at all; it has to do with those other things that associate with the sex of the physician. We know, for example, that the female physicians saw fewer patients per year than the male physicians, but the study authors adjusted for this in the statistical models. Still, other unmeasured factors (confounders) could be present. By the way, confounders wouldn’t necessarily change the primary finding — you are better off being cared for by female physicians. It’s just not because they are female; it’s a convenient marker for some other quality, such as age.

The third possibility is that the study represents a phenomenon called collider bias. The idea here is that physicians only get into the study if they are hospitalists, and the quality of physicians who choose to become a hospitalist may differ by sex. When deciding on a specialty, a talented resident considering certain lifestyle issues may find hospital medicine particularly attractive — and that draw toward a more lifestyle-friendly specialty may differ by sex, as some prior studies have shown. If true, the pool of women hospitalists may be better than their male counterparts because male physicians of that caliber don’t become hospitalists.

Okay, don’t write in. I’m just trying to cite examples of how to think about collider bias. I can’t prove that this is the case, and in fact the authors do a sensitivity analysis of all physicians, not just hospitalists, and show the same thing. So this is probably not true, but epidemiology is fun, right?

And the fourth possibility: This is nothing but statistical noise. The effect size is incredibly small and just on the border of statistical significance. Especially when you’re working with very large datasets like this, you’ve got to be really careful about overinterpreting statistically significant findings that are nevertheless of small magnitude.

Regardless, it’s an interesting study, one that made me think and, of course, worry a bit about how I would present it. Forgive me if I’ve been indelicate in handling the complex issues of sex, gender, and society here. But I’m not sure what you expect; after all, I’m only a male doctor.

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

 



This transcript has been edited for clarity.

It’s a battle of the sexes today as we dive into a paper that makes you say, “Wow, what an interesting study” and also “Boy, am I glad I didn’t do that study.” That’s because studies like this are always somewhat fraught; they say something about medicine but also something about society — and that makes this a bit precarious. But that’s never stopped us before. So, let’s go ahead and try to answer the question: Do women make better doctors than men?

On the surface, this question seems nearly impossible to answer. It’s too broad; what does it mean to be a “better” doctor? At first blush it seems that there are just too many variables to control for here: the type of doctor, the type of patient, the clinical scenario, and so on.

But this study, “Comparison of hospital mortality and readmission rates by physician and patient sex,” which appears in Annals of Internal Medicine, uses a fairly ingenious method to cut through all the bias by leveraging two simple facts: First, hospital medicine is largely conducted by hospitalists these days; second, due to the shift-based nature of hospitalist work, the hospitalist you get when you are admitted to the hospital is pretty much random.

In other words, if you are admitted to the hospital for an acute illness and get a hospitalist as your attending, you have no control over whether it is a man or a woman. Is this a randomized trial? No, but it’s not bad.

Researchers used Medicare claims data to identify adults over age 65 who had nonelective hospital admissions throughout the United States. The claims revealed the sex of the patient and the name of the attending physician. By linking to a medical provider database, they could determine the sex of the provider.

The goal was to look at outcomes across four dyads:

  • Male patient – male doctor
  • Male patient – female doctor
  • Female patient – male doctor
  • Female patient – female doctor

The primary outcome was 30-day mortality.

I told you that focusing on hospitalists produces some pseudorandomization, but let’s look at the data to be sure. Just under a million patients were treated by approximately 50,000 physicians, 30% of whom were female. And, though female patients and male patients differed, they did not differ with respect to the sex of their hospitalist. So, by physician sex, patients were similar in mean age, race, ethnicity, household income, eligibility for Medicaid, and comorbid conditions. The authors even created a “predicted mortality” score which was similar across the groups as well.

Dr. Wilson


Now, the female physicians were a bit different from the male physicians. The female hospitalists were slightly more likely to have an osteopathic degree, had slightly fewer admissions per year, and were a bit younger.

So, we have broadly similar patients regardless of who their hospitalist was, but hospitalists differ by factors other than their sex. Fine.

I’ve graphed the results here. Female patients had a significantly lower 30-day mortality rate than male patients, but they fared even better when cared for by female doctors compared with male doctors. There wasn’t a particularly strong influence of physician sex on outcomes for male patients. The secondary outcome, 30-day hospital readmission, showed a similar trend.

Dr. Wilson


This is a relatively small effect, to be sure, but if you multiply it across the millions of hospitalist admissions per year, you can start to put up some real numbers.

So, what is going on here? I see four broad buckets of possibilities.

Let’s start with the obvious explanation: Women, on average, are better doctors than men. I am married to a woman doctor, and based on my personal experience, this explanation is undoubtedly true. But why would that be?

The authors cite data that suggest that female physicians are less likely than male physicians to dismiss patient concerns — and in particular, the concerns of female patients — perhaps leading to fewer missed diagnoses. But this is impossible to measure with administrative data, so this study can no more tell us whether these female hospitalists are more attentive than their male counterparts than it can suggest that the benefit is mediated by the shorter average height of female physicians. Perhaps the key is being closer to the patient?

The second possibility here is that this has nothing to do with the sex of the physician at all; it has to do with those other things that associate with the sex of the physician. We know, for example, that the female physicians saw fewer patients per year than the male physicians, but the study authors adjusted for this in the statistical models. Still, other unmeasured factors (confounders) could be present. By the way, confounders wouldn’t necessarily change the primary finding — you are better off being cared for by female physicians. It’s just not because they are female; it’s a convenient marker for some other quality, such as age.

The third possibility is that the study represents a phenomenon called collider bias. The idea here is that physicians only get into the study if they are hospitalists, and the quality of physicians who choose to become a hospitalist may differ by sex. When deciding on a specialty, a talented resident considering certain lifestyle issues may find hospital medicine particularly attractive — and that draw toward a more lifestyle-friendly specialty may differ by sex, as some prior studies have shown. If true, the pool of women hospitalists may be better than their male counterparts because male physicians of that caliber don’t become hospitalists.

Okay, don’t write in. I’m just trying to cite examples of how to think about collider bias. I can’t prove that this is the case, and in fact the authors do a sensitivity analysis of all physicians, not just hospitalists, and show the same thing. So this is probably not true, but epidemiology is fun, right?

And the fourth possibility: This is nothing but statistical noise. The effect size is incredibly small and just on the border of statistical significance. Especially when you’re working with very large datasets like this, you’ve got to be really careful about overinterpreting statistically significant findings that are nevertheless of small magnitude.

Regardless, it’s an interesting study, one that made me think and, of course, worry a bit about how I would present it. Forgive me if I’ve been indelicate in handling the complex issues of sex, gender, and society here. But I’m not sure what you expect; after all, I’m only a male doctor.

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

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Semaglutide Trial for Knee Osteoarthritis Shows Improvements in Pain, Physical Function

Article Type
Changed
Tue, 04/23/2024 - 16:06

 

— The glucagon-like peptide 1 (GLP-1) receptor agonist semaglutide (Wegovy) not only induced weight loss but also improved knee pain in people with knee osteoarthritis (OA) and obesity, according to results from the STEP 9 study reported at the Osteoarthritis Research Society International (OARSI) 2024  World Congress.

From baseline to week 68, the mean change in knee pain assessed using the Western Ontario and McMaster Universities Arthritis Index (WOMAC) pain score was a reduction of 41.7 points for semaglutide and a decrease of 27.5 points for a matching placebo. The estimated treatment difference of 14.1 points between the groups was statistically significant (P < .001).

As for weight loss, this also fell by a significantly greater amount in the people treated with semaglutide vs those given placebo, with respective reductions of 13.7% and 3.2% from baseline, with an estimated 10.5% greater weight loss with semaglutide.

Sara Freeman/Medscape Medical News
Dr. Henning Bliddal

“The interesting thing is whether there’s a specific action of GLP-1 receptor agonists on the joint, not through the weight loss but by itself,” principal study investigator Henning Bliddal, MD, DMSc, told this news organization ahead of reporting the results at OARSI 2024.

Weight loss is “obviously good” because “the knees suffer from the weight. But whether it’s good for the knee or just for the health or the well-being of the person is another matter,” said Dr. Bliddal, who is director of the Parker Institute at Bispebjerg Frederiksberg Hospital in Copenhagen, Denmark.
 

Not Approved in OA

Semaglutide and other potentially weight loss-inducing drugs are not currently indicated for use specifically in OA, Tonia Vincent, MBBS, PhD, told this news organization, and so “I think we have to be very cautious,” she said.

“Weight loss is one of the few things that has been shown to be successful in clinical trials,” said Dr. Vincent, who is a professor of musculoskeletal biology and an honorary rheumatologist at the Kennedy Institute of Rheumatology at Oxford University in Oxford, England.

“People always feel better too when they lose weight, so that helps manage pain. So, I’d be very surprised if there isn’t a benefit,” she added.

“I just think we need to know more about the long-term use of these drugs, whether the healthcare system can afford them, and how we would ration them.”
 

Previous Work

The STEP 9 study is not the first time that Dr. Bliddal has investigated the effects of a GLP-1 receptor agonist in people with knee OA, but it is the first to have shown a significant effect on knee pain.

Previously, results from the LOSEIT trial with liraglutide demonstrated that, after an 8-week dietary intervention run-in phase, people who were treated with the GLP-1 receptor agonist lost an average of 2.8 kg in body weight over a period of 1 year, vs a 1.2 kg gain in the placebo group. Knee injury and Osteoarthritis Outcome Scores, however, were largely unaffected.

“The study was more or less negative for knee pain because at that time we had to pretreat patients with some kind of weight loss before they were allowed to have the liraglutide,” Dr. Bliddal said.

“There’s so many different considerations with diets and the different ways that [dietary modification] is performed, that could be part of the explanation why some people didn’t find the pain relief,” Dr. Bliddal suggested.
 

 

 

STEP 9 Study Design

No pre-study dietary intervention was required in the STEP 9 trial, although a reduced-calorie diet and increased physical exercise were used alongside both semaglutide and placebo treatment.

STEP 9 was a multicenter, multinational phase 3 clinical trial that enrolled people if they had a body mass index (BMI) of > 30, had a clinical diagnosis of knee OA with moderate radiographic changes (Kellgren-Lawrence grade of 2-3), and were experiencing knee pain.

In addition to a baseline WOMAC pain score of at least 40 points (where 0 represents no and 100 the worst pain), the participants had to have a WOMAC numerical rating scale (NRS) score of ≥ 3.1.

A total of 407 participants were recruited and randomly allocated, 2:1, to receive once-weekly subcutaneous injections of either semaglutide 2.4 mg or placebo for a total of 68 weeks.

Dr. Bliddal presented demographic information only for the study population as a whole, showing that the mean was 56 years, 81.6% were women, 60.9% were White, 11.8% Native American, 7.6% Black, and 19.7% of other ethnic origin.

Moreover, the mean bodyweight at baseline was 108.6 kg, and the mean baseline BMI was 40.3, with 75% of participants having a BMI ≥ 35. The mean waist circumference was 118.7 cm. The mean baseline WOMAC pain score was 70.9.
 

Other Findings

In addition to the reductions seen in the coprimary endpoints of weight loss and knee pain, the WOMAC physical function score was also reduced from baseline to week 68 to a greater degree in the semaglutide than placebo arm, by a respective 41.5 vs 26.7 points, with a significant estimated treatment difference of -14.9 points.

“The use of pain medication went down as well; you can see the drop was faster in the semaglutide group than the placebo group, and it was maintained throughout the study,” Dr. Bliddal said during his presentation. He noted that patients had to temporarily stop taking pain relievers such as acetaminophen 3 days before their pain was assessed.

Additional findings reported in the abstract, but not presented at the meeting, were a significant estimated treatment difference of -1.0 in NRS pain intensity, more people treated with semaglutide than placebo achieving ≥ 5% (87.0% vs 29.2%) or ≥ 10% (70.4% vs 9.2%) weight loss.

“Safety and tolerability with semaglutide were consistent with the global STEP program and the GLP-1 receptor agonist class in general,” Dr. Bliddal reported.

Serious adverse events occurred in a respective 10.0% and 8.1% of participants, and adverse events leading to discontinuation were recorded in 6.7% and 3%. Around one third (2.2%) of those leading to discontinuation in the semaglutide arm were gastrointestinal adverse events.

The STEP 9 study was funded by Novo Nordisk. Henning is a principal investigator for the trial and acknowledged that research grants were received from Novo Nordisk to his institution, as well as consulting fees and honoraria. He has also received congress and travel support from Contura. Dr. Vincent was not involved in the study and had no relevant conflicts of interest to disclose.

A version of this article appeared on Medscape.com.

