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The Journal of Family Practice is a peer-reviewed and indexed journal that provides its 95,000 family physician readers with timely, practical, and evidence-based information that they can immediately put into practice. Research and applied evidence articles, plus patient-oriented departments like Practice Alert, PURLs, and Clinical Inquiries can be found in print and at jfponline.com. The Web site, which logs an average of 125,000 visitors every month, also offers audiocasts by physician specialists and interactive features like Instant Polls and Photo Rounds Friday—a weekly diagnostic puzzle.
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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Consider this tool to reduce antibiotic-associated adverse events in patients with sepsis
ILLUSTRATIVE CASE
A 52-year-old woman presents to the emergency department complaining of dysuria and a fever. Her work-up yields a diagnosis of sepsis secondary to pyelonephritis and bacteremia. She is admitted and started on broad-spectrum antimicrobial therapy. The patient’s symptoms improve significantly over the next 48 hours of treatment. When should antibiotic therapy be discontinued to reduce the patient’s risk for antibiotic-associated AEs and to optimize antimicrobial stewardship?
Antimicrobial resistance is a growing public health risk associated with considerable morbidity and mortality, extended hospitalization, and increased medical expenditures.2-4 Antibiotic stewardship is vital in curbing antimicrobial resistance. The predictive biomarker PCT has emerged as both a diagnostic and prognostic agent for numerous infectious diseases. It has recently received much attention as an adjunct to clinical judgment for discontinuation of antibiotic therapy in hospitalized patients with lower respiratory tract infections and/or sepsis.5-11 Indeed, use of PCT guidance in these patients has resulted in decreased AEs, as well as an enhanced survival benefit.5-15
The utility of PCT-guided early discontinuation of antibiotics had yet to be studied in an expanded population of hospitalized patients with sepsis—especially with regard to AEs associated with multidrug-resistant organisms (MDROs) and Clostridioides difficile (formerly Clostridium difficile). The Surviving Sepsis Campaign’s 2021 international guidelines support the use of PCT in conjunction with clinical evaluation for shortening the duration of antibiotic therapy (“weak recommendation, low quality of evidence”).16 They also suggest daily reassessment for de-escalation of antibiotic use (“weak recommendation, very low quality of evidence”) as a possible way to decrease MDROs and AEs but state that more and better trials are needed.15
STUDY SUMMARY
PCT-guided intervention reduced infection-associated AEs
This pragmatic, real-world, multicenter, randomized clinical trial evaluated the use of PCT-guided early discontinuation of antibiotic therapy in patients with sepsis, in hopes of decreasing infection-associated AEs related to prolonged antibiotic exposure.1 The trial took place in 7 hospitals in Athens, Greece, with 266 patients randomized to the PCT-guided intervention or the standard of care (SOC)—the 2016 international guidelines for the management of sepsis and septic shock from the Surviving Sepsis campaign.17 Study participants had sepsis, as defined by a sequential organ failure assessment (SOFA) score ≥ 2, and infections that included pneumonia, pyelonephritis, or bacteremia.16 Pregnancy, lactation, HIV infection with a low CD4 count, neutropenia, cystic fibrosis, and viral, parasitic, or tuberculosis infections were exclusion criteria. Of note, all patients were managed on general medical wards and not in intensive care units.
Serum PCT samples were collected at baseline and then at Day 5 of therapy. Discontinuation of antibiotic therapy in the PCT trial arm occurred once PCT levels were ≤ 0.5 mcg/L or were reduced by at least 80%. If PCT levels did not meet one of these criteria, the lab test would be repeated daily and antibiotic therapy would continue until the rule was met. Neither patients nor investigators were blinded to the treatment assignments, but investigators in the SOC arm were kept unaware of Day 5 PCT results. In the PCT arm, 71% of participants met Day 5 criteria for stopping antibiotics, and a retrospective analysis indicated that a near-identical 70% in the SOC arm also would have met the same criteria.
The assessment of stool colonization with either C difficile or MDROs was done by stool cultures at baseline and on Days 7, 28, and 180.
The primary outcome of infection-associated AEs, which was evaluated at 180 days, was defined as new cases of C difficile or MDRO infection, or death associated with baseline infection with either C difficile or an MDRO. Of the 133 participants allocated to each trial arm, 8 patients in the intervention group and 2 in the SOC group withdrew consent prior to treatment in the intervention group, with the remaining 125 and 131 participants, respectively, completing the interventions and not lost to follow-up.
Continue to: In an intention-to-treat analysis...
In an intention-to-treat analysis, 9 participants (7.2%; 95% CI, 3.8%-13.1%) in the PCT group compared with 20 participants (15.3%; 95% CI, 10.1%-22.4%) in the SOC group experienced the primary outcome of an antibiotic-associated AE at 180 days, resulting in a hazard ratio (HR) of 0.45 (95% CI, 0.2-0.98).
Secondary outcomes also favored the PCT arm regarding 28-day mortality (19 vs 37 patients; HR = 0.51; 95% CI, 0.29-0.89), median length of antibiotic treatment (5 days in the PCT group and 10 days in the SOC group; P < .001), and median hospitalization cost (24% greater in the SOC group; P = .05). Results for 180-day mortality were 30.4% in the PCT arm and 38.2% in the SOC arm (HR = 0.71; 95% CI, 0.42-1.19), thereby not achieving statistical significance.
WHAT'S NEW
An effective tool in reducing AEs in patients with sepsis
In this multicenter trial, PCT proved successful as a clinical decision tool for discontinuing antibiotic therapy and decreasing infection-associated AEs in patients with sepsis.
Caveats
A promising approach but its superiority is uncertain
The confidence interval for the AE hazard ratio was very wide, but significant, suggesting greater uncertainty and less precision in the chance of obtaining improved outcomes with PCT-guided intervention. However, these data also clarify that outcomes should (at least) not be worse with PCT-directed therapy.
CHALLENGES TO IMPLEMENTATION
Assay limitations and potential resistance to a new decision tool
The primary challenge to implementation is likely the availability of the PCT assay and the immediacy of turnaround time to enable physicians to make daily decisions regarding antibiotic therapy de-escalation. Additionally, as with any new knowledge, local culture and physician buy-in may limit implementation of this ever-more-valuable patient care tool.
1. Kyriazopoulou E, Liaskou-Antoniou L, Adamis G, et al. Procalcitonin to reduce long-term infection-associated adverse events in sepsis: a randomized trial. Am J Respir Crit Care Med. 2021;203:202-210. doi: 10.1164/rccm.202004-1201OC
2. European Centre for Disease Prevention and Control. US CDC report on antibiotic resistance threats in the United States, 2013. ECDC comment. September 18, 2013. Accessed December 29, 2022. www.ecdc.europa.eu/en/news-events/us-cdc-report-antibiotic-resistance-threats-united-states-2013
3. Peters L, Olson L, Khu DTK, et al. Multiple antibiotic resistance as a risk factor for mortality and prolonged hospital stay: a cohort study among neonatal intensive care patients with hospital-acquired infections caused by gram-negative bacteria in Vietnam. PloS One. 2019;14:e0215666. doi: 10.1371/journal.pone.0215666
4. Cosgrove SE. The relationship between antimicrobial resistance and patient outcomes: mortality, length of hospital stay, and health care costs. Clin Infect Dis. 2006;42(suppl 2):S82-S89. doi: 10.1086/499406
5. Schuetz P, Beishuizen A, Broyles M, et al. Procalcitonin (PCT)-guided antibiotic stewardship: an international experts consensus on optimized clinical use. Clin Chem Lab Med. 2019;57:1308-1318. doi: 10.1515/cclm-2018-1181
6. Schuetz P, Christ-Crain M, Thomann R, et al; ProHOSP Study Group. Effect of procalcitonin-based guidelines vs standard guidelines on antibiotic use in lower respiratory tract infections: the ProHOSP randomized controlled trial. JAMA. 2009;302:1059-1066. doi: 10.1001/jama.2009.1297
7. Bouadma L, Luyt CE, Tubach F, et al; PRORATA trial group. Use of procalcitonin to reduce patients’ exposure to antibiotics in intensive care units (PRORATA trial): a multicentre randomised controlled trial. Lancet. 2010;375:463-474. doi: 10.1016/S0140-6736(09)61879-1
8. Christ-Crain M, Jaccard-Stolz D, Bingisser R, et al. Effect of procalcitonin-guided treatment on antibiotic use and outcome in lower respiratory tract infections: cluster-randomised, single-blinded intervention trial. Lancet. 2004;363:600-607. doi: 10.1016/S0140-6736(04)15591-8
9. Christ-Crain M, Stolz D, Bingisser R, et al. Procalcitonin guidance of antibiotic therapy in community-acquired pneumonia: a randomized trial. Am J Respir Crit Care Med. 2006;174:84-93. doi: 10.1164/rccm.200512-1922OC
10. de Jong E, van Oers JA, Beishuizen A, et al. Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: a randomised, controlled, open-label trial. Lancet Infect Dis. 2016;16:819-827. doi: 10.1016/S1473-3099(16)00053-0
11. Nobre V, Harbarth S, Graf JD, et al. Use of procalcitonin to shorten antibiotic treatment duration in septic patients: a randomized trial. Am J Respir Crit Care Med. 2008;177:498-505. doi: 10.1164/rccm.200708-1238OC
12. Schuetz P, Wirz Y, Sager R, et al. Effect of procalcitonin-guided antibiotic treatment on mortality in acute respiratory infections: a patient level meta-analysis. Lancet Infect Dis. 2018;18:95-107. doi: 10.1016/S1473-3099(17)30592-3
13. Schuetz P, Chiappa V, Briel M, et al. Procalcitonin algorithms for antibiotic therapy decisions: a systematic review of randomized controlled trials and recommendations for clinical algorithms. Arch Intern Med. 2011;171:1322-1331. doi: 10.1001/archin ternmed.2011.318
14. Wirz Y, Meier MA, Bouadma L, et al. Effect of procalcitonin-guided antibiotic treatment on clinical outcomes in intensive care unit patients with infection and sepsis patients: a patient-level meta-analysis of randomized trials. Crit Care. 2018;22:191. doi: 10.1186/s13054-018-2125-7
15. Elnajdy D, El-Dahiyat F. Antibiotics duration guided by biomarkers in hospitalized adult patients; a systematic review and meta-analysis. Infect Dis (Lond). 2022;54:387-402. doi: 10.1080/23744235.2022.2037701
16. Evans L, Rhodes A, Alhazzani W, et al. Surviving Sepsis Campaign: international guidelines for management of sepsis and septic shock 2021. Crit Care Med. 2021;49:e1063-e1143. doi: 10.1097/CCM.0000000000005337
17. Rhodes A, Evans LE, Alhazzani W, et al. Surviving Sepsis Campaign: international guidelines for management of sepsis and septic shock: 2016. Intensive Care Med. 2017;43:304-377. doi: 10.1007/s00134-017-4683-6
ILLUSTRATIVE CASE
A 52-year-old woman presents to the emergency department complaining of dysuria and a fever. Her work-up yields a diagnosis of sepsis secondary to pyelonephritis and bacteremia. She is admitted and started on broad-spectrum antimicrobial therapy. The patient’s symptoms improve significantly over the next 48 hours of treatment. When should antibiotic therapy be discontinued to reduce the patient’s risk for antibiotic-associated AEs and to optimize antimicrobial stewardship?
Antimicrobial resistance is a growing public health risk associated with considerable morbidity and mortality, extended hospitalization, and increased medical expenditures.2-4 Antibiotic stewardship is vital in curbing antimicrobial resistance. The predictive biomarker PCT has emerged as both a diagnostic and prognostic agent for numerous infectious diseases. It has recently received much attention as an adjunct to clinical judgment for discontinuation of antibiotic therapy in hospitalized patients with lower respiratory tract infections and/or sepsis.5-11 Indeed, use of PCT guidance in these patients has resulted in decreased AEs, as well as an enhanced survival benefit.5-15
The utility of PCT-guided early discontinuation of antibiotics had yet to be studied in an expanded population of hospitalized patients with sepsis—especially with regard to AEs associated with multidrug-resistant organisms (MDROs) and Clostridioides difficile (formerly Clostridium difficile). The Surviving Sepsis Campaign’s 2021 international guidelines support the use of PCT in conjunction with clinical evaluation for shortening the duration of antibiotic therapy (“weak recommendation, low quality of evidence”).16 They also suggest daily reassessment for de-escalation of antibiotic use (“weak recommendation, very low quality of evidence”) as a possible way to decrease MDROs and AEs but state that more and better trials are needed.15
STUDY SUMMARY
PCT-guided intervention reduced infection-associated AEs
This pragmatic, real-world, multicenter, randomized clinical trial evaluated the use of PCT-guided early discontinuation of antibiotic therapy in patients with sepsis, in hopes of decreasing infection-associated AEs related to prolonged antibiotic exposure.1 The trial took place in 7 hospitals in Athens, Greece, with 266 patients randomized to the PCT-guided intervention or the standard of care (SOC)—the 2016 international guidelines for the management of sepsis and septic shock from the Surviving Sepsis campaign.17 Study participants had sepsis, as defined by a sequential organ failure assessment (SOFA) score ≥ 2, and infections that included pneumonia, pyelonephritis, or bacteremia.16 Pregnancy, lactation, HIV infection with a low CD4 count, neutropenia, cystic fibrosis, and viral, parasitic, or tuberculosis infections were exclusion criteria. Of note, all patients were managed on general medical wards and not in intensive care units.
Serum PCT samples were collected at baseline and then at Day 5 of therapy. Discontinuation of antibiotic therapy in the PCT trial arm occurred once PCT levels were ≤ 0.5 mcg/L or were reduced by at least 80%. If PCT levels did not meet one of these criteria, the lab test would be repeated daily and antibiotic therapy would continue until the rule was met. Neither patients nor investigators were blinded to the treatment assignments, but investigators in the SOC arm were kept unaware of Day 5 PCT results. In the PCT arm, 71% of participants met Day 5 criteria for stopping antibiotics, and a retrospective analysis indicated that a near-identical 70% in the SOC arm also would have met the same criteria.
The assessment of stool colonization with either C difficile or MDROs was done by stool cultures at baseline and on Days 7, 28, and 180.
The primary outcome of infection-associated AEs, which was evaluated at 180 days, was defined as new cases of C difficile or MDRO infection, or death associated with baseline infection with either C difficile or an MDRO. Of the 133 participants allocated to each trial arm, 8 patients in the intervention group and 2 in the SOC group withdrew consent prior to treatment in the intervention group, with the remaining 125 and 131 participants, respectively, completing the interventions and not lost to follow-up.
Continue to: In an intention-to-treat analysis...
In an intention-to-treat analysis, 9 participants (7.2%; 95% CI, 3.8%-13.1%) in the PCT group compared with 20 participants (15.3%; 95% CI, 10.1%-22.4%) in the SOC group experienced the primary outcome of an antibiotic-associated AE at 180 days, resulting in a hazard ratio (HR) of 0.45 (95% CI, 0.2-0.98).
Secondary outcomes also favored the PCT arm regarding 28-day mortality (19 vs 37 patients; HR = 0.51; 95% CI, 0.29-0.89), median length of antibiotic treatment (5 days in the PCT group and 10 days in the SOC group; P < .001), and median hospitalization cost (24% greater in the SOC group; P = .05). Results for 180-day mortality were 30.4% in the PCT arm and 38.2% in the SOC arm (HR = 0.71; 95% CI, 0.42-1.19), thereby not achieving statistical significance.
WHAT'S NEW
An effective tool in reducing AEs in patients with sepsis
In this multicenter trial, PCT proved successful as a clinical decision tool for discontinuing antibiotic therapy and decreasing infection-associated AEs in patients with sepsis.
Caveats
A promising approach but its superiority is uncertain
The confidence interval for the AE hazard ratio was very wide, but significant, suggesting greater uncertainty and less precision in the chance of obtaining improved outcomes with PCT-guided intervention. However, these data also clarify that outcomes should (at least) not be worse with PCT-directed therapy.
CHALLENGES TO IMPLEMENTATION
Assay limitations and potential resistance to a new decision tool
The primary challenge to implementation is likely the availability of the PCT assay and the immediacy of turnaround time to enable physicians to make daily decisions regarding antibiotic therapy de-escalation. Additionally, as with any new knowledge, local culture and physician buy-in may limit implementation of this ever-more-valuable patient care tool.
ILLUSTRATIVE CASE
A 52-year-old woman presents to the emergency department complaining of dysuria and a fever. Her work-up yields a diagnosis of sepsis secondary to pyelonephritis and bacteremia. She is admitted and started on broad-spectrum antimicrobial therapy. The patient’s symptoms improve significantly over the next 48 hours of treatment. When should antibiotic therapy be discontinued to reduce the patient’s risk for antibiotic-associated AEs and to optimize antimicrobial stewardship?
Antimicrobial resistance is a growing public health risk associated with considerable morbidity and mortality, extended hospitalization, and increased medical expenditures.2-4 Antibiotic stewardship is vital in curbing antimicrobial resistance. The predictive biomarker PCT has emerged as both a diagnostic and prognostic agent for numerous infectious diseases. It has recently received much attention as an adjunct to clinical judgment for discontinuation of antibiotic therapy in hospitalized patients with lower respiratory tract infections and/or sepsis.5-11 Indeed, use of PCT guidance in these patients has resulted in decreased AEs, as well as an enhanced survival benefit.5-15
The utility of PCT-guided early discontinuation of antibiotics had yet to be studied in an expanded population of hospitalized patients with sepsis—especially with regard to AEs associated with multidrug-resistant organisms (MDROs) and Clostridioides difficile (formerly Clostridium difficile). The Surviving Sepsis Campaign’s 2021 international guidelines support the use of PCT in conjunction with clinical evaluation for shortening the duration of antibiotic therapy (“weak recommendation, low quality of evidence”).16 They also suggest daily reassessment for de-escalation of antibiotic use (“weak recommendation, very low quality of evidence”) as a possible way to decrease MDROs and AEs but state that more and better trials are needed.15
STUDY SUMMARY
PCT-guided intervention reduced infection-associated AEs
This pragmatic, real-world, multicenter, randomized clinical trial evaluated the use of PCT-guided early discontinuation of antibiotic therapy in patients with sepsis, in hopes of decreasing infection-associated AEs related to prolonged antibiotic exposure.1 The trial took place in 7 hospitals in Athens, Greece, with 266 patients randomized to the PCT-guided intervention or the standard of care (SOC)—the 2016 international guidelines for the management of sepsis and septic shock from the Surviving Sepsis campaign.17 Study participants had sepsis, as defined by a sequential organ failure assessment (SOFA) score ≥ 2, and infections that included pneumonia, pyelonephritis, or bacteremia.16 Pregnancy, lactation, HIV infection with a low CD4 count, neutropenia, cystic fibrosis, and viral, parasitic, or tuberculosis infections were exclusion criteria. Of note, all patients were managed on general medical wards and not in intensive care units.
Serum PCT samples were collected at baseline and then at Day 5 of therapy. Discontinuation of antibiotic therapy in the PCT trial arm occurred once PCT levels were ≤ 0.5 mcg/L or were reduced by at least 80%. If PCT levels did not meet one of these criteria, the lab test would be repeated daily and antibiotic therapy would continue until the rule was met. Neither patients nor investigators were blinded to the treatment assignments, but investigators in the SOC arm were kept unaware of Day 5 PCT results. In the PCT arm, 71% of participants met Day 5 criteria for stopping antibiotics, and a retrospective analysis indicated that a near-identical 70% in the SOC arm also would have met the same criteria.
The assessment of stool colonization with either C difficile or MDROs was done by stool cultures at baseline and on Days 7, 28, and 180.
The primary outcome of infection-associated AEs, which was evaluated at 180 days, was defined as new cases of C difficile or MDRO infection, or death associated with baseline infection with either C difficile or an MDRO. Of the 133 participants allocated to each trial arm, 8 patients in the intervention group and 2 in the SOC group withdrew consent prior to treatment in the intervention group, with the remaining 125 and 131 participants, respectively, completing the interventions and not lost to follow-up.
Continue to: In an intention-to-treat analysis...
In an intention-to-treat analysis, 9 participants (7.2%; 95% CI, 3.8%-13.1%) in the PCT group compared with 20 participants (15.3%; 95% CI, 10.1%-22.4%) in the SOC group experienced the primary outcome of an antibiotic-associated AE at 180 days, resulting in a hazard ratio (HR) of 0.45 (95% CI, 0.2-0.98).
Secondary outcomes also favored the PCT arm regarding 28-day mortality (19 vs 37 patients; HR = 0.51; 95% CI, 0.29-0.89), median length of antibiotic treatment (5 days in the PCT group and 10 days in the SOC group; P < .001), and median hospitalization cost (24% greater in the SOC group; P = .05). Results for 180-day mortality were 30.4% in the PCT arm and 38.2% in the SOC arm (HR = 0.71; 95% CI, 0.42-1.19), thereby not achieving statistical significance.
WHAT'S NEW
An effective tool in reducing AEs in patients with sepsis
In this multicenter trial, PCT proved successful as a clinical decision tool for discontinuing antibiotic therapy and decreasing infection-associated AEs in patients with sepsis.
Caveats
A promising approach but its superiority is uncertain
The confidence interval for the AE hazard ratio was very wide, but significant, suggesting greater uncertainty and less precision in the chance of obtaining improved outcomes with PCT-guided intervention. However, these data also clarify that outcomes should (at least) not be worse with PCT-directed therapy.
CHALLENGES TO IMPLEMENTATION
Assay limitations and potential resistance to a new decision tool
The primary challenge to implementation is likely the availability of the PCT assay and the immediacy of turnaround time to enable physicians to make daily decisions regarding antibiotic therapy de-escalation. Additionally, as with any new knowledge, local culture and physician buy-in may limit implementation of this ever-more-valuable patient care tool.
1. Kyriazopoulou E, Liaskou-Antoniou L, Adamis G, et al. Procalcitonin to reduce long-term infection-associated adverse events in sepsis: a randomized trial. Am J Respir Crit Care Med. 2021;203:202-210. doi: 10.1164/rccm.202004-1201OC
2. European Centre for Disease Prevention and Control. US CDC report on antibiotic resistance threats in the United States, 2013. ECDC comment. September 18, 2013. Accessed December 29, 2022. www.ecdc.europa.eu/en/news-events/us-cdc-report-antibiotic-resistance-threats-united-states-2013
3. Peters L, Olson L, Khu DTK, et al. Multiple antibiotic resistance as a risk factor for mortality and prolonged hospital stay: a cohort study among neonatal intensive care patients with hospital-acquired infections caused by gram-negative bacteria in Vietnam. PloS One. 2019;14:e0215666. doi: 10.1371/journal.pone.0215666
4. Cosgrove SE. The relationship between antimicrobial resistance and patient outcomes: mortality, length of hospital stay, and health care costs. Clin Infect Dis. 2006;42(suppl 2):S82-S89. doi: 10.1086/499406
5. Schuetz P, Beishuizen A, Broyles M, et al. Procalcitonin (PCT)-guided antibiotic stewardship: an international experts consensus on optimized clinical use. Clin Chem Lab Med. 2019;57:1308-1318. doi: 10.1515/cclm-2018-1181
6. Schuetz P, Christ-Crain M, Thomann R, et al; ProHOSP Study Group. Effect of procalcitonin-based guidelines vs standard guidelines on antibiotic use in lower respiratory tract infections: the ProHOSP randomized controlled trial. JAMA. 2009;302:1059-1066. doi: 10.1001/jama.2009.1297
7. Bouadma L, Luyt CE, Tubach F, et al; PRORATA trial group. Use of procalcitonin to reduce patients’ exposure to antibiotics in intensive care units (PRORATA trial): a multicentre randomised controlled trial. Lancet. 2010;375:463-474. doi: 10.1016/S0140-6736(09)61879-1
8. Christ-Crain M, Jaccard-Stolz D, Bingisser R, et al. Effect of procalcitonin-guided treatment on antibiotic use and outcome in lower respiratory tract infections: cluster-randomised, single-blinded intervention trial. Lancet. 2004;363:600-607. doi: 10.1016/S0140-6736(04)15591-8
9. Christ-Crain M, Stolz D, Bingisser R, et al. Procalcitonin guidance of antibiotic therapy in community-acquired pneumonia: a randomized trial. Am J Respir Crit Care Med. 2006;174:84-93. doi: 10.1164/rccm.200512-1922OC
10. de Jong E, van Oers JA, Beishuizen A, et al. Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: a randomised, controlled, open-label trial. Lancet Infect Dis. 2016;16:819-827. doi: 10.1016/S1473-3099(16)00053-0
11. Nobre V, Harbarth S, Graf JD, et al. Use of procalcitonin to shorten antibiotic treatment duration in septic patients: a randomized trial. Am J Respir Crit Care Med. 2008;177:498-505. doi: 10.1164/rccm.200708-1238OC
12. Schuetz P, Wirz Y, Sager R, et al. Effect of procalcitonin-guided antibiotic treatment on mortality in acute respiratory infections: a patient level meta-analysis. Lancet Infect Dis. 2018;18:95-107. doi: 10.1016/S1473-3099(17)30592-3
13. Schuetz P, Chiappa V, Briel M, et al. Procalcitonin algorithms for antibiotic therapy decisions: a systematic review of randomized controlled trials and recommendations for clinical algorithms. Arch Intern Med. 2011;171:1322-1331. doi: 10.1001/archin ternmed.2011.318
14. Wirz Y, Meier MA, Bouadma L, et al. Effect of procalcitonin-guided antibiotic treatment on clinical outcomes in intensive care unit patients with infection and sepsis patients: a patient-level meta-analysis of randomized trials. Crit Care. 2018;22:191. doi: 10.1186/s13054-018-2125-7
15. Elnajdy D, El-Dahiyat F. Antibiotics duration guided by biomarkers in hospitalized adult patients; a systematic review and meta-analysis. Infect Dis (Lond). 2022;54:387-402. doi: 10.1080/23744235.2022.2037701
16. Evans L, Rhodes A, Alhazzani W, et al. Surviving Sepsis Campaign: international guidelines for management of sepsis and septic shock 2021. Crit Care Med. 2021;49:e1063-e1143. doi: 10.1097/CCM.0000000000005337
17. Rhodes A, Evans LE, Alhazzani W, et al. Surviving Sepsis Campaign: international guidelines for management of sepsis and septic shock: 2016. Intensive Care Med. 2017;43:304-377. doi: 10.1007/s00134-017-4683-6
1. Kyriazopoulou E, Liaskou-Antoniou L, Adamis G, et al. Procalcitonin to reduce long-term infection-associated adverse events in sepsis: a randomized trial. Am J Respir Crit Care Med. 2021;203:202-210. doi: 10.1164/rccm.202004-1201OC
2. European Centre for Disease Prevention and Control. US CDC report on antibiotic resistance threats in the United States, 2013. ECDC comment. September 18, 2013. Accessed December 29, 2022. www.ecdc.europa.eu/en/news-events/us-cdc-report-antibiotic-resistance-threats-united-states-2013
3. Peters L, Olson L, Khu DTK, et al. Multiple antibiotic resistance as a risk factor for mortality and prolonged hospital stay: a cohort study among neonatal intensive care patients with hospital-acquired infections caused by gram-negative bacteria in Vietnam. PloS One. 2019;14:e0215666. doi: 10.1371/journal.pone.0215666
4. Cosgrove SE. The relationship between antimicrobial resistance and patient outcomes: mortality, length of hospital stay, and health care costs. Clin Infect Dis. 2006;42(suppl 2):S82-S89. doi: 10.1086/499406
5. Schuetz P, Beishuizen A, Broyles M, et al. Procalcitonin (PCT)-guided antibiotic stewardship: an international experts consensus on optimized clinical use. Clin Chem Lab Med. 2019;57:1308-1318. doi: 10.1515/cclm-2018-1181
6. Schuetz P, Christ-Crain M, Thomann R, et al; ProHOSP Study Group. Effect of procalcitonin-based guidelines vs standard guidelines on antibiotic use in lower respiratory tract infections: the ProHOSP randomized controlled trial. JAMA. 2009;302:1059-1066. doi: 10.1001/jama.2009.1297
7. Bouadma L, Luyt CE, Tubach F, et al; PRORATA trial group. Use of procalcitonin to reduce patients’ exposure to antibiotics in intensive care units (PRORATA trial): a multicentre randomised controlled trial. Lancet. 2010;375:463-474. doi: 10.1016/S0140-6736(09)61879-1
8. Christ-Crain M, Jaccard-Stolz D, Bingisser R, et al. Effect of procalcitonin-guided treatment on antibiotic use and outcome in lower respiratory tract infections: cluster-randomised, single-blinded intervention trial. Lancet. 2004;363:600-607. doi: 10.1016/S0140-6736(04)15591-8
9. Christ-Crain M, Stolz D, Bingisser R, et al. Procalcitonin guidance of antibiotic therapy in community-acquired pneumonia: a randomized trial. Am J Respir Crit Care Med. 2006;174:84-93. doi: 10.1164/rccm.200512-1922OC
10. de Jong E, van Oers JA, Beishuizen A, et al. Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: a randomised, controlled, open-label trial. Lancet Infect Dis. 2016;16:819-827. doi: 10.1016/S1473-3099(16)00053-0
11. Nobre V, Harbarth S, Graf JD, et al. Use of procalcitonin to shorten antibiotic treatment duration in septic patients: a randomized trial. Am J Respir Crit Care Med. 2008;177:498-505. doi: 10.1164/rccm.200708-1238OC
12. Schuetz P, Wirz Y, Sager R, et al. Effect of procalcitonin-guided antibiotic treatment on mortality in acute respiratory infections: a patient level meta-analysis. Lancet Infect Dis. 2018;18:95-107. doi: 10.1016/S1473-3099(17)30592-3
13. Schuetz P, Chiappa V, Briel M, et al. Procalcitonin algorithms for antibiotic therapy decisions: a systematic review of randomized controlled trials and recommendations for clinical algorithms. Arch Intern Med. 2011;171:1322-1331. doi: 10.1001/archin ternmed.2011.318
14. Wirz Y, Meier MA, Bouadma L, et al. Effect of procalcitonin-guided antibiotic treatment on clinical outcomes in intensive care unit patients with infection and sepsis patients: a patient-level meta-analysis of randomized trials. Crit Care. 2018;22:191. doi: 10.1186/s13054-018-2125-7
15. Elnajdy D, El-Dahiyat F. Antibiotics duration guided by biomarkers in hospitalized adult patients; a systematic review and meta-analysis. Infect Dis (Lond). 2022;54:387-402. doi: 10.1080/23744235.2022.2037701
16. Evans L, Rhodes A, Alhazzani W, et al. Surviving Sepsis Campaign: international guidelines for management of sepsis and septic shock 2021. Crit Care Med. 2021;49:e1063-e1143. doi: 10.1097/CCM.0000000000005337
17. Rhodes A, Evans LE, Alhazzani W, et al. Surviving Sepsis Campaign: international guidelines for management of sepsis and septic shock: 2016. Intensive Care Med. 2017;43:304-377. doi: 10.1007/s00134-017-4683-6
PRACTICE CHANGER
For patients hospitalized with sepsis, consider procalcitonin (PCT)-guided early discontinuation of antibiotic therapy for fewer infection-associated adverse events (AEs).
STRENGTH OF RECOMMENDATION
Kyriazopoulou E, Liaskou-Antoniou L, Adamis G, et al. Procalcitonin to reduce long-term infection-associated adverse events in sepsis. A randomized trial. Am J Respir Crit Care Med. 2021;203:202-210. doi: 10.1164/rccm.202004-1201OC
Does regular walking improve lipid levels in adults?
Evidence summary
Walking’s impact on cholesterol levels is modest, inconsistent
A 2022 systematic review and meta-analysis of 21 studies (n = 1129) evaluated the effects of walking on lipids and lipoproteins in women older than 18 years who were overweight or obese and were not taking any lipid-lowering medications. Median TC was 206 mg/dL and median LDL was 126 mg/dL.1
The primary outcome found that walking decreased TC and LDL levels independent of diet and weight loss. Twenty studies reported on TC and showed that walking significantly decreased TC levels compared to the control groups (raw mean difference [RMD] = 6.7 mg/dL; 95% CI, 0.4-12.9; P = .04). Fifteen studies examined LDL and showed a significant decrease in LDL levels with walking compared to control groups (RMD = 7.4 mg/dL; 95% CI, 0.3-14.5; P = .04). However, the small magnitude of the changes may have little clinical impact.1
There were no significant changes in the walking groups compared to the control groups for triglycerides (17 studies; RMD = 2.2 mg/dL; 95% CI, –8.4 to 12.8; P = .68) or high-density lipoprotein (HDL) (18 studies; RMD = 1.5 mg/dL; 95% CI, –0.4 to 3.3; P = .12). Included studies were required to be controlled but were otherwise not described. The overall risk for bias was determined to be low.1
A 2020 RCT (n = 22) assessed the effects of a walking intervention on cholesterol and cardiovascular disease (CVD) risk in individuals ages 40 to 65 years with moderate CVD risk but without diabetes or CVD.2 Moderate CVD risk was defined as a 2% to 5% 10-year risk for a CVD event using the European HeartScore, which incorporates age, sex, blood pressure, lipid levels, and smoking status3; however, study participants were not required to have hyperlipidemia. Participants were enrolled in a 12-week, nurse-led intervention of moderate-paced walking for 30 to 45 minutes 5 times weekly.
Individuals in the intervention group had significant decreases in average TC levels from baseline to follow-up (244.6 mg/dL vs 213.7 mg/dL; P = .001). As a result, participants’ average 10-year CVD risk was significantly reduced from moderate risk to low risk (2.6% vs 1.8%; P = 038) and was significantly lower in the intervention group than in the control group at follow-up (1.8% vs 3.1%; P = .019). No blinding was used, and the use of lipid-lowering medications was not reported, which could have impacted the results.2
A 2008 RCT (n = 67) examined the effect of a home-based walking program (12 weeks of brisk walking, at least 30 min/d and at least 5 d/wk, with at least 300 kcal burned per walk) vs a sedentary control group in men ages 45 to 65 years with hyperlipidemia (TC > 240 mg/dL and/or TC/HDL-C ratio ≥ 6) who were not receiving lipid-lowering medication. There were no significant changes from baseline to follow-up in the walking group compared to the control group in TC (adjusted mean difference [AMD] = –9.3 mg/dL; 95% CI, –22.8 to 4.64; P = .19), HDL-C (AMD = 2.7 mg/dL; 95% CI, –0.4 to 5.4; P = .07) or triglycerides (AMD = –26.6 mg/dL; 95% CI, –56.7 to 2.7; P = .07).4
A 2002 RCT (n = 111) of sedentary men and women (BMI, 25-35; ages, 40-65 years) with dyslipidemia (LDL of 130-190 mg/dL, or HDL < 40 mg/dL for men or < 45 mg/dL for women) examined the impact of various physical activity levels for 8 months when compared to a control group observed for 6 months. The group assigned to low-amount, moderate-intensity physical activity walked an equivalent of 12 miles per week.5
Continue to: In this group...
In this group, there was a significant decrease in average triglyceride concentrations from baseline to follow-up (mean ± standard error = 196.8 ± 30.5 mg/dL vs 145.2 ± 16.0 mg/dL; P < .001). Significance of the change compared with changes in the control group was not reported, although triglycerides in the control group increased from baseline to follow-up (132.1 ± 11.0 vs 155.8 ± 14.9 mg/dL). There were no significant changes from baseline to follow-up in TC (194 ± 4.8 vs 197.9 ± 5.4 mg/dL), LDL (122.7 ± 4.0 vs 127.8 ± 4.1 mg/dL), or HDL (42.0 ± 1.9 vs 43.1 ± 2.5 mg/dL); P values of pre-post changes and comparison to control group were not reported.5
Recommendations from others
The Physical Activity Guidelines for Americans, published by the Department of Health and Human Services and updated in 2018, cite adherence to the published guidelines as a protective factor against high LDL and total lipids in both adults and children.6 The guidelines for adults recommend 150 to 300 minutes of moderate-intensity or 75 to 150 minutes of vigorous-intensity aerobic exercise per week, as well as muscle-strengthening activities of moderate or greater intensity 2 or more days per week. Brisk walking is included as an example of a moderate-intensity activity. These same guidelines are cited and endorsed by the American College of Sports Medicine and the American Heart Association.7,8
Editor’s takeaway
The lipid reductions achieved from walking—if any—are minimal. By themselves, these small reductions will not accomplish our lipid-lowering goals. However, cholesterol goals are primarily disease oriented. This evidence does not directly inform us of important patient-oriented outcomes, such as morbidity, mortality, and vitality.
1. Ballard AM, Davis A, Wong B, et al. The effects of exclusive walking on lipids and lipoproteins in women with overweight and obesity: a systematic review and meta-analysis. Am J Health Promot. 2022;36:328-339. doi: 10.1177/08901171211048135
2. Akgöz AD, Gözüm S. Effectiveness of a nurse-led physical activity intervention to decrease cardiovascular disease risk in middle-aged adults: a pilot randomized controlled study. J Vasc Nurs. 2020;38:140-148. doi: 10.1016/j.jvn.2020.05.002
3. European Association of Preventive Cardiology. HeartScore. Accessed December 23, 2022. www.heartscore.org/en_GB
4. Coghill N, Cooper AR. The effect of a home-based walking program on risk factors for coronary heart disease in hypercholesterolaemic men: a randomized controlled trial. Prev Med. 2008; 46:545-551. doi: 10.1016/j.ypmed.2008.01.002
5. Kraus WE, Houmard JA, Duscha BD, et al. Effects of the amount and intensity of exercise on plasma lipoproteins. N Engl J Med. 2002;347:1483-1492. doi: 10.1056/NEJMoa020194
6. US Department of Health and Human Services. Physical Activity Guidelines for Americans, 2nd edition. Washington, DC: US Department of Health and Human Services; 2018. Accessed December 23, 2022. https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf
7. American Heart Association. Recommendations for physical activity in adults and kids. Accessed December 23, 2022. www.heart.org/en/healthy-living/fitness/fitness-basics/aha-recs-for-physical-activity-in-adults
8. American College of Sports Medicine. Trending topic: physical activity guidelines. Accessed December 23, 2022. www.acsm.org/education-resources/trending-topics-resources/physical-activity-guidelines
Evidence summary
Walking’s impact on cholesterol levels is modest, inconsistent
A 2022 systematic review and meta-analysis of 21 studies (n = 1129) evaluated the effects of walking on lipids and lipoproteins in women older than 18 years who were overweight or obese and were not taking any lipid-lowering medications. Median TC was 206 mg/dL and median LDL was 126 mg/dL.1
The primary outcome found that walking decreased TC and LDL levels independent of diet and weight loss. Twenty studies reported on TC and showed that walking significantly decreased TC levels compared to the control groups (raw mean difference [RMD] = 6.7 mg/dL; 95% CI, 0.4-12.9; P = .04). Fifteen studies examined LDL and showed a significant decrease in LDL levels with walking compared to control groups (RMD = 7.4 mg/dL; 95% CI, 0.3-14.5; P = .04). However, the small magnitude of the changes may have little clinical impact.1
There were no significant changes in the walking groups compared to the control groups for triglycerides (17 studies; RMD = 2.2 mg/dL; 95% CI, –8.4 to 12.8; P = .68) or high-density lipoprotein (HDL) (18 studies; RMD = 1.5 mg/dL; 95% CI, –0.4 to 3.3; P = .12). Included studies were required to be controlled but were otherwise not described. The overall risk for bias was determined to be low.1
A 2020 RCT (n = 22) assessed the effects of a walking intervention on cholesterol and cardiovascular disease (CVD) risk in individuals ages 40 to 65 years with moderate CVD risk but without diabetes or CVD.2 Moderate CVD risk was defined as a 2% to 5% 10-year risk for a CVD event using the European HeartScore, which incorporates age, sex, blood pressure, lipid levels, and smoking status3; however, study participants were not required to have hyperlipidemia. Participants were enrolled in a 12-week, nurse-led intervention of moderate-paced walking for 30 to 45 minutes 5 times weekly.
Individuals in the intervention group had significant decreases in average TC levels from baseline to follow-up (244.6 mg/dL vs 213.7 mg/dL; P = .001). As a result, participants’ average 10-year CVD risk was significantly reduced from moderate risk to low risk (2.6% vs 1.8%; P = 038) and was significantly lower in the intervention group than in the control group at follow-up (1.8% vs 3.1%; P = .019). No blinding was used, and the use of lipid-lowering medications was not reported, which could have impacted the results.2
A 2008 RCT (n = 67) examined the effect of a home-based walking program (12 weeks of brisk walking, at least 30 min/d and at least 5 d/wk, with at least 300 kcal burned per walk) vs a sedentary control group in men ages 45 to 65 years with hyperlipidemia (TC > 240 mg/dL and/or TC/HDL-C ratio ≥ 6) who were not receiving lipid-lowering medication. There were no significant changes from baseline to follow-up in the walking group compared to the control group in TC (adjusted mean difference [AMD] = –9.3 mg/dL; 95% CI, –22.8 to 4.64; P = .19), HDL-C (AMD = 2.7 mg/dL; 95% CI, –0.4 to 5.4; P = .07) or triglycerides (AMD = –26.6 mg/dL; 95% CI, –56.7 to 2.7; P = .07).4
A 2002 RCT (n = 111) of sedentary men and women (BMI, 25-35; ages, 40-65 years) with dyslipidemia (LDL of 130-190 mg/dL, or HDL < 40 mg/dL for men or < 45 mg/dL for women) examined the impact of various physical activity levels for 8 months when compared to a control group observed for 6 months. The group assigned to low-amount, moderate-intensity physical activity walked an equivalent of 12 miles per week.5
Continue to: In this group...
In this group, there was a significant decrease in average triglyceride concentrations from baseline to follow-up (mean ± standard error = 196.8 ± 30.5 mg/dL vs 145.2 ± 16.0 mg/dL; P < .001). Significance of the change compared with changes in the control group was not reported, although triglycerides in the control group increased from baseline to follow-up (132.1 ± 11.0 vs 155.8 ± 14.9 mg/dL). There were no significant changes from baseline to follow-up in TC (194 ± 4.8 vs 197.9 ± 5.4 mg/dL), LDL (122.7 ± 4.0 vs 127.8 ± 4.1 mg/dL), or HDL (42.0 ± 1.9 vs 43.1 ± 2.5 mg/dL); P values of pre-post changes and comparison to control group were not reported.5
Recommendations from others
The Physical Activity Guidelines for Americans, published by the Department of Health and Human Services and updated in 2018, cite adherence to the published guidelines as a protective factor against high LDL and total lipids in both adults and children.6 The guidelines for adults recommend 150 to 300 minutes of moderate-intensity or 75 to 150 minutes of vigorous-intensity aerobic exercise per week, as well as muscle-strengthening activities of moderate or greater intensity 2 or more days per week. Brisk walking is included as an example of a moderate-intensity activity. These same guidelines are cited and endorsed by the American College of Sports Medicine and the American Heart Association.7,8
Editor’s takeaway
The lipid reductions achieved from walking—if any—are minimal. By themselves, these small reductions will not accomplish our lipid-lowering goals. However, cholesterol goals are primarily disease oriented. This evidence does not directly inform us of important patient-oriented outcomes, such as morbidity, mortality, and vitality.
Evidence summary
Walking’s impact on cholesterol levels is modest, inconsistent
A 2022 systematic review and meta-analysis of 21 studies (n = 1129) evaluated the effects of walking on lipids and lipoproteins in women older than 18 years who were overweight or obese and were not taking any lipid-lowering medications. Median TC was 206 mg/dL and median LDL was 126 mg/dL.1
The primary outcome found that walking decreased TC and LDL levels independent of diet and weight loss. Twenty studies reported on TC and showed that walking significantly decreased TC levels compared to the control groups (raw mean difference [RMD] = 6.7 mg/dL; 95% CI, 0.4-12.9; P = .04). Fifteen studies examined LDL and showed a significant decrease in LDL levels with walking compared to control groups (RMD = 7.4 mg/dL; 95% CI, 0.3-14.5; P = .04). However, the small magnitude of the changes may have little clinical impact.1
There were no significant changes in the walking groups compared to the control groups for triglycerides (17 studies; RMD = 2.2 mg/dL; 95% CI, –8.4 to 12.8; P = .68) or high-density lipoprotein (HDL) (18 studies; RMD = 1.5 mg/dL; 95% CI, –0.4 to 3.3; P = .12). Included studies were required to be controlled but were otherwise not described. The overall risk for bias was determined to be low.1
A 2020 RCT (n = 22) assessed the effects of a walking intervention on cholesterol and cardiovascular disease (CVD) risk in individuals ages 40 to 65 years with moderate CVD risk but without diabetes or CVD.2 Moderate CVD risk was defined as a 2% to 5% 10-year risk for a CVD event using the European HeartScore, which incorporates age, sex, blood pressure, lipid levels, and smoking status3; however, study participants were not required to have hyperlipidemia. Participants were enrolled in a 12-week, nurse-led intervention of moderate-paced walking for 30 to 45 minutes 5 times weekly.
Individuals in the intervention group had significant decreases in average TC levels from baseline to follow-up (244.6 mg/dL vs 213.7 mg/dL; P = .001). As a result, participants’ average 10-year CVD risk was significantly reduced from moderate risk to low risk (2.6% vs 1.8%; P = 038) and was significantly lower in the intervention group than in the control group at follow-up (1.8% vs 3.1%; P = .019). No blinding was used, and the use of lipid-lowering medications was not reported, which could have impacted the results.2
A 2008 RCT (n = 67) examined the effect of a home-based walking program (12 weeks of brisk walking, at least 30 min/d and at least 5 d/wk, with at least 300 kcal burned per walk) vs a sedentary control group in men ages 45 to 65 years with hyperlipidemia (TC > 240 mg/dL and/or TC/HDL-C ratio ≥ 6) who were not receiving lipid-lowering medication. There were no significant changes from baseline to follow-up in the walking group compared to the control group in TC (adjusted mean difference [AMD] = –9.3 mg/dL; 95% CI, –22.8 to 4.64; P = .19), HDL-C (AMD = 2.7 mg/dL; 95% CI, –0.4 to 5.4; P = .07) or triglycerides (AMD = –26.6 mg/dL; 95% CI, –56.7 to 2.7; P = .07).4
A 2002 RCT (n = 111) of sedentary men and women (BMI, 25-35; ages, 40-65 years) with dyslipidemia (LDL of 130-190 mg/dL, or HDL < 40 mg/dL for men or < 45 mg/dL for women) examined the impact of various physical activity levels for 8 months when compared to a control group observed for 6 months. The group assigned to low-amount, moderate-intensity physical activity walked an equivalent of 12 miles per week.5
Continue to: In this group...
In this group, there was a significant decrease in average triglyceride concentrations from baseline to follow-up (mean ± standard error = 196.8 ± 30.5 mg/dL vs 145.2 ± 16.0 mg/dL; P < .001). Significance of the change compared with changes in the control group was not reported, although triglycerides in the control group increased from baseline to follow-up (132.1 ± 11.0 vs 155.8 ± 14.9 mg/dL). There were no significant changes from baseline to follow-up in TC (194 ± 4.8 vs 197.9 ± 5.4 mg/dL), LDL (122.7 ± 4.0 vs 127.8 ± 4.1 mg/dL), or HDL (42.0 ± 1.9 vs 43.1 ± 2.5 mg/dL); P values of pre-post changes and comparison to control group were not reported.5
Recommendations from others
The Physical Activity Guidelines for Americans, published by the Department of Health and Human Services and updated in 2018, cite adherence to the published guidelines as a protective factor against high LDL and total lipids in both adults and children.6 The guidelines for adults recommend 150 to 300 minutes of moderate-intensity or 75 to 150 minutes of vigorous-intensity aerobic exercise per week, as well as muscle-strengthening activities of moderate or greater intensity 2 or more days per week. Brisk walking is included as an example of a moderate-intensity activity. These same guidelines are cited and endorsed by the American College of Sports Medicine and the American Heart Association.7,8
Editor’s takeaway
The lipid reductions achieved from walking—if any—are minimal. By themselves, these small reductions will not accomplish our lipid-lowering goals. However, cholesterol goals are primarily disease oriented. This evidence does not directly inform us of important patient-oriented outcomes, such as morbidity, mortality, and vitality.
1. Ballard AM, Davis A, Wong B, et al. The effects of exclusive walking on lipids and lipoproteins in women with overweight and obesity: a systematic review and meta-analysis. Am J Health Promot. 2022;36:328-339. doi: 10.1177/08901171211048135
2. Akgöz AD, Gözüm S. Effectiveness of a nurse-led physical activity intervention to decrease cardiovascular disease risk in middle-aged adults: a pilot randomized controlled study. J Vasc Nurs. 2020;38:140-148. doi: 10.1016/j.jvn.2020.05.002
3. European Association of Preventive Cardiology. HeartScore. Accessed December 23, 2022. www.heartscore.org/en_GB
4. Coghill N, Cooper AR. The effect of a home-based walking program on risk factors for coronary heart disease in hypercholesterolaemic men: a randomized controlled trial. Prev Med. 2008; 46:545-551. doi: 10.1016/j.ypmed.2008.01.002
5. Kraus WE, Houmard JA, Duscha BD, et al. Effects of the amount and intensity of exercise on plasma lipoproteins. N Engl J Med. 2002;347:1483-1492. doi: 10.1056/NEJMoa020194
6. US Department of Health and Human Services. Physical Activity Guidelines for Americans, 2nd edition. Washington, DC: US Department of Health and Human Services; 2018. Accessed December 23, 2022. https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf
7. American Heart Association. Recommendations for physical activity in adults and kids. Accessed December 23, 2022. www.heart.org/en/healthy-living/fitness/fitness-basics/aha-recs-for-physical-activity-in-adults
8. American College of Sports Medicine. Trending topic: physical activity guidelines. Accessed December 23, 2022. www.acsm.org/education-resources/trending-topics-resources/physical-activity-guidelines
1. Ballard AM, Davis A, Wong B, et al. The effects of exclusive walking on lipids and lipoproteins in women with overweight and obesity: a systematic review and meta-analysis. Am J Health Promot. 2022;36:328-339. doi: 10.1177/08901171211048135
2. Akgöz AD, Gözüm S. Effectiveness of a nurse-led physical activity intervention to decrease cardiovascular disease risk in middle-aged adults: a pilot randomized controlled study. J Vasc Nurs. 2020;38:140-148. doi: 10.1016/j.jvn.2020.05.002
3. European Association of Preventive Cardiology. HeartScore. Accessed December 23, 2022. www.heartscore.org/en_GB
4. Coghill N, Cooper AR. The effect of a home-based walking program on risk factors for coronary heart disease in hypercholesterolaemic men: a randomized controlled trial. Prev Med. 2008; 46:545-551. doi: 10.1016/j.ypmed.2008.01.002
5. Kraus WE, Houmard JA, Duscha BD, et al. Effects of the amount and intensity of exercise on plasma lipoproteins. N Engl J Med. 2002;347:1483-1492. doi: 10.1056/NEJMoa020194
6. US Department of Health and Human Services. Physical Activity Guidelines for Americans, 2nd edition. Washington, DC: US Department of Health and Human Services; 2018. Accessed December 23, 2022. https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf
7. American Heart Association. Recommendations for physical activity in adults and kids. Accessed December 23, 2022. www.heart.org/en/healthy-living/fitness/fitness-basics/aha-recs-for-physical-activity-in-adults
8. American College of Sports Medicine. Trending topic: physical activity guidelines. Accessed December 23, 2022. www.acsm.org/education-resources/trending-topics-resources/physical-activity-guidelines
EVIDENCE-BASED ANSWER:
Minimally. Regular moderate- intensity walking for a period of 4 or more weeks minimally decreased total cholesterol (TC) and low-density lipoprotein (LDL) levels by about 7 mg/dL in women with overweight or obesity (strength of recommendation [SOR]: C, systematic review and meta-analysis on disease-oriented evidence). For adults ages 40 to 65 years, regular walking for 3 or more months inconsistently affected cholesterol and triglyceride levels (SOR: C, based on 3 randomized controlled trials [RCTs] with disease-oriented evidence).
Infant with red eyelid lesion
A 4-MONTH-OLD HISPANIC INFANT was brought to her pediatrician by her parents for evaluation of a dark red lesion over her right eyelid. The mother said that the lesion appeared when the child was 4 weeks old and started as a small red dot. As the baby grew, so did the red dot. The mother said the lesion appeared redder and darker when the baby got fussy and cried. The mother noted that some of the child’s eyelashes on the affected eyelid had fallen out. The infant was still able to use her eyes to follow the movements of her parents and siblings.
The mother denied any complications during pregnancy and delivered the child vaginally. No one else in the family had a similar lesion. When asked, the mother said that when her daughter was born, she was missing hair on her scalp and had dark spots on her lower backside. The mother had taken the baby to all wellness checks. The child was up to date on her vaccines, had no known drug allergies, and was otherwise healthy.
The pediatrician referred the baby to our skin clinic for further evaluation and treatment of the right eyelid lesion. Skin examination showed a 2.1-cm focal/localized, vascular, violaceous/dark red plaque over the right upper eyelid with an irregular border causing mild drooping of the right eyelid and some missing eyelashes (FIGURE 1). Multiple hyperpigmented patches on the upper and lower back were clinically consistent with Mongolian spots. Hair thinning was observed on the posterior and left posterior scalp.
WHAT IS YOUR DIAGNOSIS?
HOW WOULD YOU TREAT THIS PATIENT?
Diagnosis: Infantile hemangioma
The diagnosis of an infantile hemangioma was made clinically, based on the lesion’s appearance and when it became noticeable (during the child’s first few weeks of life).
Infantile hemangiomas are the most common benign tumors of infancy, and the majority are not present at birth.1,2 Infantile periocular hemangioma, which our patient had, is typically unilateral and involves the upper eyelid.1 Infantile hemangiomas appear in the first few weeks of life with an area of pallor and later a faint red patch, which the mother first noted in our patient. Lesions grow rapidly in the first 3 to 6 months.2 Superficial lesions appear as bright red papules or patches that may have a flat or rough surface and are sharply demarcated, while deep lesions tend to be bluish and dome shaped.1,2
Infantile hemangiomas continue to grow until 9 to 12 months of age, at which time the growth rate slows to parallel the growth of the child. Involution typically begins by the time the child is 1 year old. Most infantile hemangiomas do not improve significantly after 3.5 years of age.3
Differential includes congenital hemangiomas, pyogenic granulomas
Clinical presentation, histology, and lesion evolution distinguish infantile hemangioma from other diagnoses, notably the following:
Congenital hemangiomas (CH) are fully formed vascular tumors present at birth; they occur less frequently than infantile hemangiomas. CHs are divided into 2 categories: rapidly involuting CHs and noninvoluting CHs.4
Continue to: Pyogenic granulomas
Pyogenic granulomas are usually small (< 1 cm), sessile or pedunculated red papules or nodules. They are friable, bleed easily, and grow rapidly.
Capillary malformations can manifest at birth as flat, red/purple, cutaneous patches with irregular borders that are painless and can spontaneously bleed; they can be found in any part of the body but mainly occur in the cervicofacial area.5 Capillary malformations are commonly known as stork bites on the nape of the neck or angel kisses if found on the forehead. Lateral lesions, known as port wine stains, persist and do not resolve without treatment.5
Tufted angioma and kaposiform hemangioendothelioma manifest as expanding ecchymotic firm masses with purpura and accompanying lymphedema.4 Magnetic resonance imaging, including magnetic resonance angiography, is recommended for management and treatment.4
Venous malformations can be noted at birth as a dark blue or purple discoloration and manifest as a deep mass.5 Venous malformations grow with the patient and have a rapid growth phase during puberty, pregnancy, or traumatic injury.5
Arteriovenous malformations (AVMs) may be present at birth as a slight blush hypervascular lesion. AVMs can be quiescent for many years and grow with the patient. AVMs have a palpable warmth, pulse, or thrill due to high vascular flow.5
Continue to: Individualize treatment when it's needed
Individualize treatment when it’s needed
The majority of infantile hemangiomas do not require treatment because they can resolve spontaneously over time.2 That said, children with periocular infantile hemangiomas may require treatment because the lesions may result in amblyopia and visual impairment if not properly treated.6 Treatment should be individualized, depending on the size, rate of growth, morphology, number, and location of the lesions; existing or potential complications; benefits and adverse events associated with the treatment; age of the patient; level of parental concern; and the physician’s comfort level with the various treatment options.
Predictive factors for ocular complications in patients with periocular infantile hemangiomas are diameter > 1 cm, a deep component, and upper eyelid involvement. Patients at risk for ocular complications should be promptly referred to an ophthalmologist, and treatment should be strongly considered.6 Currently, oral propranolol is the treatment of choice for high-risk and complicated infantile hemangiomas.2 This is a very safe treatment. Only rarely do the following adverse effects occur: bronchospasm, bradycardia, hypotension, nightmares, cold hands, and hypoglycemia. If these adverse effects do occur, they are reversible with discontinuation of propranolol. Hypoglycemia can be prevented by giving propranolol during or right after feeding.
Our patient was started on propranolol 1 mg/kg/d for 1 month. The medication was administered by syringe for precise measurement. After the initial dose was tolerated, this was increased to 2 mg/kg/d for 1 month, then continued sequentially another month on 2.5 mg/kg/d, 2 months on 3 mg/kg/d, and finally 2 months on 3.4 mg/kg/d. All doses were divided twice per day between feedings.
After 7 months of total treatment time (FIGURE 2), we began titrating down the patient’s dose over the next several months. After 3 months, treatment was stopped altogether. At the time treatment was completed, only a faint pink blush remained.
1. Tavakoli M, Yadegari S, Mosallaei M, et al. Infantile periocular hemangioma. J Ophthalmic Vis Res. 2017;12:205-211. doi: 10.4103/jovr.jovr_66_17
2. Leung AKC, Lam JM, Leong KF, et al. Infantile hemangioma: an updated review. Curr Pediatr Rev. 2021;17:55-69. doi: 10.2174/1573396316666200508100038
3. Couto RA, Maclellan RA, Zurakowski D, et al. Infantile hemangioma: clinical assessment of the involuting phase and implications for management. Plast Reconstr Surg. 2012;130:619-624. doi: 10.1097/PRS.0b013e31825dc129
4. Wildgruber M, Sadick M, Müller-Wille R, et al. Vascular tumors in infants and adolescents. Insights Imaging. 2019;10:30. doi: 10.1186/s13244-019-0718-6
5. Richter GT, Friedman AB. Hemangiomas and vascular malformations: current theory and management. Int J Pediatr. 2012;2012:645678. doi: 10.1155/2012/645678
6. Samuelov L, Kinori M, Rychlik K, et al. Risk factors for ocular complications in periocular infantile hemangiomas. Pediatr Dermatol. 2018;35:458-462. doi: 10.1111/pde.13525
A 4-MONTH-OLD HISPANIC INFANT was brought to her pediatrician by her parents for evaluation of a dark red lesion over her right eyelid. The mother said that the lesion appeared when the child was 4 weeks old and started as a small red dot. As the baby grew, so did the red dot. The mother said the lesion appeared redder and darker when the baby got fussy and cried. The mother noted that some of the child’s eyelashes on the affected eyelid had fallen out. The infant was still able to use her eyes to follow the movements of her parents and siblings.
The mother denied any complications during pregnancy and delivered the child vaginally. No one else in the family had a similar lesion. When asked, the mother said that when her daughter was born, she was missing hair on her scalp and had dark spots on her lower backside. The mother had taken the baby to all wellness checks. The child was up to date on her vaccines, had no known drug allergies, and was otherwise healthy.
The pediatrician referred the baby to our skin clinic for further evaluation and treatment of the right eyelid lesion. Skin examination showed a 2.1-cm focal/localized, vascular, violaceous/dark red plaque over the right upper eyelid with an irregular border causing mild drooping of the right eyelid and some missing eyelashes (FIGURE 1). Multiple hyperpigmented patches on the upper and lower back were clinically consistent with Mongolian spots. Hair thinning was observed on the posterior and left posterior scalp.
WHAT IS YOUR DIAGNOSIS?
HOW WOULD YOU TREAT THIS PATIENT?