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— The glucagon-like peptide 1 (GLP-1) receptor agonist semaglutide (Wegovy) not only induced weight loss but also improved knee pain in people with knee osteoarthritis (OA) and obesity, according to results from the STEP 9 study reported at the Osteoarthritis Research Society International (OARSI) 2024  World Congress.

From baseline to week 68, the mean change in knee pain assessed using the Western Ontario and McMaster Universities Arthritis Index (WOMAC) pain score was a reduction of 41.7 points for semaglutide and a decrease of 27.5 points for a matching placebo. The estimated treatment difference of 14.1 points between the groups was statistically significant (P < .001).

As for weight loss, this also fell by a significantly greater amount in the people treated with semaglutide vs those given placebo, with respective reductions of 13.7% and 3.2% from baseline, with an estimated 10.5% greater weight loss with semaglutide.

Sara Freeman/Medscape Medical News
Dr. Henning Bliddal

“The interesting thing is whether there’s a specific action of GLP-1 receptor agonists on the joint, not through the weight loss but by itself,” principal study investigator Henning Bliddal, MD, DMSc, told this news organization ahead of reporting the results at OARSI 2024.

Weight loss is “obviously good” because “the knees suffer from the weight. But whether it’s good for the knee or just for the health or the well-being of the person is another matter,” said Dr. Bliddal, who is director of the Parker Institute at Bispebjerg Frederiksberg Hospital in Copenhagen, Denmark.
 

Not Approved in OA

Semaglutide and other potentially weight loss-inducing drugs are not currently indicated for use specifically in OA, Tonia Vincent, MBBS, PhD, told this news organization, and so “I think we have to be very cautious,” she said.

“Weight loss is one of the few things that has been shown to be successful in clinical trials,” said Dr. Vincent, who is a professor of musculoskeletal biology and an honorary rheumatologist at the Kennedy Institute of Rheumatology at Oxford University in Oxford, England.

“People always feel better too when they lose weight, so that helps manage pain. So, I’d be very surprised if there isn’t a benefit,” she added.

“I just think we need to know more about the long-term use of these drugs, whether the healthcare system can afford them, and how we would ration them.”
 

Previous Work

The STEP 9 study is not the first time that Dr. Bliddal has investigated the effects of a GLP-1 receptor agonist in people with knee OA, but it is the first to have shown a significant effect on knee pain.

Previously, results from the LOSEIT trial with liraglutide demonstrated that, after an 8-week dietary intervention run-in phase, people who were treated with the GLP-1 receptor agonist lost an average of 2.8 kg in body weight over a period of 1 year, vs a 1.2 kg gain in the placebo group. Knee injury and Osteoarthritis Outcome Scores, however, were largely unaffected.

“The study was more or less negative for knee pain because at that time we had to pretreat patients with some kind of weight loss before they were allowed to have the liraglutide,” Dr. Bliddal said.

“There’s so many different considerations with diets and the different ways that [dietary modification] is performed, that could be part of the explanation why some people didn’t find the pain relief,” Dr. Bliddal suggested.
 

 

 

STEP 9 Study Design

No pre-study dietary intervention was required in the STEP 9 trial, although a reduced-calorie diet and increased physical exercise were used alongside both semaglutide and placebo treatment.

STEP 9 was a multicenter, multinational phase 3 clinical trial that enrolled people if they had a body mass index (BMI) of > 30, had a clinical diagnosis of knee OA with moderate radiographic changes (Kellgren-Lawrence grade of 2-3), and were experiencing knee pain.

In addition to a baseline WOMAC pain score of at least 40 points (where 0 represents no and 100 the worst pain), the participants had to have a WOMAC numerical rating scale (NRS) score of ≥ 3.1.

A total of 407 participants were recruited and randomly allocated, 2:1, to receive once-weekly subcutaneous injections of either semaglutide 2.4 mg or placebo for a total of 68 weeks.

Dr. Bliddal presented demographic information only for the study population as a whole, showing that the mean was 56 years, 81.6% were women, 60.9% were White, 11.8% Native American, 7.6% Black, and 19.7% of other ethnic origin.

Moreover, the mean bodyweight at baseline was 108.6 kg, and the mean baseline BMI was 40.3, with 75% of participants having a BMI ≥ 35. The mean waist circumference was 118.7 cm. The mean baseline WOMAC pain score was 70.9.
 

Other Findings

In addition to the reductions seen in the coprimary endpoints of weight loss and knee pain, the WOMAC physical function score was also reduced from baseline to week 68 to a greater degree in the semaglutide than placebo arm, by a respective 41.5 vs 26.7 points, with a significant estimated treatment difference of -14.9 points.

“The use of pain medication went down as well; you can see the drop was faster in the semaglutide group than the placebo group, and it was maintained throughout the study,” Dr. Bliddal said during his presentation. He noted that patients had to temporarily stop taking pain relievers such as acetaminophen 3 days before their pain was assessed.

Additional findings reported in the abstract, but not presented at the meeting, were a significant estimated treatment difference of -1.0 in NRS pain intensity, more people treated with semaglutide than placebo achieving ≥ 5% (87.0% vs 29.2%) or ≥ 10% (70.4% vs 9.2%) weight loss.

“Safety and tolerability with semaglutide were consistent with the global STEP program and the GLP-1 receptor agonist class in general,” Dr. Bliddal reported.

Serious adverse events occurred in a respective 10.0% and 8.1% of participants, and adverse events leading to discontinuation were recorded in 6.7% and 3%. Around one third (2.2%) of those leading to discontinuation in the semaglutide arm were gastrointestinal adverse events.

The STEP 9 study was funded by Novo Nordisk. Henning is a principal investigator for the trial and acknowledged that research grants were received from Novo Nordisk to his institution, as well as consulting fees and honoraria. He has also received congress and travel support from Contura. Dr. Vincent was not involved in the study and had no relevant conflicts of interest to disclose.

A version of this article appeared on Medscape.com.

 

— The glucagon-like peptide 1 (GLP-1) receptor agonist semaglutide (Wegovy) not only induced weight loss but also improved knee pain in people with knee osteoarthritis (OA) and obesity, according to results from the STEP 9 study reported at the Osteoarthritis Research Society International (OARSI) 2024  World Congress.

From baseline to week 68, the mean change in knee pain assessed using the Western Ontario and McMaster Universities Arthritis Index (WOMAC) pain score was a reduction of 41.7 points for semaglutide and a decrease of 27.5 points for a matching placebo. The estimated treatment difference of 14.1 points between the groups was statistically significant (P < .001).

As for weight loss, this also fell by a significantly greater amount in the people treated with semaglutide vs those given placebo, with respective reductions of 13.7% and 3.2% from baseline, with an estimated 10.5% greater weight loss with semaglutide.

Sara Freeman/Medscape Medical News
Dr. Henning Bliddal

“The interesting thing is whether there’s a specific action of GLP-1 receptor agonists on the joint, not through the weight loss but by itself,” principal study investigator Henning Bliddal, MD, DMSc, told this news organization ahead of reporting the results at OARSI 2024.

Weight loss is “obviously good” because “the knees suffer from the weight. But whether it’s good for the knee or just for the health or the well-being of the person is another matter,” said Dr. Bliddal, who is director of the Parker Institute at Bispebjerg Frederiksberg Hospital in Copenhagen, Denmark.
 

Not Approved in OA

Semaglutide and other potentially weight loss-inducing drugs are not currently indicated for use specifically in OA, Tonia Vincent, MBBS, PhD, told this news organization, and so “I think we have to be very cautious,” she said.

“Weight loss is one of the few things that has been shown to be successful in clinical trials,” said Dr. Vincent, who is a professor of musculoskeletal biology and an honorary rheumatologist at the Kennedy Institute of Rheumatology at Oxford University in Oxford, England.

“People always feel better too when they lose weight, so that helps manage pain. So, I’d be very surprised if there isn’t a benefit,” she added.

“I just think we need to know more about the long-term use of these drugs, whether the healthcare system can afford them, and how we would ration them.”
 

Previous Work

The STEP 9 study is not the first time that Dr. Bliddal has investigated the effects of a GLP-1 receptor agonist in people with knee OA, but it is the first to have shown a significant effect on knee pain.

Previously, results from the LOSEIT trial with liraglutide demonstrated that, after an 8-week dietary intervention run-in phase, people who were treated with the GLP-1 receptor agonist lost an average of 2.8 kg in body weight over a period of 1 year, vs a 1.2 kg gain in the placebo group. Knee injury and Osteoarthritis Outcome Scores, however, were largely unaffected.

“The study was more or less negative for knee pain because at that time we had to pretreat patients with some kind of weight loss before they were allowed to have the liraglutide,” Dr. Bliddal said.

“There’s so many different considerations with diets and the different ways that [dietary modification] is performed, that could be part of the explanation why some people didn’t find the pain relief,” Dr. Bliddal suggested.
 

 

 

STEP 9 Study Design

No pre-study dietary intervention was required in the STEP 9 trial, although a reduced-calorie diet and increased physical exercise were used alongside both semaglutide and placebo treatment.

STEP 9 was a multicenter, multinational phase 3 clinical trial that enrolled people if they had a body mass index (BMI) of > 30, had a clinical diagnosis of knee OA with moderate radiographic changes (Kellgren-Lawrence grade of 2-3), and were experiencing knee pain.

In addition to a baseline WOMAC pain score of at least 40 points (where 0 represents no and 100 the worst pain), the participants had to have a WOMAC numerical rating scale (NRS) score of ≥ 3.1.

A total of 407 participants were recruited and randomly allocated, 2:1, to receive once-weekly subcutaneous injections of either semaglutide 2.4 mg or placebo for a total of 68 weeks.

Dr. Bliddal presented demographic information only for the study population as a whole, showing that the mean was 56 years, 81.6% were women, 60.9% were White, 11.8% Native American, 7.6% Black, and 19.7% of other ethnic origin.

Moreover, the mean bodyweight at baseline was 108.6 kg, and the mean baseline BMI was 40.3, with 75% of participants having a BMI ≥ 35. The mean waist circumference was 118.7 cm. The mean baseline WOMAC pain score was 70.9.
 

Other Findings

In addition to the reductions seen in the coprimary endpoints of weight loss and knee pain, the WOMAC physical function score was also reduced from baseline to week 68 to a greater degree in the semaglutide than placebo arm, by a respective 41.5 vs 26.7 points, with a significant estimated treatment difference of -14.9 points.

“The use of pain medication went down as well; you can see the drop was faster in the semaglutide group than the placebo group, and it was maintained throughout the study,” Dr. Bliddal said during his presentation. He noted that patients had to temporarily stop taking pain relievers such as acetaminophen 3 days before their pain was assessed.

Additional findings reported in the abstract, but not presented at the meeting, were a significant estimated treatment difference of -1.0 in NRS pain intensity, more people treated with semaglutide than placebo achieving ≥ 5% (87.0% vs 29.2%) or ≥ 10% (70.4% vs 9.2%) weight loss.

“Safety and tolerability with semaglutide were consistent with the global STEP program and the GLP-1 receptor agonist class in general,” Dr. Bliddal reported.

Serious adverse events occurred in a respective 10.0% and 8.1% of participants, and adverse events leading to discontinuation were recorded in 6.7% and 3%. Around one third (2.2%) of those leading to discontinuation in the semaglutide arm were gastrointestinal adverse events.

The STEP 9 study was funded by Novo Nordisk. Henning is a principal investigator for the trial and acknowledged that research grants were received from Novo Nordisk to his institution, as well as consulting fees and honoraria. He has also received congress and travel support from Contura. Dr. Vincent was not involved in the study and had no relevant conflicts of interest to disclose.

A version of this article appeared on Medscape.com.

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How to Play Like a Masters Champ

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Fri, 04/26/2024 - 09:22

 

You know what the happiest animal in the world is? A goldfish. You know why? It’s got a 10-second memory. Be a goldfish. — Ted Lasso

I don’t play much golf. When I do, it’s when my dad is in town. He shoots his age (78). I shoot double mine (52). He was recently here. We played and watched the Masters where he pointed out how I looked a lot like Scottie Scheffler, the now two-time Masters champion. On the 10th hole of his third round, you could see the resemblance. Scheffler’s third shot flew past the hole into the galley. He rifled the fourth past the hole on its way back toward the fairway. It was now a good distance further from the cup than a minute ago. He proceeded to misread his bogey putt, ending his misery with a double bogey. Scheffler went on to bogey the next hole and dropped from first on the leaderboard to fifth. Yes, I looked just like that on my last round. But here is where Scheffler and I differ. After a hole like that, I’d have been apoplectic, seething with self loathing. Scheffler was not. He kept moving. Head up, he sauntered to the next hole as if he had no awareness of what just transpired.