Diagnosis: Infantile hemangioma
The diagnosis of an infantile hemangioma was made clinically, based on the lesion’s appearance and when it became noticeable (during the child’s first few weeks of life).
Infantile hemangiomas are the most common benign tumors of infancy, and the majority are not present at birth.1,2 Infantile periocular hemangioma, which our patient had, is typically unilateral and involves the upper eyelid.1 Infantile hemangiomas appear in the first few weeks of life with an area of pallor and later a faint red patch, which the mother first noted in our patient. Lesions grow rapidly in the first 3 to 6 months.2 Superficial lesions appear as bright red papules or patches that may have a flat or rough surface and are sharply demarcated, while deep lesions tend to be bluish and dome shaped.1,2
Infantile hemangiomas continue to grow until 9 to 12 months of age, at which time the growth rate slows to parallel the growth of the child. Involution typically begins by the time the child is 1 year old. Most infantile hemangiomas do not improve significantly after 3.5 years of age.3
Differential includes congenital hemangiomas, pyogenic granulomas
Clinical presentation, histology, and lesion evolution distinguish infantile hemangioma from other diagnoses, notably the following:
Congenital hemangiomas (CH) are fully formed vascular tumors present at birth; they occur less frequently than infantile hemangiomas. CHs are divided into 2 categories: rapidly involuting CHs and noninvoluting CHs.4
Continue to: Pyogenic granulomas
Pyogenic granulomas are usually small (< 1 cm), sessile or pedunculated red papules or nodules. They are friable, bleed easily, and grow rapidly.
Capillary malformations can manifest at birth as flat, red/purple, cutaneous patches with irregular borders that are painless and can spontaneously bleed; they can be found in any part of the body but mainly occur in the cervicofacial area.5 Capillary malformations are commonly known as stork bites on the nape of the neck or angel kisses if found on the forehead. Lateral lesions, known as port wine stains, persist and do not resolve without treatment.5
Tufted angioma and kaposiform hemangioendothelioma manifest as expanding ecchymotic firm masses with purpura and accompanying lymphedema.4 Magnetic resonance imaging, including magnetic resonance angiography, is recommended for management and treatment.4
Venous malformations can be noted at birth as a dark blue or purple discoloration and manifest as a deep mass.5 Venous malformations grow with the patient and have a rapid growth phase during puberty, pregnancy, or traumatic injury.5
Arteriovenous malformations (AVMs) may be present at birth as a slight blush hypervascular lesion. AVMs can be quiescent for many years and grow with the patient. AVMs have a palpable warmth, pulse, or thrill due to high vascular flow.5
Continue to: Individualize treatment when it's needed
Individualize treatment when it’s needed
The majority of infantile hemangiomas do not require treatment because they can resolve spontaneously over time.2 That said, children with periocular infantile hemangiomas may require treatment because the lesions may result in amblyopia and visual impairment if not properly treated.6 Treatment should be individualized, depending on the size, rate of growth, morphology, number, and location of the lesions; existing or potential complications; benefits and adverse events associated with the treatment; age of the patient; level of parental concern; and the physician’s comfort level with the various treatment options.
Predictive factors for ocular complications in patients with periocular infantile hemangiomas are diameter > 1 cm, a deep component, and upper eyelid involvement. Patients at risk for ocular complications should be promptly referred to an ophthalmologist, and treatment should be strongly considered.6 Currently, oral propranolol is the treatment of choice for high-risk and complicated infantile hemangiomas.2 This is a very safe treatment. Only rarely do the following adverse effects occur: bronchospasm, bradycardia, hypotension, nightmares, cold hands, and hypoglycemia. If these adverse effects do occur, they are reversible with discontinuation of propranolol. Hypoglycemia can be prevented by giving propranolol during or right after feeding.
Our patient was started on propranolol 1 mg/kg/d for 1 month. The medication was administered by syringe for precise measurement. After the initial dose was tolerated, this was increased to 2 mg/kg/d for 1 month, then continued sequentially another month on 2.5 mg/kg/d, 2 months on 3 mg/kg/d, and finally 2 months on 3.4 mg/kg/d. All doses were divided twice per day between feedings.
After 7 months of total treatment time (FIGURE 2), we began titrating down the patient’s dose over the next several months. After 3 months, treatment was stopped altogether. At the time treatment was completed, only a faint pink blush remained.
A 4-MONTH-OLD HISPANIC INFANT was brought to her pediatrician by her parents for evaluation of a dark red lesion over her right eyelid. The mother said that the lesion appeared when the child was 4 weeks old and started as a small red dot. As the baby grew, so did the red dot. The mother said the lesion appeared redder and darker when the baby got fussy and cried. The mother noted that some of the child’s eyelashes on the affected eyelid had fallen out. The infant was still able to use her eyes to follow the movements of her parents and siblings.
The mother denied any complications during pregnancy and delivered the child vaginally. No one else in the family had a similar lesion. When asked, the mother said that when her daughter was born, she was missing hair on her scalp and had dark spots on her lower backside. The mother had taken the baby to all wellness checks. The child was up to date on her vaccines, had no known drug allergies, and was otherwise healthy.
The pediatrician referred the baby to our skin clinic for further evaluation and treatment of the right eyelid lesion. Skin examination showed a 2.1-cm focal/localized, vascular, violaceous/dark red plaque over the right upper eyelid with an irregular border causing mild drooping of the right eyelid and some missing eyelashes (FIGURE 1). Multiple hyperpigmented patches on the upper and lower back were clinically consistent with Mongolian spots. Hair thinning was observed on the posterior and left posterior scalp.
WHAT IS YOUR DIAGNOSIS?
HOW WOULD YOU TREAT THIS PATIENT?
Diagnosis: Infantile hemangioma
The diagnosis of an infantile hemangioma was made clinically, based on the lesion’s appearance and when it became noticeable (during the child’s first few weeks of life).
Infantile hemangiomas are the most common benign tumors of infancy, and the majority are not present at birth.1,2 Infantile periocular hemangioma, which our patient had, is typically unilateral and involves the upper eyelid.1 Infantile hemangiomas appear in the first few weeks of life with an area of pallor and later a faint red patch, which the mother first noted in our patient. Lesions grow rapidly in the first 3 to 6 months.2 Superficial lesions appear as bright red papules or patches that may have a flat or rough surface and are sharply demarcated, while deep lesions tend to be bluish and dome shaped.1,2
Infantile hemangiomas continue to grow until 9 to 12 months of age, at which time the growth rate slows to parallel the growth of the child. Involution typically begins by the time the child is 1 year old. Most infantile hemangiomas do not improve significantly after 3.5 years of age.3
Differential includes congenital hemangiomas, pyogenic granulomas
Clinical presentation, histology, and lesion evolution distinguish infantile hemangioma from other diagnoses, notably the following:
Congenital hemangiomas (CH) are fully formed vascular tumors present at birth; they occur less frequently than infantile hemangiomas. CHs are divided into 2 categories: rapidly involuting CHs and noninvoluting CHs.4
Continue to: Pyogenic granulomas
Pyogenic granulomas are usually small (< 1 cm), sessile or pedunculated red papules or nodules. They are friable, bleed easily, and grow rapidly.
Capillary malformations can manifest at birth as flat, red/purple, cutaneous patches with irregular borders that are painless and can spontaneously bleed; they can be found in any part of the body but mainly occur in the cervicofacial area.5 Capillary malformations are commonly known as stork bites on the nape of the neck or angel kisses if found on the forehead. Lateral lesions, known as port wine stains, persist and do not resolve without treatment.5
Tufted angioma and kaposiform hemangioendothelioma manifest as expanding ecchymotic firm masses with purpura and accompanying lymphedema.4 Magnetic resonance imaging, including magnetic resonance angiography, is recommended for management and treatment.4
Venous malformations can be noted at birth as a dark blue or purple discoloration and manifest as a deep mass.5 Venous malformations grow with the patient and have a rapid growth phase during puberty, pregnancy, or traumatic injury.5
Arteriovenous malformations (AVMs) may be present at birth as a slight blush hypervascular lesion. AVMs can be quiescent for many years and grow with the patient. AVMs have a palpable warmth, pulse, or thrill due to high vascular flow.5
Continue to: Individualize treatment when it's needed
Individualize treatment when it’s needed
The majority of infantile hemangiomas do not require treatment because they can resolve spontaneously over time.2 That said, children with periocular infantile hemangiomas may require treatment because the lesions may result in amblyopia and visual impairment if not properly treated.6 Treatment should be individualized, depending on the size, rate of growth, morphology, number, and location of the lesions; existing or potential complications; benefits and adverse events associated with the treatment; age of the patient; level of parental concern; and the physician’s comfort level with the various treatment options.
Predictive factors for ocular complications in patients with periocular infantile hemangiomas are diameter > 1 cm, a deep component, and upper eyelid involvement. Patients at risk for ocular complications should be promptly referred to an ophthalmologist, and treatment should be strongly considered.6 Currently, oral propranolol is the treatment of choice for high-risk and complicated infantile hemangiomas.2 This is a very safe treatment. Only rarely do the following adverse effects occur: bronchospasm, bradycardia, hypotension, nightmares, cold hands, and hypoglycemia. If these adverse effects do occur, they are reversible with discontinuation of propranolol. Hypoglycemia can be prevented by giving propranolol during or right after feeding.
Our patient was started on propranolol 1 mg/kg/d for 1 month. The medication was administered by syringe for precise measurement. After the initial dose was tolerated, this was increased to 2 mg/kg/d for 1 month, then continued sequentially another month on 2.5 mg/kg/d, 2 months on 3 mg/kg/d, and finally 2 months on 3.4 mg/kg/d. All doses were divided twice per day between feedings.
After 7 months of total treatment time (FIGURE 2), we began titrating down the patient’s dose over the next several months. After 3 months, treatment was stopped altogether. At the time treatment was completed, only a faint pink blush remained.
1. Tavakoli M, Yadegari S, Mosallaei M, et al. Infantile periocular hemangioma. J Ophthalmic Vis Res. 2017;12:205-211. doi: 10.4103/jovr.jovr_66_17
2. Leung AKC, Lam JM, Leong KF, et al. Infantile hemangioma: an updated review. Curr Pediatr Rev. 2021;17:55-69. doi: 10.2174/1573396316666200508100038
3. Couto RA, Maclellan RA, Zurakowski D, et al. Infantile hemangioma: clinical assessment of the involuting phase and implications for management. Plast Reconstr Surg. 2012;130:619-624. doi: 10.1097/PRS.0b013e31825dc129
4. Wildgruber M, Sadick M, Müller-Wille R, et al. Vascular tumors in infants and adolescents. Insights Imaging. 2019;10:30. doi: 10.1186/s13244-019-0718-6
5. Richter GT, Friedman AB. Hemangiomas and vascular malformations: current theory and management. Int J Pediatr. 2012;2012:645678. doi: 10.1155/2012/645678
6. Samuelov L, Kinori M, Rychlik K, et al. Risk factors for ocular complications in periocular infantile hemangiomas. Pediatr Dermatol. 2018;35:458-462. doi: 10.1111/pde.13525
1. Tavakoli M, Yadegari S, Mosallaei M, et al. Infantile periocular hemangioma. J Ophthalmic Vis Res. 2017;12:205-211. doi: 10.4103/jovr.jovr_66_17
2. Leung AKC, Lam JM, Leong KF, et al. Infantile hemangioma: an updated review. Curr Pediatr Rev. 2021;17:55-69. doi: 10.2174/1573396316666200508100038
3. Couto RA, Maclellan RA, Zurakowski D, et al. Infantile hemangioma: clinical assessment of the involuting phase and implications for management. Plast Reconstr Surg. 2012;130:619-624. doi: 10.1097/PRS.0b013e31825dc129
4. Wildgruber M, Sadick M, Müller-Wille R, et al. Vascular tumors in infants and adolescents. Insights Imaging. 2019;10:30. doi: 10.1186/s13244-019-0718-6
5. Richter GT, Friedman AB. Hemangiomas and vascular malformations: current theory and management. Int J Pediatr. 2012;2012:645678. doi: 10.1155/2012/645678
6. Samuelov L, Kinori M, Rychlik K, et al. Risk factors for ocular complications in periocular infantile hemangiomas. Pediatr Dermatol. 2018;35:458-462. doi: 10.1111/pde.13525
Tips and tools to help you manage ADHD in children, adolescents
THE CASE
James B* is a 7-year-old Black child who presented to his primary care physician (PCP) for a well-child visit. During preventive health screening, James’ mother expressed concerns about his behavior, characterizing him as immature, aggressive, destructive, and occasionally self-loathing. She described him as physically uncoordinated, struggling to keep up with his peers in sports, and tiring after 20 minutes of activity. James slept 10 hours nightly but was often restless and snored intermittently. As a second grader, his academic achievement was not progressing, and he had become increasingly inattentive at home and at school. James’ mother offered several examples of his fighting with his siblings, noncompliance with morning routines, and avoidance of learning activities. Additionally, his mother expressed concern that James, as a Black child, might eventually be unfairly labeled as a problem child by his teachers or held back a grade level in school.
Although James did not have a family history of developmental delays or learning disorders, he had not met any milestones on time for gross or fine motor, language, cognitive, and social-emotional skills. James had a history of chronic otitis media, for which pressure equalizer tubes were inserted at age 2 years. He had not had any major physical injuries, psychological trauma, recent life transitions, or adverse childhood events. When asked, James’ mother acknowledged symptoms of maternal depression but alluded to faith-based reasons for not seeking treatment for herself.
James’ physical examination was unremarkable. His height, weight, and vitals were all within normal limits. However, he had some difficulty with verbal articulation and expression and showed signs of a possible vocal tic. Based on James’ presentation, his PCP suspected attention-deficit/hyperactivity disorder (ADHD), as well as neurodevelopmental delays.
The PCP gave James’ mother the Strengths and Difficulties Questionnaire to complete and the Vanderbilt Assessment Scales for her and James’ teacher to fill out independently and return to the clinic. The PCP also instructed James’ mother on how to use a sleep diary to maintain a 1-month log of his sleep patterns and habits. The PCP consulted the integrated behavioral health clinician (IBHC; a clinical social worker embedded in the primary care clinic) and made a warm handoff for the IBHC to further assess James’ maladaptive behaviors and interactions.
●
* The patient’s name has been changed to protect his identity.
James is one of more than 6 million children, ages 3 to 17 years, in the United States who live with ADHD.1,2 ADHD is the most common neurodevelopmental disorder among children, and it affects multiple cognitive and behavioral domains throughout the lifespan.3 Children with ADHD often initially present in primary care settings; thus, PCPs are well positioned to diagnose the disorder and provide longitudinal treatment. This Behavioral Health Consult reviews clinical assessment and practice guidelines, as well as treatment recommendations applicable across different areas of influence—individual, family, community, and systems—for PCPs and IBHCs to use in managing ADHD in children.
ADHD features can vary by age and sex
ADHD is a persistent pattern of inattention or hyperactivity and impulsivity interfering with functioning or development in childhood and functioning later in adulthood. ADHD symptoms manifest prior to age 12 years and must occur in 2 or more settings.4 Symptoms should not be better explained by another psychiatric disorder or occur exclusively during the course of another disorder (TABLE 1).4
The rate of heritability is high, with significant incidence among first-degree relatives.4 Children with ADHD show executive functioning deficits in 1 or more cognitive domains (eg, visuospatial, memory, inhibitions, decision making, and reward regulation).4,5 The prevalence of ADHD nationally is approximately 9.8% (2.2%, ages 3-5 years; 10%, ages 6-11 years; 13.2%, ages 12-17 years) in children and adolescents; worldwide prevalence is 7.2%.1,6 It persists among 2.6% to 6.8% of adults worldwide.7
Research has shown that boys ages 6 to 11 years are significantly more likely than girls to exhibit attention-getting, externalizing behaviors or conduct problems (eg, hyperactivity, impulsivity, disruption, aggression).1,6 On the other hand, girls ages 12 to 17 years tend to display internalized (eg, depressed mood, anxiety, low self-esteem) or inattentive behaviors, which clinicians and educators may assess as less severe and warranting fewer supportive measures.1
The prevalence of ADHD and its associated factors, which evolve through maturation, underscore the importance of persistent, patient-centered, and collaborative PCP and IBHC clinical management.
Continue to: Begin with a screening tool, move to a clinical interview
Begin with a screening tool, move to a clinical interview
When caregivers express concerns about their child’s behavior, focus, mood, learning, and socialization, consider initiating a multimodal evaluation for ADHD.5,8 Embarking on an ADHD assessment can require extended or multiple visits to arrive at the diagnosis, followed by still more visits to confirm a course of care and adjust medications. The integrative care approach described in the patient case and elaborated on later in this article can help facilitate assessment and treatment of ADHD.9
Signs of ADHD may be observed at initial screening using a tool such as the Ages & Stages Questionnaire (https://agesandstages.com/products-pricing/asq3/) to reveal indications of norm deviations or delays commensurate with ADHD.10 However, to substantiate the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision criteria for an accurate diagnosis,4 the American Academy of Pediatrics (AAP) clinical practice guidelines require a thorough clinical interview, administration of a standardized assessment tool, and review of objective reports in conjunction with a physical examination and psychosocial evaluation.6 Standardized measures of psychological, neurocognitive, and academic achievement reported by caregivers and collateral contacts (eg, teachers, counselors, coaches, care providers) are needed to maximize data objectivity and symptom accuracy across settings (TABLE 210-17). Additionally, periodic reassessment is recommended to validate changes in diagnostic subtype and treatment plans due to the chronic and dynamic nature of ADHD.
Consider comorbidities and alternate diagnoses
The diagnostic possibility of ADHD should also prompt consideration of other childhood disorders due to the high potential for comorbidities.4,6 In a 2016 study, approximately 64% of
Various medical disorders may manifest with similar signs or symptoms to ADHD, such as thyroid disorders, seizure disorders, adverse drug effects, anemia, genetic anomalies, and others.6,19
If there are behavioral concerns or developmental delays associated with tall stature for age or pubertal or testicular development anomalies, consult a geneticist and a developmental pediatrician for targeted testing and neurodevelopmental assessment, respectively. For example, ADHD is a common comorbidity among boys who also have XYY syndrome (Jacobs syndrome). However, due to the variability of symptoms and severity, XYY syndrome often goes undiagnosed, leaving a host of compounding pervasive and developmental problems untreated. Overall, more than two-thirds of patients with ADHD and a co-occurring condition are either inaccurately diagnosed or not referred for additional assessment and adjunct treatment.21
Continue to: Risks that arise over time
Risks that arise over time. As ADHD persists, adolescents are at greater risk for psychiatric comorbidities, suicidality, and functional impairments (eg, risky behaviors, occupational problems, truancy, delinquency, and poor self-esteem).4,8 Adolescents with internalized behaviors are more likely to experience comorbid depressive disorders with increased risk for self-harm.4,5,8 As adolescents age and their sense of autonomy increases, there is a tendency among those who have received a diagnosis of ADHD to minimize symptoms and decrease the frequency of routine clinic visits along with medication use and treatment compliance.3 Additionally, abuse, misuse, and misappropriation of stimulants among teens and young adults are commonplace.
Wide-scope, multidisciplinary evaluation and close clinical management reduce the potential for imprecise diagnoses, particularly at critical developmental junctures. AAP suggests that PCPs can treat mild and moderate cases of ADHD, but if the treating clinician does not have adequate training, experience, time, or clinical support to manage this condition, early referral is warranted.6
A guide to pharmacotherapy
Approximately 77% of children ages 2 to 17 years with a diagnosis of ADHD receive any form of treatment.2 Treatment for ADHD can include behavioral therapy and medication.2 AAP clinical practice guidelines caution against prescribing medications for children younger than 6 years, relying instead on caregiver-, teacher-, or clinician-administered behavioral strategies and parental training in behavioral modification. For children and adolescents between ages 6 and 18 years, first-line treatment includes pharmacotherapy balanced with behavioral therapy, academic modifications, and educational supports (eg, 504 Plan, individualized education plan [IEP]).6
Psychostimulants are preferred. These agents (eg, methylphenidate, amphetamine) remain the most efficacious class of medications to reduce hyperactivity and inattentiveness and to improve function. While long-acting psychostimulants are associated with better medication adherence and adverse-effect tolerance than are short-acting forms, the latter offer more flexibility in dosing. Start by titrating any stimulant to the lowest effective dose; reassess monthly until potential rebound effects stabilize.
Due to potential adverse effects of this class of medication, screen for any family history or personal risk for structural or electrical cardiac anomalies before starting pharmacotherapy. If any such risks exist, arrange for further cardiac evaluation before initiating medication.6 Adverse effects of stimulants include reduced appetite, gastrointestinal symptoms, headaches, anxiousness, parasomnia, tachycardia, and hypertension.
Continue to: Once medication is stabilized...
Once medication is stabilized, monitor treatment 2 to 3 times per year thereafter; watch for longer-term adverse effects such as weight loss, decreased growth rate, and psychiatric comorbidities including the Food and Drug Administration (FDA)’s black box warning of increased risk for suicidality.5,6,22
Other options. The optimal duration of psychostimulant use remains debatable, as existing evidence does not support its long-term use (10 years) over other interventions, such as nonstimulants and nonmedicinal therapies.22 Although backed by less evidence, additional medications indicated for the treatment of ADHD include: (1) atomoxetine, a selective norepinephrine reuptake inhibitor, and (2) the selective alpha-2 adrenergic agonists, extended-release guanfacine and extended-release clonidine (third-line agent).22
Adverse effects of these FDA-approved medications are similar to those observed in stimulant medications. Evaluation of cardiac risks is recommended before starting nonstimulant medications. The alpha-2 adrenergic agonists may also be used as adjunct therapies to stimulants. Before stopping an alpha-2 adrenergic agonist, taper the dosage slowly to avoid the risk for rebound hypertension.6,23 Given the wide variety of medication options and variability of effects, it may be necessary to try different medications as children grow and their symptoms and capacity to manage them change. Additional guidance on FDA-approved medications is available at www.ADHDMedicationGuide.com.
How multilevel care coordination can work
As with other chronic or developmental conditions, the treatment of ADHD requires an interdisciplinary perspective. Continuous, comprehensive case management can help patients overcome obstacles to wellness by balancing the resolution of problems with the development of resilience. Well-documented collaboration of subspecialists, educators, and other stakeholders engaged in ADHD care at multiple levels (individual, family, community, and health care system) increases the likelihood of meaningful, sustainable gains. Using a patient-centered medical home framework, IBHCs or other allied health professionals embedded in, or co-located with, primary care settings can be key to accessing evidence-based treatments that include: psycho-education and mindfulness-based stress reduction training for caregivers24,25; occupational,26 cognitive behavioral,27 or family therapies28,29; neuro-feedback; computer-based attention training; group- or community-based interventions; and academic and social supports.5,8
Treatment approaches that capitalize on children’s neurologic and psychological plasticity and fortify self-efficacy with developmentally appropriate tools empower them to surmount ADHD symptoms over time.23 Facilitating children’s resilience within a developmental framework and health system’s capacities with socio-culturally relevant approaches, consultation, and research can optimize outcomes and mitigate pervasiveness into adulthood. While the patient is at the center of treatment, it is important to consider the family, school, and communities in which the child lives, learns, and plays. PCPs and IBHCs together can consider a “try and track” method to follow progress, changes, and outcomes over time. With this method, the physician can employ approaches that focus on the patient, caregiver, or the caregiver–child interaction (TABLE 3).
Continue to: Assess patients' needs and the resources available
Assess patients’ needs and the resources available throughout the system of care beyond the primary care setting. Stay abreast of hospital policies, health care insurance coverage, and community- and school-based health programs, and any gaps in adequate and equitable assessment and treatment. For example, while clinical recommendations include psychiatric care, health insurance availability or limits in coverage may dissuade caregivers from seeking help or limit initial or long-term access to resources for help.30 Integrating or advocating for clinic support resources or staffing to assist patients in navigating and mitigating challenges may lessen the management burden and increase the likelihood and longevity of favorable health outcomes.
Steps to ensuring health care equity
Among children of historically marginalized and racial and ethnic minority groups or those of populations affected by health disparities, ADHD symptoms and needs are often masked by structural biases that lead to inequitable care and outcomes, as well as treatment misprioritization or delays.31 In particular, evidence has shown that recognition and diagnostic specificity of ADHD and comorbidities, not prevalence, vary more widely among minority than among nonminority populations,32 contributing to the 23% of children with ADHD who receive no treatment at all.2
Understand caregiver concerns. This diagnosis discrepancy is correlated with symptom rating sensitivities (eg, reliability, perception, accuracy) among informants and how caregivers observe, perceive, appreciate, understand, and report behaviors. This discrepancy is also related to cultural belief differences, physician–patient communication variants, and a litany of other socioeconomic determinants.2,4,31 Caregivers from some cultural, ethnic, or socioeconomic backgrounds may be doubtful of psychiatric assessment, diagnoses, treatment, or medication, and that can impact how children are engaged in clinical and educational settings from the outset.31 In the case we described, James’ mother was initially hesitant to explore psychotropic medications and was concerned about stigmatization within the school system. She also seemed to avoid psychiatric treatment for her own depressive symptoms due to cultural and religious beliefs.
Health care provider concerns. Some PCPs may hesitate to explore medications due to limited knowledge and skill in dosing and titrating based on a child’s age, stage, and symptoms, and a perceived lack of competence in managing ADHD. This, too, can indirectly perpetuate existing health disparities. Furthermore, ADHD symptoms may be deemed a secondary or tertiary concern if other complex or urgent medical or undifferentiated developmental problems manifest.
Compounding matters is the limited dissemination of empiric research articles (including randomized controlled trials with representative samples) and limited education on the effectiveness and safety of psychopharmacologic interventions across the lifespan and different cultural and ethnic groups.4 Consequently, patients who struggle with unmanaged ADHD symptoms are more likely to have chronic mental health disorders, maladaptive behaviors, and other co-occurring conditions contributing to the complexity of individual needs, health care burdens, or justice system involvement; this is particularly true for those of racial and ethnic minorities.33
Continue to: Impact of the COVID-19 pandemic
Impact of the COVID-19 pandemic. Patients—particularly those in minority or health disparity populations—who under normal circumstances might have been hesitant to seek help may have felt even more reluctant to do so during the COVID-19 pandemic. We have not yet learned the degree to which limited availability of preventive health care services, decreased routine visits, and fluctuating insurance coverage has impacted the diagnosis, management, or severity of childhood disorders during the past 2 years. Reports of national findings indicate that prolonged periods out of school and reduced daily structure were associated with increased disruptions in mood, sleep, and appetite, particularly among children with pre-existing pathologies. Evidence suggests that school-aged children experienced more anxiety, regressive behaviors, and parasomnias than they did before the pandemic, while adolescents experienced more isolation and depressive symptoms.34,35
However, there remains a paucity of large-scale or representative studies that use an intersectional lens to examine the influence of COVID-19 on children with ADHD. Therefore, PCPs and IBHCs should refocus attention on possibly undiagnosed, stagnated, or regressed ADHD cases, as well as the adults who care for them. (See “5 ways to overcome Tx barriers and promote health equity.”)
SIDEBAR
5 ways to overcome Tx barriers and promote health equitya
1. Inquire about cultural or ethnic beliefs and behaviors and socioeconomic barriers.
2. Establish trust or assuage mistrust by exploring and dispelling misinformation.
3. Offer accessible, feasible, and sustainable evidence-based interventions.
4. Encourage autonomy and selfdetermination throughout the health care process.
5. Connect caregivers and children with clinical, community, and school-based resources and coordinators.
a These recommendations are based on the authors’ combined clinical experience.
THE CASE
During a follow-up visit 1 month later, the PCP confirmed the clinical impression of ADHD combined presentation with a clinical interview and review of the Strengths and Difficulties Questionnaire completed by James’ mother and the Vanderbilt Assessment Scales completed by James’ mother and teacher. The sleep diary indicated potential problems and apneas worthy of consults for pulmonary function testing, a sleep study, and otolaryngology examination. The PCP informed James’ mother on sleep hygiene strategies and ADHD medication options. She indicated that she wanted to pursue the referrals and behavioral modifications before starting any medication trial.
The PCP referred James to a developmental pediatrician for in-depth assessment of his overall development, learning, and functioning. The developmental pediatrician ultimately confirmed the diagnosis of ADHD, as well as motor and speech delays warranting physical, occupational, and speech therapies. The developmental pediatrician also referred James for targeted genetic testing because she suspected a genetic disorder (eg, XYY syndrome).
The PCP reconnected James and his mother to the IBHC to facilitate subspecialty and school-based care coordination and to provide in-office and home-based interventions. The IBHC assessed James’ emotional dysregulation and impulsivity as adversely impacting his interpersonal relationships and planned to address these issues with behavioral and parent–child interaction therapies and skills training during the course of 6 to 12 visits. James’ mother was encouraged to engage his teacher on his academic performance and to initiate a 504 Plan or IEP for in-school accommodations and support. The IBHC aided in tracking his assessments, referrals, follow-ups, access barriers, and treatment goals.
After 6 months, James had made only modest progress, and his mother requested that he begin a trial of medication. Based on his weight, symptoms, behavior patterns, and sleep habits, the PCP prescribed extended-release dexmethylphenidate 10 mg each morning, then extended-release clonidine 0.1 mg nightly. With team-based clinical management of pharmacologic, behavioral, physical, speech, and occupational therapies, James’ behavior and sleep improved, and the signs of a vocal tic diminished.
By the next school year, James demonstrated a marked improvement in impulse control, attention, and academic functioning. He followed up with the PCP at least quarterly for reassessment of his symptoms, growth, and experience of adverse effects, and to titrate medications accordingly. James and his mother continued to work closely with the IBHC monthly to engage interventions and to monitor his progress at home and school.
CORRESPONDENCE
Sundania J. W. Wonnum, PhD, LCSW, National Institute on Minority Health and Health Disparities, 6707 Democracy Boulevard, Suite 800, Bethesda, MD 20892; [email protected]
1. Bitsko RH, Claussen AH, Lichstein J, et al. Mental health surveillance among children—United States, 2013-2019. MMWR Suppl. 2022;71:1-42. doi: 10.15585/mmwr.su7102a1
2. Danielson ML, Holbrook JR, Blumberg SJ, et al. State-level estimates of the prevalence of parent-reported ADHD diagnosis and treatment among U.S. children and adolescents, 2016 to 2019. J Atten Disord. 2022;26:1685-1697. doi: 10.1177/10870547221099961
3. Faraone SV, Banaschewski T, Coghill D, et al. The World Federation of ADHD International Consensus Statement: 208 evidence-based conclusions about the disorder. Neurosci Biobehav Rev. 2021;128:789-818. doi: 10.1016/j.neubiorev.2021.01.022
4. American Psychiatric Association
5. Brahmbhatt K, Hilty DM, Mina H, et al. Diagnosis and treatment of attention deficit hyperactivity disorder during adolescence in the primary care setting: a concise review. J Adolesc Health. 2016;59:135-143. doi: 10.1016/j.jadohealth.2016.03.025
6. Wolraich ML, Hagan JF, Allan C, et al. AAP Subcommittee on Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. Clinical Practice Guideline for the Diagnosis, Evaluation, and Treatment of Attention-Deficit/Hyperactivity Disorder in Children and Adolescents. Pediatrics. 2019;144:e20192528. doi: 10.1542/peds.2019-2528
7. Song P, Zha M, Yang Q, et al. The prevalence of adult attention-deficit hyperactivity disorder: a global systematic review and meta-analysis. J Glob Health. 2021;11:04009. doi: 10.7189/jogh.11.04009
8. Chang JG, Cimino FM, Gossa W. ADHD in children: common questions and answers. Am Fam Physician. 2020;102:592-602.
9. Asarnow JR, Rozenman M, Wiblin J, et al. Integrated medical-behavioral care compared with usual primary care for child and adolescent behavioral health: a meta-analysis. JAMA Pediatr. 2015;169:929-937. doi: 10.1001/jamapediatrics.2015.1141
10. Squires J, Bricker D. Ages & Stages Questionnaires®. 3rd ed (ASQ®-3). Paul H. Brookes Publishing Co., Inc; 2009.
11. DuPaul GJ, Barkley RA. Situational variability of attention problems: psychometric properties of the Revised Home and School Situations Questionnaires. J Clin Child Psychol. 1992;21:178-188. doi.org/10.1207/s15374424jccp2102_10
12. Merenda PF. BASC: behavior assessment system for children. Meas Eval Counsel Develop. 1996;28:229-232.
13. Conners CK. Conners, 3rd ed manual. Multi-Health Systems. 2008.
14. Achenbach TM. The Child Behavior Checklist and related instruments. In: Maruish ME, ed. The Use of Psychological Testing for Treatment Planning and Outcomes Assessment. Lawrence Erlbaum Associates Publishers; 1999:429-466.
15. Goodman R. The extended version of the Strengths and Difficulties Questionnaire as a guide to child psychiatric caseness and consequent burden. J Child Psychol Psychiatry. 1999;40:791-799.
16. Wolraich ML, Lambert W, Doffing MA, et al. Psychometric properties of the Vanderbilt ADHD Diagnostic Parent Rating Scale in a referred population. J Pediatr Psychol. 2003;28:559-567. doi: 10.1093/jpepsy/jsg046
17. Sparrow SS, Cicchetti DV. The Vineland Adaptive Behavior Scales. In: Newmark CS, ed. Major Psychological Assessment Instruments. Vol 2. Allyn & Bacon; 2003:199-231.
18. Danielson ML, Bitsko RH, Ghandour RM, et al. Prevalence of parent-reported ADHD diagnosis and associated treatment among U.S. children and adolescents, 2016. J Clin Child Adolesc Psychol. 2018;47:199-212. doi: 10.1080/15374416.2017.1417860
19. Ghriwati NA, Langberg JM, Gardner W, et al. Impact of mental health comorbidities on the community-based pediatric treatment and outcomes of children with attention deficit hyperactivity disorder. J Dev Behav Ped. 2017;38:20-28. doi: 10.1097/DBP.0000000000000359
20. Niclasen J, Obel C, Homøe P, et al. Associations between otitis media and child behavioural and learning difficulties: results from a Danish Cohort. Int J Ped Otorhinolaryngol. 2016;84:12-20. doi: 10.1016/j.ijporl.2016.02.017
21. Ross JL Roeltgen DP Kushner H, et al. Behavioral and social phenotypes in boys with 47,XYY syndrome or 47,XXY Klinefelter syndrome. doi: 10.1542/peds.2011-0719
22. Mechler K, Banaschewski T, Hohmann S, et al. Evidence-based pharmacological treatment options for ADHD in children and adolescents. Pharmacol Ther. 2022;230:107940. doi: 10.1016/j.pharmthera.2021.107940
23. Mishra J, Merzenich MM, Sagar R. Accessible online neuroplasticity-targeted training for children with ADHD. Child Adolesc Psychiatry Ment Health. 2013;7:38. doi: 10.1186/1753-2000-7-38
24. Neece CL. Mindfulness-based stress reduction for parents of young children with developmental delays: implications for parental mental health and child behavior problems. J Applied Res Intellect Disabil. 2014;27:174-186. doi: 10.1111/jar.12064
25. Petcharat M, Liehr P. Mindfulness training for parents of children with special needs: guidance for nurses in mental health practice. J Child Adolesc Psychiatr Nursing. 2017;30:35-46. doi: 10.1111/jcap.12169
26. Hahn-Markowitz J, Burger I, Manor I, et al. Efficacy of cognitive-functional (Cog-Fun) occupational therapy intervention among children with ADHD: an RCT. J Atten Disord. 2020;24:655-666. doi: 10.1177/1087054716666955
27. Young Z, Moghaddam N, Tickle A. The efficacy of cognitive behavioral therapy for adults with ADHD: a systematic review and meta-analysis of randomized controlled trials. J Atten Disord. 2020;24:875-888.
28. Carr AW, Bean RA, Nelson KF. Childhood attention-deficit hyperactivity disorder: family therapy from an attachment based perspective. Child Youth Serv Rev. 2020;119:105666.
29. Robin AL. Family therapy for adolescents with ADHD. Child Adolesc Psychiatr Clin N Am. 2014;23:747-756. doi: 10.1016/j.chc.2014.06.001
30. Cattoi B, Alpern I, Katz JS, et al. The adverse health outcomes, economic burden, and public health implications of unmanaged attention deficit hyperactivity disorder (ADHD): a call to action resulting from CHADD summit, Washington, DC, October 17, 2019. J Atten Disord. 2022;26:807-808. doi: 10.1177/10870547211036754
31. Hinojosa MS, Hinojosa R, Nguyen J. Shared decision making and treatment for minority children with ADHD. J Transcult Nurs. 2020;31:135-143. doi: 10.1177/1043659619853021
32. Slobodin O, Masalha R. Challenges in ADHD care for ethnic minority children: a review of the current literature. Transcult Psychiatry. 2020;57:468-483. doi: 10.1177/1363461520902885
33. Retz W, Ginsberg Y, Turner D, et al. Attention-deficit/hyperactivity disorder (ADHD), antisociality and delinquent behavior over the lifespan. Neurosci Biobehav Rev. 2021;120:236-248. doi: 10.1016/j.neubiorev.2020.11.025
34. Del Sol Calderon P, Izquierdo A, Garcia Moreno M. Effects of the pandemic on the mental health of children and adolescents. Review and current scientific evidence of the SARS-COV2 pandemic. Eur Psychiatry. 2021;64:S223-S224. doi: 10.1192/j.eurpsy.2021.597
35. Insa I, Alda JA. Attention deficit hyperactivity disorder (ADHD) & COVID-19: attention deficit hyperactivity disorder: consequences of the 1st wave. Eur Psychiatry. 2021;64:S660. doi: 10.1192/j.eurpsy.2021.1752
THE CASE
James B* is a 7-year-old Black child who presented to his primary care physician (PCP) for a well-child visit. During preventive health screening, James’ mother expressed concerns about his behavior, characterizing him as immature, aggressive, destructive, and occasionally self-loathing. She described him as physically uncoordinated, struggling to keep up with his peers in sports, and tiring after 20 minutes of activity. James slept 10 hours nightly but was often restless and snored intermittently. As a second grader, his academic achievement was not progressing, and he had become increasingly inattentive at home and at school. James’ mother offered several examples of his fighting with his siblings, noncompliance with morning routines, and avoidance of learning activities. Additionally, his mother expressed concern that James, as a Black child, might eventually be unfairly labeled as a problem child by his teachers or held back a grade level in school.
Although James did not have a family history of developmental delays or learning disorders, he had not met any milestones on time for gross or fine motor, language, cognitive, and social-emotional skills. James had a history of chronic otitis media, for which pressure equalizer tubes were inserted at age 2 years. He had not had any major physical injuries, psychological trauma, recent life transitions, or adverse childhood events. When asked, James’ mother acknowledged symptoms of maternal depression but alluded to faith-based reasons for not seeking treatment for herself.
James’ physical examination was unremarkable. His height, weight, and vitals were all within normal limits. However, he had some difficulty with verbal articulation and expression and showed signs of a possible vocal tic. Based on James’ presentation, his PCP suspected attention-deficit/hyperactivity disorder (ADHD), as well as neurodevelopmental delays.
The PCP gave James’ mother the Strengths and Difficulties Questionnaire to complete and the Vanderbilt Assessment Scales for her and James’ teacher to fill out independently and return to the clinic. The PCP also instructed James’ mother on how to use a sleep diary to maintain a 1-month log of his sleep patterns and habits. The PCP consulted the integrated behavioral health clinician (IBHC; a clinical social worker embedded in the primary care clinic) and made a warm handoff for the IBHC to further assess James’ maladaptive behaviors and interactions.
●
* The patient’s name has been changed to protect his identity.
James is one of more than 6 million children, ages 3 to 17 years, in the United States who live with ADHD.1,2 ADHD is the most common neurodevelopmental disorder among children, and it affects multiple cognitive and behavioral domains throughout the lifespan.3 Children with ADHD often initially present in primary care settings; thus, PCPs are well positioned to diagnose the disorder and provide longitudinal treatment. This Behavioral Health Consult reviews clinical assessment and practice guidelines, as well as treatment recommendations applicable across different areas of influence—individual, family, community, and systems—for PCPs and IBHCs to use in managing ADHD in children.
ADHD features can vary by age and sex
ADHD is a persistent pattern of inattention or hyperactivity and impulsivity interfering with functioning or development in childhood and functioning later in adulthood. ADHD symptoms manifest prior to age 12 years and must occur in 2 or more settings.4 Symptoms should not be better explained by another psychiatric disorder or occur exclusively during the course of another disorder (TABLE 1).4
The rate of heritability is high, with significant incidence among first-degree relatives.4 Children with ADHD show executive functioning deficits in 1 or more cognitive domains (eg, visuospatial, memory, inhibitions, decision making, and reward regulation).4,5 The prevalence of ADHD nationally is approximately 9.8% (2.2%, ages 3-5 years; 10%, ages 6-11 years; 13.2%, ages 12-17 years) in children and adolescents; worldwide prevalence is 7.2%.1,6 It persists among 2.6% to 6.8% of adults worldwide.7
Research has shown that boys ages 6 to 11 years are significantly more likely than girls to exhibit attention-getting, externalizing behaviors or conduct problems (eg, hyperactivity, impulsivity, disruption, aggression).1,6 On the other hand, girls ages 12 to 17 years tend to display internalized (eg, depressed mood, anxiety, low self-esteem) or inattentive behaviors, which clinicians and educators may assess as less severe and warranting fewer supportive measures.1
The prevalence of ADHD and its associated factors, which evolve through maturation, underscore the importance of persistent, patient-centered, and collaborative PCP and IBHC clinical management.
Continue to: Begin with a screening tool, move to a clinical interview
Begin with a screening tool, move to a clinical interview
When caregivers express concerns about their child’s behavior, focus, mood, learning, and socialization, consider initiating a multimodal evaluation for ADHD.5,8 Embarking on an ADHD assessment can require extended or multiple visits to arrive at the diagnosis, followed by still more visits to confirm a course of care and adjust medications. The integrative care approach described in the patient case and elaborated on later in this article can help facilitate assessment and treatment of ADHD.9
Signs of ADHD may be observed at initial screening using a tool such as the Ages & Stages Questionnaire (https://agesandstages.com/products-pricing/asq3/) to reveal indications of norm deviations or delays commensurate with ADHD.10 However, to substantiate the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision criteria for an accurate diagnosis,4 the American Academy of Pediatrics (AAP) clinical practice guidelines require a thorough clinical interview, administration of a standardized assessment tool, and review of objective reports in conjunction with a physical examination and psychosocial evaluation.6 Standardized measures of psychological, neurocognitive, and academic achievement reported by caregivers and collateral contacts (eg, teachers, counselors, coaches, care providers) are needed to maximize data objectivity and symptom accuracy across settings (TABLE 210-17). Additionally, periodic reassessment is recommended to validate changes in diagnostic subtype and treatment plans due to the chronic and dynamic nature of ADHD.
Consider comorbidities and alternate diagnoses
The diagnostic possibility of ADHD should also prompt consideration of other childhood disorders due to the high potential for comorbidities.4,6 In a 2016 study, approximately 64% of
Various medical disorders may manifest with similar signs or symptoms to ADHD, such as thyroid disorders, seizure disorders, adverse drug effects, anemia, genetic anomalies, and others.6,19
If there are behavioral concerns or developmental delays associated with tall stature for age or pubertal or testicular development anomalies, consult a geneticist and a developmental pediatrician for targeted testing and neurodevelopmental assessment, respectively. For example, ADHD is a common comorbidity among boys who also have XYY syndrome (Jacobs syndrome). However, due to the variability of symptoms and severity, XYY syndrome often goes undiagnosed, leaving a host of compounding pervasive and developmental problems untreated. Overall, more than two-thirds of patients with ADHD and a co-occurring condition are either inaccurately diagnosed or not referred for additional assessment and adjunct treatment.21
Continue to: Risks that arise over time
Risks that arise over time. As ADHD persists, adolescents are at greater risk for psychiatric comorbidities, suicidality, and functional impairments (eg, risky behaviors, occupational problems, truancy, delinquency, and poor self-esteem).4,8 Adolescents with internalized behaviors are more likely to experience comorbid depressive disorders with increased risk for self-harm.4,5,8 As adolescents age and their sense of autonomy increases, there is a tendency among those who have received a diagnosis of ADHD to minimize symptoms and decrease the frequency of routine clinic visits along with medication use and treatment compliance.3 Additionally, abuse, misuse, and misappropriation of stimulants among teens and young adults are commonplace.
Wide-scope, multidisciplinary evaluation and close clinical management reduce the potential for imprecise diagnoses, particularly at critical developmental junctures. AAP suggests that PCPs can treat mild and moderate cases of ADHD, but if the treating clinician does not have adequate training, experience, time, or clinical support to manage this condition, early referral is warranted.6
A guide to pharmacotherapy
Approximately 77% of children ages 2 to 17 years with a diagnosis of ADHD receive any form of treatment.2 Treatment for ADHD can include behavioral therapy and medication.2 AAP clinical practice guidelines caution against prescribing medications for children younger than 6 years, relying instead on caregiver-, teacher-, or clinician-administered behavioral strategies and parental training in behavioral modification. For children and adolescents between ages 6 and 18 years, first-line treatment includes pharmacotherapy balanced with behavioral therapy, academic modifications, and educational supports (eg, 504 Plan, individualized education plan [IEP]).6
Psychostimulants are preferred. These agents (eg, methylphenidate, amphetamine) remain the most efficacious class of medications to reduce hyperactivity and inattentiveness and to improve function. While long-acting psychostimulants are associated with better medication adherence and adverse-effect tolerance than are short-acting forms, the latter offer more flexibility in dosing. Start by titrating any stimulant to the lowest effective dose; reassess monthly until potential rebound effects stabilize.
Due to potential adverse effects of this class of medication, screen for any family history or personal risk for structural or electrical cardiac anomalies before starting pharmacotherapy. If any such risks exist, arrange for further cardiac evaluation before initiating medication.6 Adverse effects of stimulants include reduced appetite, gastrointestinal symptoms, headaches, anxiousness, parasomnia, tachycardia, and hypertension.
Continue to: Once medication is stabilized...
Once medication is stabilized, monitor treatment 2 to 3 times per year thereafter; watch for longer-term adverse effects such as weight loss, decreased growth rate, and psychiatric comorbidities including the Food and Drug Administration (FDA)’s black box warning of increased risk for suicidality.5,6,22
Other options. The optimal duration of psychostimulant use remains debatable, as existing evidence does not support its long-term use (10 years) over other interventions, such as nonstimulants and nonmedicinal therapies.22 Although backed by less evidence, additional medications indicated for the treatment of ADHD include: (1) atomoxetine, a selective norepinephrine reuptake inhibitor, and (2) the selective alpha-2 adrenergic agonists, extended-release guanfacine and extended-release clonidine (third-line agent).22
Adverse effects of these FDA-approved medications are similar to those observed in stimulant medications. Evaluation of cardiac risks is recommended before starting nonstimulant medications. The alpha-2 adrenergic agonists may also be used as adjunct therapies to stimulants. Before stopping an alpha-2 adrenergic agonist, taper the dosage slowly to avoid the risk for rebound hypertension.6,23 Given the wide variety of medication options and variability of effects, it may be necessary to try different medications as children grow and their symptoms and capacity to manage them change. Additional guidance on FDA-approved medications is available at www.ADHDMedicationGuide.com.
How multilevel care coordination can work
As with other chronic or developmental conditions, the treatment of ADHD requires an interdisciplinary perspective. Continuous, comprehensive case management can help patients overcome obstacles to wellness by balancing the resolution of problems with the development of resilience. Well-documented collaboration of subspecialists, educators, and other stakeholders engaged in ADHD care at multiple levels (individual, family, community, and health care system) increases the likelihood of meaningful, sustainable gains. Using a patient-centered medical home framework, IBHCs or other allied health professionals embedded in, or co-located with, primary care settings can be key to accessing evidence-based treatments that include: psycho-education and mindfulness-based stress reduction training for caregivers24,25; occupational,26 cognitive behavioral,27 or family therapies28,29; neuro-feedback; computer-based attention training; group- or community-based interventions; and academic and social supports.5,8
Treatment approaches that capitalize on children’s neurologic and psychological plasticity and fortify self-efficacy with developmentally appropriate tools empower them to surmount ADHD symptoms over time.23 Facilitating children’s resilience within a developmental framework and health system’s capacities with socio-culturally relevant approaches, consultation, and research can optimize outcomes and mitigate pervasiveness into adulthood. While the patient is at the center of treatment, it is important to consider the family, school, and communities in which the child lives, learns, and plays. PCPs and IBHCs together can consider a “try and track” method to follow progress, changes, and outcomes over time. With this method, the physician can employ approaches that focus on the patient, caregiver, or the caregiver–child interaction (TABLE 3).
Continue to: Assess patients' needs and the resources available
Assess patients’ needs and the resources available throughout the system of care beyond the primary care setting. Stay abreast of hospital policies, health care insurance coverage, and community- and school-based health programs, and any gaps in adequate and equitable assessment and treatment. For example, while clinical recommendations include psychiatric care, health insurance availability or limits in coverage may dissuade caregivers from seeking help or limit initial or long-term access to resources for help.30 Integrating or advocating for clinic support resources or staffing to assist patients in navigating and mitigating challenges may lessen the management burden and increase the likelihood and longevity of favorable health outcomes.
Steps to ensuring health care equity
Among children of historically marginalized and racial and ethnic minority groups or those of populations affected by health disparities, ADHD symptoms and needs are often masked by structural biases that lead to inequitable care and outcomes, as well as treatment misprioritization or delays.31 In particular, evidence has shown that recognition and diagnostic specificity of ADHD and comorbidities, not prevalence, vary more widely among minority than among nonminority populations,32 contributing to the 23% of children with ADHD who receive no treatment at all.2
Understand caregiver concerns. This diagnosis discrepancy is correlated with symptom rating sensitivities (eg, reliability, perception, accuracy) among informants and how caregivers observe, perceive, appreciate, understand, and report behaviors. This discrepancy is also related to cultural belief differences, physician–patient communication variants, and a litany of other socioeconomic determinants.2,4,31 Caregivers from some cultural, ethnic, or socioeconomic backgrounds may be doubtful of psychiatric assessment, diagnoses, treatment, or medication, and that can impact how children are engaged in clinical and educational settings from the outset.31 In the case we described, James’ mother was initially hesitant to explore psychotropic medications and was concerned about stigmatization within the school system. She also seemed to avoid psychiatric treatment for her own depressive symptoms due to cultural and religious beliefs.
Health care provider concerns. Some PCPs may hesitate to explore medications due to limited knowledge and skill in dosing and titrating based on a child’s age, stage, and symptoms, and a perceived lack of competence in managing ADHD. This, too, can indirectly perpetuate existing health disparities. Furthermore, ADHD symptoms may be deemed a secondary or tertiary concern if other complex or urgent medical or undifferentiated developmental problems manifest.
Compounding matters is the limited dissemination of empiric research articles (including randomized controlled trials with representative samples) and limited education on the effectiveness and safety of psychopharmacologic interventions across the lifespan and different cultural and ethnic groups.4 Consequently, patients who struggle with unmanaged ADHD symptoms are more likely to have chronic mental health disorders, maladaptive behaviors, and other co-occurring conditions contributing to the complexity of individual needs, health care burdens, or justice system involvement; this is particularly true for those of racial and ethnic minorities.33
Continue to: Impact of the COVID-19 pandemic
Impact of the COVID-19 pandemic. Patients—particularly those in minority or health disparity populations—who under normal circumstances might have been hesitant to seek help may have felt even more reluctant to do so during the COVID-19 pandemic. We have not yet learned the degree to which limited availability of preventive health care services, decreased routine visits, and fluctuating insurance coverage has impacted the diagnosis, management, or severity of childhood disorders during the past 2 years. Reports of national findings indicate that prolonged periods out of school and reduced daily structure were associated with increased disruptions in mood, sleep, and appetite, particularly among children with pre-existing pathologies. Evidence suggests that school-aged children experienced more anxiety, regressive behaviors, and parasomnias than they did before the pandemic, while adolescents experienced more isolation and depressive symptoms.34,35
However, there remains a paucity of large-scale or representative studies that use an intersectional lens to examine the influence of COVID-19 on children with ADHD. Therefore, PCPs and IBHCs should refocus attention on possibly undiagnosed, stagnated, or regressed ADHD cases, as well as the adults who care for them. (See “5 ways to overcome Tx barriers and promote health equity.”)
SIDEBAR
5 ways to overcome Tx barriers and promote health equitya
1. Inquire about cultural or ethnic beliefs and behaviors and socioeconomic barriers.
2. Establish trust or assuage mistrust by exploring and dispelling misinformation.
3. Offer accessible, feasible, and sustainable evidence-based interventions.
4. Encourage autonomy and selfdetermination throughout the health care process.
5. Connect caregivers and children with clinical, community, and school-based resources and coordinators.
a These recommendations are based on the authors’ combined clinical experience.
THE CASE
During a follow-up visit 1 month later, the PCP confirmed the clinical impression of ADHD combined presentation with a clinical interview and review of the Strengths and Difficulties Questionnaire completed by James’ mother and the Vanderbilt Assessment Scales completed by James’ mother and teacher. The sleep diary indicated potential problems and apneas worthy of consults for pulmonary function testing, a sleep study, and otolaryngology examination. The PCP informed James’ mother on sleep hygiene strategies and ADHD medication options. She indicated that she wanted to pursue the referrals and behavioral modifications before starting any medication trial.
The PCP referred James to a developmental pediatrician for in-depth assessment of his overall development, learning, and functioning. The developmental pediatrician ultimately confirmed the diagnosis of ADHD, as well as motor and speech delays warranting physical, occupational, and speech therapies. The developmental pediatrician also referred James for targeted genetic testing because she suspected a genetic disorder (eg, XYY syndrome).
The PCP reconnected James and his mother to the IBHC to facilitate subspecialty and school-based care coordination and to provide in-office and home-based interventions. The IBHC assessed James’ emotional dysregulation and impulsivity as adversely impacting his interpersonal relationships and planned to address these issues with behavioral and parent–child interaction therapies and skills training during the course of 6 to 12 visits. James’ mother was encouraged to engage his teacher on his academic performance and to initiate a 504 Plan or IEP for in-school accommodations and support. The IBHC aided in tracking his assessments, referrals, follow-ups, access barriers, and treatment goals.
After 6 months, James had made only modest progress, and his mother requested that he begin a trial of medication. Based on his weight, symptoms, behavior patterns, and sleep habits, the PCP prescribed extended-release dexmethylphenidate 10 mg each morning, then extended-release clonidine 0.1 mg nightly. With team-based clinical management of pharmacologic, behavioral, physical, speech, and occupational therapies, James’ behavior and sleep improved, and the signs of a vocal tic diminished.
By the next school year, James demonstrated a marked improvement in impulse control, attention, and academic functioning. He followed up with the PCP at least quarterly for reassessment of his symptoms, growth, and experience of adverse effects, and to titrate medications accordingly. James and his mother continued to work closely with the IBHC monthly to engage interventions and to monitor his progress at home and school.
CORRESPONDENCE
Sundania J. W. Wonnum, PhD, LCSW, National Institute on Minority Health and Health Disparities, 6707 Democracy Boulevard, Suite 800, Bethesda, MD 20892; [email protected]
THE CASE
James B* is a 7-year-old Black child who presented to his primary care physician (PCP) for a well-child visit. During preventive health screening, James’ mother expressed concerns about his behavior, characterizing him as immature, aggressive, destructive, and occasionally self-loathing. She described him as physically uncoordinated, struggling to keep up with his peers in sports, and tiring after 20 minutes of activity. James slept 10 hours nightly but was often restless and snored intermittently. As a second grader, his academic achievement was not progressing, and he had become increasingly inattentive at home and at school. James’ mother offered several examples of his fighting with his siblings, noncompliance with morning routines, and avoidance of learning activities. Additionally, his mother expressed concern that James, as a Black child, might eventually be unfairly labeled as a problem child by his teachers or held back a grade level in school.
Although James did not have a family history of developmental delays or learning disorders, he had not met any milestones on time for gross or fine motor, language, cognitive, and social-emotional skills. James had a history of chronic otitis media, for which pressure equalizer tubes were inserted at age 2 years. He had not had any major physical injuries, psychological trauma, recent life transitions, or adverse childhood events. When asked, James’ mother acknowledged symptoms of maternal depression but alluded to faith-based reasons for not seeking treatment for herself.
James’ physical examination was unremarkable. His height, weight, and vitals were all within normal limits. However, he had some difficulty with verbal articulation and expression and showed signs of a possible vocal tic. Based on James’ presentation, his PCP suspected attention-deficit/hyperactivity disorder (ADHD), as well as neurodevelopmental delays.
The PCP gave James’ mother the Strengths and Difficulties Questionnaire to complete and the Vanderbilt Assessment Scales for her and James’ teacher to fill out independently and return to the clinic. The PCP also instructed James’ mother on how to use a sleep diary to maintain a 1-month log of his sleep patterns and habits. The PCP consulted the integrated behavioral health clinician (IBHC; a clinical social worker embedded in the primary care clinic) and made a warm handoff for the IBHC to further assess James’ maladaptive behaviors and interactions.
●
* The patient’s name has been changed to protect his identity.
James is one of more than 6 million children, ages 3 to 17 years, in the United States who live with ADHD.1,2 ADHD is the most common neurodevelopmental disorder among children, and it affects multiple cognitive and behavioral domains throughout the lifespan.3 Children with ADHD often initially present in primary care settings; thus, PCPs are well positioned to diagnose the disorder and provide longitudinal treatment. This Behavioral Health Consult reviews clinical assessment and practice guidelines, as well as treatment recommendations applicable across different areas of influence—individual, family, community, and systems—for PCPs and IBHCs to use in managing ADHD in children.
ADHD features can vary by age and sex
ADHD is a persistent pattern of inattention or hyperactivity and impulsivity interfering with functioning or development in childhood and functioning later in adulthood. ADHD symptoms manifest prior to age 12 years and must occur in 2 or more settings.4 Symptoms should not be better explained by another psychiatric disorder or occur exclusively during the course of another disorder (TABLE 1).4
The rate of heritability is high, with significant incidence among first-degree relatives.4 Children with ADHD show executive functioning deficits in 1 or more cognitive domains (eg, visuospatial, memory, inhibitions, decision making, and reward regulation).4,5 The prevalence of ADHD nationally is approximately 9.8% (2.2%, ages 3-5 years; 10%, ages 6-11 years; 13.2%, ages 12-17 years) in children and adolescents; worldwide prevalence is 7.2%.1,6 It persists among 2.6% to 6.8% of adults worldwide.7
Research has shown that boys ages 6 to 11 years are significantly more likely than girls to exhibit attention-getting, externalizing behaviors or conduct problems (eg, hyperactivity, impulsivity, disruption, aggression).1,6 On the other hand, girls ages 12 to 17 years tend to display internalized (eg, depressed mood, anxiety, low self-esteem) or inattentive behaviors, which clinicians and educators may assess as less severe and warranting fewer supportive measures.1
The prevalence of ADHD and its associated factors, which evolve through maturation, underscore the importance of persistent, patient-centered, and collaborative PCP and IBHC clinical management.
Continue to: Begin with a screening tool, move to a clinical interview
Begin with a screening tool, move to a clinical interview
When caregivers express concerns about their child’s behavior, focus, mood, learning, and socialization, consider initiating a multimodal evaluation for ADHD.5,8 Embarking on an ADHD assessment can require extended or multiple visits to arrive at the diagnosis, followed by still more visits to confirm a course of care and adjust medications. The integrative care approach described in the patient case and elaborated on later in this article can help facilitate assessment and treatment of ADHD.9
Signs of ADHD may be observed at initial screening using a tool such as the Ages & Stages Questionnaire (https://agesandstages.com/products-pricing/asq3/) to reveal indications of norm deviations or delays commensurate with ADHD.10 However, to substantiate the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision criteria for an accurate diagnosis,4 the American Academy of Pediatrics (AAP) clinical practice guidelines require a thorough clinical interview, administration of a standardized assessment tool, and review of objective reports in conjunction with a physical examination and psychosocial evaluation.6 Standardized measures of psychological, neurocognitive, and academic achievement reported by caregivers and collateral contacts (eg, teachers, counselors, coaches, care providers) are needed to maximize data objectivity and symptom accuracy across settings (TABLE 210-17). Additionally, periodic reassessment is recommended to validate changes in diagnostic subtype and treatment plans due to the chronic and dynamic nature of ADHD.