The ability to compartmentalize is useful not only to become the Masters champion, but also to become master of your day. In this way, golf is a nice approximation for life. The best golfers in the world will always have horrible shots and dreadful holes. The winning ones are often those who recover rather than continue in a downward spiral of one bad shot after another.

Dr. Benabio
Dr. Benabio with his brother and father on the golf course


It’s easy to think of regular days that went just like Scheffler’s atrocious 10th hole. Getting pimped in front of distinguished faculty at Grand Rounds and whiffing (it was Sweet Syndrome). Calling a patient to let him know that his syphilis test did in fact come back positive (it was his father on the phone, also Mr. Rodham). Arguing with a patient that a biopsy was not needed for me to diagnose her with zoster (you’ve lost once, you’ve lost your temper). Each of these made me feel like slamming my club down, quitting the round right then and there. Losing control though, leads to flubbing the next question or arguing with the following patient. The masters let it go. Like goldfish, they live in the present without any thought of what happened 10 seconds ago.

Kaiser Permanente
Dr. Jeffrey Benabio


We don’t have to take advice just from Ted Lasso here; there is plenty of research to support this concept of the critical relationship between resilience and psychological flexibility. Specifically, flexible cognitive control allows us to guide attention and to choose appropriate appraisal and good coping strategies. Ultimately, this leads to better performance. Having the ability to regulate our emotional response might be more important than executive function. You might be a skilled athlete or presenter, but if you can’t regulate your emotions and something goes wrong, then you’ll perform as poorly as an amateur. 



Scheffler went on to eagle the 13th hole on that round. He eventually won the 2024 Masters Tournament. Remember that the next time you find yourself in a day that feels like it is spiraling toward disaster. Close the door on the compartment that was the last miserable hole and saunter to the next patient like it never happened.

And maybe close the clubface a bit on address for your next drive. 

 

 

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on X. Write to him at [email protected].

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You know what the happiest animal in the world is? A goldfish. You know why? It’s got a 10-second memory. Be a goldfish. — Ted Lasso

I don’t play much golf. When I do, it’s when my dad is in town. He shoots his age (78). I shoot double mine (52). He was recently here. We played and watched the Masters where he pointed out how I looked a lot like Scottie Scheffler, the now two-time Masters champion. On the 10th hole of his third round, you could see the resemblance. Scheffler’s third shot flew past the hole into the galley. He rifled the fourth past the hole on its way back toward the fairway. It was now a good distance further from the cup than a minute ago. He proceeded to misread his bogey putt, ending his misery with a double bogey. Scheffler went on to bogey the next hole and dropped from first on the leaderboard to fifth. Yes, I looked just like that on my last round. But here is where Scheffler and I differ. After a hole like that, I’d have been apoplectic, seething with self loathing. Scheffler was not. He kept moving. Head up, he sauntered to the next hole as if he had no awareness of what just transpired.

The ability to compartmentalize is useful not only to become the Masters champion, but also to become master of your day. In this way, golf is a nice approximation for life. The best golfers in the world will always have horrible shots and dreadful holes. The winning ones are often those who recover rather than continue in a downward spiral of one bad shot after another.

Dr. Benabio
Dr. Benabio with his brother and father on the golf course


It’s easy to think of regular days that went just like Scheffler’s atrocious 10th hole. Getting pimped in front of distinguished faculty at Grand Rounds and whiffing (it was Sweet Syndrome). Calling a patient to let him know that his syphilis test did in fact come back positive (it was his father on the phone, also Mr. Rodham). Arguing with a patient that a biopsy was not needed for me to diagnose her with zoster (you’ve lost once, you’ve lost your temper). Each of these made me feel like slamming my club down, quitting the round right then and there. Losing control though, leads to flubbing the next question or arguing with the following patient. The masters let it go. Like goldfish, they live in the present without any thought of what happened 10 seconds ago.

Kaiser Permanente
Dr. Jeffrey Benabio


We don’t have to take advice just from Ted Lasso here; there is plenty of research to support this concept of the critical relationship between resilience and psychological flexibility. Specifically, flexible cognitive control allows us to guide attention and to choose appropriate appraisal and good coping strategies. Ultimately, this leads to better performance. Having the ability to regulate our emotional response might be more important than executive function. You might be a skilled athlete or presenter, but if you can’t regulate your emotions and something goes wrong, then you’ll perform as poorly as an amateur. 



Scheffler went on to eagle the 13th hole on that round. He eventually won the 2024 Masters Tournament. Remember that the next time you find yourself in a day that feels like it is spiraling toward disaster. Close the door on the compartment that was the last miserable hole and saunter to the next patient like it never happened.

And maybe close the clubface a bit on address for your next drive. 

 

 

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on X. Write to him at [email protected].

 

You know what the happiest animal in the world is? A goldfish. You know why? It’s got a 10-second memory. Be a goldfish. — Ted Lasso

I don’t play much golf. When I do, it’s when my dad is in town. He shoots his age (78). I shoot double mine (52). He was recently here. We played and watched the Masters where he pointed out how I looked a lot like Scottie Scheffler, the now two-time Masters champion. On the 10th hole of his third round, you could see the resemblance. Scheffler’s third shot flew past the hole into the galley. He rifled the fourth past the hole on its way back toward the fairway. It was now a good distance further from the cup than a minute ago. He proceeded to misread his bogey putt, ending his misery with a double bogey. Scheffler went on to bogey the next hole and dropped from first on the leaderboard to fifth. Yes, I looked just like that on my last round. But here is where Scheffler and I differ. After a hole like that, I’d have been apoplectic, seething with self loathing. Scheffler was not. He kept moving. Head up, he sauntered to the next hole as if he had no awareness of what just transpired.

The ability to compartmentalize is useful not only to become the Masters champion, but also to become master of your day. In this way, golf is a nice approximation for life. The best golfers in the world will always have horrible shots and dreadful holes. The winning ones are often those who recover rather than continue in a downward spiral of one bad shot after another.

Dr. Benabio
Dr. Benabio with his brother and father on the golf course


It’s easy to think of regular days that went just like Scheffler’s atrocious 10th hole. Getting pimped in front of distinguished faculty at Grand Rounds and whiffing (it was Sweet Syndrome). Calling a patient to let him know that his syphilis test did in fact come back positive (it was his father on the phone, also Mr. Rodham). Arguing with a patient that a biopsy was not needed for me to diagnose her with zoster (you’ve lost once, you’ve lost your temper). Each of these made me feel like slamming my club down, quitting the round right then and there. Losing control though, leads to flubbing the next question or arguing with the following patient. The masters let it go. Like goldfish, they live in the present without any thought of what happened 10 seconds ago.

Kaiser Permanente
Dr. Jeffrey Benabio


We don’t have to take advice just from Ted Lasso here; there is plenty of research to support this concept of the critical relationship between resilience and psychological flexibility. Specifically, flexible cognitive control allows us to guide attention and to choose appropriate appraisal and good coping strategies. Ultimately, this leads to better performance. Having the ability to regulate our emotional response might be more important than executive function. You might be a skilled athlete or presenter, but if you can’t regulate your emotions and something goes wrong, then you’ll perform as poorly as an amateur. 



Scheffler went on to eagle the 13th hole on that round. He eventually won the 2024 Masters Tournament. Remember that the next time you find yourself in a day that feels like it is spiraling toward disaster. Close the door on the compartment that was the last miserable hole and saunter to the next patient like it never happened.

And maybe close the clubface a bit on address for your next drive. 

 

 

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on X. Write to him at [email protected].

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Sinonasal Symptoms Show Potential in Predicting GPA Vasculitis Relapse

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Mon, 04/22/2024 - 17:50

 

Patients with granulomatosis with polyangiitis (GPA) who scored high on a sinonasal symptom test are nearly three times as likely to relapse, according to a new study.

These patients reported higher scores months and up to 2 years before a disease flare, despite having low disease activity otherwise.

The study uses a different approach to try to predict relapse, compared with measuring biomarkers in lab tests, said Zachary Wallace, MD, a rheumatologist at Massachusetts General Hospital in Boston, Massachusetts. He was not involved with the study.

“It’s exciting because it might suggest that we could use something as simple as a survey to stratify someone’s risk of relapse,” he told this news organization.

Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a rare disease, with an estimated prevalence of 200-400 cases per million people. It is also heterogeneous, which makes it difficult to predict the risk for relapse for a given patient.

“Investigators have long searched for a reliable prognostic marker that identifies patients at high vs low risk of relapse in AAV but, except for ANCA type, no prognostic biomarker is routinely used to inform treatment decision-making,” wrote lead author Ellen Romich, MD, a rheumatology fellow at the University of Pennsylvania in Philadelphia, Pennsylvania, and colleagues.

Proteinase 3-ANCA (compared with myeloperoxidase-ANCA) has been tied to a higher risk for relapse, as well as gastrointestinal complications, sinonasal disease, and patient global assessment scores. In this new study, Dr. Romich and colleagues evaluated if patient-reported outcomes of sinonasal disease could predict AAV disease activity and relapse.

Researchers used data from a prospective, longitudinal cohort study through the University of Pennsylvania Vasculitis Center from 2016 to 2022. They included 107 patients with GPA, 40 patients with eosinophilic granulomatosis with polyangiitis (EGPA), 21 patients with microscopic polyangiitis (MPA), and 51 healthy controls.

Patients completed a median of four clinic visits during the duration of the study.

During each visit, patients filled out the 22-item SinoNasal Outcome Test (SNOT-22), a validated questionnaire that assesses rhinosinusitis. The tool asks patients to rate a list of symptoms from 0 to 5 in five categories: Rhinologic, extra-nasal, ear and face, psychologic, and sleep. The possible total score ranges from 0 to 110.

Disease activity was measured via the Birmingham Vasculitis Activity Score for Wegener’s Granulomatosis. The results were published online in Arthritis Care & Research.

Patients were, on average, 55 years old with an AAV duration of 3 years. (The mean age of healthy participants was 59.) More than half (58%) of patients were female, and 95% were White. The majority had a history of a flare (54%), and 60% of those flares had sinonasal involvement.

Even in remission, patients with AAV generally had on average higher SNOT-22 scores than healthy comparators (20 vs 5). Higher disease activity also correlated with higher SNOT-22 scores.

In patients with GPA, a high SNOT-22 score (total score of 41 or above) was associated with an increased risk for relapse within 2 years (hazard ratio, 2.7; P = .02). This association was not found for EGPA or MPA. This higher risk remained in a sensitivity analysis that included only patients with no history of sinonasal disease.

“Interestingly, among patients with GPA, SNOT-22 scores are elevated months to years prior to onset of systemic relapse but remain low in patients in sustained remission,” the authors wrote.

While other patient-reported outcomes have been validated for AAV, SNOT-22 may provide more detail on upper airway disease, commented Paul Monach, MD, PhD, an adjunct associate professor of medicine at the Boston University Chobanian & Avedisian School of Medicine and a rheumatologist at the VA Boston Healthcare System, Boston, Massachusetts.

“Upper airway GPA has not been studied as much as systemic GPA and MPA,” he told this news organization. “There are very few clinical trials, and we need better outcome measures like this.”

Dr. Romich noted that this work is still in the “early stages,” and SNOT-22 will need to be further studied and validated in other patient cohorts before its inclusion in clinical practice.

“There’s certainly more work that needs to be done to understand how the SNOT-22 questionnaire works in this patient population,” she said, including its predictive value compared with other known risk factors for relapse. “But I think it’s something that’s promising that we could use as a patient-reported outcome to try to, visit-to-visit, track their sinonasal symptoms.”

This study was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases and an NIH Rheumatology Research Training Grant. Dr. Romich, Dr. Wallace, and Monach reported no other relevant disclosures.

A version of this article appeared on Medscape.com.

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Patients with granulomatosis with polyangiitis (GPA) who scored high on a sinonasal symptom test are nearly three times as likely to relapse, according to a new study.

These patients reported higher scores months and up to 2 years before a disease flare, despite having low disease activity otherwise.

The study uses a different approach to try to predict relapse, compared with measuring biomarkers in lab tests, said Zachary Wallace, MD, a rheumatologist at Massachusetts General Hospital in Boston, Massachusetts. He was not involved with the study.

“It’s exciting because it might suggest that we could use something as simple as a survey to stratify someone’s risk of relapse,” he told this news organization.

Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a rare disease, with an estimated prevalence of 200-400 cases per million people. It is also heterogeneous, which makes it difficult to predict the risk for relapse for a given patient.

“Investigators have long searched for a reliable prognostic marker that identifies patients at high vs low risk of relapse in AAV but, except for ANCA type, no prognostic biomarker is routinely used to inform treatment decision-making,” wrote lead author Ellen Romich, MD, a rheumatology fellow at the University of Pennsylvania in Philadelphia, Pennsylvania, and colleagues.

Proteinase 3-ANCA (compared with myeloperoxidase-ANCA) has been tied to a higher risk for relapse, as well as gastrointestinal complications, sinonasal disease, and patient global assessment scores. In this new study, Dr. Romich and colleagues evaluated if patient-reported outcomes of sinonasal disease could predict AAV disease activity and relapse.

Researchers used data from a prospective, longitudinal cohort study through the University of Pennsylvania Vasculitis Center from 2016 to 2022. They included 107 patients with GPA, 40 patients with eosinophilic granulomatosis with polyangiitis (EGPA), 21 patients with microscopic polyangiitis (MPA), and 51 healthy controls.

Patients completed a median of four clinic visits during the duration of the study.

During each visit, patients filled out the 22-item SinoNasal Outcome Test (SNOT-22), a validated questionnaire that assesses rhinosinusitis. The tool asks patients to rate a list of symptoms from 0 to 5 in five categories: Rhinologic, extra-nasal, ear and face, psychologic, and sleep. The possible total score ranges from 0 to 110.

Disease activity was measured via the Birmingham Vasculitis Activity Score for Wegener’s Granulomatosis. The results were published online in Arthritis Care & Research.

Patients were, on average, 55 years old with an AAV duration of 3 years. (The mean age of healthy participants was 59.) More than half (58%) of patients were female, and 95% were White. The majority had a history of a flare (54%), and 60% of those flares had sinonasal involvement.

Even in remission, patients with AAV generally had on average higher SNOT-22 scores than healthy comparators (20 vs 5). Higher disease activity also correlated with higher SNOT-22 scores.

In patients with GPA, a high SNOT-22 score (total score of 41 or above) was associated with an increased risk for relapse within 2 years (hazard ratio, 2.7; P = .02). This association was not found for EGPA or MPA. This higher risk remained in a sensitivity analysis that included only patients with no history of sinonasal disease.

“Interestingly, among patients with GPA, SNOT-22 scores are elevated months to years prior to onset of systemic relapse but remain low in patients in sustained remission,” the authors wrote.

While other patient-reported outcomes have been validated for AAV, SNOT-22 may provide more detail on upper airway disease, commented Paul Monach, MD, PhD, an adjunct associate professor of medicine at the Boston University Chobanian & Avedisian School of Medicine and a rheumatologist at the VA Boston Healthcare System, Boston, Massachusetts.

“Upper airway GPA has not been studied as much as systemic GPA and MPA,” he told this news organization. “There are very few clinical trials, and we need better outcome measures like this.”

Dr. Romich noted that this work is still in the “early stages,” and SNOT-22 will need to be further studied and validated in other patient cohorts before its inclusion in clinical practice.

“There’s certainly more work that needs to be done to understand how the SNOT-22 questionnaire works in this patient population,” she said, including its predictive value compared with other known risk factors for relapse. “But I think it’s something that’s promising that we could use as a patient-reported outcome to try to, visit-to-visit, track their sinonasal symptoms.”

This study was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases and an NIH Rheumatology Research Training Grant. Dr. Romich, Dr. Wallace, and Monach reported no other relevant disclosures.

A version of this article appeared on Medscape.com.

 

Patients with granulomatosis with polyangiitis (GPA) who scored high on a sinonasal symptom test are nearly three times as likely to relapse, according to a new study.

These patients reported higher scores months and up to 2 years before a disease flare, despite having low disease activity otherwise.

The study uses a different approach to try to predict relapse, compared with measuring biomarkers in lab tests, said Zachary Wallace, MD, a rheumatologist at Massachusetts General Hospital in Boston, Massachusetts. He was not involved with the study.

“It’s exciting because it might suggest that we could use something as simple as a survey to stratify someone’s risk of relapse,” he told this news organization.

Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a rare disease, with an estimated prevalence of 200-400 cases per million people. It is also heterogeneous, which makes it difficult to predict the risk for relapse for a given patient.

“Investigators have long searched for a reliable prognostic marker that identifies patients at high vs low risk of relapse in AAV but, except for ANCA type, no prognostic biomarker is routinely used to inform treatment decision-making,” wrote lead author Ellen Romich, MD, a rheumatology fellow at the University of Pennsylvania in Philadelphia, Pennsylvania, and colleagues.

Proteinase 3-ANCA (compared with myeloperoxidase-ANCA) has been tied to a higher risk for relapse, as well as gastrointestinal complications, sinonasal disease, and patient global assessment scores. In this new study, Dr. Romich and colleagues evaluated if patient-reported outcomes of sinonasal disease could predict AAV disease activity and relapse.

Researchers used data from a prospective, longitudinal cohort study through the University of Pennsylvania Vasculitis Center from 2016 to 2022. They included 107 patients with GPA, 40 patients with eosinophilic granulomatosis with polyangiitis (EGPA), 21 patients with microscopic polyangiitis (MPA), and 51 healthy controls.

Patients completed a median of four clinic visits during the duration of the study.

During each visit, patients filled out the 22-item SinoNasal Outcome Test (SNOT-22), a validated questionnaire that assesses rhinosinusitis. The tool asks patients to rate a list of symptoms from 0 to 5 in five categories: Rhinologic, extra-nasal, ear and face, psychologic, and sleep. The possible total score ranges from 0 to 110.

Disease activity was measured via the Birmingham Vasculitis Activity Score for Wegener’s Granulomatosis. The results were published online in Arthritis Care & Research.

Patients were, on average, 55 years old with an AAV duration of 3 years. (The mean age of healthy participants was 59.) More than half (58%) of patients were female, and 95% were White. The majority had a history of a flare (54%), and 60% of those flares had sinonasal involvement.

Even in remission, patients with AAV generally had on average higher SNOT-22 scores than healthy comparators (20 vs 5). Higher disease activity also correlated with higher SNOT-22 scores.

In patients with GPA, a high SNOT-22 score (total score of 41 or above) was associated with an increased risk for relapse within 2 years (hazard ratio, 2.7; P = .02). This association was not found for EGPA or MPA. This higher risk remained in a sensitivity analysis that included only patients with no history of sinonasal disease.

“Interestingly, among patients with GPA, SNOT-22 scores are elevated months to years prior to onset of systemic relapse but remain low in patients in sustained remission,” the authors wrote.

While other patient-reported outcomes have been validated for AAV, SNOT-22 may provide more detail on upper airway disease, commented Paul Monach, MD, PhD, an adjunct associate professor of medicine at the Boston University Chobanian & Avedisian School of Medicine and a rheumatologist at the VA Boston Healthcare System, Boston, Massachusetts.

“Upper airway GPA has not been studied as much as systemic GPA and MPA,” he told this news organization. “There are very few clinical trials, and we need better outcome measures like this.”

Dr. Romich noted that this work is still in the “early stages,” and SNOT-22 will need to be further studied and validated in other patient cohorts before its inclusion in clinical practice.

“There’s certainly more work that needs to be done to understand how the SNOT-22 questionnaire works in this patient population,” she said, including its predictive value compared with other known risk factors for relapse. “But I think it’s something that’s promising that we could use as a patient-reported outcome to try to, visit-to-visit, track their sinonasal symptoms.”

This study was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases and an NIH Rheumatology Research Training Grant. Dr. Romich, Dr. Wallace, and Monach reported no other relevant disclosures.

A version of this article appeared on Medscape.com.

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Weighing the Benefits of Integrating AI-based Clinical Notes Into Your Practice

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Thu, 04/25/2024 - 12:15

 

Picture a healthcare system where physicians aren’t bogged down by excessive charting but are instead fully present with their patients, offering undivided attention and personalized care. In a recent X post, Stuart Blitz, COO and co-founder of Hone Health, sparked a thought-provoking conversation. “The problem with US healthcare is physicians are burned out since they spend way too much time charting, not enough with patients,” he wrote. “If you created a health system that did zero charting, you’d attract the best physicians and all patients would go there. Who is working on this?” 

This resonates with many in the medical community, myself included, because the strain of extensive documentation detracts from patient care. Having worked in both large and small healthcare systems, I know the burden of extensive charting is a palpable challenge, often detracting from the time we can devote to our patients.

The first part of this two-part series examines the overarching benefits of artificial intelligence (AI)–based clinical documentation in modern healthcare, a field witnessing a paradigm shift thanks to advancements in AI.
 

Transformative Evolution of Clinical Documentation

The transition from manual documentation to AI-driven solutions marks a significant shift in the field, with a number of products in development including Nuance, Abridge, Ambience, ScribeAmerica, 3M, and DeepScribe. These tools use ambient clinical intelligence (ACI) to automate documentation, capturing patient conversations and translating them into structured clinical summaries. This innovation aligns with the vision of reducing charting burdens and enhancing patient-physician interactions.

How does it work? ACI refers to a sophisticated form of AI applied in healthcare settings, particularly focusing on enhancing the clinical documentation process without disrupting the natural flow of the consultation. Here’s a technical yet practical breakdown of ACI and the algorithms it typically employs:

Data capture and processing: ACI systems employ various sensors and processing units, typically integrated into clinical settings. These sensors, like microphones and cameras, gather diverse data such as audio from patient-doctor dialogues and visual cues. This information is then processed in real-time or near–real-time.

Natural language processing (NLP): A core component of ACI is advanced NLP algorithms. These algorithms analyze the captured audio data, transcribing spoken words into text. NLP goes beyond mere transcription; it involves understanding context, extracting relevant medical information (like symptoms, diagnoses, and treatment plans), and interpreting the nuances of human language.

Deep learning: Machine learning, particularly deep-learning techniques, are employed to improve the accuracy of ACI systems continually. These algorithms can learn from vast datasets of clinical interactions, enhancing their ability to transcribe and interpret future conversations accurately. As they learn, they become better at understanding different accents, complex medical terms, and variations in speech patterns.

Integration with electronic health records (EHRs): ACI systems are often designed to integrate seamlessly with existing EHR systems. They can automatically populate patient records with information from patient-clinician interactions, reducing manual entry and potential errors.

Customization and personalization: Many ACI systems offer customizable templates or allow clinicians to tailor documentation workflows. This flexibility ensures that the output aligns with the specific needs and preferences of healthcare providers.

Ethical and privacy considerations: ACI systems must navigate significant ethical and privacy concerns, especially related to patient consent and data security. These systems need to comply with healthcare privacy regulations such as HIPAA. They need to securely manage sensitive patient data and restrict access to authorized personnel only.
 

 

 

Broad-Spectrum Benefits of AI in Documentation

  • Reducing clinician burnout: By automating the documentation process, AI tools like DAX Copilot alleviate a significant contributor to physician burnout, enabling clinicians to focus more on patient care.
  • Enhanced patient care: With AI handling documentation, clinicians can engage more with their patients, leading to improved care quality and patient satisfaction.
  • Data accuracy and quality: AI-driven documentation captures detailed patient encounters accurately, ensuring high-quality and comprehensive medical records.
  • Response to the growing need for efficient healthcare: AI-based documentation is a direct response to the growing call for more efficient healthcare practices, where clinicians spend less time on paperwork and more with patients.

The shift toward AI-based clinical documentation represents a critical step in addressing the inefficiencies in healthcare systems. It’s a move towards a more patient-centered approach, where clinicians can focus more on patient care by reducing the time spent on excessive charting. Hopefully, we can integrate these solutions into our clinics at a large enough scale to make such an impact.

In the next column, we will explore in-depth insights from Kenneth Harper at Nuance on the technical implementation of these tools, with DAX as an example.

I would love to read your comments on AI in clinical trials as well as other AI-related topics. Write me at [email protected] or find me on X @DrBonillaOnc.

Dr. Loaiza-Bonilla is the co-founder and chief medical officer at Massive Bio, a company connecting patients to clinical trials using artificial intelligence. His research and professional interests focus on precision medicine, clinical trial design, digital health, entrepreneurship, and patient advocacy. Dr Loaiza-Bonilla serves as medical director of oncology research at Capital Health in New Jersey, where he maintains a connection to patient care by attending to patients 2 days a week. He has served as a consultant for Verify, PSI CRO, Bayer, AstraZeneca, Cardinal Health, BrightInsight, The Lynx Group, Fresenius, Pfizer, Ipsen, and Guardant; served as a speaker or a member of a speakers bureau for Amgen, Guardant, Eisai, Ipsen, Natera, Merck, Bristol-Myers Squibb, and AstraZeneca. He holds a 5% or greater equity interest in Massive Bio.

A version of this article appeared on Medscape.com.

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Picture a healthcare system where physicians aren’t bogged down by excessive charting but are instead fully present with their patients, offering undivided attention and personalized care. In a recent X post, Stuart Blitz, COO and co-founder of Hone Health, sparked a thought-provoking conversation. “The problem with US healthcare is physicians are burned out since they spend way too much time charting, not enough with patients,” he wrote. “If you created a health system that did zero charting, you’d attract the best physicians and all patients would go there. Who is working on this?” 