Consider comorbidities and alternate diagnoses
The diagnostic possibility of ADHD should also prompt consideration of other childhood disorders due to the high potential for comorbidities.4,6 In a 2016 study, approximately 64% of
Various medical disorders may manifest with similar signs or symptoms to ADHD, such as thyroid disorders, seizure disorders, adverse drug effects, anemia, genetic anomalies, and others.6,19
If there are behavioral concerns or developmental delays associated with tall stature for age or pubertal or testicular development anomalies, consult a geneticist and a developmental pediatrician for targeted testing and neurodevelopmental assessment, respectively. For example, ADHD is a common comorbidity among boys who also have XYY syndrome (Jacobs syndrome). However, due to the variability of symptoms and severity, XYY syndrome often goes undiagnosed, leaving a host of compounding pervasive and developmental problems untreated. Overall, more than two-thirds of patients with ADHD and a co-occurring condition are either inaccurately diagnosed or not referred for additional assessment and adjunct treatment.21
Continue to: Risks that arise over time
Risks that arise over time. As ADHD persists, adolescents are at greater risk for psychiatric comorbidities, suicidality, and functional impairments (eg, risky behaviors, occupational problems, truancy, delinquency, and poor self-esteem).4,8 Adolescents with internalized behaviors are more likely to experience comorbid depressive disorders with increased risk for self-harm.4,5,8 As adolescents age and their sense of autonomy increases, there is a tendency among those who have received a diagnosis of ADHD to minimize symptoms and decrease the frequency of routine clinic visits along with medication use and treatment compliance.3 Additionally, abuse, misuse, and misappropriation of stimulants among teens and young adults are commonplace.
Wide-scope, multidisciplinary evaluation and close clinical management reduce the potential for imprecise diagnoses, particularly at critical developmental junctures. AAP suggests that PCPs can treat mild and moderate cases of ADHD, but if the treating clinician does not have adequate training, experience, time, or clinical support to manage this condition, early referral is warranted.6
A guide to pharmacotherapy
Approximately 77% of children ages 2 to 17 years with a diagnosis of ADHD receive any form of treatment.2 Treatment for ADHD can include behavioral therapy and medication.2 AAP clinical practice guidelines caution against prescribing medications for children younger than 6 years, relying instead on caregiver-, teacher-, or clinician-administered behavioral strategies and parental training in behavioral modification. For children and adolescents between ages 6 and 18 years, first-line treatment includes pharmacotherapy balanced with behavioral therapy, academic modifications, and educational supports (eg, 504 Plan, individualized education plan [IEP]).6
Psychostimulants are preferred. These agents (eg, methylphenidate, amphetamine) remain the most efficacious class of medications to reduce hyperactivity and inattentiveness and to improve function. While long-acting psychostimulants are associated with better medication adherence and adverse-effect tolerance than are short-acting forms, the latter offer more flexibility in dosing. Start by titrating any stimulant to the lowest effective dose; reassess monthly until potential rebound effects stabilize.
Due to potential adverse effects of this class of medication, screen for any family history or personal risk for structural or electrical cardiac anomalies before starting pharmacotherapy. If any such risks exist, arrange for further cardiac evaluation before initiating medication.6 Adverse effects of stimulants include reduced appetite, gastrointestinal symptoms, headaches, anxiousness, parasomnia, tachycardia, and hypertension.
Continue to: Once medication is stabilized...
Once medication is stabilized, monitor treatment 2 to 3 times per year thereafter; watch for longer-term adverse effects such as weight loss, decreased growth rate, and psychiatric comorbidities including the Food and Drug Administration (FDA)’s black box warning of increased risk for suicidality.5,6,22
Other options. The optimal duration of psychostimulant use remains debatable, as existing evidence does not support its long-term use (10 years) over other interventions, such as nonstimulants and nonmedicinal therapies.22 Although backed by less evidence, additional medications indicated for the treatment of ADHD include: (1) atomoxetine, a selective norepinephrine reuptake inhibitor, and (2) the selective alpha-2 adrenergic agonists, extended-release guanfacine and extended-release clonidine (third-line agent).22
Adverse effects of these FDA-approved medications are similar to those observed in stimulant medications. Evaluation of cardiac risks is recommended before starting nonstimulant medications. The alpha-2 adrenergic agonists may also be used as adjunct therapies to stimulants. Before stopping an alpha-2 adrenergic agonist, taper the dosage slowly to avoid the risk for rebound hypertension.6,23 Given the wide variety of medication options and variability of effects, it may be necessary to try different medications as children grow and their symptoms and capacity to manage them change. Additional guidance on FDA-approved medications is available at www.ADHDMedicationGuide.com.
How multilevel care coordination can work
As with other chronic or developmental conditions, the treatment of ADHD requires an interdisciplinary perspective. Continuous, comprehensive case management can help patients overcome obstacles to wellness by balancing the resolution of problems with the development of resilience. Well-documented collaboration of subspecialists, educators, and other stakeholders engaged in ADHD care at multiple levels (individual, family, community, and health care system) increases the likelihood of meaningful, sustainable gains. Using a patient-centered medical home framework, IBHCs or other allied health professionals embedded in, or co-located with, primary care settings can be key to accessing evidence-based treatments that include: psycho-education and mindfulness-based stress reduction training for caregivers24,25; occupational,26 cognitive behavioral,27 or family therapies28,29; neuro-feedback; computer-based attention training; group- or community-based interventions; and academic and social supports.5,8
Treatment approaches that capitalize on children’s neurologic and psychological plasticity and fortify self-efficacy with developmentally appropriate tools empower them to surmount ADHD symptoms over time.23 Facilitating children’s resilience within a developmental framework and health system’s capacities with socio-culturally relevant approaches, consultation, and research can optimize outcomes and mitigate pervasiveness into adulthood. While the patient is at the center of treatment, it is important to consider the family, school, and communities in which the child lives, learns, and plays. PCPs and IBHCs together can consider a “try and track” method to follow progress, changes, and outcomes over time. With this method, the physician can employ approaches that focus on the patient, caregiver, or the caregiver–child interaction (TABLE 3).
Continue to: Assess patients' needs and the resources available
Assess patients’ needs and the resources available throughout the system of care beyond the primary care setting. Stay abreast of hospital policies, health care insurance coverage, and community- and school-based health programs, and any gaps in adequate and equitable assessment and treatment. For example, while clinical recommendations include psychiatric care, health insurance availability or limits in coverage may dissuade caregivers from seeking help or limit initial or long-term access to resources for help.30 Integrating or advocating for clinic support resources or staffing to assist patients in navigating and mitigating challenges may lessen the management burden and increase the likelihood and longevity of favorable health outcomes.
Steps to ensuring health care equity
Among children of historically marginalized and racial and ethnic minority groups or those of populations affected by health disparities, ADHD symptoms and needs are often masked by structural biases that lead to inequitable care and outcomes, as well as treatment misprioritization or delays.31 In particular, evidence has shown that recognition and diagnostic specificity of ADHD and comorbidities, not prevalence, vary more widely among minority than among nonminority populations,32 contributing to the 23% of children with ADHD who receive no treatment at all.2
Understand caregiver concerns. This diagnosis discrepancy is correlated with symptom rating sensitivities (eg, reliability, perception, accuracy) among informants and how caregivers observe, perceive, appreciate, understand, and report behaviors. This discrepancy is also related to cultural belief differences, physician–patient communication variants, and a litany of other socioeconomic determinants.2,4,31 Caregivers from some cultural, ethnic, or socioeconomic backgrounds may be doubtful of psychiatric assessment, diagnoses, treatment, or medication, and that can impact how children are engaged in clinical and educational settings from the outset.31 In the case we described, James’ mother was initially hesitant to explore psychotropic medications and was concerned about stigmatization within the school system. She also seemed to avoid psychiatric treatment for her own depressive symptoms due to cultural and religious beliefs.
Health care provider concerns. Some PCPs may hesitate to explore medications due to limited knowledge and skill in dosing and titrating based on a child’s age, stage, and symptoms, and a perceived lack of competence in managing ADHD. This, too, can indirectly perpetuate existing health disparities. Furthermore, ADHD symptoms may be deemed a secondary or tertiary concern if other complex or urgent medical or undifferentiated developmental problems manifest.
Compounding matters is the limited dissemination of empiric research articles (including randomized controlled trials with representative samples) and limited education on the effectiveness and safety of psychopharmacologic interventions across the lifespan and different cultural and ethnic groups.4 Consequently, patients who struggle with unmanaged ADHD symptoms are more likely to have chronic mental health disorders, maladaptive behaviors, and other co-occurring conditions contributing to the complexity of individual needs, health care burdens, or justice system involvement; this is particularly true for those of racial and ethnic minorities.33
Continue to: Impact of the COVID-19 pandemic
Impact of the COVID-19 pandemic. Patients—particularly those in minority or health disparity populations—who under normal circumstances might have been hesitant to seek help may have felt even more reluctant to do so during the COVID-19 pandemic. We have not yet learned the degree to which limited availability of preventive health care services, decreased routine visits, and fluctuating insurance coverage has impacted the diagnosis, management, or severity of childhood disorders during the past 2 years. Reports of national findings indicate that prolonged periods out of school and reduced daily structure were associated with increased disruptions in mood, sleep, and appetite, particularly among children with pre-existing pathologies. Evidence suggests that school-aged children experienced more anxiety, regressive behaviors, and parasomnias than they did before the pandemic, while adolescents experienced more isolation and depressive symptoms.34,35
However, there remains a paucity of large-scale or representative studies that use an intersectional lens to examine the influence of COVID-19 on children with ADHD. Therefore, PCPs and IBHCs should refocus attention on possibly undiagnosed, stagnated, or regressed ADHD cases, as well as the adults who care for them. (See “5 ways to overcome Tx barriers and promote health equity.”)
SIDEBAR
5 ways to overcome Tx barriers and promote health equitya
1. Inquire about cultural or ethnic beliefs and behaviors and socioeconomic barriers.
2. Establish trust or assuage mistrust by exploring and dispelling misinformation.
3. Offer accessible, feasible, and sustainable evidence-based interventions.
4. Encourage autonomy and selfdetermination throughout the health care process.
5. Connect caregivers and children with clinical, community, and school-based resources and coordinators.
a These recommendations are based on the authors’ combined clinical experience.
THE CASE
During a follow-up visit 1 month later, the PCP confirmed the clinical impression of ADHD combined presentation with a clinical interview and review of the Strengths and Difficulties Questionnaire completed by James’ mother and the Vanderbilt Assessment Scales completed by James’ mother and teacher. The sleep diary indicated potential problems and apneas worthy of consults for pulmonary function testing, a sleep study, and otolaryngology examination. The PCP informed James’ mother on sleep hygiene strategies and ADHD medication options. She indicated that she wanted to pursue the referrals and behavioral modifications before starting any medication trial.
The PCP referred James to a developmental pediatrician for in-depth assessment of his overall development, learning, and functioning. The developmental pediatrician ultimately confirmed the diagnosis of ADHD, as well as motor and speech delays warranting physical, occupational, and speech therapies. The developmental pediatrician also referred James for targeted genetic testing because she suspected a genetic disorder (eg, XYY syndrome).
The PCP reconnected James and his mother to the IBHC to facilitate subspecialty and school-based care coordination and to provide in-office and home-based interventions. The IBHC assessed James’ emotional dysregulation and impulsivity as adversely impacting his interpersonal relationships and planned to address these issues with behavioral and parent–child interaction therapies and skills training during the course of 6 to 12 visits. James’ mother was encouraged to engage his teacher on his academic performance and to initiate a 504 Plan or IEP for in-school accommodations and support. The IBHC aided in tracking his assessments, referrals, follow-ups, access barriers, and treatment goals.
After 6 months, James had made only modest progress, and his mother requested that he begin a trial of medication. Based on his weight, symptoms, behavior patterns, and sleep habits, the PCP prescribed extended-release dexmethylphenidate 10 mg each morning, then extended-release clonidine 0.1 mg nightly. With team-based clinical management of pharmacologic, behavioral, physical, speech, and occupational therapies, James’ behavior and sleep improved, and the signs of a vocal tic diminished.
By the next school year, James demonstrated a marked improvement in impulse control, attention, and academic functioning. He followed up with the PCP at least quarterly for reassessment of his symptoms, growth, and experience of adverse effects, and to titrate medications accordingly. James and his mother continued to work closely with the IBHC monthly to engage interventions and to monitor his progress at home and school.
CORRESPONDENCE
Sundania J. W. Wonnum, PhD, LCSW, National Institute on Minority Health and Health Disparities, 6707 Democracy Boulevard, Suite 800, Bethesda, MD 20892; [email protected]
1. Bitsko RH, Claussen AH, Lichstein J, et al. Mental health surveillance among children—United States, 2013-2019. MMWR Suppl. 2022;71:1-42. doi: 10.15585/mmwr.su7102a1
2. Danielson ML, Holbrook JR, Blumberg SJ, et al. State-level estimates of the prevalence of parent-reported ADHD diagnosis and treatment among U.S. children and adolescents, 2016 to 2019. J Atten Disord. 2022;26:1685-1697. doi: 10.1177/10870547221099961
3. Faraone SV, Banaschewski T, Coghill D, et al. The World Federation of ADHD International Consensus Statement: 208 evidence-based conclusions about the disorder. Neurosci Biobehav Rev. 2021;128:789-818. doi: 10.1016/j.neubiorev.2021.01.022
4. American Psychiatric Association
5. Brahmbhatt K, Hilty DM, Mina H, et al. Diagnosis and treatment of attention deficit hyperactivity disorder during adolescence in the primary care setting: a concise review. J Adolesc Health. 2016;59:135-143. doi: 10.1016/j.jadohealth.2016.03.025
6. Wolraich ML, Hagan JF, Allan C, et al. AAP Subcommittee on Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. Clinical Practice Guideline for the Diagnosis, Evaluation, and Treatment of Attention-Deficit/Hyperactivity Disorder in Children and Adolescents. Pediatrics. 2019;144:e20192528. doi: 10.1542/peds.2019-2528
7. Song P, Zha M, Yang Q, et al. The prevalence of adult attention-deficit hyperactivity disorder: a global systematic review and meta-analysis. J Glob Health. 2021;11:04009. doi: 10.7189/jogh.11.04009
8. Chang JG, Cimino FM, Gossa W. ADHD in children: common questions and answers. Am Fam Physician. 2020;102:592-602.
9. Asarnow JR, Rozenman M, Wiblin J, et al. Integrated medical-behavioral care compared with usual primary care for child and adolescent behavioral health: a meta-analysis. JAMA Pediatr. 2015;169:929-937. doi: 10.1001/jamapediatrics.2015.1141
10. Squires J, Bricker D. Ages & Stages Questionnaires®. 3rd ed (ASQ®-3). Paul H. Brookes Publishing Co., Inc; 2009.
11. DuPaul GJ, Barkley RA. Situational variability of attention problems: psychometric properties of the Revised Home and School Situations Questionnaires. J Clin Child Psychol. 1992;21:178-188. doi.org/10.1207/s15374424jccp2102_10
12. Merenda PF. BASC: behavior assessment system for children. Meas Eval Counsel Develop. 1996;28:229-232.
13. Conners CK. Conners, 3rd ed manual. Multi-Health Systems. 2008.
14. Achenbach TM. The Child Behavior Checklist and related instruments. In: Maruish ME, ed. The Use of Psychological Testing for Treatment Planning and Outcomes Assessment. Lawrence Erlbaum Associates Publishers; 1999:429-466.
15. Goodman R. The extended version of the Strengths and Difficulties Questionnaire as a guide to child psychiatric caseness and consequent burden. J Child Psychol Psychiatry. 1999;40:791-799.
16. Wolraich ML, Lambert W, Doffing MA, et al. Psychometric properties of the Vanderbilt ADHD Diagnostic Parent Rating Scale in a referred population. J Pediatr Psychol. 2003;28:559-567. doi: 10.1093/jpepsy/jsg046
17. Sparrow SS, Cicchetti DV. The Vineland Adaptive Behavior Scales. In: Newmark CS, ed. Major Psychological Assessment Instruments. Vol 2. Allyn & Bacon; 2003:199-231.
18. Danielson ML, Bitsko RH, Ghandour RM, et al. Prevalence of parent-reported ADHD diagnosis and associated treatment among U.S. children and adolescents, 2016. J Clin Child Adolesc Psychol. 2018;47:199-212. doi: 10.1080/15374416.2017.1417860
19. Ghriwati NA, Langberg JM, Gardner W, et al. Impact of mental health comorbidities on the community-based pediatric treatment and outcomes of children with attention deficit hyperactivity disorder. J Dev Behav Ped. 2017;38:20-28. doi: 10.1097/DBP.0000000000000359
20. Niclasen J, Obel C, Homøe P, et al. Associations between otitis media and child behavioural and learning difficulties: results from a Danish Cohort. Int J Ped Otorhinolaryngol. 2016;84:12-20. doi: 10.1016/j.ijporl.2016.02.017
21. Ross JL Roeltgen DP Kushner H, et al. Behavioral and social phenotypes in boys with 47,XYY syndrome or 47,XXY Klinefelter syndrome. doi: 10.1542/peds.2011-0719
22. Mechler K, Banaschewski T, Hohmann S, et al. Evidence-based pharmacological treatment options for ADHD in children and adolescents. Pharmacol Ther. 2022;230:107940. doi: 10.1016/j.pharmthera.2021.107940
23. Mishra J, Merzenich MM, Sagar R. Accessible online neuroplasticity-targeted training for children with ADHD. Child Adolesc Psychiatry Ment Health. 2013;7:38. doi: 10.1186/1753-2000-7-38
24. Neece CL. Mindfulness-based stress reduction for parents of young children with developmental delays: implications for parental mental health and child behavior problems. J Applied Res Intellect Disabil. 2014;27:174-186. doi: 10.1111/jar.12064
25. Petcharat M, Liehr P. Mindfulness training for parents of children with special needs: guidance for nurses in mental health practice. J Child Adolesc Psychiatr Nursing. 2017;30:35-46. doi: 10.1111/jcap.12169
26. Hahn-Markowitz J, Burger I, Manor I, et al. Efficacy of cognitive-functional (Cog-Fun) occupational therapy intervention among children with ADHD: an RCT. J Atten Disord. 2020;24:655-666. doi: 10.1177/1087054716666955
27. Young Z, Moghaddam N, Tickle A. The efficacy of cognitive behavioral therapy for adults with ADHD: a systematic review and meta-analysis of randomized controlled trials. J Atten Disord. 2020;24:875-888.
28. Carr AW, Bean RA, Nelson KF. Childhood attention-deficit hyperactivity disorder: family therapy from an attachment based perspective. Child Youth Serv Rev. 2020;119:105666.
29. Robin AL. Family therapy for adolescents with ADHD. Child Adolesc Psychiatr Clin N Am. 2014;23:747-756. doi: 10.1016/j.chc.2014.06.001
30. Cattoi B, Alpern I, Katz JS, et al. The adverse health outcomes, economic burden, and public health implications of unmanaged attention deficit hyperactivity disorder (ADHD): a call to action resulting from CHADD summit, Washington, DC, October 17, 2019. J Atten Disord. 2022;26:807-808. doi: 10.1177/10870547211036754
31. Hinojosa MS, Hinojosa R, Nguyen J. Shared decision making and treatment for minority children with ADHD. J Transcult Nurs. 2020;31:135-143. doi: 10.1177/1043659619853021
32. Slobodin O, Masalha R. Challenges in ADHD care for ethnic minority children: a review of the current literature. Transcult Psychiatry. 2020;57:468-483. doi: 10.1177/1363461520902885
33. Retz W, Ginsberg Y, Turner D, et al. Attention-deficit/hyperactivity disorder (ADHD), antisociality and delinquent behavior over the lifespan. Neurosci Biobehav Rev. 2021;120:236-248. doi: 10.1016/j.neubiorev.2020.11.025
34. Del Sol Calderon P, Izquierdo A, Garcia Moreno M. Effects of the pandemic on the mental health of children and adolescents. Review and current scientific evidence of the SARS-COV2 pandemic. Eur Psychiatry. 2021;64:S223-S224. doi: 10.1192/j.eurpsy.2021.597
35. Insa I, Alda JA. Attention deficit hyperactivity disorder (ADHD) & COVID-19: attention deficit hyperactivity disorder: consequences of the 1st wave. Eur Psychiatry. 2021;64:S660. doi: 10.1192/j.eurpsy.2021.1752
1. Bitsko RH, Claussen AH, Lichstein J, et al. Mental health surveillance among children—United States, 2013-2019. MMWR Suppl. 2022;71:1-42. doi: 10.15585/mmwr.su7102a1
2. Danielson ML, Holbrook JR, Blumberg SJ, et al. State-level estimates of the prevalence of parent-reported ADHD diagnosis and treatment among U.S. children and adolescents, 2016 to 2019. J Atten Disord. 2022;26:1685-1697. doi: 10.1177/10870547221099961
3. Faraone SV, Banaschewski T, Coghill D, et al. The World Federation of ADHD International Consensus Statement: 208 evidence-based conclusions about the disorder. Neurosci Biobehav Rev. 2021;128:789-818. doi: 10.1016/j.neubiorev.2021.01.022
4. American Psychiatric Association
5. Brahmbhatt K, Hilty DM, Mina H, et al. Diagnosis and treatment of attention deficit hyperactivity disorder during adolescence in the primary care setting: a concise review. J Adolesc Health. 2016;59:135-143. doi: 10.1016/j.jadohealth.2016.03.025
6. Wolraich ML, Hagan JF, Allan C, et al. AAP Subcommittee on Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. Clinical Practice Guideline for the Diagnosis, Evaluation, and Treatment of Attention-Deficit/Hyperactivity Disorder in Children and Adolescents. Pediatrics. 2019;144:e20192528. doi: 10.1542/peds.2019-2528
7. Song P, Zha M, Yang Q, et al. The prevalence of adult attention-deficit hyperactivity disorder: a global systematic review and meta-analysis. J Glob Health. 2021;11:04009. doi: 10.7189/jogh.11.04009
8. Chang JG, Cimino FM, Gossa W. ADHD in children: common questions and answers. Am Fam Physician. 2020;102:592-602.
9. Asarnow JR, Rozenman M, Wiblin J, et al. Integrated medical-behavioral care compared with usual primary care for child and adolescent behavioral health: a meta-analysis. JAMA Pediatr. 2015;169:929-937. doi: 10.1001/jamapediatrics.2015.1141
10. Squires J, Bricker D. Ages & Stages Questionnaires®. 3rd ed (ASQ®-3). Paul H. Brookes Publishing Co., Inc; 2009.
11. DuPaul GJ, Barkley RA. Situational variability of attention problems: psychometric properties of the Revised Home and School Situations Questionnaires. J Clin Child Psychol. 1992;21:178-188. doi.org/10.1207/s15374424jccp2102_10
12. Merenda PF. BASC: behavior assessment system for children. Meas Eval Counsel Develop. 1996;28:229-232.
13. Conners CK. Conners, 3rd ed manual. Multi-Health Systems. 2008.
14. Achenbach TM. The Child Behavior Checklist and related instruments. In: Maruish ME, ed. The Use of Psychological Testing for Treatment Planning and Outcomes Assessment. Lawrence Erlbaum Associates Publishers; 1999:429-466.
15. Goodman R. The extended version of the Strengths and Difficulties Questionnaire as a guide to child psychiatric caseness and consequent burden. J Child Psychol Psychiatry. 1999;40:791-799.
16. Wolraich ML, Lambert W, Doffing MA, et al. Psychometric properties of the Vanderbilt ADHD Diagnostic Parent Rating Scale in a referred population. J Pediatr Psychol. 2003;28:559-567. doi: 10.1093/jpepsy/jsg046
17. Sparrow SS, Cicchetti DV. The Vineland Adaptive Behavior Scales. In: Newmark CS, ed. Major Psychological Assessment Instruments. Vol 2. Allyn & Bacon; 2003:199-231.
18. Danielson ML, Bitsko RH, Ghandour RM, et al. Prevalence of parent-reported ADHD diagnosis and associated treatment among U.S. children and adolescents, 2016. J Clin Child Adolesc Psychol. 2018;47:199-212. doi: 10.1080/15374416.2017.1417860
19. Ghriwati NA, Langberg JM, Gardner W, et al. Impact of mental health comorbidities on the community-based pediatric treatment and outcomes of children with attention deficit hyperactivity disorder. J Dev Behav Ped. 2017;38:20-28. doi: 10.1097/DBP.0000000000000359
20. Niclasen J, Obel C, Homøe P, et al. Associations between otitis media and child behavioural and learning difficulties: results from a Danish Cohort. Int J Ped Otorhinolaryngol. 2016;84:12-20. doi: 10.1016/j.ijporl.2016.02.017
21. Ross JL Roeltgen DP Kushner H, et al. Behavioral and social phenotypes in boys with 47,XYY syndrome or 47,XXY Klinefelter syndrome. doi: 10.1542/peds.2011-0719
22. Mechler K, Banaschewski T, Hohmann S, et al. Evidence-based pharmacological treatment options for ADHD in children and adolescents. Pharmacol Ther. 2022;230:107940. doi: 10.1016/j.pharmthera.2021.107940
23. Mishra J, Merzenich MM, Sagar R. Accessible online neuroplasticity-targeted training for children with ADHD. Child Adolesc Psychiatry Ment Health. 2013;7:38. doi: 10.1186/1753-2000-7-38
24. Neece CL. Mindfulness-based stress reduction for parents of young children with developmental delays: implications for parental mental health and child behavior problems. J Applied Res Intellect Disabil. 2014;27:174-186. doi: 10.1111/jar.12064
25. Petcharat M, Liehr P. Mindfulness training for parents of children with special needs: guidance for nurses in mental health practice. J Child Adolesc Psychiatr Nursing. 2017;30:35-46. doi: 10.1111/jcap.12169
26. Hahn-Markowitz J, Burger I, Manor I, et al. Efficacy of cognitive-functional (Cog-Fun) occupational therapy intervention among children with ADHD: an RCT. J Atten Disord. 2020;24:655-666. doi: 10.1177/1087054716666955
27. Young Z, Moghaddam N, Tickle A. The efficacy of cognitive behavioral therapy for adults with ADHD: a systematic review and meta-analysis of randomized controlled trials. J Atten Disord. 2020;24:875-888.
28. Carr AW, Bean RA, Nelson KF. Childhood attention-deficit hyperactivity disorder: family therapy from an attachment based perspective. Child Youth Serv Rev. 2020;119:105666.
29. Robin AL. Family therapy for adolescents with ADHD. Child Adolesc Psychiatr Clin N Am. 2014;23:747-756. doi: 10.1016/j.chc.2014.06.001
30. Cattoi B, Alpern I, Katz JS, et al. The adverse health outcomes, economic burden, and public health implications of unmanaged attention deficit hyperactivity disorder (ADHD): a call to action resulting from CHADD summit, Washington, DC, October 17, 2019. J Atten Disord. 2022;26:807-808. doi: 10.1177/10870547211036754
31. Hinojosa MS, Hinojosa R, Nguyen J. Shared decision making and treatment for minority children with ADHD. J Transcult Nurs. 2020;31:135-143. doi: 10.1177/1043659619853021
32. Slobodin O, Masalha R. Challenges in ADHD care for ethnic minority children: a review of the current literature. Transcult Psychiatry. 2020;57:468-483. doi: 10.1177/1363461520902885
33. Retz W, Ginsberg Y, Turner D, et al. Attention-deficit/hyperactivity disorder (ADHD), antisociality and delinquent behavior over the lifespan. Neurosci Biobehav Rev. 2021;120:236-248. doi: 10.1016/j.neubiorev.2020.11.025
34. Del Sol Calderon P, Izquierdo A, Garcia Moreno M. Effects of the pandemic on the mental health of children and adolescents. Review and current scientific evidence of the SARS-COV2 pandemic. Eur Psychiatry. 2021;64:S223-S224. doi: 10.1192/j.eurpsy.2021.597
35. Insa I, Alda JA. Attention deficit hyperactivity disorder (ADHD) & COVID-19: attention deficit hyperactivity disorder: consequences of the 1st wave. Eur Psychiatry. 2021;64:S660. doi: 10.1192/j.eurpsy.2021.1752
Does physical exercise reduce dementia-associated agitation?
Evidence summary
Mixed results on exercise’s effect on neuropsychiatric symptoms
A 2020 systematic review and meta-analysis of 18 RCTs investigated the effect of home-based physical activity on several markers of behavioral and psychological symptoms of dementia (BPSD). These symptoms were measured using the caregiver-completed neuropsychiatric inventory (NPI), which includes agitation. There was substantial heterogeneity between trials; however, 4 RCTs (472 patients) were included in a meta-analysis of the NPI. These RCTs were nonblinded, given the nature of the intervention.1
Interventions to enhance physical activity ranged from 12 weeks to 2 years in duration, with 2 to 8 contacts from the study team per week. The type of physical activity varied and included cardiorespiratory endurance, balance training, resistance training, and activities of daily living training.1
Exercise was associated with significantly fewer symptoms on the NPI, although the effect size was small (standard mean difference [SMD] = –0.37; 95% CI, –0.57 to –0.17). Heterogeneity in the interventions and assessments were limitations to this meta-analysis.1
A 2015 systematic review and meta-analysis of 18 RCTs compared the effect of exercise interventions against a control group for the treatment of BPSD, utilizing 10 behavioral and 2 neurovegetative components of the NPI (each scored from 0 to 5) in patients with dementia. Studies were included if they used ≥ 1 exercise intervention compared to a control or usual care group without additional exercise recommendations. Thirteen studies had a multicomponent training intervention (≥ 2 exercise types grouped together in the same training session), 2 used tai chi, 4 used walking, and 1 used dance and movement therapy. These RCTs were conducted in a variety of settings, including community-dwelling and long-term care facilities (n = 6427 patients).2
Exercise did not reduce global BPSD (N = 4441 patients), with a weighted mean difference (WMD) of −3.9 (95% CI, −9.0 to 1.2; P = .13).