This resonates with many in the medical community, myself included, because the strain of extensive documentation detracts from patient care. Having worked in both large and small healthcare systems, I know the burden of extensive charting is a palpable challenge, often detracting from the time we can devote to our patients.

The first part of this two-part series examines the overarching benefits of artificial intelligence (AI)–based clinical documentation in modern healthcare, a field witnessing a paradigm shift thanks to advancements in AI.
 

Transformative Evolution of Clinical Documentation

The transition from manual documentation to AI-driven solutions marks a significant shift in the field, with a number of products in development including Nuance, Abridge, Ambience, ScribeAmerica, 3M, and DeepScribe. These tools use ambient clinical intelligence (ACI) to automate documentation, capturing patient conversations and translating them into structured clinical summaries. This innovation aligns with the vision of reducing charting burdens and enhancing patient-physician interactions.

How does it work? ACI refers to a sophisticated form of AI applied in healthcare settings, particularly focusing on enhancing the clinical documentation process without disrupting the natural flow of the consultation. Here’s a technical yet practical breakdown of ACI and the algorithms it typically employs:

Data capture and processing: ACI systems employ various sensors and processing units, typically integrated into clinical settings. These sensors, like microphones and cameras, gather diverse data such as audio from patient-doctor dialogues and visual cues. This information is then processed in real-time or near–real-time.

Natural language processing (NLP): A core component of ACI is advanced NLP algorithms. These algorithms analyze the captured audio data, transcribing spoken words into text. NLP goes beyond mere transcription; it involves understanding context, extracting relevant medical information (like symptoms, diagnoses, and treatment plans), and interpreting the nuances of human language.

Deep learning: Machine learning, particularly deep-learning techniques, are employed to improve the accuracy of ACI systems continually. These algorithms can learn from vast datasets of clinical interactions, enhancing their ability to transcribe and interpret future conversations accurately. As they learn, they become better at understanding different accents, complex medical terms, and variations in speech patterns.

Integration with electronic health records (EHRs): ACI systems are often designed to integrate seamlessly with existing EHR systems. They can automatically populate patient records with information from patient-clinician interactions, reducing manual entry and potential errors.

Customization and personalization: Many ACI systems offer customizable templates or allow clinicians to tailor documentation workflows. This flexibility ensures that the output aligns with the specific needs and preferences of healthcare providers.

Ethical and privacy considerations: ACI systems must navigate significant ethical and privacy concerns, especially related to patient consent and data security. These systems need to comply with healthcare privacy regulations such as HIPAA. They need to securely manage sensitive patient data and restrict access to authorized personnel only.
 

 

 

Broad-Spectrum Benefits of AI in Documentation

  • Reducing clinician burnout: By automating the documentation process, AI tools like DAX Copilot alleviate a significant contributor to physician burnout, enabling clinicians to focus more on patient care.
  • Enhanced patient care: With AI handling documentation, clinicians can engage more with their patients, leading to improved care quality and patient satisfaction.
  • Data accuracy and quality: AI-driven documentation captures detailed patient encounters accurately, ensuring high-quality and comprehensive medical records.
  • Response to the growing need for efficient healthcare: AI-based documentation is a direct response to the growing call for more efficient healthcare practices, where clinicians spend less time on paperwork and more with patients.

The shift toward AI-based clinical documentation represents a critical step in addressing the inefficiencies in healthcare systems. It’s a move towards a more patient-centered approach, where clinicians can focus more on patient care by reducing the time spent on excessive charting. Hopefully, we can integrate these solutions into our clinics at a large enough scale to make such an impact.

In the next column, we will explore in-depth insights from Kenneth Harper at Nuance on the technical implementation of these tools, with DAX as an example.

I would love to read your comments on AI in clinical trials as well as other AI-related topics. Write me at [email protected] or find me on X @DrBonillaOnc.

Dr. Loaiza-Bonilla is the co-founder and chief medical officer at Massive Bio, a company connecting patients to clinical trials using artificial intelligence. His research and professional interests focus on precision medicine, clinical trial design, digital health, entrepreneurship, and patient advocacy. Dr Loaiza-Bonilla serves as medical director of oncology research at Capital Health in New Jersey, where he maintains a connection to patient care by attending to patients 2 days a week. He has served as a consultant for Verify, PSI CRO, Bayer, AstraZeneca, Cardinal Health, BrightInsight, The Lynx Group, Fresenius, Pfizer, Ipsen, and Guardant; served as a speaker or a member of a speakers bureau for Amgen, Guardant, Eisai, Ipsen, Natera, Merck, Bristol-Myers Squibb, and AstraZeneca. He holds a 5% or greater equity interest in Massive Bio.

A version of this article appeared on Medscape.com.

 

Picture a healthcare system where physicians aren’t bogged down by excessive charting but are instead fully present with their patients, offering undivided attention and personalized care. In a recent X post, Stuart Blitz, COO and co-founder of Hone Health, sparked a thought-provoking conversation. “The problem with US healthcare is physicians are burned out since they spend way too much time charting, not enough with patients,” he wrote. “If you created a health system that did zero charting, you’d attract the best physicians and all patients would go there. Who is working on this?” 

This resonates with many in the medical community, myself included, because the strain of extensive documentation detracts from patient care. Having worked in both large and small healthcare systems, I know the burden of extensive charting is a palpable challenge, often detracting from the time we can devote to our patients.

The first part of this two-part series examines the overarching benefits of artificial intelligence (AI)–based clinical documentation in modern healthcare, a field witnessing a paradigm shift thanks to advancements in AI.
 

Transformative Evolution of Clinical Documentation

The transition from manual documentation to AI-driven solutions marks a significant shift in the field, with a number of products in development including Nuance, Abridge, Ambience, ScribeAmerica, 3M, and DeepScribe. These tools use ambient clinical intelligence (ACI) to automate documentation, capturing patient conversations and translating them into structured clinical summaries. This innovation aligns with the vision of reducing charting burdens and enhancing patient-physician interactions.

How does it work? ACI refers to a sophisticated form of AI applied in healthcare settings, particularly focusing on enhancing the clinical documentation process without disrupting the natural flow of the consultation. Here’s a technical yet practical breakdown of ACI and the algorithms it typically employs:

Data capture and processing: ACI systems employ various sensors and processing units, typically integrated into clinical settings. These sensors, like microphones and cameras, gather diverse data such as audio from patient-doctor dialogues and visual cues. This information is then processed in real-time or near–real-time.

Natural language processing (NLP): A core component of ACI is advanced NLP algorithms. These algorithms analyze the captured audio data, transcribing spoken words into text. NLP goes beyond mere transcription; it involves understanding context, extracting relevant medical information (like symptoms, diagnoses, and treatment plans), and interpreting the nuances of human language.

Deep learning: Machine learning, particularly deep-learning techniques, are employed to improve the accuracy of ACI systems continually. These algorithms can learn from vast datasets of clinical interactions, enhancing their ability to transcribe and interpret future conversations accurately. As they learn, they become better at understanding different accents, complex medical terms, and variations in speech patterns.

Integration with electronic health records (EHRs): ACI systems are often designed to integrate seamlessly with existing EHR systems. They can automatically populate patient records with information from patient-clinician interactions, reducing manual entry and potential errors.

Customization and personalization: Many ACI systems offer customizable templates or allow clinicians to tailor documentation workflows. This flexibility ensures that the output aligns with the specific needs and preferences of healthcare providers.

Ethical and privacy considerations: ACI systems must navigate significant ethical and privacy concerns, especially related to patient consent and data security. These systems need to comply with healthcare privacy regulations such as HIPAA. They need to securely manage sensitive patient data and restrict access to authorized personnel only.
 

 

 

Broad-Spectrum Benefits of AI in Documentation

  • Reducing clinician burnout: By automating the documentation process, AI tools like DAX Copilot alleviate a significant contributor to physician burnout, enabling clinicians to focus more on patient care.
  • Enhanced patient care: With AI handling documentation, clinicians can engage more with their patients, leading to improved care quality and patient satisfaction.
  • Data accuracy and quality: AI-driven documentation captures detailed patient encounters accurately, ensuring high-quality and comprehensive medical records.
  • Response to the growing need for efficient healthcare: AI-based documentation is a direct response to the growing call for more efficient healthcare practices, where clinicians spend less time on paperwork and more with patients.

The shift toward AI-based clinical documentation represents a critical step in addressing the inefficiencies in healthcare systems. It’s a move towards a more patient-centered approach, where clinicians can focus more on patient care by reducing the time spent on excessive charting. Hopefully, we can integrate these solutions into our clinics at a large enough scale to make such an impact.

In the next column, we will explore in-depth insights from Kenneth Harper at Nuance on the technical implementation of these tools, with DAX as an example.

I would love to read your comments on AI in clinical trials as well as other AI-related topics. Write me at [email protected] or find me on X @DrBonillaOnc.

Dr. Loaiza-Bonilla is the co-founder and chief medical officer at Massive Bio, a company connecting patients to clinical trials using artificial intelligence. His research and professional interests focus on precision medicine, clinical trial design, digital health, entrepreneurship, and patient advocacy. Dr Loaiza-Bonilla serves as medical director of oncology research at Capital Health in New Jersey, where he maintains a connection to patient care by attending to patients 2 days a week. He has served as a consultant for Verify, PSI CRO, Bayer, AstraZeneca, Cardinal Health, BrightInsight, The Lynx Group, Fresenius, Pfizer, Ipsen, and Guardant; served as a speaker or a member of a speakers bureau for Amgen, Guardant, Eisai, Ipsen, Natera, Merck, Bristol-Myers Squibb, and AstraZeneca. He holds a 5% or greater equity interest in Massive Bio.

A version of this article appeared on Medscape.com.

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The Patient Knows Best: Integrating Patient-Reported Outcomes in RA Practice and Research

Article Type
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Mon, 04/22/2024 - 17:36

 

Patient-reported outcomes (PROs) in rheumatology are not just personal lists of physical complaints or so-called “organ recitals.” In fact, PROs can both guide treatment decisions in daily practice and serve as key endpoints for clinical trials.

That’s the informed opinion of Clifton O. Bingham III, MD, director of the Johns Arthritis Center in Baltimore, Maryland, who discussed clinical and research applications of PROs at the 2024 Rheumatoid Arthritis Research Summit presented by the Arthritis Foundation and the Hospital for Special Surgery in New York City.

Johns Hopkins Medicine, Johns Hopkins Division of Rheumatology
Dr. Clifton O. Bingham III

“Integrating PROs into practice settings can enhance the clinician’s ability to understand their patients and monitor disease impact, and they are increasingly available for clinical care and are being qualified for outcome measures for clinical trials,” Dr. Bingham said.

“I posit to you that some of this ability to better characterize things like anxiety and depression levels of patients more precisely may help us to identify those patients who are less likely to respond to therapy and may require different interventions than disease-modifying therapies for their disease,” he told the audience.
 

PRO Examples

The term PRO encompasses a broad range of measures that may include health-related quality of life measures, symptoms and their affects, patient satisfaction, and the patient’s experience with care.

PROs are important for rheumatology care and research because “we now have the capacity to make what we used to think were the subjective experiences of disease more objective. We now have ways that we can put numbers and measurements to the experiences that patients have about their illness and use that information as a way to understand more about the patients who are in front of us and also how their disease changes over time,” Dr. Bingham said.

Patients are the best — or in some cases, the only — judges of many aspects of their health, and they are best suited to report on certain events and outcomes, he said.

PROs that are currently included in core outcome measures used to guide care and in clinical trials in pain scores as reported by visual analog scales; functioning, as measured by the Health Assessment Questionnaire-Disability Index (HAQ-DI); and patient global assessment.

In international qualitative studies in which patients with rheumatoid arthritis (RA) were asked what was most important to them, the usual suspects of pain, function, and fatigue were routinely cited across the studies. But patients in studies from these groups (RAPP-PIRAID, and OMERACT) also said that other factors important to their well-being included good sleep, enjoyment of life, independence, ability to participate in valued activities, and freedom from emotional distress, Dr. Bingham noted.
 

The Promise of PROMIS

The science of clinical measurement has advanced dramatically during his career, as Dr. Bingham said.

“There have been significant changes in the science behind how you develop and validate outcomes measures. The fields of clinimetrics and psychometrics have evolved substantially. These are now grounded in what we call ‘modern measurement’ approaches, which focus on item-response theory, constructing interval scales of measurement in things that are very precise in their ability to detect change over time,” he said.

One such measurement instrument is the Patient-Reported Outcome Measurement Information System (PROMIS®), developed at the National Institutes of Health using advanced measurement science.

The system, administered through either computer or paper questionnaires, is designed to improve precision of health-related quality of life assessments in multiple domains, including most domains identified by patients with RA. It uses a T-score metric standardized to the US population.

“You can use this in a disease like rheumatoid arthritis, and you can find out how patients are doing in reference to the normative United States populations,” he said.

Dr. Bingham noted that his team has “very good data” to show that PROMIS system significantly outperforms existing instruments such as the HAQ.
 

 

 

How It Works

The system uses item banks, each with multiple items. For example, there are approximately 150 items for the physical function assessment portion. All the items are scored along a continuum, “from people who are completely disabled to those who can run marathons,” Dr. Bingham said.

Each item on the scale has a question and response component, ranging from “are you able to get in and out of bed?” to “are you able to walk from one room to another?” to “are you able to run 5 miles?”

To evaluate the PROMIS scale, Dr. Bingham and colleagues looked at the distribution of PROMIS T-scores for 1029 patients with RA at their center. The scales showed that patients with RA have higher levels of pain, fatigue, and sleep disturbances, as well as worse physical function, than population norms.

Dr. Bingham and colleagues also evaluated the performance of the system in patients with active RA who were starting on or switching to a different disease-modifying antirheumatic drug (DMARD). As they reported in 2019, among 106 participants who completed the 12-week study, all PROMIS scores improved after DMARD initiation (P ≤ .05). In addition, except for the depression domain, changes in all assessed PROMIS measures correlated with changes in Clinical Disease Activity Index scores.

To see whether integrating PROs into routine clinics could have an effect on care, Dr. Bingham and colleagues conducted a prospective cohort study, which showed that with the additional patient-reported data, clinicians changed or adjusted RA treatment in 16%-19% of visits, identified new symptoms in 27%-38%, and suggested nonpharmacologic interventions in 4%-11%.

“This is information that’s being used, and it’s going into changing medical decision making,” he said.

Summarizing his work, Dr. Bingham told the audience “I hope that I have convinced you that patients with RA prioritize domains that are impacted by their disease. PROMIS measures are really state-of-the-science methods to evaluate multiple aspects of health-related quality of life, and what I’ll note to you is that these have been translated into multiple languages internationally. There are Spanish-language versions, there are Chinese language versions, there are versions for every country in the [European Union] that have been validated and can be used.”
 

It’s a Start

In the Q & A following the presentation, Daniel H. Solomon, MD, MPH, from Brigham and Women’s Hospital in Boston, commented that “the measurement issues and automating measurements seems like it’s a fundamental practice issue — how to manage the system and how to manage patients better, and I feel like we’re kind of scratching the surface.”

He said that artificial intelligence and PROs in clinic offer some promise for improving care but added that “we can do better than this. We can figure out better systems for measuring PROs: Having patients measure PROs, having patients tell us about their PROs so they don’t have to come in, or coming in only when they need to come in, when they’re really flaring. There are lots of innovative ways of thinking about these tools, and it feels like we’re kind of on the cusp of really taking advantage.”

Dr. Bingham’s work is supported by the Patient-Centered Outcomes Research Institute, National Institutes of Health, Ira T. Fine Discovery Fund, Johns Hopkins Arthritis Center Discovery Fund, Camille J. Morgan Arthritis Research and Education Fund, and Scheer Family Foundation and Joanne and John Rogers. He disclosed consulting for AbbVie, Janssen, Lilly, and Sanofi and serving as a board member of the PROMIS health organization, co-chair of the Omeract Technical Advisory Group, and member of the C-PATH RA PRO working group. Dr. Solomon had no relevant disclosures.

A version of this article appeared on Medscape.com.

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Patient-reported outcomes (PROs) in rheumatology are not just personal lists of physical complaints or so-called “organ recitals.” In fact, PROs can both guide treatment decisions in daily practice and serve as key endpoints for clinical trials.

That’s the informed opinion of Clifton O. Bingham III, MD, director of the Johns Arthritis Center in Baltimore, Maryland, who discussed clinical and research applications of PROs at the 2024 Rheumatoid Arthritis Research Summit presented by the Arthritis Foundation and the Hospital for Special Surgery in New York City.

Johns Hopkins Medicine, Johns Hopkins Division of Rheumatology
Dr. Clifton O. Bingham III

“Integrating PROs into practice settings can enhance the clinician’s ability to understand their patients and monitor disease impact, and they are increasingly available for clinical care and are being qualified for outcome measures for clinical trials,” Dr. Bingham said.

“I posit to you that some of this ability to better characterize things like anxiety and depression levels of patients more precisely may help us to identify those patients who are less likely to respond to therapy and may require different interventions than disease-modifying therapies for their disease,” he told the audience.
 

PRO Examples

The term PRO encompasses a broad range of measures that may include health-related quality of life measures, symptoms and their affects, patient satisfaction, and the patient’s experience with care.

PROs are important for rheumatology care and research because “we now have the capacity to make what we used to think were the subjective experiences of disease more objective. We now have ways that we can put numbers and measurements to the experiences that patients have about their illness and use that information as a way to understand more about the patients who are in front of us and also how their disease changes over time,” Dr. Bingham said.

Patients are the best — or in some cases, the only — judges of many aspects of their health, and they are best suited to report on certain events and outcomes, he said.

PROs that are currently included in core outcome measures used to guide care and in clinical trials in pain scores as reported by visual analog scales; functioning, as measured by the Health Assessment Questionnaire-Disability Index (HAQ-DI); and patient global assessment.

In international qualitative studies in which patients with rheumatoid arthritis (RA) were asked what was most important to them, the usual suspects of pain, function, and fatigue were routinely cited across the studies. But patients in studies from these groups (RAPP-PIRAID, and OMERACT) also said that other factors important to their well-being included good sleep, enjoyment of life, independence, ability to participate in valued activities, and freedom from emotional distress, Dr. Bingham noted.
 

The Promise of PROMIS

The science of clinical measurement has advanced dramatically during his career, as Dr. Bingham said.

“There have been significant changes in the science behind how you develop and validate outcomes measures. The fields of clinimetrics and psychometrics have evolved substantially. These are now grounded in what we call ‘modern measurement’ approaches, which focus on item-response theory, constructing interval scales of measurement in things that are very precise in their ability to detect change over time,” he said.

One such measurement instrument is the Patient-Reported Outcome Measurement Information System (PROMIS®), developed at the National Institutes of Health using advanced measurement science.

The system, administered through either computer or paper questionnaires, is designed to improve precision of health-related quality of life assessments in multiple domains, including most domains identified by patients with RA. It uses a T-score metric standardized to the US population.

“You can use this in a disease like rheumatoid arthritis, and you can find out how patients are doing in reference to the normative United States populations,” he said.

Dr. Bingham noted that his team has “very good data” to show that PROMIS system significantly outperforms existing instruments such as the HAQ.
 

 

 

How It Works

The system uses item banks, each with multiple items. For example, there are approximately 150 items for the physical function assessment portion. All the items are scored along a continuum, “from people who are completely disabled to those who can run marathons,” Dr. Bingham said.

Each item on the scale has a question and response component, ranging from “are you able to get in and out of bed?” to “are you able to walk from one room to another?” to “are you able to run 5 miles?”

To evaluate the PROMIS scale, Dr. Bingham and colleagues looked at the distribution of PROMIS T-scores for 1029 patients with RA at their center. The scales showed that patients with RA have higher levels of pain, fatigue, and sleep disturbances, as well as worse physical function, than population norms.

Dr. Bingham and colleagues also evaluated the performance of the system in patients with active RA who were starting on or switching to a different disease-modifying antirheumatic drug (DMARD). As they reported in 2019, among 106 participants who completed the 12-week study, all PROMIS scores improved after DMARD initiation (P ≤ .05). In addition, except for the depression domain, changes in all assessed PROMIS measures correlated with changes in Clinical Disease Activity Index scores.

To see whether integrating PROs into routine clinics could have an effect on care, Dr. Bingham and colleagues conducted a prospective cohort study, which showed that with the additional patient-reported data, clinicians changed or adjusted RA treatment in 16%-19% of visits, identified new symptoms in 27%-38%, and suggested nonpharmacologic interventions in 4%-11%.

“This is information that’s being used, and it’s going into changing medical decision making,” he said.

Summarizing his work, Dr. Bingham told the audience “I hope that I have convinced you that patients with RA prioritize domains that are impacted by their disease. PROMIS measures are really state-of-the-science methods to evaluate multiple aspects of health-related quality of life, and what I’ll note to you is that these have been translated into multiple languages internationally. There are Spanish-language versions, there are Chinese language versions, there are versions for every country in the [European Union] that have been validated and can be used.”
 

It’s a Start

In the Q & A following the presentation, Daniel H. Solomon, MD, MPH, from Brigham and Women’s Hospital in Boston, commented that “the measurement issues and automating measurements seems like it’s a fundamental practice issue — how to manage the system and how to manage patients better, and I feel like we’re kind of scratching the surface.”

He said that artificial intelligence and PROs in clinic offer some promise for improving care but added that “we can do better than this. We can figure out better systems for measuring PROs: Having patients measure PROs, having patients tell us about their PROs so they don’t have to come in, or coming in only when they need to come in, when they’re really flaring. There are lots of innovative ways of thinking about these tools, and it feels like we’re kind of on the cusp of really taking advantage.”

Dr. Bingham’s work is supported by the Patient-Centered Outcomes Research Institute, National Institutes of Health, Ira T. Fine Discovery Fund, Johns Hopkins Arthritis Center Discovery Fund, Camille J. Morgan Arthritis Research and Education Fund, and Scheer Family Foundation and Joanne and John Rogers. He disclosed consulting for AbbVie, Janssen, Lilly, and Sanofi and serving as a board member of the PROMIS health organization, co-chair of the Omeract Technical Advisory Group, and member of the C-PATH RA PRO working group. Dr. Solomon had no relevant disclosures.

A version of this article appeared on Medscape.com.

 

Patient-reported outcomes (PROs) in rheumatology are not just personal lists of physical complaints or so-called “organ recitals.” In fact, PROs can both guide treatment decisions in daily practice and serve as key endpoints for clinical trials.

That’s the informed opinion of Clifton O. Bingham III, MD, director of the Johns Arthritis Center in Baltimore, Maryland, who discussed clinical and research applications of PROs at the 2024 Rheumatoid Arthritis Research Summit presented by the Arthritis Foundation and the Hospital for Special Surgery in New York City.

Johns Hopkins Medicine, Johns Hopkins Division of Rheumatology
Dr. Clifton O. Bingham III

“Integrating PROs into practice settings can enhance the clinician’s ability to understand their patients and monitor disease impact, and they are increasingly available for clinical care and are being qualified for outcome measures for clinical trials,” Dr. Bingham said.

“I posit to you that some of this ability to better characterize things like anxiety and depression levels of patients more precisely may help us to identify those patients who are less likely to respond to therapy and may require different interventions than disease-modifying therapies for their disease,” he told the audience.
 

PRO Examples

The term PRO encompasses a broad range of measures that may include health-related quality of life measures, symptoms and their affects, patient satisfaction, and the patient’s experience with care.

PROs are important for rheumatology care and research because “we now have the capacity to make what we used to think were the subjective experiences of disease more objective. We now have ways that we can put numbers and measurements to the experiences that patients have about their illness and use that information as a way to understand more about the patients who are in front of us and also how their disease changes over time,” Dr. Bingham said.

Patients are the best — or in some cases, the only — judges of many aspects of their health, and they are best suited to report on certain events and outcomes, he said.

PROs that are currently included in core outcome measures used to guide care and in clinical trials in pain scores as reported by visual analog scales; functioning, as measured by the Health Assessment Questionnaire-Disability Index (HAQ-DI); and patient global assessment.

In international qualitative studies in which patients with rheumatoid arthritis (RA) were asked what was most important to them, the usual suspects of pain, function, and fatigue were routinely cited across the studies. But patients in studies from these groups (RAPP-PIRAID, and OMERACT) also said that other factors important to their well-being included good sleep, enjoyment of life, independence, ability to participate in valued activities, and freedom from emotional distress, Dr. Bingham noted.
 

The Promise of PROMIS

The science of clinical measurement has advanced dramatically during his career, as Dr. Bingham said.

“There have been significant changes in the science behind how you develop and validate outcomes measures. The fields of clinimetrics and psychometrics have evolved substantially. These are now grounded in what we call ‘modern measurement’ approaches, which focus on item-response theory, constructing interval scales of measurement in things that are very precise in their ability to detect change over time,” he said.

One such measurement instrument is the Patient-Reported Outcome Measurement Information System (PROMIS®), developed at the National Institutes of Health using advanced measurement science.