A 2017 hospital-based RCT evaluated the effects of a short-term exercise program on neuropsychiatric signs and symptoms in patients with dementia in 3 specialized dementia care wards (N = 85). Patients had a diagnosis of dementia, minimum length of stay of 1 week, no delirium, and the ability to perform the Timed Up and Go Test. The intervention group included a 2-week exercise program of four 20-minute exercise sessions per day on 3 days per week, involving strengthening or endurance exercises, in addition to treatment as usual. The control group included a 2-week period of social-stimulation programs consisting of table games for 120 minutes per week, in addition to treatment as usual.3
Of 85 patients randomized, 15 (18%) were lost to follow-up (14 of whom were discharged early from the hospital). Among the 70 patients included in the final analysis, the mean age was 80 years; 47% were female and 53% male; and the mean Mini-Mental Status Examination score was 18.3 (≤ 23 indicates dementia). In both groups, most patients had moderate dementia, moderate neuropsychiatric signs and symptoms, and a low level of psychotic symptoms. Patients in the intervention group had a higher adherence rate compared with those in the control group.3
Continue to: The primary outcome...
The primary outcome was neuropsychiatric signs and symptoms as measured by the Alzheimer’s Disease Cooperative Study–Clinical Global Impression of Change (ADCS-CGIC). Compared to the control group, the intervention group experienced greater improvement on the ADCS-CGIC dimensions of emotional agitation (
A 2016 factorial cluster RCT of 16 nursing homes (with at least 60% of the population having dementia) compared the use of person-centered care vs person-centered care plus at least 1 randomly assigned additional intervention (eg, antipsychotic medication use review, social interaction interventions, and exercise over a period of 9 months) (n = 277, with 193 analyzed per protocol). Exercise was implemented at 1 hour per week or at an increase of 20% above baseline and compared with a control group with no change in exercise.4
Exercise significantly improved neuropsychiatric symptoms. The baseline NPI score of 14.54 improved by –3.59 (95% CI, –7.08 to –0.09; P < .05). However, none of the study interventions significantly improved the agitation-specific scores. The primary limitation of this study was that antipsychotic prescribing was at the discretion of the provider and not according to a protocol. In addition, the authors noted that the trial was inadequately powered to correct for testing 3 primary outcomes.4
Editor’s takeaway
Dementia and dementia with agitation are challenging conditions to treat. Disappointingly, physical exercise had inconsistent and generally minimal effect on agitation in dementia. Nevertheless, exercise had other positive effects. So, considering the benefits that exercise does provide, its low cost, and its limited adverse effects, exercise remains a small tool to address a big problem.
1. de Almeida SIL, Gomes da Silva M, de Dias Marques ASP. Home-based physical activity programs for people with dementia: systematic review and meta-analysis. Gerontologist. 2020;60:600-608. doi: 10.1093/geront/gnz176
2. de Souto Barreto P, Demougeot L, Pillard F, et al. Exercise training for managing behavioral and psychological symptoms in people with dementia: a systematic review and meta-analysis. Ageing Res Rev. 2015;24(pt B):274-285. doi: 10.1016/j.arr.2015.09.001
3. Fleiner T, Dauth H, Gersie M, et al. Structured physical exercise improves neuropsychiatric symptoms in acute dementia care: a hospital-based RCT. Alzheimers Res Ther. 2017;9:68. doi: 10.1186/s13195-017-0289-z
4. Ballard C, Orrell M, YongZhong S, et al. Impact of antipsychotic review and nonpharmacological intervention on antipsychotic use, neuropsychiatric symptoms, and mortality in people with dementia living in nursing homes: a factorial cluster-randomized controlled trial by the Well-Being and Health for People With Dementia (WHELD) Program. Am J Psychiatry. 2016;173:252-262. doi: 10.1176/appi.ajp.2015.15010130
Evidence summary
Mixed results on exercise’s effect on neuropsychiatric symptoms
A 2020 systematic review and meta-analysis of 18 RCTs investigated the effect of home-based physical activity on several markers of behavioral and psychological symptoms of dementia (BPSD). These symptoms were measured using the caregiver-completed neuropsychiatric inventory (NPI), which includes agitation. There was substantial heterogeneity between trials; however, 4 RCTs (472 patients) were included in a meta-analysis of the NPI. These RCTs were nonblinded, given the nature of the intervention.1
Interventions to enhance physical activity ranged from 12 weeks to 2 years in duration, with 2 to 8 contacts from the study team per week. The type of physical activity varied and included cardiorespiratory endurance, balance training, resistance training, and activities of daily living training.1
Exercise was associated with significantly fewer symptoms on the NPI, although the effect size was small (standard mean difference [SMD] = –0.37; 95% CI, –0.57 to –0.17). Heterogeneity in the interventions and assessments were limitations to this meta-analysis.1
A 2015 systematic review and meta-analysis of 18 RCTs compared the effect of exercise interventions against a control group for the treatment of BPSD, utilizing 10 behavioral and 2 neurovegetative components of the NPI (each scored from 0 to 5) in patients with dementia. Studies were included if they used ≥ 1 exercise intervention compared to a control or usual care group without additional exercise recommendations. Thirteen studies had a multicomponent training intervention (≥ 2 exercise types grouped together in the same training session), 2 used tai chi, 4 used walking, and 1 used dance and movement therapy. These RCTs were conducted in a variety of settings, including community-dwelling and long-term care facilities (n = 6427 patients).2
Exercise did not reduce global BPSD (N = 4441 patients), with a weighted mean difference (WMD) of −3.9 (95% CI, −9.0 to 1.2; P = .13).
A 2017 hospital-based RCT evaluated the effects of a short-term exercise program on neuropsychiatric signs and symptoms in patients with dementia in 3 specialized dementia care wards (N = 85). Patients had a diagnosis of dementia, minimum length of stay of 1 week, no delirium, and the ability to perform the Timed Up and Go Test. The intervention group included a 2-week exercise program of four 20-minute exercise sessions per day on 3 days per week, involving strengthening or endurance exercises, in addition to treatment as usual. The control group included a 2-week period of social-stimulation programs consisting of table games for 120 minutes per week, in addition to treatment as usual.3
Of 85 patients randomized, 15 (18%) were lost to follow-up (14 of whom were discharged early from the hospital). Among the 70 patients included in the final analysis, the mean age was 80 years; 47% were female and 53% male; and the mean Mini-Mental Status Examination score was 18.3 (≤ 23 indicates dementia). In both groups, most patients had moderate dementia, moderate neuropsychiatric signs and symptoms, and a low level of psychotic symptoms. Patients in the intervention group had a higher adherence rate compared with those in the control group.3
Continue to: The primary outcome...
The primary outcome was neuropsychiatric signs and symptoms as measured by the Alzheimer’s Disease Cooperative Study–Clinical Global Impression of Change (ADCS-CGIC). Compared to the control group, the intervention group experienced greater improvement on the ADCS-CGIC dimensions of emotional agitation (
A 2016 factorial cluster RCT of 16 nursing homes (with at least 60% of the population having dementia) compared the use of person-centered care vs person-centered care plus at least 1 randomly assigned additional intervention (eg, antipsychotic medication use review, social interaction interventions, and exercise over a period of 9 months) (n = 277, with 193 analyzed per protocol). Exercise was implemented at 1 hour per week or at an increase of 20% above baseline and compared with a control group with no change in exercise.4
Exercise significantly improved neuropsychiatric symptoms. The baseline NPI score of 14.54 improved by –3.59 (95% CI, –7.08 to –0.09; P < .05). However, none of the study interventions significantly improved the agitation-specific scores. The primary limitation of this study was that antipsychotic prescribing was at the discretion of the provider and not according to a protocol. In addition, the authors noted that the trial was inadequately powered to correct for testing 3 primary outcomes.4
Editor’s takeaway
Dementia and dementia with agitation are challenging conditions to treat. Disappointingly, physical exercise had inconsistent and generally minimal effect on agitation in dementia. Nevertheless, exercise had other positive effects. So, considering the benefits that exercise does provide, its low cost, and its limited adverse effects, exercise remains a small tool to address a big problem.
Evidence summary
Mixed results on exercise’s effect on neuropsychiatric symptoms
A 2020 systematic review and meta-analysis of 18 RCTs investigated the effect of home-based physical activity on several markers of behavioral and psychological symptoms of dementia (BPSD). These symptoms were measured using the caregiver-completed neuropsychiatric inventory (NPI), which includes agitation. There was substantial heterogeneity between trials; however, 4 RCTs (472 patients) were included in a meta-analysis of the NPI. These RCTs were nonblinded, given the nature of the intervention.1
Interventions to enhance physical activity ranged from 12 weeks to 2 years in duration, with 2 to 8 contacts from the study team per week. The type of physical activity varied and included cardiorespiratory endurance, balance training, resistance training, and activities of daily living training.1
Exercise was associated with significantly fewer symptoms on the NPI, although the effect size was small (standard mean difference [SMD] = –0.37; 95% CI, –0.57 to –0.17). Heterogeneity in the interventions and assessments were limitations to this meta-analysis.1
A 2015 systematic review and meta-analysis of 18 RCTs compared the effect of exercise interventions against a control group for the treatment of BPSD, utilizing 10 behavioral and 2 neurovegetative components of the NPI (each scored from 0 to 5) in patients with dementia. Studies were included if they used ≥ 1 exercise intervention compared to a control or usual care group without additional exercise recommendations. Thirteen studies had a multicomponent training intervention (≥ 2 exercise types grouped together in the same training session), 2 used tai chi, 4 used walking, and 1 used dance and movement therapy. These RCTs were conducted in a variety of settings, including community-dwelling and long-term care facilities (n = 6427 patients).2
Exercise did not reduce global BPSD (N = 4441 patients), with a weighted mean difference (WMD) of −3.9 (95% CI, −9.0 to 1.2; P = .13).
A 2017 hospital-based RCT evaluated the effects of a short-term exercise program on neuropsychiatric signs and symptoms in patients with dementia in 3 specialized dementia care wards (N = 85). Patients had a diagnosis of dementia, minimum length of stay of 1 week, no delirium, and the ability to perform the Timed Up and Go Test. The intervention group included a 2-week exercise program of four 20-minute exercise sessions per day on 3 days per week, involving strengthening or endurance exercises, in addition to treatment as usual. The control group included a 2-week period of social-stimulation programs consisting of table games for 120 minutes per week, in addition to treatment as usual.3
Of 85 patients randomized, 15 (18%) were lost to follow-up (14 of whom were discharged early from the hospital). Among the 70 patients included in the final analysis, the mean age was 80 years; 47% were female and 53% male; and the mean Mini-Mental Status Examination score was 18.3 (≤ 23 indicates dementia). In both groups, most patients had moderate dementia, moderate neuropsychiatric signs and symptoms, and a low level of psychotic symptoms. Patients in the intervention group had a higher adherence rate compared with those in the control group.3
Continue to: The primary outcome...
The primary outcome was neuropsychiatric signs and symptoms as measured by the Alzheimer’s Disease Cooperative Study–Clinical Global Impression of Change (ADCS-CGIC). Compared to the control group, the intervention group experienced greater improvement on the ADCS-CGIC dimensions of emotional agitation (
A 2016 factorial cluster RCT of 16 nursing homes (with at least 60% of the population having dementia) compared the use of person-centered care vs person-centered care plus at least 1 randomly assigned additional intervention (eg, antipsychotic medication use review, social interaction interventions, and exercise over a period of 9 months) (n = 277, with 193 analyzed per protocol). Exercise was implemented at 1 hour per week or at an increase of 20% above baseline and compared with a control group with no change in exercise.4
Exercise significantly improved neuropsychiatric symptoms. The baseline NPI score of 14.54 improved by –3.59 (95% CI, –7.08 to –0.09; P < .05). However, none of the study interventions significantly improved the agitation-specific scores. The primary limitation of this study was that antipsychotic prescribing was at the discretion of the provider and not according to a protocol. In addition, the authors noted that the trial was inadequately powered to correct for testing 3 primary outcomes.4
Editor’s takeaway
Dementia and dementia with agitation are challenging conditions to treat. Disappointingly, physical exercise had inconsistent and generally minimal effect on agitation in dementia. Nevertheless, exercise had other positive effects. So, considering the benefits that exercise does provide, its low cost, and its limited adverse effects, exercise remains a small tool to address a big problem.
1. de Almeida SIL, Gomes da Silva M, de Dias Marques ASP. Home-based physical activity programs for people with dementia: systematic review and meta-analysis. Gerontologist. 2020;60:600-608. doi: 10.1093/geront/gnz176
2. de Souto Barreto P, Demougeot L, Pillard F, et al. Exercise training for managing behavioral and psychological symptoms in people with dementia: a systematic review and meta-analysis. Ageing Res Rev. 2015;24(pt B):274-285. doi: 10.1016/j.arr.2015.09.001
3. Fleiner T, Dauth H, Gersie M, et al. Structured physical exercise improves neuropsychiatric symptoms in acute dementia care: a hospital-based RCT. Alzheimers Res Ther. 2017;9:68. doi: 10.1186/s13195-017-0289-z
4. Ballard C, Orrell M, YongZhong S, et al. Impact of antipsychotic review and nonpharmacological intervention on antipsychotic use, neuropsychiatric symptoms, and mortality in people with dementia living in nursing homes: a factorial cluster-randomized controlled trial by the Well-Being and Health for People With Dementia (WHELD) Program. Am J Psychiatry. 2016;173:252-262. doi: 10.1176/appi.ajp.2015.15010130
1. de Almeida SIL, Gomes da Silva M, de Dias Marques ASP. Home-based physical activity programs for people with dementia: systematic review and meta-analysis. Gerontologist. 2020;60:600-608. doi: 10.1093/geront/gnz176
2. de Souto Barreto P, Demougeot L, Pillard F, et al. Exercise training for managing behavioral and psychological symptoms in people with dementia: a systematic review and meta-analysis. Ageing Res Rev. 2015;24(pt B):274-285. doi: 10.1016/j.arr.2015.09.001
3. Fleiner T, Dauth H, Gersie M, et al. Structured physical exercise improves neuropsychiatric symptoms in acute dementia care: a hospital-based RCT. Alzheimers Res Ther. 2017;9:68. doi: 10.1186/s13195-017-0289-z
4. Ballard C, Orrell M, YongZhong S, et al. Impact of antipsychotic review and nonpharmacological intervention on antipsychotic use, neuropsychiatric symptoms, and mortality in people with dementia living in nursing homes: a factorial cluster-randomized controlled trial by the Well-Being and Health for People With Dementia (WHELD) Program. Am J Psychiatry. 2016;173:252-262. doi: 10.1176/appi.ajp.2015.15010130
EVIDENCE-BASED ANSWER:
Not consistently. Physical exer- cise demonstrates inconsistent benefit for neuropsychiatric symptoms, including agitation, in patients with dementia (strength of recommendation: B, inconsistent meta-analyses, 2 small randomized controlled trials [RCTs]). The care setting and the modality, frequency, and duration of exercise varied across trials; the impact of these factors is not known.
Insomnia diagnosis and treatment across the lifespan
Insomnia disorder is common throughout the lifespan, affecting up to 22% of the population.1 Insomnia has a negative effect on patients’ quality of life and is associated with reported worse health-related quality of life, greater overall work impairment, and higher utilization of health care resources compared to patients without insomnia.2
Fortunately, many validated diagnostic tools are available to support physicians in the care of affected patients. In addition, many pharmacologic and nonpharmacologic treatment options exist. This review endeavors to help you refine the care you provide to patients across the lifespan by reviewing the evidence-based strategies for the diagnosis and treatment of insomnia in children, adolescents, and adults.
Defining insomnia
The Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) defines insomnia disorder as a predominant complaint of dissatisfaction with sleep quantity or quality, associated with 1 or more of the following3:
1. Difficulty initiating sleep. (In children, this may manifest as difficulty initiating sleep without caregiver intervention.)
2. Difficulty maintaining sleep, characterized by frequent awakenings or problems returning to sleep after awakenings. (In children, this may manifest as difficulty returning to sleep without caregiver intervention.)
3. Early-morning awakening with inability to return to sleep.
Sleep difficulty must be present for at least 3 months and must occur at least 3 nights per week to be classified as persistent insomnia.3 If symptoms last fewer than 3 months, insomnia is considered acute, which has a different DSM-5 code ("other specified insomnia disorder").3 Primary insomnia is its own diagnosis that cannot be defined by other sleep-wake cycle disorders, mental health conditions, or medical diagnoses that cause sleep disturbances, nor is it attributable to the physiologic effects of a substance (eg, substance use disorders, medication effects).3
The International Classification of Sleep Disorders, 3rd edition (ICSD-3) notably consolidates all insomnia diagnoses (ie, “primary” and “comorbid”) under a single diagnosis (“chronic insomnia disorder”), which is a distinction from the DSM-5 diagnosis in terms of classification.4 Diagnosis of insomnia requires the presence of 3 criteria: (1) persistence of sleep difficulty, (2) adequate opportunity for sleep, and (3) associated daytime dysfunction.5
How insomnia affects specific patient populations
Children and adolescents. Appropriate screening, diagnosis, and interventions for insomnia in children and adolescents are associated with better health outcomes, including improved attention, behavior, learning, memory, emotional regulation, quality of life, and mental and physical health.6 In one study of insomnia in the pediatric population (N = 1038), 41% of parents reported symptoms of sleep disturbances in their children.7 Pediatric insomnia can lead to impaired attention, poor academic performance, and behavioral disturbances.7 In addition, there is a high prevalence of sleep disturbances in children with neurodevelopmental disorders.8
Insomnia is the most prevalent sleep disorder in adolescents but frequently goes unrecognized, and therefore is underdiagnosed and undertreated.9 Insomnia in adolescents is associated with depression and suicidality.9-12 Growing evidence also links it to anorexia nervosa,13 substance use disorders,14 and impaired neurocognitive function.15
Continue to: Pregnant women
Pregnant women. Sleep disorders in pregnancy are common and influenced by multiple factors. A meta-analysis found that 57% to 74% of women in various trimesters of pregnancy reported subthreshold symptoms of insomnia16; however, changes in sleep duration and sleep quality during pregnancy may be related to hormonal, physiologic, metabolic, psychological, and posture mechanisms.17,18
Sleep quality also worsens as pregnancy progresses.16 Insomnia coupled with poor sleep quality has been shown to increase the risk for postpartum depression, premature delivery, prolonged labor, and cesarean delivery, as well as preeclampsia, gestational hypertension, stillbirth, and large-for-gestational-age infants.19,20
Older adults. Insomnia is a common complaint in the geriatric population and is associated with significant morbidity, as well as higher rates of depression and suicidality.21 Circadian rhythms change and sleep cycles advance as people age, leading to a decrease in total sleep time, earlier sleep onset, earlier awakenings,and increased frequency of waking after sleep onset.21,22 Advanced age, polypharmacy, and high medical comorbidity increase insomnia prevalence.23
Studies have shown that older adults who sleep fewer than 5 hours per night have an increased risk for diabetes and metabolic syndrome.21 Sleep loss also has been linked to increased rates of hypertension, coronary artery disease, myocardial infarction, and possibly stroke.21,22 Poor sleep has been associated with increased rates of cortical atrophy in community-dwelling older adults.21 Daytime drowsiness increases fall risk.22 Older adults with self-reported decreased physical function also had increased rates of insomnia and increased rates of daytime sleepiness.22
Making the diagnosis: What to ask, tools to use
Clinical evaluation is most helpful for diagnosing insomnia.24 A complete work-up includes physical examination, review of medications and supplements, evaluation of a 2-week sleep diary (kept by the patient, parent, or caregiver), and assessment using a validated sleep-quality rating scale.24 Be sure to obtain a complete health history, including medical events, substance use, and psychiatric history.24
Continue to: Inquire about sleep initiation...
Inquire about sleep initiation, sleep maintenance, and early awakening, as well as behavioral and environmental factors that may contribute to sleep concerns.10,18 Consider medical sleep disorders that have overlapping symptoms with insomnia, including obstructive sleep apnea (OSA), restless leg syndrome (RLS), or circadian rhythm sleep-wake disorders. If there are co-occurring chronic medical problems, reassess insomnia symptoms after the other medical diagnoses are controlled.
TABLE 125-29 includes a list of validated screening tools for insomnia and where they can be accessed. Recommended screening tools for children and adolescents include daytime sleepiness questionnaires, comprehensive sleep instruments, and self-assessments.25,30 Although several studies of insomnia in pregnancy have used tools listed in TABLE 1,25-29 only the Insomnia Severity Index has been validated for use with this population.26,27 Diagnosis of insomnia in older adults requires a comprehensive sleep history collected from the patient, partners, or caregivers.21
Measuring sleep performance
Several aspects of insomnia (defined in TABLE 231-33) are targeted as outcome measures when treating patients. Sleep-onset latency, total sleep time, and wake-after-sleep onset are all formally measured by polysomnography.31-33 Use polysomnography when you suspect OSA, narcolepsy, idiopathic hypersomnia, periodic limb movement disorder, RLS, REM behavior disorder (characterized by the loss of normal muscle atonia and dream enactment behavior that is violent in nature34), or parasomnias. Home polysomnography testing is appropriate for adult patients who meet criteria for OSA and have uncomplicated insomnia.35 Self-reporting (use of sleep logs) and actigraphy (measurement by wearable monitoring devices) may be more accessible methods for gathering sleep data from patients. Use of wearable consumer sleep technology such as heart rate monitors with corresponding smartphone applications (eg, Fitbit, Jawbone Up devices, and the Whoop device) are increasing as a means of monitoring sleep as well as delivering insomnia interventions.36
Actigraphy has been shown to produce significantly distinct results from self-reporting when measuring total sleep time, sleep-onset latency, wake-after-sleep onset, and sleep efficiency in adult and pediatric patients with insomnia.37 Actigraphy yields distinct estimates of sleep patterns when compared to sleep logs, which suggests that while both measures are often correlated, actigraphy has utility in assessing sleep continuity in conjunction with sleep logs in terms of diagnostic and posttreatment assessment.37
Continue to: Treatment options
Treatment options: Start with the nonpharmacologic
Both nonpharmacologic and pharmacologic interventions are available for the treatment of insomnia. Starting with nonpharmacologic options is preferred.
Nonpharmacologic interventions
Sleep hygiene. Poor sleep hygiene can contribute to insomnia but does not cause it.31 Healthy sleep habits include keeping the sleep environment quiet, free of interruptions, and at an adequate temperature; adhering to a regular sleep schedule; avoiding naps; going to bed when drowsy; getting out of bed if not asleep within 15 to 20 minutes and returning when drowsy; exercising regularly; and avoiding caffeine, nicotine, alcohol, and other substances that interfere with sleep.24 Technology use prior to bedtime is prevalent and associated with sleep and circadian rhythm disturbances.38
Sleep hygiene education is often insufficient on its own.31 But it has been shown to benefit older adults with insomnia.19,32
Sleep hygiene during pregnancy emphasizes drinking fluids only in the daytime to avoid awakening to urinate at night, avoiding specific foods to decrease heartburn, napping only in the early part of the day, and sleeping on either the left or the right side of the body with knees and hips bent and a pillow under pressure points in the second and third trimesters.18,39
Pediatric insomnia. Sleep hygiene is an important first-line treatment for pediatric insomnia, especially among children with attention-deficit/hyperactivity disorder.40
Continue to: CBT-I
Cognitive behavioral therapy for insomnia (CBT-I). US and European guidelines recommend CBT-I—a multicomponent, nonpharmacologic, insomnia-focused psychotherapy—as a first-line treatment for short- and long-term insomnia32,41,42 across a wide range of patient demographics.17,43-47 CBT-I is a multiweek intensive treatment that combines sleep hygiene practices with cognitive therapy and behavioral interventions, including stimulus control, sleep restriction, and relaxation training.32,48 CBT-I monotherapy has been shown to have greater efficacy than sleep hygiene education for patients with insomnia, especially for those with medical or psychiatric comorbidities.49 It also has been shown to be effective when delivered in person or even digitally.50-52 For example, CBT-I Coach is a mobile application for people who are already engaged in CBT-I with a health care provider; it provides a structured program to alleviate symptoms.53
Although CBT-I methods are appropriate for adolescents and school-aged children, evaluations of the efficacy of the individual components (stimulus control, arousal reduction, cognitive therapy, improved sleep hygiene practices, and sleep restriction) are needed to understand what methods are most effective in this population.9
Cognitive and/or behavioral Interventions. Cognitive therapy (to change negative thoughts about sleep) and behavioral interventions (eg, changes to sleep routines, sleep restriction, moving the child’s bedtime to match the time of falling asleep [bedtime fading],41 stimulus control)9,43,54-56 may be used independently. Separate meta-analyses support the use of cognitive and behavioral interventions for adolescent insomnia,9,43 school-aged children with insomnia and sleep difficulties,43,49 and adolescents with sleep difficulties and daytime fatigue.41 The trials for children and adolescents followed the same recommendations for treatment as CBT-I but often used fewer components of the treatment, resulting in focused cognitive or behavioral interventions.
One controlled evaluation showed support for separate cognitive and behavioral techniques for insomnia in children.54 A meta-analysis (6 studies; N = 529) found that total sleep time, as measured with actigraphy, improved among school-aged children and adolescents with insomnia after treatment with 4 or more types of cognitive or behavioral therapy sessions.43 Sleep-onset latency, measured by actigraphy and sleep diaries, decreased in the intervention group.43
A controlled evaluation of CBT for behavioral insomnia in school-aged children (N = 42) randomized participants to CBT (n = 21) or waitlist control (n = 21).54 The 6 CBT sessions combined behavioral sleep medicine techniques (ie, sleep restriction) with anxiety treatment techniques (eg, cognitive restructuring).54 Those in the intervention group showed statistically significant improvement in sleep latency, wake-after-sleep onset, and sleep efficiency (all P ≤ .003), compared with controls.54 Total sleep time was unaffected by the intervention. A notable change was the number of patients who still had an insomnia diagnosis postintervention. Among children in the CBT group, 14.3% met diagnostic criteria vs 95% of children in the control group.54 Similarly, at the 1-month follow-up, 9.5% of CBT group members still had insomnia, compared with 86.7% of the control group participants.54
Continue to: Multiple randomized and nonranomized studies...
Multiple randomized and nonrandomized studies have found that infants also respond to behavioral interventions, such as establishing regular daytime and sleep routines, reducing environmental noises or distractions, and allowing for self-soothing at bedtime.55 A controlled trial (N = 279) of newborns and their mothers evaluated sleep interventions that included guidance on bedtime sleep routines, starting the routine 30 to 45 minutes before bedtime, choosing age-appropriate calming bedtime activities, not using feeding as the last step before bedtime, and offering the child choices with their routine.56 The intervention group demonstrated longer sleep duration (624.6 ± 67.6 minutes vs 602.9 ± 76.1 minutes; P = .01) at 40 weeks postintervention compared with the control group.56
The clinically significant outcomes of this study are related to the guidance offered to parents to help infants achieve longer sleep. More intervention-group infants were allowed to self-soothe to sleep without being held or fed, had earlier bedtimes, and fell asleep ≤ 15 minutes after being put into bed than their counterparts in the control group.56
Exercise. As a sole intervention, exercise for insomnia is readily available and low cost, but it is not universally effective. One study of patients older than 60 years (N = 43) showed that a 16-week moderate exercise regimen slightly improved total sleep time by an average of 42 minutes (P = .05), sleep-onset latency improved an average of 11.5 minutes (P = .007), and global sleep quality improved by 3.4 points as measured by the Pittsburgh Sleep Quality Index (PSQI; P ≤ .01).57 No significant improvements occurred in sleep efficiency. Exercise is one of several nonpharmacologic alternatives for treating insomnia in pregnancy.58
A lack of uniformity in patient populations, intervention protocols, and outcome measures confounded results of 2 systematic reviews that included comparisons of yoga or tai chi as standalone alternatives to CBT-I for insomnia treatment.58,59 Other interventions, such as mindfulness or relaxation training, have been studied as insomnia interventions, but no conclusive evidence about their efficacy exists.45,59
Pharmacologic interventions
Pharmacologic treatment should not be the sole intervention for the treatment of insomnia but should be used in combination with nonpharmacologic interventions.32 Of note, only low-quality evidence exists for any pharmacologic interventions for insomnia.32 The decision to prescribe medications should rely on the predominant sleep complaint, with sleep maintenance and sleep-onset latency as the guiding factors.32 Medications used for insomnia treatment (TABLE 332,60,61)are classified according to these and other sleep outcomes described in TABLE 1.25-29 Prescribe them at the lowest dose and for the shortest amount of time possible.32,62 Avoid medications listed in TABLE 432,36,59,60,62-69 because data showing clinically significant improvements in insomnia are lacking, and analysis for potential harms is inadequate.32
Continue to: Melatonin is not recommended
Melatonin is not recommended for treating insomnia in adults, pregnant patients, older adults, or most children because its effects are clinically insignificant,32 residual sedation has been reported,60 and no analysis of harms has been undertaken.32 Despite this, melatonin is frequently utilized for insomnia, and patients take over-the-counter melatonin for a myriad of sleep complaints. Melatonin is indicated in the treatment of insomnia in children with neurodevelopmental disorders. (See discussion in "Prescribing for children.")