The system, administered through either computer or paper questionnaires, is designed to improve precision of health-related quality of life assessments in multiple domains, including most domains identified by patients with RA. It uses a T-score metric standardized to the US population.

“You can use this in a disease like rheumatoid arthritis, and you can find out how patients are doing in reference to the normative United States populations,” he said.

Dr. Bingham noted that his team has “very good data” to show that PROMIS system significantly outperforms existing instruments such as the HAQ.
 

 

 

How It Works

The system uses item banks, each with multiple items. For example, there are approximately 150 items for the physical function assessment portion. All the items are scored along a continuum, “from people who are completely disabled to those who can run marathons,” Dr. Bingham said.

Each item on the scale has a question and response component, ranging from “are you able to get in and out of bed?” to “are you able to walk from one room to another?” to “are you able to run 5 miles?”

To evaluate the PROMIS scale, Dr. Bingham and colleagues looked at the distribution of PROMIS T-scores for 1029 patients with RA at their center. The scales showed that patients with RA have higher levels of pain, fatigue, and sleep disturbances, as well as worse physical function, than population norms.

Dr. Bingham and colleagues also evaluated the performance of the system in patients with active RA who were starting on or switching to a different disease-modifying antirheumatic drug (DMARD). As they reported in 2019, among 106 participants who completed the 12-week study, all PROMIS scores improved after DMARD initiation (P ≤ .05). In addition, except for the depression domain, changes in all assessed PROMIS measures correlated with changes in Clinical Disease Activity Index scores.

To see whether integrating PROs into routine clinics could have an effect on care, Dr. Bingham and colleagues conducted a prospective cohort study, which showed that with the additional patient-reported data, clinicians changed or adjusted RA treatment in 16%-19% of visits, identified new symptoms in 27%-38%, and suggested nonpharmacologic interventions in 4%-11%.

“This is information that’s being used, and it’s going into changing medical decision making,” he said.

Summarizing his work, Dr. Bingham told the audience “I hope that I have convinced you that patients with RA prioritize domains that are impacted by their disease. PROMIS measures are really state-of-the-science methods to evaluate multiple aspects of health-related quality of life, and what I’ll note to you is that these have been translated into multiple languages internationally. There are Spanish-language versions, there are Chinese language versions, there are versions for every country in the [European Union] that have been validated and can be used.”
 

It’s a Start

In the Q & A following the presentation, Daniel H. Solomon, MD, MPH, from Brigham and Women’s Hospital in Boston, commented that “the measurement issues and automating measurements seems like it’s a fundamental practice issue — how to manage the system and how to manage patients better, and I feel like we’re kind of scratching the surface.”

He said that artificial intelligence and PROs in clinic offer some promise for improving care but added that “we can do better than this. We can figure out better systems for measuring PROs: Having patients measure PROs, having patients tell us about their PROs so they don’t have to come in, or coming in only when they need to come in, when they’re really flaring. There are lots of innovative ways of thinking about these tools, and it feels like we’re kind of on the cusp of really taking advantage.”

Dr. Bingham’s work is supported by the Patient-Centered Outcomes Research Institute, National Institutes of Health, Ira T. Fine Discovery Fund, Johns Hopkins Arthritis Center Discovery Fund, Camille J. Morgan Arthritis Research and Education Fund, and Scheer Family Foundation and Joanne and John Rogers. He disclosed consulting for AbbVie, Janssen, Lilly, and Sanofi and serving as a board member of the PROMIS health organization, co-chair of the Omeract Technical Advisory Group, and member of the C-PATH RA PRO working group. Dr. Solomon had no relevant disclosures.

A version of this article appeared on Medscape.com.

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New Federal Rule Delivers Workplace Support, Time Off for Pregnant Docs

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Pregnant physicians may receive more workplace accommodations and protection against discrimination thanks to an updated rule from the US Equal Employment Opportunity Commission (EEOC). The guidelines could prevent women from losing critical career momentum. 

The Pregnant Workers Fairness Act (PWFA) aims to help workers balance professional demands with healthy pregnancies. It requires employers to provide reasonable accommodations for a “worker’s known limitations,” including physical or mental conditions associated with “pregnancy, childbirth, or related medical conditions.”

Reasonable accommodations vary but may involve time off to attend healthcare appointments or recover from childbirth, extra breaks during a shift, shorter work hours, or the ability to sit instead of stand. Private and public sector employers, including state and local governments, federal agencies, and employment agencies, must abide by the new guidelines unless they can provide evidence that doing so will cause undue hardship. 

Female doctors have historically encountered significant barriers to family planning. Years of training cause them to delay having children, often leading to higher rates of infertilitymiscarriage, and pregnancy complications than in the general population. 

Some specialties, like surgeons, are particularly at risk, with 42% reporting at least one pregnancy loss. Most surgeons work their regular schedules until delivery despite desiring workload reductions, commonly citing unsupportive workplaces as a reason for not seeking accommodations. 

Trauma surgeon Qaali Hussein, MD, became pregnant with her first child during her intern year in 2008. She told this news organization that her residency program didn’t even have a maternity policy at the time, and her male supervisor was certain that motherhood would end her surgical career. 

She shared how “women usually waited until the end of their training to get pregnant. No one had ever gotten pregnant during the program and returned from maternity leave. I was the first to do so, so there wasn’t a policy or any program support to say, ‘What can we do to help?’ ”

Dr. Hussein used her vacation and sick time, returning to work 4 weeks after delivery. She had five more children, including twins her chief year and another baby during fellowship training in 2014. 

Each subsequent pregnancy was met with the same response from program leadership, she recalled. “They’d say, ‘This is it. You may have been able to do the first and second child, but this one will be impossible.’ ”

After the PWFA regulations first became enforceable in June, the EEOC accepted public feedback. The guidelines received nearly 100,000 comments, spurred mainly by the inclusion of abortion care as a qualifying condition for which an employee could receive accommodations. About 54,000 comments called for abortion to be excluded from the final rule, and 40,000 supported keeping the clause. 

The EEOC issued the final rule on April 15. It includes abortion care. However, the updated rule “does not require any employee to have — or not to have — an abortion, does not require taxpayers to pay for any abortions, and does not compel health care providers to provide any abortions,” the unpublished version of the final rule said. It is scheduled to take effect 60 days after its publication in the Federal Register on April 19.
 

 

 

Increasing Support for Doctor-Moms

The PWFA supplements other EEOC protections, such as pregnancy discrimination under Title VII of the Civil Rights Act of 1964 and access to reasonable accommodations under the Americans with Disabilities Act. In addition, it builds upon Department of Labor regulations, like the PUMP Act for breastfeeding employees and the Family and Medical Leave Act, which provides 12 weeks of unpaid, job-protected leave for the arrival of a child or certain medical conditions.

FMLA applies only to employees who have worked full-time for at least 12 months for an employer with 50 or more employees. Meanwhile, the unpaid, job-protected leave under the PWFA has no waiting period, lowers the required number of employees to 15, and permits accommodations for up to 40 weeks. 

Employers are encouraged to honor “common and simple” requests, like using a closer parking space or pumping or nursing at work, without requiring a doctor’s note, the rule said. 

Efforts to improve family leave policies for physicians and residents have been gaining traction. In 2021, the American Board of Medical Specialties began requiring its member boards with training programs lasting 2 or more years to allow at least 6 weeks off for parental, caregiver, and medical leave. This time can be taken without exhausting vacation or sick leave or requiring an extension in training. Over half of the 24 member boards permit leave beyond 6 weeks, including the American Boards of Allergy and Immunology, Emergency Medicine, Family Medicine, Radiology, and Surgery. 

Estefania Oliveros, MD, MSc, cardiologist and assistant professor at the Lewis Katz School of Medicine at Temple University, Philadelphia, told this news organization that the Accreditation Council for Graduate Medical Education also requires that residents and fellows receive 6 weeks of paid leave

“We add to that vacation time, so it gives them at least 8 weeks,” she said. The school has created spaces for nursing mothers — something neither she nor Dr. Hussein had access to when breastfeeding — and encourages the attendings to be proactive in excusing pregnant fellows for appointments. 

This differs significantly from her fellowship training experience 6 years ago at another institution, where she worked without accommodations until the day before her cesarean delivery. Dr. Oliveros had to use all her vacation time for recovery, returning to the program after 4 weeks instead of the recommended 6. 

“And that’s the story you hear all the time. Not because people are ill-intended; I just don’t think the system is designed to accommodate women, so we lose a lot of talent that way,” said Dr. Oliveros, whose 2019 survey in the Journal of the American College of Cardiology called for more support and protections for pregnant doctors. 

Both doctors believe the PWFA will be beneficial but only if leadership in the field takes up the cause. 

“The cultures of these institutions determine whether women feel safe or even confident enough to have children in medical school or residency,” said Dr. Hussein. 
 

A version of this article appeared on Medscape.com.

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Pregnant physicians may receive more workplace accommodations and protection against discrimination thanks to an updated rule from the US Equal Employment Opportunity Commission (EEOC). The guidelines could prevent women from losing critical career momentum. 

The Pregnant Workers Fairness Act (PWFA) aims to help workers balance professional demands with healthy pregnancies. It requires employers to provide reasonable accommodations for a “worker’s known limitations,” including physical or mental conditions associated with “pregnancy, childbirth, or related medical conditions.”

Reasonable accommodations vary but may involve time off to attend healthcare appointments or recover from childbirth, extra breaks during a shift, shorter work hours, or the ability to sit instead of stand. Private and public sector employers, including state and local governments, federal agencies, and employment agencies, must abide by the new guidelines unless they can provide evidence that doing so will cause undue hardship. 

Female doctors have historically encountered significant barriers to family planning. Years of training cause them to delay having children, often leading to higher rates of infertilitymiscarriage, and pregnancy complications than in the general population. 

Some specialties, like surgeons, are particularly at risk, with 42% reporting at least one pregnancy loss. Most surgeons work their regular schedules until delivery despite desiring workload reductions, commonly citing unsupportive workplaces as a reason for not seeking accommodations. 

Trauma surgeon Qaali Hussein, MD, became pregnant with her first child during her intern year in 2008. She told this news organization that her residency program didn’t even have a maternity policy at the time, and her male supervisor was certain that motherhood would end her surgical career. 

She shared how “women usually waited until the end of their training to get pregnant. No one had ever gotten pregnant during the program and returned from maternity leave. I was the first to do so, so there wasn’t a policy or any program support to say, ‘What can we do to help?’ ”

Dr. Hussein used her vacation and sick time, returning to work 4 weeks after delivery. She had five more children, including twins her chief year and another baby during fellowship training in 2014. 

Each subsequent pregnancy was met with the same response from program leadership, she recalled. “They’d say, ‘This is it. You may have been able to do the first and second child, but this one will be impossible.’ ”

After the PWFA regulations first became enforceable in June, the EEOC accepted public feedback. The guidelines received nearly 100,000 comments, spurred mainly by the inclusion of abortion care as a qualifying condition for which an employee could receive accommodations. About 54,000 comments called for abortion to be excluded from the final rule, and 40,000 supported keeping the clause. 

The EEOC issued the final rule on April 15. It includes abortion care. However, the updated rule “does not require any employee to have — or not to have — an abortion, does not require taxpayers to pay for any abortions, and does not compel health care providers to provide any abortions,” the unpublished version of the final rule said. It is scheduled to take effect 60 days after its publication in the Federal Register on April 19.
 

 

 

Increasing Support for Doctor-Moms

The PWFA supplements other EEOC protections, such as pregnancy discrimination under Title VII of the Civil Rights Act of 1964 and access to reasonable accommodations under the Americans with Disabilities Act. In addition, it builds upon Department of Labor regulations, like the PUMP Act for breastfeeding employees and the Family and Medical Leave Act, which provides 12 weeks of unpaid, job-protected leave for the arrival of a child or certain medical conditions.

FMLA applies only to employees who have worked full-time for at least 12 months for an employer with 50 or more employees. Meanwhile, the unpaid, job-protected leave under the PWFA has no waiting period, lowers the required number of employees to 15, and permits accommodations for up to 40 weeks. 

Employers are encouraged to honor “common and simple” requests, like using a closer parking space or pumping or nursing at work, without requiring a doctor’s note, the rule said. 

Efforts to improve family leave policies for physicians and residents have been gaining traction. In 2021, the American Board of Medical Specialties began requiring its member boards with training programs lasting 2 or more years to allow at least 6 weeks off for parental, caregiver, and medical leave. This time can be taken without exhausting vacation or sick leave or requiring an extension in training. Over half of the 24 member boards permit leave beyond 6 weeks, including the American Boards of Allergy and Immunology, Emergency Medicine, Family Medicine, Radiology, and Surgery. 

Estefania Oliveros, MD, MSc, cardiologist and assistant professor at the Lewis Katz School of Medicine at Temple University, Philadelphia, told this news organization that the Accreditation Council for Graduate Medical Education also requires that residents and fellows receive 6 weeks of paid leave

“We add to that vacation time, so it gives them at least 8 weeks,” she said. The school has created spaces for nursing mothers — something neither she nor Dr. Hussein had access to when breastfeeding — and encourages the attendings to be proactive in excusing pregnant fellows for appointments. 

This differs significantly from her fellowship training experience 6 years ago at another institution, where she worked without accommodations until the day before her cesarean delivery. Dr. Oliveros had to use all her vacation time for recovery, returning to the program after 4 weeks instead of the recommended 6. 

“And that’s the story you hear all the time. Not because people are ill-intended; I just don’t think the system is designed to accommodate women, so we lose a lot of talent that way,” said Dr. Oliveros, whose 2019 survey in the Journal of the American College of Cardiology called for more support and protections for pregnant doctors. 

Both doctors believe the PWFA will be beneficial but only if leadership in the field takes up the cause. 

“The cultures of these institutions determine whether women feel safe or even confident enough to have children in medical school or residency,” said Dr. Hussein. 
 

A version of this article appeared on Medscape.com.

 

Pregnant physicians may receive more workplace accommodations and protection against discrimination thanks to an updated rule from the US Equal Employment Opportunity Commission (EEOC). The guidelines could prevent women from losing critical career momentum. 

The Pregnant Workers Fairness Act (PWFA) aims to help workers balance professional demands with healthy pregnancies. It requires employers to provide reasonable accommodations for a “worker’s known limitations,” including physical or mental conditions associated with “pregnancy, childbirth, or related medical conditions.”

Reasonable accommodations vary but may involve time off to attend healthcare appointments or recover from childbirth, extra breaks during a shift, shorter work hours, or the ability to sit instead of stand. Private and public sector employers, including state and local governments, federal agencies, and employment agencies, must abide by the new guidelines unless they can provide evidence that doing so will cause undue hardship. 

Female doctors have historically encountered significant barriers to family planning. Years of training cause them to delay having children, often leading to higher rates of infertilitymiscarriage, and pregnancy complications than in the general population. 

Some specialties, like surgeons, are particularly at risk, with 42% reporting at least one pregnancy loss. Most surgeons work their regular schedules until delivery despite desiring workload reductions, commonly citing unsupportive workplaces as a reason for not seeking accommodations. 

Trauma surgeon Qaali Hussein, MD, became pregnant with her first child during her intern year in 2008. She told this news organization that her residency program didn’t even have a maternity policy at the time, and her male supervisor was certain that motherhood would end her surgical career. 

She shared how “women usually waited until the end of their training to get pregnant. No one had ever gotten pregnant during the program and returned from maternity leave. I was the first to do so, so there wasn’t a policy or any program support to say, ‘What can we do to help?’ ”

Dr. Hussein used her vacation and sick time, returning to work 4 weeks after delivery. She had five more children, including twins her chief year and another baby during fellowship training in 2014. 

Each subsequent pregnancy was met with the same response from program leadership, she recalled. “They’d say, ‘This is it. You may have been able to do the first and second child, but this one will be impossible.’ ”

After the PWFA regulations first became enforceable in June, the EEOC accepted public feedback. The guidelines received nearly 100,000 comments, spurred mainly by the inclusion of abortion care as a qualifying condition for which an employee could receive accommodations. About 54,000 comments called for abortion to be excluded from the final rule, and 40,000 supported keeping the clause. 

The EEOC issued the final rule on April 15. It includes abortion care. However, the updated rule “does not require any employee to have — or not to have — an abortion, does not require taxpayers to pay for any abortions, and does not compel health care providers to provide any abortions,” the unpublished version of the final rule said. It is scheduled to take effect 60 days after its publication in the Federal Register on April 19.
 

 

 

Increasing Support for Doctor-Moms

The PWFA supplements other EEOC protections, such as pregnancy discrimination under Title VII of the Civil Rights Act of 1964 and access to reasonable accommodations under the Americans with Disabilities Act. In addition, it builds upon Department of Labor regulations, like the PUMP Act for breastfeeding employees and the Family and Medical Leave Act, which provides 12 weeks of unpaid, job-protected leave for the arrival of a child or certain medical conditions.

FMLA applies only to employees who have worked full-time for at least 12 months for an employer with 50 or more employees. Meanwhile, the unpaid, job-protected leave under the PWFA has no waiting period, lowers the required number of employees to 15, and permits accommodations for up to 40 weeks. 

Employers are encouraged to honor “common and simple” requests, like using a closer parking space or pumping or nursing at work, without requiring a doctor’s note, the rule said. 

Efforts to improve family leave policies for physicians and residents have been gaining traction. In 2021, the American Board of Medical Specialties began requiring its member boards with training programs lasting 2 or more years to allow at least 6 weeks off for parental, caregiver, and medical leave. This time can be taken without exhausting vacation or sick leave or requiring an extension in training. Over half of the 24 member boards permit leave beyond 6 weeks, including the American Boards of Allergy and Immunology, Emergency Medicine, Family Medicine, Radiology, and Surgery. 

Estefania Oliveros, MD, MSc, cardiologist and assistant professor at the Lewis Katz School of Medicine at Temple University, Philadelphia, told this news organization that the Accreditation Council for Graduate Medical Education also requires that residents and fellows receive 6 weeks of paid leave

“We add to that vacation time, so it gives them at least 8 weeks,” she said. The school has created spaces for nursing mothers — something neither she nor Dr. Hussein had access to when breastfeeding — and encourages the attendings to be proactive in excusing pregnant fellows for appointments. 

This differs significantly from her fellowship training experience 6 years ago at another institution, where she worked without accommodations until the day before her cesarean delivery. Dr. Oliveros had to use all her vacation time for recovery, returning to the program after 4 weeks instead of the recommended 6. 

“And that’s the story you hear all the time. Not because people are ill-intended; I just don’t think the system is designed to accommodate women, so we lose a lot of talent that way,” said Dr. Oliveros, whose 2019 survey in the Journal of the American College of Cardiology called for more support and protections for pregnant doctors. 

Both doctors believe the PWFA will be beneficial but only if leadership in the field takes up the cause. 

“The cultures of these institutions determine whether women feel safe or even confident enough to have children in medical school or residency,” said Dr. Hussein. 
 

A version of this article appeared on Medscape.com.

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AI Surpasses Harvard Docs on Clinical Reasoning Test

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Mon, 04/22/2024 - 15:31

 

TOPLINE: 

A study comparing the clinical reasoning of an artificial intelligence (AI) model with that of physicians found the AI outperformed residents and attending physicians in simulated cases. The AI had more instances of incorrect reasoning than the doctors did but scored better overall.

METHODOLOGY:

  • The study involved 39 physicians from two academic medical centers in Boston and the generative AI model GPT-4.
  • Participants were presented with 20 simulated clinical cases involving common problems such as pharyngitisheadache, abdominal pain, cough, and chest pain. Each case included sections describing the triage presentation, review of systems, physical examination, and diagnostic testing.
  • The primary outcome was the Revised-IDEA (R-IDEA) score, a 10-point scale evaluating clinical reasoning documentation across four domains: Interpretive summary, differential diagnosis, explanation of the lead diagnosis, and alternative diagnoses.

TAKEAWAY: 

  • AI achieved a median R-IDEA score of 10, higher than attending physicians (median score, 9) and residents (8).
  • The chatbot had a significantly higher estimated probability of achieving a high R-IDEA score of 8-10 (0.99) compared with attendings (0.76) and residents (0.56).
  • AI provided more responses that contained instances of incorrect clinical reasoning (13.8%) than residents (2.8%) and attending physicians (12.5%). It performed similarly to physicians in diagnostic accuracy and inclusion of cannot-miss diagnoses.

IN PRACTICE:

“Future research should assess clinical reasoning of the LLM-physician interaction, as LLMs will more likely augment, not replace, the human reasoning process,” the authors of the study wrote. 

SOURCE:

Adam Rodman, MD, MPH, with Beth Israel Deaconess Medical Center, Boston, was the corresponding author on the paper. The research was published online in JAMA Internal Medicine

LIMITATIONS: 

Simulated clinical cases may not replicate performance in real-world scenarios. Further training could enhance the performance of the AI, so the study may underestimate its capabilities, the researchers noted. 

DISCLOSURES:

The study was supported by the Harvard Clinical and Translational Science Center and Harvard University. Authors disclosed financial ties to publishing companies and Solera Health. Dr. Rodman received funding from the Gordon and Betty Moore Foundation.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

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TOPLINE: 

A study comparing the clinical reasoning of an artificial intelligence (AI) model with that of physicians found the AI outperformed residents and attending physicians in simulated cases. The AI had more instances of incorrect reasoning than the doctors did but scored better overall.

METHODOLOGY:

  • The study involved 39 physicians from two academic medical centers in Boston and the generative AI model GPT-4.
  • Participants were presented with 20 simulated clinical cases involving common problems such as pharyngitisheadache, abdominal pain, cough, and chest pain. Each case included sections describing the triage presentation, review of systems, physical examination, and diagnostic testing.
  • The primary outcome was the Revised-IDEA (R-IDEA) score, a 10-point scale evaluating clinical reasoning documentation across four domains: Interpretive summary, differential diagnosis, explanation of the lead diagnosis, and alternative diagnoses.

TAKEAWAY: 

  • AI achieved a median R-IDEA score of 10, higher than attending physicians (median score, 9) and residents (8).
  • The chatbot had a significantly higher estimated probability of achieving a high R-IDEA score of 8-10 (0.99) compared with attendings (0.76) and residents (0.56).
  • AI provided more responses that contained instances of incorrect clinical reasoning (13.8%) than residents (2.8%) and attending physicians (12.5%). It performed similarly to physicians in diagnostic accuracy and inclusion of cannot-miss diagnoses.

IN PRACTICE:

“Future research should assess clinical reasoning of the LLM-physician interaction, as LLMs will more likely augment, not replace, the human reasoning process,” the authors of the study wrote. 

SOURCE:

Adam Rodman, MD, MPH, with Beth Israel Deaconess Medical Center, Boston, was the corresponding author on the paper. The research was published online in JAMA Internal Medicine

LIMITATIONS: 

Simulated clinical cases may not replicate performance in real-world scenarios. Further training could enhance the performance of the AI, so the study may underestimate its capabilities, the researchers noted. 

DISCLOSURES:

The study was supported by the Harvard Clinical and Translational Science Center and Harvard University. Authors disclosed financial ties to publishing companies and Solera Health. Dr. Rodman received funding from the Gordon and Betty Moore Foundation.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

 

TOPLINE: 

A study comparing the clinical reasoning of an artificial intelligence (AI) model with that of physicians found the AI outperformed residents and attending physicians in simulated cases. The AI had more instances of incorrect reasoning than the doctors did but scored better overall.

METHODOLOGY:

  • The study involved 39 physicians from two academic medical centers in Boston and the generative AI model GPT-4.
  • Participants were presented with 20 simulated clinical cases involving common problems such as pharyngitisheadache, abdominal pain, cough, and chest pain. Each case included sections describing the triage presentation, review of systems, physical examination, and diagnostic testing.
  • The primary outcome was the Revised-IDEA (R-IDEA) score, a 10-point scale evaluating clinical reasoning documentation across four domains: Interpretive summary, differential diagnosis, explanation of the lead diagnosis, and alternative diagnoses.

TAKEAWAY: 

  • AI achieved a median R-IDEA score of 10, higher than attending physicians (median score, 9) and residents (8).
  • The chatbot had a significantly higher estimated probability of achieving a high R-IDEA score of 8-10 (0.99) compared with attendings (0.76) and residents (0.56).
  • AI provided more responses that contained instances of incorrect clinical reasoning (13.8%) than residents (2.8%) and attending physicians (12.5%). It performed similarly to physicians in diagnostic accuracy and inclusion of cannot-miss diagnoses.

IN PRACTICE:

“Future research should assess clinical reasoning of the LLM-physician interaction, as LLMs will more likely augment, not replace, the human reasoning process,” the authors of the study wrote. 

SOURCE:

Adam Rodman, MD, MPH, with Beth Israel Deaconess Medical Center, Boston, was the corresponding author on the paper. The research was published online in JAMA Internal Medicine

LIMITATIONS: 

Simulated clinical cases may not replicate performance in real-world scenarios. Further training could enhance the performance of the AI, so the study may underestimate its capabilities, the researchers noted. 

DISCLOSURES:

The study was supported by the Harvard Clinical and Translational Science Center and Harvard University. Authors disclosed financial ties to publishing companies and Solera Health. Dr. Rodman received funding from the Gordon and Betty Moore Foundation.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

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