Hypnotics are medications licensed for short-term sleep promotion in adults and can induce tolerance and dependence.32 Nonbenzodiazepine-receptor agonists at clinical doses do not appear to suppress REM sleep, although there are reports of increases in latency to REM sleep.70
Antidepressants. Although treatment of insomnia with antidepressants is widespread, evidence of their efficacy is unclear.32,62 The tolerability and safety of antidepressants for insomnia also are uncertain due to limited reporting of adverse events.32
The use of sedating antidepressants may be driven by concern over the longer-term use of hypnotics and the limited availability of psychological treatments including CBT-I.32 Sedating antidepressants are indicated for comorbid or secondary insomnia (attributable to mental health conditions, medical conditions, other sleep disorders, or substance use or misuse); however, there are few clinical trials studying them for primary insomnia treatment.62 Antidepressants—tricyclic antidepressants included—can reduce the amount of REM sleep and increase REM sleep-onset latency.71,72
Antihistamines and antipsychotics. Although antihistamines (eg, hydroxyzine, diphenhydramine) and antipsychotics frequently are prescribed off-label for primary insomnia, there is a lack of evidence to support either type of medication for this purpose.36,62,73 H1-antihistamines such as hydroxyzine increase REM-onset latency and reduce the duration of REM sleep.73 Depending on the specific medication, second-generation antipsychotics such as olanzapine and quetiapine have mixed effects on REM sleep parameters.65
Continue to: Prescribing for children
Prescribing for children. There is no FDA-approved medication for the treatment of insomnia in children.52 However, melatonin has shown promising results for treating insomnia in children with neurodevelopmental disorders. A systematic review (13 trials; N = 682) with meta-analysis (9 studies; n = 541) showed that melatonin significantly improved total sleep time compared with placebo (mean difference [MD] = 48.26 minutes; 95% CI, 36.78-59.73).8 In 11 studies (n = 581), sleep-onset latency improved significantly with melatonin use.8 No difference was noted in the frequency of wake-after-sleep onset.8 No medication-related adverse events were reported. Heterogeneity (I2 = 31%) and inconsistency among included studies shed doubt on the findings; therefore, further research is needed.8
Prescribing in pregnancy. Prescribing medications to treat insomnia in pregnancy is complex and controversial. No consistency exists among guidelines and recommendations for treating insomnia in the pregnant population. Pharmacotherapy for insomnia is frequently prescribed off-label in pregnant patients. Examples include benzodiazepine-receptor agonists, antidepressants, and gamma-aminobutyric acid–reuptake inhibitors.45
Pharmacotherapy in pregnancy is a unique challenge, wherein clinicians consider not only the potential drug toxicity to the fetus but also the potential changes in the pregnant patient’s pharmacokinetics that influence appropriate medication doses.39,74 Worth noting: Zolpidem has been associated with preterm birth, cesarean birth, and low-birth-weight infants.45,74 The lack of clinical trials of pharmacotherapy in pregnant patients results in a limited understanding of medication effects on long-term health and safety outcomes in this population.39,74
A review of 3 studies with small sample sizes found that when antidepressants or antihistamines were taken during pregnancy, neither had significant adverse effects on mother or child.68 Weigh the risks of medications with the risk for disease burden and apply a shared decision-making approach with the patient, including providing an accurate assessment of risks and safety information regarding medication use.39 Online resources such as ReproTox (www.reprotox.org) and MotherToBaby (https://mothertobaby.org) are available to support clinicians treating pregnant and lactating patients.39
Prescribing for older adults. Treatment of insomnia in older adults requires a multifactorial approach.22 For all older adults, start interventions with nonpharmacologic treatments for insomnia followed by treatment of any underlying medical and psychiatric disorders that affect sleep.21 If medications are required, start with the lowest dose and titrate upward slowly. Use sedating low-dose antidepressants for insomnia only when the older patient has comorbid depression.60 Although nonbenzodiazepine-receptor agonists have improved safety profiles compared with benzodiazepines, their use for older adults should be limited because of adverse effects that include dementia, serious injury, and falls with fractures.60
Keep these points in mind
Poor sleep has many detrimental health effects and can significantly affect quality of life for patients across the lifespan. Use nonpharmacologic interventions—such as sleep hygiene education, CBT-I, and cognitive/behavioral therapies—as first-line treatments. When utilizing pharmacotherapy for insomnia, consider the patient’s distressing symptoms of insomnia as guideposts for prescribing. Use pharmacologic treatments intermittently, short term, and in conjunction with nonpharmacologic options.
CORRESPONDENCE
Angela L. Colistra, PhD, LPC, CAADC, CCS, 707 Hamilton Street, 8th floor, LVHN Department of Family Medicine, Allentown, PA 18101; [email protected]
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41. Baglioni C, Altena E, Bjorvatn B, et al. The European Academy for Cognitive Behavioural Therapy for Insomnia: an initiative of the European Insomnia Network to promote implementation and dissemination of treatment. J Sleep Res. 2019;29. doi: 10.1111/jsr.12967
42. Jernelöv S, Blom K, Hentati Isacsson N, et al. Very long-term outcome of cognitive behavioral therapy for insomnia: one- and ten-year follow-up of a randomized controlled trial. Cogn Behav Ther. 2022;51:72-88. doi: 10.1080/16506073.2021.2009019
43. Åslund L, Arnberg F, Kanstrup M, et al. Cognitive and behavioral interventions to improve sleep in school-age children and adolescents: a systematic review and meta-analysis. J Clin Sleep Med. 2018;14:1937-1947. doi: 10.5664/jcsm.7498
44. Manber R, Bei B, Simpson N, et al. Cognitive behavioral therapy for prenatal insomnia: a randomized controlled trial. Obstet Gynecol. 2019;133:911-919. doi: 10.1097/AOG.0000000000003216
45. Bacaro V, Benz F, Pappaccogli A, et al. Interventions for sleep problems during pregnancy: a systematic review. Sleep Med Rev. 2020;50:101234. doi: 10.1016/j.smrv.2019.101234
46. Hinrichsen GA, Leipzig RM. Efficacy of cognitive behavioral therapy for insomnia in geriatric primary care patients. J Am Geriatr Soc. 2021;69:2993-2995. doi: 10.1111/jgs.17319
47. Sadler P, McLaren S, Klein B, et al. Cognitive behavior therapy for older adults with insomnia and depression: a randomized controlled trial in community mental health services. Sleep. 2018;41:1-12. doi: 10.1093/sleep/zsy104
48. American Sleep Association. Cognitive behavioral therapy (CBT): treatment for insomnia. Accessed May 4, 2022. www.sleepassociation.org/sleep-treatments/cognitive-behavioral-therapy/#:~:text=Cognitive%20Behavioral%20Therapy%20for%20Insomnia%2C%20also%20known%20as
49. Zhou FC, Yang Y, Wang YY, et al. Cognitive behavioural therapy for insomnia monotherapy in patients with medical or psychiatric comorbidities: a meta-analysis of randomized controlled trials. Psychiatry Q. 2020;91:1209-1224. doi: 10.1007/s11126-020-09820-8
50. Cheng P, Luik AI, Fellman-Couture C, et al. Efficacy of digital CBT for insomnia to reduce depression across demographic groups: a randomized trial. Psychol Med. 2019;49:491-500. doi: 10.1017/S0033291718001113
51. Felder JN, Epel ES, Neuhaus J, et al. Efficacy of digital cognitive behavioral therapy for the treatment of insomnia symptoms among pregnant women: a randomized clinical trial. JAMA Psych. 2020;77:484-492. doi: 10.1001/jamapsychiatry.2019.4491
52. de Bruin EJ, Bögels SM, Oort FJ, et al. Improvements of adolescent psychopathology after insomnia treatment: results from a randomized controlled trial over 1 year. J Child Psychol Psych. 2018;59:509-522. doi: 10.1111/jcpp.12834
53. Hoffman JE, Taylor K, Manber R, et al. CBT-I Coach (version 1.0). [Mobile application software]. Accessed December 9, 2022. https://itunes.apple.com
54. Paine S, Gradisar M. A randomised controlled trial of cognitive-behaviour therapy for behavioural insomnia of childhood in school-aged children. Behav Res Ther. 2011;49:379-88. doi: 10.1016/j.brat.2011.03.008
55. Hungenberg M, Houss B, Narayan M, et al. Do behavioral interventions improve nighttime sleep in children < 1 year old? J Fam Pract. 2022;71:E16-E17. doi: 10.12788/jfp.0446
56. Paul IM, Savage JS, Anzman-Frasca S, et al. INSIGHT Responsive Parenting Intervention and Infant Sleep. Pediatrics. 2016;138:e20160762. doi: 10.1542/peds.2016-0762
57. Montgomery P, Dennis J. Physical exercise for sleep problems in adults aged 60+. Cochrane Database Syst Rev. 2002; 2002(4):CD003404. doi:10.1002/14651858.CD003404
58. Yang SY, Lan SJ, Yen YY, et al. Effects of exercise on sleep quality in pregnant women: a systematic review and meta-analysis of randomized controlled trials. Asian Nurs Res (Korean Soc Nurs Sci). 2020;14:1-10. doi: 10.1016/j.anr.2020.01.003
59. Wang F, Eun-Kyoung Lee O, Feng F, et al. The effect of meditative movement on sleep quality: a systematic review. Sleep Med Rev. 2016;30:43-52. doi: 10.1016/j.smrv.2015.12.001
60. Schroeck JL, Ford J, Conway EL, et al. Review of safety and efficacy of sleep medicines in older adults. Clin Ther. 2016;38:2340-2372. doi: 10.1016/j.clinthera.2016.09.010
61. Chiu HY, Lee HC, Liu JW, et al. Comparative efficacy and safety of hypnotics for insomnia in older adults: a systematic review and network meta-analysis. Sleep. 2021;44(5):zsaa260. doi: 10.1093/sleep/zsaa260
62. Atkin T, Comai S, Gobbi G. Drugs for insomnia beyond benzodiazepines: pharmacology, clinical applications, and discovery. Pharmacol Rev. 2018;70:197-245. doi: 10.1124/pr.117.014381
63. Karsten J, Hagenauw LA, Kamphuis J, et al. Low doses of mirtazapine or quetiapine for transient insomnia: a randomised, double-blind, cross-over, placebo-controlled trial. J Psychopharmacol. 2017;31:327-337. doi: 10.1177/0269881116681399
64. Yi X-Y, Ni S-F, Ghadami MR, et al. Trazodone for the treatment of insomnia: a meta-analysis of randomized placebo-controlled trials. Sleep Med. 2018;45:25-32. doi: 10.1016/j.sleep.2018.01.010
65. Monti JM, Torterolo P, Pandi Perumal SR. The effects of second generation antipsychotic drugs on sleep variables in healthy subjects and patients with schizophrenia. Sleep Med Rev. 2017;33:51-57. doi: 10.1016/j.smrv.2016.05.002
66. Krzystanek M, Krysta K, Pałasz A. First generation antihistaminic drugs used in the treatment of insomnia—superstitions and evidence. Pharmacother Psychiatry Neurol. 2020;36:33-40.
67. Amitriptyline hydrochloride. NIH US National Library of Medicine: DailyMed. Updated October 6, 2021. Accessed July 27, 2022. https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=a4d012a4-cd95-46c6-a6b7-b15d6fd5269d
68. Olanzapine. NIH US National Library of Medicine: DailyMed. Updated October 23, 2015. Accessed July 27, 2022. https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=e8626e68-088d-47ff-bf06-489a778815aa
69. Quetiapine extended release. NIH US National Library of Medicine: DailyMed. Updated January 28, 2021. Accessed July 27, 2022. https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=07e4f3f4-42cb-4b22-bf8d-8c3279d26e9
70. Roehrs T, Roth T. Drug-related sleep stage changes: functional significance and clinical relevance. Sleep Med Clin. 2010;5:559-570. doi: 10.1016/j.jsmc.2010.08.002
71. Wilson S, Argyropoulos S. Antidepressants and sleep: a qualitative review of the literature. Drugs. 2005;65:927-947. doi: 10.2165/00003495-200565070-00003
72. Winokur A, Gary KA, Rodner S, et al. Depression, sleep physiology, and antidepressant drugs. Depress Anxiety. 2001;14:19-28. doi: 10.1002/da.1043
73. Ozdemir PG, Karadag AS, Selvi Y, et al. Assessment of the effects of antihistamine drugs on mood, sleep quality, sleepiness, and dream anxiety. Int J Psychiatry Clin Pract. 2014;18:161-168. doi: 10.3109/13651501.2014.907919
74. Okun ML, Ebert R, Saini B. A review of sleep-promoting medications used in pregnancy. Am J Obstet Gynecol. 2015;212:428-441. doi:10.1016/j.ajog.2014.10.1106
Insomnia disorder is common throughout the lifespan, affecting up to 22% of the population.1 Insomnia has a negative effect on patients’ quality of life and is associated with reported worse health-related quality of life, greater overall work impairment, and higher utilization of health care resources compared to patients without insomnia.2
Fortunately, many validated diagnostic tools are available to support physicians in the care of affected patients. In addition, many pharmacologic and nonpharmacologic treatment options exist. This review endeavors to help you refine the care you provide to patients across the lifespan by reviewing the evidence-based strategies for the diagnosis and treatment of insomnia in children, adolescents, and adults.
Defining insomnia
The Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) defines insomnia disorder as a predominant complaint of dissatisfaction with sleep quantity or quality, associated with 1 or more of the following3:
1. Difficulty initiating sleep. (In children, this may manifest as difficulty initiating sleep without caregiver intervention.)
2. Difficulty maintaining sleep, characterized by frequent awakenings or problems returning to sleep after awakenings. (In children, this may manifest as difficulty returning to sleep without caregiver intervention.)
3. Early-morning awakening with inability to return to sleep.
Sleep difficulty must be present for at least 3 months and must occur at least 3 nights per week to be classified as persistent insomnia.3 If symptoms last fewer than 3 months, insomnia is considered acute, which has a different DSM-5 code ("other specified insomnia disorder").3 Primary insomnia is its own diagnosis that cannot be defined by other sleep-wake cycle disorders, mental health conditions, or medical diagnoses that cause sleep disturbances, nor is it attributable to the physiologic effects of a substance (eg, substance use disorders, medication effects).3
The International Classification of Sleep Disorders, 3rd edition (ICSD-3) notably consolidates all insomnia diagnoses (ie, “primary” and “comorbid”) under a single diagnosis (“chronic insomnia disorder”), which is a distinction from the DSM-5 diagnosis in terms of classification.4 Diagnosis of insomnia requires the presence of 3 criteria: (1) persistence of sleep difficulty, (2) adequate opportunity for sleep, and (3) associated daytime dysfunction.5
How insomnia affects specific patient populations
Children and adolescents. Appropriate screening, diagnosis, and interventions for insomnia in children and adolescents are associated with better health outcomes, including improved attention, behavior, learning, memory, emotional regulation, quality of life, and mental and physical health.6 In one study of insomnia in the pediatric population (N = 1038), 41% of parents reported symptoms of sleep disturbances in their children.7 Pediatric insomnia can lead to impaired attention, poor academic performance, and behavioral disturbances.7 In addition, there is a high prevalence of sleep disturbances in children with neurodevelopmental disorders.8
Insomnia is the most prevalent sleep disorder in adolescents but frequently goes unrecognized, and therefore is underdiagnosed and undertreated.9 Insomnia in adolescents is associated with depression and suicidality.9-12 Growing evidence also links it to anorexia nervosa,13 substance use disorders,14 and impaired neurocognitive function.15
Continue to: Pregnant women
Pregnant women. Sleep disorders in pregnancy are common and influenced by multiple factors. A meta-analysis found that 57% to 74% of women in various trimesters of pregnancy reported subthreshold symptoms of insomnia16; however, changes in sleep duration and sleep quality during pregnancy may be related to hormonal, physiologic, metabolic, psychological, and posture mechanisms.17,18
Sleep quality also worsens as pregnancy progresses.16 Insomnia coupled with poor sleep quality has been shown to increase the risk for postpartum depression, premature delivery, prolonged labor, and cesarean delivery, as well as preeclampsia, gestational hypertension, stillbirth, and large-for-gestational-age infants.19,20
Older adults. Insomnia is a common complaint in the geriatric population and is associated with significant morbidity, as well as higher rates of depression and suicidality.21 Circadian rhythms change and sleep cycles advance as people age, leading to a decrease in total sleep time, earlier sleep onset, earlier awakenings,and increased frequency of waking after sleep onset.21,22 Advanced age, polypharmacy, and high medical comorbidity increase insomnia prevalence.23
Studies have shown that older adults who sleep fewer than 5 hours per night have an increased risk for diabetes and metabolic syndrome.21 Sleep loss also has been linked to increased rates of hypertension, coronary artery disease, myocardial infarction, and possibly stroke.21,22 Poor sleep has been associated with increased rates of cortical atrophy in community-dwelling older adults.21 Daytime drowsiness increases fall risk.22 Older adults with self-reported decreased physical function also had increased rates of insomnia and increased rates of daytime sleepiness.22
Making the diagnosis: What to ask, tools to use
Clinical evaluation is most helpful for diagnosing insomnia.24 A complete work-up includes physical examination, review of medications and supplements, evaluation of a 2-week sleep diary (kept by the patient, parent, or caregiver), and assessment using a validated sleep-quality rating scale.24 Be sure to obtain a complete health history, including medical events, substance use, and psychiatric history.24
Continue to: Inquire about sleep initiation...
Inquire about sleep initiation, sleep maintenance, and early awakening, as well as behavioral and environmental factors that may contribute to sleep concerns.10,18 Consider medical sleep disorders that have overlapping symptoms with insomnia, including obstructive sleep apnea (OSA), restless leg syndrome (RLS), or circadian rhythm sleep-wake disorders. If there are co-occurring chronic medical problems, reassess insomnia symptoms after the other medical diagnoses are controlled.
TABLE 125-29 includes a list of validated screening tools for insomnia and where they can be accessed. Recommended screening tools for children and adolescents include daytime sleepiness questionnaires, comprehensive sleep instruments, and self-assessments.25,30 Although several studies of insomnia in pregnancy have used tools listed in TABLE 1,25-29 only the Insomnia Severity Index has been validated for use with this population.26,27 Diagnosis of insomnia in older adults requires a comprehensive sleep history collected from the patient, partners, or caregivers.21
Measuring sleep performance
Several aspects of insomnia (defined in TABLE 231-33) are targeted as outcome measures when treating patients. Sleep-onset latency, total sleep time, and wake-after-sleep onset are all formally measured by polysomnography.31-33 Use polysomnography when you suspect OSA, narcolepsy, idiopathic hypersomnia, periodic limb movement disorder, RLS, REM behavior disorder (characterized by the loss of normal muscle atonia and dream enactment behavior that is violent in nature34), or parasomnias. Home polysomnography testing is appropriate for adult patients who meet criteria for OSA and have uncomplicated insomnia.35 Self-reporting (use of sleep logs) and actigraphy (measurement by wearable monitoring devices) may be more accessible methods for gathering sleep data from patients. Use of wearable consumer sleep technology such as heart rate monitors with corresponding smartphone applications (eg, Fitbit, Jawbone Up devices, and the Whoop device) are increasing as a means of monitoring sleep as well as delivering insomnia interventions.36
Actigraphy has been shown to produce significantly distinct results from self-reporting when measuring total sleep time, sleep-onset latency, wake-after-sleep onset, and sleep efficiency in adult and pediatric patients with insomnia.37 Actigraphy yields distinct estimates of sleep patterns when compared to sleep logs, which suggests that while both measures are often correlated, actigraphy has utility in assessing sleep continuity in conjunction with sleep logs in terms of diagnostic and posttreatment assessment.37
Continue to: Treatment options
Treatment options: Start with the nonpharmacologic
Both nonpharmacologic and pharmacologic interventions are available for the treatment of insomnia. Starting with nonpharmacologic options is preferred.
Nonpharmacologic interventions
Sleep hygiene. Poor sleep hygiene can contribute to insomnia but does not cause it.31 Healthy sleep habits include keeping the sleep environment quiet, free of interruptions, and at an adequate temperature; adhering to a regular sleep schedule; avoiding naps; going to bed when drowsy; getting out of bed if not asleep within 15 to 20 minutes and returning when drowsy; exercising regularly; and avoiding caffeine, nicotine, alcohol, and other substances that interfere with sleep.24 Technology use prior to bedtime is prevalent and associated with sleep and circadian rhythm disturbances.38
Sleep hygiene education is often insufficient on its own.31 But it has been shown to benefit older adults with insomnia.19,32
Sleep hygiene during pregnancy emphasizes drinking fluids only in the daytime to avoid awakening to urinate at night, avoiding specific foods to decrease heartburn, napping only in the early part of the day, and sleeping on either the left or the right side of the body with knees and hips bent and a pillow under pressure points in the second and third trimesters.18,39
Pediatric insomnia. Sleep hygiene is an important first-line treatment for pediatric insomnia, especially among children with attention-deficit/hyperactivity disorder.40
Continue to: CBT-I
Cognitive behavioral therapy for insomnia (CBT-I). US and European guidelines recommend CBT-I—a multicomponent, nonpharmacologic, insomnia-focused psychotherapy—as a first-line treatment for short- and long-term insomnia32,41,42 across a wide range of patient demographics.17,43-47 CBT-I is a multiweek intensive treatment that combines sleep hygiene practices with cognitive therapy and behavioral interventions, including stimulus control, sleep restriction, and relaxation training.32,48 CBT-I monotherapy has been shown to have greater efficacy than sleep hygiene education for patients with insomnia, especially for those with medical or psychiatric comorbidities.49 It also has been shown to be effective when delivered in person or even digitally.50-52 For example, CBT-I Coach is a mobile application for people who are already engaged in CBT-I with a health care provider; it provides a structured program to alleviate symptoms.53
Although CBT-I methods are appropriate for adolescents and school-aged children, evaluations of the efficacy of the individual components (stimulus control, arousal reduction, cognitive therapy, improved sleep hygiene practices, and sleep restriction) are needed to understand what methods are most effective in this population.9
Cognitive and/or behavioral Interventions. Cognitive therapy (to change negative thoughts about sleep) and behavioral interventions (eg, changes to sleep routines, sleep restriction, moving the child’s bedtime to match the time of falling asleep [bedtime fading],41 stimulus control)9,43,54-56 may be used independently. Separate meta-analyses support the use of cognitive and behavioral interventions for adolescent insomnia,9,43 school-aged children with insomnia and sleep difficulties,43,49 and adolescents with sleep difficulties and daytime fatigue.41 The trials for children and adolescents followed the same recommendations for treatment as CBT-I but often used fewer components of the treatment, resulting in focused cognitive or behavioral interventions.
One controlled evaluation showed support for separate cognitive and behavioral techniques for insomnia in children.54 A meta-analysis (6 studies; N = 529) found that total sleep time, as measured with actigraphy, improved among school-aged children and adolescents with insomnia after treatment with 4 or more types of cognitive or behavioral therapy sessions.43 Sleep-onset latency, measured by actigraphy and sleep diaries, decreased in the intervention group.43
A controlled evaluation of CBT for behavioral insomnia in school-aged children (N = 42) randomized participants to CBT (n = 21) or waitlist control (n = 21).54 The 6 CBT sessions combined behavioral sleep medicine techniques (ie, sleep restriction) with anxiety treatment techniques (eg, cognitive restructuring).54 Those in the intervention group showed statistically significant improvement in sleep latency, wake-after-sleep onset, and sleep efficiency (all P ≤ .003), compared with controls.54 Total sleep time was unaffected by the intervention. A notable change was the number of patients who still had an insomnia diagnosis postintervention. Among children in the CBT group, 14.3% met diagnostic criteria vs 95% of children in the control group.54 Similarly, at the 1-month follow-up, 9.5% of CBT group members still had insomnia, compared with 86.7% of the control group participants.54
Continue to: Multiple randomized and nonranomized studies...
Multiple randomized and nonrandomized studies have found that infants also respond to behavioral interventions, such as establishing regular daytime and sleep routines, reducing environmental noises or distractions, and allowing for self-soothing at bedtime.55 A controlled trial (N = 279) of newborns and their mothers evaluated sleep interventions that included guidance on bedtime sleep routines, starting the routine 30 to 45 minutes before bedtime, choosing age-appropriate calming bedtime activities, not using feeding as the last step before bedtime, and offering the child choices with their routine.56 The intervention group demonstrated longer sleep duration (624.6 ± 67.6 minutes vs 602.9 ± 76.1 minutes; P = .01) at 40 weeks postintervention compared with the control group.56
The clinically significant outcomes of this study are related to the guidance offered to parents to help infants achieve longer sleep. More intervention-group infants were allowed to self-soothe to sleep without being held or fed, had earlier bedtimes, and fell asleep ≤ 15 minutes after being put into bed than their counterparts in the control group.56
Exercise. As a sole intervention, exercise for insomnia is readily available and low cost, but it is not universally effective. One study of patients older than 60 years (N = 43) showed that a 16-week moderate exercise regimen slightly improved total sleep time by an average of 42 minutes (P = .05), sleep-onset latency improved an average of 11.5 minutes (P = .007), and global sleep quality improved by 3.4 points as measured by the Pittsburgh Sleep Quality Index (PSQI; P ≤ .01).57 No significant improvements occurred in sleep efficiency. Exercise is one of several nonpharmacologic alternatives for treating insomnia in pregnancy.58
A lack of uniformity in patient populations, intervention protocols, and outcome measures confounded results of 2 systematic reviews that included comparisons of yoga or tai chi as standalone alternatives to CBT-I for insomnia treatment.58,59 Other interventions, such as mindfulness or relaxation training, have been studied as insomnia interventions, but no conclusive evidence about their efficacy exists.45,59
Pharmacologic interventions
Pharmacologic treatment should not be the sole intervention for the treatment of insomnia but should be used in combination with nonpharmacologic interventions.32 Of note, only low-quality evidence exists for any pharmacologic interventions for insomnia.32 The decision to prescribe medications should rely on the predominant sleep complaint, with sleep maintenance and sleep-onset latency as the guiding factors.32 Medications used for insomnia treatment (TABLE 332,60,61)are classified according to these and other sleep outcomes described in TABLE 1.25-29 Prescribe them at the lowest dose and for the shortest amount of time possible.32,62 Avoid medications listed in TABLE 432,36,59,60,62-69 because data showing clinically significant improvements in insomnia are lacking, and analysis for potential harms is inadequate.32
Continue to: Melatonin is not recommended
Melatonin is not recommended for treating insomnia in adults, pregnant patients, older adults, or most children because its effects are clinically insignificant,32 residual sedation has been reported,60 and no analysis of harms has been undertaken.32 Despite this, melatonin is frequently utilized for insomnia, and patients take over-the-counter melatonin for a myriad of sleep complaints. Melatonin is indicated in the treatment of insomnia in children with neurodevelopmental disorders. (See discussion in "Prescribing for children.")
Hypnotics are medications licensed for short-term sleep promotion in adults and can induce tolerance and dependence.32 Nonbenzodiazepine-receptor agonists at clinical doses do not appear to suppress REM sleep, although there are reports of increases in latency to REM sleep.70
Antidepressants. Although treatment of insomnia with antidepressants is widespread, evidence of their efficacy is unclear.32,62 The tolerability and safety of antidepressants for insomnia also are uncertain due to limited reporting of adverse events.32
The use of sedating antidepressants may be driven by concern over the longer-term use of hypnotics and the limited availability of psychological treatments including CBT-I.32 Sedating antidepressants are indicated for comorbid or secondary insomnia (attributable to mental health conditions, medical conditions, other sleep disorders, or substance use or misuse); however, there are few clinical trials studying them for primary insomnia treatment.62 Antidepressants—tricyclic antidepressants included—can reduce the amount of REM sleep and increase REM sleep-onset latency.71,72
Antihistamines and antipsychotics. Although antihistamines (eg, hydroxyzine, diphenhydramine) and antipsychotics frequently are prescribed off-label for primary insomnia, there is a lack of evidence to support either type of medication for this purpose.36,62,73 H1-antihistamines such as hydroxyzine increase REM-onset latency and reduce the duration of REM sleep.73 Depending on the specific medication, second-generation antipsychotics such as olanzapine and quetiapine have mixed effects on REM sleep parameters.65
Continue to: Prescribing for children
Prescribing for children. There is no FDA-approved medication for the treatment of insomnia in children.52 However, melatonin has shown promising results for treating insomnia in children with neurodevelopmental disorders. A systematic review (13 trials; N = 682) with meta-analysis (9 studies; n = 541) showed that melatonin significantly improved total sleep time compared with placebo (mean difference [MD] = 48.26 minutes; 95% CI, 36.78-59.73).8 In 11 studies (n = 581), sleep-onset latency improved significantly with melatonin use.8 No difference was noted in the frequency of wake-after-sleep onset.8 No medication-related adverse events were reported. Heterogeneity (I2 = 31%) and inconsistency among included studies shed doubt on the findings; therefore, further research is needed.8
Prescribing in pregnancy. Prescribing medications to treat insomnia in pregnancy is complex and controversial. No consistency exists among guidelines and recommendations for treating insomnia in the pregnant population. Pharmacotherapy for insomnia is frequently prescribed off-label in pregnant patients. Examples include benzodiazepine-receptor agonists, antidepressants, and gamma-aminobutyric acid–reuptake inhibitors.45
Pharmacotherapy in pregnancy is a unique challenge, wherein clinicians consider not only the potential drug toxicity to the fetus but also the potential changes in the pregnant patient’s pharmacokinetics that influence appropriate medication doses.39,74 Worth noting: Zolpidem has been associated with preterm birth, cesarean birth, and low-birth-weight infants.45,74 The lack of clinical trials of pharmacotherapy in pregnant patients results in a limited understanding of medication effects on long-term health and safety outcomes in this population.39,74
A review of 3 studies with small sample sizes found that when antidepressants or antihistamines were taken during pregnancy, neither had significant adverse effects on mother or child.68 Weigh the risks of medications with the risk for disease burden and apply a shared decision-making approach with the patient, including providing an accurate assessment of risks and safety information regarding medication use.39 Online resources such as ReproTox (www.reprotox.org) and MotherToBaby (https://mothertobaby.org) are available to support clinicians treating pregnant and lactating patients.39
Prescribing for older adults. Treatment of insomnia in older adults requires a multifactorial approach.22 For all older adults, start interventions with nonpharmacologic treatments for insomnia followed by treatment of any underlying medical and psychiatric disorders that affect sleep.21 If medications are required, start with the lowest dose and titrate upward slowly. Use sedating low-dose antidepressants for insomnia only when the older patient has comorbid depression.60 Although nonbenzodiazepine-receptor agonists have improved safety profiles compared with benzodiazepines, their use for older adults should be limited because of adverse effects that include dementia, serious injury, and falls with fractures.60
Keep these points in mind
Poor sleep has many detrimental health effects and can significantly affect quality of life for patients across the lifespan. Use nonpharmacologic interventions—such as sleep hygiene education, CBT-I, and cognitive/behavioral therapies—as first-line treatments. When utilizing pharmacotherapy for insomnia, consider the patient’s distressing symptoms of insomnia as guideposts for prescribing. Use pharmacologic treatments intermittently, short term, and in conjunction with nonpharmacologic options.
CORRESPONDENCE
Angela L. Colistra, PhD, LPC, CAADC, CCS, 707 Hamilton Street, 8th floor, LVHN Department of Family Medicine, Allentown, PA 18101; [email protected]
Insomnia disorder is common throughout the lifespan, affecting up to 22% of the population.1 Insomnia has a negative effect on patients’ quality of life and is associated with reported worse health-related quality of life, greater overall work impairment, and higher utilization of health care resources compared to patients without insomnia.2
Fortunately, many validated diagnostic tools are available to support physicians in the care of affected patients. In addition, many pharmacologic and nonpharmacologic treatment options exist. This review endeavors to help you refine the care you provide to patients across the lifespan by reviewing the evidence-based strategies for the diagnosis and treatment of insomnia in children, adolescents, and adults.
Defining insomnia
The Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) defines insomnia disorder as a predominant complaint of dissatisfaction with sleep quantity or quality, associated with 1 or more of the following3:
1. Difficulty initiating sleep. (In children, this may manifest as difficulty initiating sleep without caregiver intervention.)
2. Difficulty maintaining sleep, characterized by frequent awakenings or problems returning to sleep after awakenings. (In children, this may manifest as difficulty returning to sleep without caregiver intervention.)
3. Early-morning awakening with inability to return to sleep.
Sleep difficulty must be present for at least 3 months and must occur at least 3 nights per week to be classified as persistent insomnia.3 If symptoms last fewer than 3 months, insomnia is considered acute, which has a different DSM-5 code ("other specified insomnia disorder").3 Primary insomnia is its own diagnosis that cannot be defined by other sleep-wake cycle disorders, mental health conditions, or medical diagnoses that cause sleep disturbances, nor is it attributable to the physiologic effects of a substance (eg, substance use disorders, medication effects).3
The International Classification of Sleep Disorders, 3rd edition (ICSD-3) notably consolidates all insomnia diagnoses (ie, “primary” and “comorbid”) under a single diagnosis (“chronic insomnia disorder”), which is a distinction from the DSM-5 diagnosis in terms of classification.4 Diagnosis of insomnia requires the presence of 3 criteria: (1) persistence of sleep difficulty, (2) adequate opportunity for sleep, and (3) associated daytime dysfunction.5
How insomnia affects specific patient populations
Children and adolescents. Appropriate screening, diagnosis, and interventions for insomnia in children and adolescents are associated with better health outcomes, including improved attention, behavior, learning, memory, emotional regulation, quality of life, and mental and physical health.6 In one study of insomnia in the pediatric population (N = 1038), 41% of parents reported symptoms of sleep disturbances in their children.7 Pediatric insomnia can lead to impaired attention, poor academic performance, and behavioral disturbances.7 In addition, there is a high prevalence of sleep disturbances in children with neurodevelopmental disorders.8
Insomnia is the most prevalent sleep disorder in adolescents but frequently goes unrecognized, and therefore is underdiagnosed and undertreated.9 Insomnia in adolescents is associated with depression and suicidality.9-12 Growing evidence also links it to anorexia nervosa,13 substance use disorders,14 and impaired neurocognitive function.15
Continue to: Pregnant women
Pregnant women. Sleep disorders in pregnancy are common and influenced by multiple factors. A meta-analysis found that 57% to 74% of women in various trimesters of pregnancy reported subthreshold symptoms of insomnia16; however, changes in sleep duration and sleep quality during pregnancy may be related to hormonal, physiologic, metabolic, psychological, and posture mechanisms.17,18
Sleep quality also worsens as pregnancy progresses.16 Insomnia coupled with poor sleep quality has been shown to increase the risk for postpartum depression, premature delivery, prolonged labor, and cesarean delivery, as well as preeclampsia, gestational hypertension, stillbirth, and large-for-gestational-age infants.19,20
Older adults. Insomnia is a common complaint in the geriatric population and is associated with significant morbidity, as well as higher rates of depression and suicidality.21 Circadian rhythms change and sleep cycles advance as people age, leading to a decrease in total sleep time, earlier sleep onset, earlier awakenings,and increased frequency of waking after sleep onset.21,22 Advanced age, polypharmacy, and high medical comorbidity increase insomnia prevalence.23
Studies have shown that older adults who sleep fewer than 5 hours per night have an increased risk for diabetes and metabolic syndrome.21 Sleep loss also has been linked to increased rates of hypertension, coronary artery disease, myocardial infarction, and possibly stroke.21,22 Poor sleep has been associated with increased rates of cortical atrophy in community-dwelling older adults.21 Daytime drowsiness increases fall risk.22 Older adults with self-reported decreased physical function also had increased rates of insomnia and increased rates of daytime sleepiness.22
Making the diagnosis: What to ask, tools to use
Clinical evaluation is most helpful for diagnosing insomnia.24 A complete work-up includes physical examination, review of medications and supplements, evaluation of a 2-week sleep diary (kept by the patient, parent, or caregiver), and assessment using a validated sleep-quality rating scale.24 Be sure to obtain a complete health history, including medical events, substance use, and psychiatric history.24
Continue to: Inquire about sleep initiation...
Inquire about sleep initiation, sleep maintenance, and early awakening, as well as behavioral and environmental factors that may contribute to sleep concerns.10,18 Consider medical sleep disorders that have overlapping symptoms with insomnia, including obstructive sleep apnea (OSA), restless leg syndrome (RLS), or circadian rhythm sleep-wake disorders. If there are co-occurring chronic medical problems, reassess insomnia symptoms after the other medical diagnoses are controlled.
TABLE 125-29 includes a list of validated screening tools for insomnia and where they can be accessed. Recommended screening tools for children and adolescents include daytime sleepiness questionnaires, comprehensive sleep instruments, and self-assessments.25,30 Although several studies of insomnia in pregnancy have used tools listed in TABLE 1,25-29 only the Insomnia Severity Index has been validated for use with this population.26,27 Diagnosis of insomnia in older adults requires a comprehensive sleep history collected from the patient, partners, or caregivers.21
Measuring sleep performance
Several aspects of insomnia (defined in TABLE 231-33) are targeted as outcome measures when treating patients. Sleep-onset latency, total sleep time, and wake-after-sleep onset are all formally measured by polysomnography.31-33 Use polysomnography when you suspect OSA, narcolepsy, idiopathic hypersomnia, periodic limb movement disorder, RLS, REM behavior disorder (characterized by the loss of normal muscle atonia and dream enactment behavior that is violent in nature34), or parasomnias. Home polysomnography testing is appropriate for adult patients who meet criteria for OSA and have uncomplicated insomnia.35 Self-reporting (use of sleep logs) and actigraphy (measurement by wearable monitoring devices) may be more accessible methods for gathering sleep data from patients. Use of wearable consumer sleep technology such as heart rate monitors with corresponding smartphone applications (eg, Fitbit, Jawbone Up devices, and the Whoop device) are increasing as a means of monitoring sleep as well as delivering insomnia interventions.36
Actigraphy has been shown to produce significantly distinct results from self-reporting when measuring total sleep time, sleep-onset latency, wake-after-sleep onset, and sleep efficiency in adult and pediatric patients with insomnia.37 Actigraphy yields distinct estimates of sleep patterns when compared to sleep logs, which suggests that while both measures are often correlated, actigraphy has utility in assessing sleep continuity in conjunction with sleep logs in terms of diagnostic and posttreatment assessment.37
Continue to: Treatment options
Treatment options: Start with the nonpharmacologic
Both nonpharmacologic and pharmacologic interventions are available for the treatment of insomnia. Starting with nonpharmacologic options is preferred.
Nonpharmacologic interventions
Sleep hygiene. Poor sleep hygiene can contribute to insomnia but does not cause it.31 Healthy sleep habits include keeping the sleep environment quiet, free of interruptions, and at an adequate temperature; adhering to a regular sleep schedule; avoiding naps; going to bed when drowsy; getting out of bed if not asleep within 15 to 20 minutes and returning when drowsy; exercising regularly; and avoiding caffeine, nicotine, alcohol, and other substances that interfere with sleep.24 Technology use prior to bedtime is prevalent and associated with sleep and circadian rhythm disturbances.38
Sleep hygiene education is often insufficient on its own.31 But it has been shown to benefit older adults with insomnia.19,32
Sleep hygiene during pregnancy emphasizes drinking fluids only in the daytime to avoid awakening to urinate at night, avoiding specific foods to decrease heartburn, napping only in the early part of the day, and sleeping on either the left or the right side of the body with knees and hips bent and a pillow under pressure points in the second and third trimesters.18,39
Pediatric insomnia. Sleep hygiene is an important first-line treatment for pediatric insomnia, especially among children with attention-deficit/hyperactivity disorder.40
Continue to: CBT-I
Cognitive behavioral therapy for insomnia (CBT-I). US and European guidelines recommend CBT-I—a multicomponent, nonpharmacologic, insomnia-focused psychotherapy—as a first-line treatment for short- and long-term insomnia32,41,42 across a wide range of patient demographics.17,43-47 CBT-I is a multiweek intensive treatment that combines sleep hygiene practices with cognitive therapy and behavioral interventions, including stimulus control, sleep restriction, and relaxation training.32,48 CBT-I monotherapy has been shown to have greater efficacy than sleep hygiene education for patients with insomnia, especially for those with medical or psychiatric comorbidities.49 It also has been shown to be effective when delivered in person or even digitally.50-52 For example, CBT-I Coach is a mobile application for people who are already engaged in CBT-I with a health care provider; it provides a structured program to alleviate symptoms.53
Although CBT-I methods are appropriate for adolescents and school-aged children, evaluations of the efficacy of the individual components (stimulus control, arousal reduction, cognitive therapy, improved sleep hygiene practices, and sleep restriction) are needed to understand what methods are most effective in this population.9
Cognitive and/or behavioral Interventions. Cognitive therapy (to change negative thoughts about sleep) and behavioral interventions (eg, changes to sleep routines, sleep restriction, moving the child’s bedtime to match the time of falling asleep [bedtime fading],41 stimulus control)9,43,54-56 may be used independently. Separate meta-analyses support the use of cognitive and behavioral interventions for adolescent insomnia,9,43 school-aged children with insomnia and sleep difficulties,43,49 and adolescents with sleep difficulties and daytime fatigue.41 The trials for children and adolescents followed the same recommendations for treatment as CBT-I but often used fewer components of the treatment, resulting in focused cognitive or behavioral interventions.
One controlled evaluation showed support for separate cognitive and behavioral techniques for insomnia in children.54 A meta-analysis (6 studies; N = 529) found that total sleep time, as measured with actigraphy, improved among school-aged children and adolescents with insomnia after treatment with 4 or more types of cognitive or behavioral therapy sessions.43 Sleep-onset latency, measured by actigraphy and sleep diaries, decreased in the intervention group.43
A controlled evaluation of CBT for behavioral insomnia in school-aged children (N = 42) randomized participants to CBT (n = 21) or waitlist control (n = 21).54 The 6 CBT sessions combined behavioral sleep medicine techniques (ie, sleep restriction) with anxiety treatment techniques (eg, cognitive restructuring).54 Those in the intervention group showed statistically significant improvement in sleep latency, wake-after-sleep onset, and sleep efficiency (all P ≤ .003), compared with controls.54 Total sleep time was unaffected by the intervention. A notable change was the number of patients who still had an insomnia diagnosis postintervention. Among children in the CBT group, 14.3% met diagnostic criteria vs 95% of children in the control group.54 Similarly, at the 1-month follow-up, 9.5% of CBT group members still had insomnia, compared with 86.7% of the control group participants.54
Continue to: Multiple randomized and nonranomized studies...
Multiple randomized and nonrandomized studies have found that infants also respond to behavioral interventions, such as establishing regular daytime and sleep routines, reducing environmental noises or distractions, and allowing for self-soothing at bedtime.55 A controlled trial (N = 279) of newborns and their mothers evaluated sleep interventions that included guidance on bedtime sleep routines, starting the routine 30 to 45 minutes before bedtime, choosing age-appropriate calming bedtime activities, not using feeding as the last step before bedtime, and offering the child choices with their routine.56 The intervention group demonstrated longer sleep duration (624.6 ± 67.6 minutes vs 602.9 ± 76.1 minutes; P = .01) at 40 weeks postintervention compared with the control group.56
The clinically significant outcomes of this study are related to the guidance offered to parents to help infants achieve longer sleep. More intervention-group infants were allowed to self-soothe to sleep without being held or fed, had earlier bedtimes, and fell asleep ≤ 15 minutes after being put into bed than their counterparts in the control group.56
Exercise. As a sole intervention, exercise for insomnia is readily available and low cost, but it is not universally effective. One study of patients older than 60 years (N = 43) showed that a 16-week moderate exercise regimen slightly improved total sleep time by an average of 42 minutes (P = .05), sleep-onset latency improved an average of 11.5 minutes (P = .007), and global sleep quality improved by 3.4 points as measured by the Pittsburgh Sleep Quality Index (PSQI; P ≤ .01).57 No significant improvements occurred in sleep efficiency. Exercise is one of several nonpharmacologic alternatives for treating insomnia in pregnancy.58
A lack of uniformity in patient populations, intervention protocols, and outcome measures confounded results of 2 systematic reviews that included comparisons of yoga or tai chi as standalone alternatives to CBT-I for insomnia treatment.58,59 Other interventions, such as mindfulness or relaxation training, have been studied as insomnia interventions, but no conclusive evidence about their efficacy exists.45,59
Pharmacologic interventions
Pharmacologic treatment should not be the sole intervention for the treatment of insomnia but should be used in combination with nonpharmacologic interventions.32 Of note, only low-quality evidence exists for any pharmacologic interventions for insomnia.32 The decision to prescribe medications should rely on the predominant sleep complaint, with sleep maintenance and sleep-onset latency as the guiding factors.32 Medications used for insomnia treatment (TABLE 332,60,61)are classified according to these and other sleep outcomes described in TABLE 1.25-29 Prescribe them at the lowest dose and for the shortest amount of time possible.32,62 Avoid medications listed in TABLE 432,36,59,60,62-69 because data showing clinically significant improvements in insomnia are lacking, and analysis for potential harms is inadequate.32
Continue to: Melatonin is not recommended
Melatonin is not recommended for treating insomnia in adults, pregnant patients, older adults, or most children because its effects are clinically insignificant,32 residual sedation has been reported,60 and no analysis of harms has been undertaken.32 Despite this, melatonin is frequently utilized for insomnia, and patients take over-the-counter melatonin for a myriad of sleep complaints. Melatonin is indicated in the treatment of insomnia in children with neurodevelopmental disorders. (See discussion in "Prescribing for children.")
Hypnotics are medications licensed for short-term sleep promotion in adults and can induce tolerance and dependence.32 Nonbenzodiazepine-receptor agonists at clinical doses do not appear to suppress REM sleep, although there are reports of increases in latency to REM sleep.70
Antidepressants. Although treatment of insomnia with antidepressants is widespread, evidence of their efficacy is unclear.32,62 The tolerability and safety of antidepressants for insomnia also are uncertain due to limited reporting of adverse events.32
The use of sedating antidepressants may be driven by concern over the longer-term use of hypnotics and the limited availability of psychological treatments including CBT-I.32 Sedating antidepressants are indicated for comorbid or secondary insomnia (attributable to mental health conditions, medical conditions, other sleep disorders, or substance use or misuse); however, there are few clinical trials studying them for primary insomnia treatment.62 Antidepressants—tricyclic antidepressants included—can reduce the amount of REM sleep and increase REM sleep-onset latency.71,72
Antihistamines and antipsychotics. Although antihistamines (eg, hydroxyzine, diphenhydramine) and antipsychotics frequently are prescribed off-label for primary insomnia, there is a lack of evidence to support either type of medication for this purpose.36,62,73 H1-antihistamines such as hydroxyzine increase REM-onset latency and reduce the duration of REM sleep.73 Depending on the specific medication, second-generation antipsychotics such as olanzapine and quetiapine have mixed effects on REM sleep parameters.65
Continue to: Prescribing for children
Prescribing for children. There is no FDA-approved medication for the treatment of insomnia in children.52 However, melatonin has shown promising results for treating insomnia in children with neurodevelopmental disorders. A systematic review (13 trials; N = 682) with meta-analysis (9 studies; n = 541) showed that melatonin significantly improved total sleep time compared with placebo (mean difference [MD] = 48.26 minutes; 95% CI, 36.78-59.73).8 In 11 studies (n = 581), sleep-onset latency improved significantly with melatonin use.8 No difference was noted in the frequency of wake-after-sleep onset.8 No medication-related adverse events were reported. Heterogeneity (I2 = 31%) and inconsistency among included studies shed doubt on the findings; therefore, further research is needed.8
Prescribing in pregnancy. Prescribing medications to treat insomnia in pregnancy is complex and controversial. No consistency exists among guidelines and recommendations for treating insomnia in the pregnant population. Pharmacotherapy for insomnia is frequently prescribed off-label in pregnant patients. Examples include benzodiazepine-receptor agonists, antidepressants, and gamma-aminobutyric acid–reuptake inhibitors.45
Pharmacotherapy in pregnancy is a unique challenge, wherein clinicians consider not only the potential drug toxicity to the fetus but also the potential changes in the pregnant patient’s pharmacokinetics that influence appropriate medication doses.39,74 Worth noting: Zolpidem has been associated with preterm birth, cesarean birth, and low-birth-weight infants.45,74 The lack of clinical trials of pharmacotherapy in pregnant patients results in a limited understanding of medication effects on long-term health and safety outcomes in this population.39,74
A review of 3 studies with small sample sizes found that when antidepressants or antihistamines were taken during pregnancy, neither had significant adverse effects on mother or child.68 Weigh the risks of medications with the risk for disease burden and apply a shared decision-making approach with the patient, including providing an accurate assessment of risks and safety information regarding medication use.39 Online resources such as ReproTox (www.reprotox.org) and MotherToBaby (https://mothertobaby.org) are available to support clinicians treating pregnant and lactating patients.39
Prescribing for older adults. Treatment of insomnia in older adults requires a multifactorial approach.22 For all older adults, start interventions with nonpharmacologic treatments for insomnia followed by treatment of any underlying medical and psychiatric disorders that affect sleep.21 If medications are required, start with the lowest dose and titrate upward slowly. Use sedating low-dose antidepressants for insomnia only when the older patient has comorbid depression.60 Although nonbenzodiazepine-receptor agonists have improved safety profiles compared with benzodiazepines, their use for older adults should be limited because of adverse effects that include dementia, serious injury, and falls with fractures.60
Keep these points in mind
Poor sleep has many detrimental health effects and can significantly affect quality of life for patients across the lifespan. Use nonpharmacologic interventions—such as sleep hygiene education, CBT-I, and cognitive/behavioral therapies—as first-line treatments. When utilizing pharmacotherapy for insomnia, consider the patient’s distressing symptoms of insomnia as guideposts for prescribing. Use pharmacologic treatments intermittently, short term, and in conjunction with nonpharmacologic options.
CORRESPONDENCE
Angela L. Colistra, PhD, LPC, CAADC, CCS, 707 Hamilton Street, 8th floor, LVHN Department of Family Medicine, Allentown, PA 18101; [email protected]
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1. Roth T, Coulouvrat C, Hajak G, et al. Prevalence and perceived health associated with insomnia based on DSM-IV-TR; International Statistical Classification of Diseases and Related Health Problems, Tenth Revision; and Research Diagnostic Criteria/International Classification of Sleep Disorders, Second Edition criteria: results from the America Insomnia Survey. Biol Psychiatry. 2011;69:592-600. doi: 10.1016/j.biopsych.2010.10.023
2. DiBonaventura M, Richard L, Kumar M, et al. The association between insomnia and insomnia treatment side effects on health Status, work productivity, and healthcare resource use. PloS One. 2015;10:e0137117. doi: 10.1371/journal.pone.0137117
3. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. American Psychiatric Association; 2013: 362-368.
4. Sateia MJ. International classification of sleep disorders—third edition: highlights and modifications. Chest. 2014;146:1387-1394. doi: 10.1378/chest.14-0970
5. American Academy of Sleep Medicine. International Classification of Sleep Disorders. American Academy of Sleep Medicine, 3d ed; 2014.
6. Paruthi S, Brooks LJ, D’Ambrosio C, et al. Recommended amount of sleep for pediatric populations: a consensus statement of the American Academy of Sleep Medicine. J Clin Sleep Med. 2016;12:785-786. doi: 10.5664/jcsm.5866
7. Archbold KH, Pituch KJ, Panahi P, et al. Symptoms of sleep disturbances among children at two general pediatric clinics. J Pediatr. 2002;140:97-102. doi: 10.1067/mpd.2002.119990
8. Abdelgadir IS, Gordon MA, Akobeng AK. Melatonin for the management of sleep problems in children with neurodevelopmental disorders: a systematic review and meta-analysis. Arch Dis Child. 2018;103:1155-1162. doi: 10.1136/archdischild-2017-314181
9. de Zambotti M, Goldstone A, Colrain IM, et al. Insomnia disorder in adolescence: diagnosis, impact, and treatment. Sleep Med Rev. 2018;39:12-24. doi: 10.1016/j.smrv.2017.06.009
10. Roberts RE, Duong HT. Depression and insomnia among adolescents: a prospective perspective. J Affect Disord. 2013;148:66-71. doi: 10.1016/j.jad.2012.11.049
11. Sivertsen B, Harvey AG, Lundervold AJ, et al. Sleep problems and depression in adolescence: results from a large population-based study of Norwegian adolescents aged 16-18 years. Eur Child Adolesc Psychiatry. 2014;23:681-689. doi: 10.1007/s00787-013-0502-y
12. Alvaro PK, Roberts RM, Harris JK, et al. The direction of the relationship between symptoms of insomnia and psychiatric disorders in adolescents. J Affect Disord. 2017;207:167-174. doi: 10.1016/j.jad.2016.08.032
13. Allison KC, Spaeth A, Hopkins CM. Sleep and eating disorders. Curr Psychiatry Rep. 2016;18:92. doi: 10.1007/s11920-016-0728-8
14. Johnston LD, O’Malley PM, Miech RA, et al. Monitoring the Future: National Results on Drug Use: 1975-2013. Institute for Social Research, The University of Michigan; 2014.
15. Kuula L, Pesonen AK, Martikainen S, et al. Poor sleep and neurocognitive function in early adolescence. Sleep Med. 2015;16:1207-1212. doi: 10.1016/j.sleep.2015.06.017
16. Sedov ID, Anderson NJ, Dhillon AK. Insomnia symptoms during pregnancy: a meta-analysis. J Sleep Res. 2021;30:e13207. doi: 10.1111/jsr.13207
17. Oyiengo D, Louis M, Hott B, et al. Sleep disorders in pregnancy. Clin Chest Med. 2014;35:571-587. doi: 10.1016/j.ccm.2014.06.012
18. Hashmi AM, Bhatia SK, Bhatia SK, et al. Insomnia during pregnancy: diagnosis and rational interventions. Pak J Med Sci. 2016; 32:1030-1037. doi: 10.12669/pjms.324.10421
19. Abbott SM, Attarian H, Zee PC. Sleep disorders in perinatal women. Best Pract Res Clin Obstet Gynaecol. 2014;28:159-168. doi: 10.1016/j.bpobgyn.2013.09.003
20. Lu Q, Zhang X, Wang Y, et al. Sleep disturbances during pregnancy and adverse maternal and fetal outcomes: a systematic review and meta-analysis. Sleep Med Rev. 2021;58:101436. doi: 10.1016/j.smrv.2021.101436
21. Patel D, Steinberg J, Patel P. Insomnia in the elderly: a review. J Clin Sleep Med. 2018;14:1017-1024. doi: 10.5664/jcsm.7172
22. Miner B, Kryger MH. Sleep in the aging population. Sleep Med Clin. 2017;12:31-38. doi: 10.1016/j.jsmc.2016.10.008
23. Miner B, Gill TM, Yaggi HK, et al. Insomnia in community-living persons with advanced age. J Am Geriatr Soc. 2018;66:1592-1597. doi: 10.1111/jgs.15414
24. Schutte-Rodin S, Broch L, Buysse D, et al. Clinical guideline for the evaluation and management of chronic insomnia in adults. J Clin Sleep Med. 2008;4:487-504.
25. Owens JA, Dalzell V. Use of the ‘BEARS’ sleep screening tool in a pediatric residents’ continuity clinic: a pilot study. Sleep Med. 2005;6:63-69. doi: 10.1016/j.sleep.2004.07.015
26. Okun ML, Buysse DJ, Hall MH. Identifying insomnia in early pregnancy: validation of the Insomnia Symptoms Questionnaire (ISQ) in pregnant women. J Clin Sleep Med. 2015;11:645-54. doi: 10.5664/jcsm.4776
27. Morin CM, Belleville G, Bélanger L. The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011;34:601-608. doi: 10.1093/sleep/34.5.601
28. Buysse DJ, Reynolds CF, Monk TH, et al. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193-213. doi: 10.1016/0165-1781(89)90047-4
29. Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991;14:540-545. doi: 10.1093/sleep/14.6.540
30. Baddam SKR, Canapari CA, Van de Grift J, et al. Screening and evaluation of sleep disturbances and sleep disorders in children and adolescents. Child Adolesc Psychiatr Clin N Am. 2021;30:65-84. doi: 10.1016/j.chc.2020.09.005
31. De Crescenzo F, Foti F, Ciabattini M, et al. Comparative efficacy and acceptability of pharmacological treatments for insomnia in adults: a systematic review and network meta‐analysis. Cochrane Database Syst Rev. 2016;2016(9):CD012364. doi: 10.1002/14651858.CD012364
32. Sateia MJ, Buysse DJ, Krystal AD, et al. Clinical practice guideline for the pharmacologic treatment of chronic insomnia in adults: an American Academy of Sleep Medicine clinical practice guideline. J Clin Sleep Med. 2017;13:307-349. doi: 10.5664/jcsm.6470
33. Morin AK, Jarvis CI, Lynch AM. Therapeutic options for sleep-maintenance and sleep-onset insomnia. Pharmacother. 2007; 27:89-110. doi: 10.1592/phco.27.1.89
34. Berry RB, Wagner MH. Sleep Medicine Pearls. 3rd ed. Elsevier/Saunders; 2015:533-541.
35. Kapur VK, Auckley DH, Chowdhuri S, et al. Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: an American Academy of Sleep Medicine clinical practice guideline. J Clin Sleep Med. 2017;13:479-504. doi: 10.5664/jcsm.6506
36. Glazer Baron K, Culnan E, Duffecy J, et al. How are consumer sleep technology data being used to deliver behavioral sleep medicine interventions? A systematic review. Behav Sleep Med. 2022;20:173-187. doi: 10.1080/15402002.2021.1898397
37. Smith MT, McCrae CS, Cheung J, et al. Use of actigraphy for the evaluation of sleep disorders and circadian rhythm sleep-wake disorders: an American Academy of Sleep Medicine systematic review, meta-analysis, and GRADE assessment. J Clin Sleep Med. 2018;14:1209-1230.
38. Gradisar M, Wolfson AR, Harvey AG, et al. The sleep and technology use of Americans: findings from the National Sleep Foundation’s 2011 Sleep in America poll. J Clin Sleep Med. 2013;9:1291-1299. doi: 10.5664/jcsm.3272
39. Miller MA, Mehta N, Clark-Bilodeau C, et al. Sleep pharmacotherapy for common sleep disorders in pregnancy and lactation. Chest. 2020;157:184-197. doi: 10.1016/j.chest.2019.09.026
40. Nikles J, Mitchell GK, de Miranda Araújo R, et al. A systematic review of the effectiveness of sleep hygiene in children with ADHD. Psychol Health Med. 2020;25:497-518. doi: 10.1080/13548506.2020.1732431
41. Baglioni C, Altena E, Bjorvatn B, et al. The European Academy for Cognitive Behavioural Therapy for Insomnia: an initiative of the European Insomnia Network to promote implementation and dissemination of treatment. J Sleep Res. 2019;29. doi: 10.1111/jsr.12967
42. Jernelöv S, Blom K, Hentati Isacsson N, et al. Very long-term outcome of cognitive behavioral therapy for insomnia: one- and ten-year follow-up of a randomized controlled trial. Cogn Behav Ther. 2022;51:72-88. doi: 10.1080/16506073.2021.2009019
43. Åslund L, Arnberg F, Kanstrup M, et al. Cognitive and behavioral interventions to improve sleep in school-age children and adolescents: a systematic review and meta-analysis. J Clin Sleep Med. 2018;14:1937-1947. doi: 10.5664/jcsm.7498
44. Manber R, Bei B, Simpson N, et al. Cognitive behavioral therapy for prenatal insomnia: a randomized controlled trial. Obstet Gynecol. 2019;133:911-919. doi: 10.1097/AOG.0000000000003216
45. Bacaro V, Benz F, Pappaccogli A, et al. Interventions for sleep problems during pregnancy: a systematic review. Sleep Med Rev. 2020;50:101234. doi: 10.1016/j.smrv.2019.101234
46. Hinrichsen GA, Leipzig RM. Efficacy of cognitive behavioral therapy for insomnia in geriatric primary care patients. J Am Geriatr Soc. 2021;69:2993-2995. doi: 10.1111/jgs.17319
47. Sadler P, McLaren S, Klein B, et al. Cognitive behavior therapy for older adults with insomnia and depression: a randomized controlled trial in community mental health services. Sleep. 2018;41:1-12. doi: 10.1093/sleep/zsy104
48. American Sleep Association. Cognitive behavioral therapy (CBT): treatment for insomnia. Accessed May 4, 2022. www.sleepassociation.org/sleep-treatments/cognitive-behavioral-therapy/#:~:text=Cognitive%20Behavioral%20Therapy%20for%20Insomnia%2C%20also%20known%20as
49. Zhou FC, Yang Y, Wang YY, et al. Cognitive behavioural therapy for insomnia monotherapy in patients with medical or psychiatric comorbidities: a meta-analysis of randomized controlled trials. Psychiatry Q. 2020;91:1209-1224. doi: 10.1007/s11126-020-09820-8
50. Cheng P, Luik AI, Fellman-Couture C, et al. Efficacy of digital CBT for insomnia to reduce depression across demographic groups: a randomized trial. Psychol Med. 2019;49:491-500. doi: 10.1017/S0033291718001113
51. Felder JN, Epel ES, Neuhaus J, et al. Efficacy of digital cognitive behavioral therapy for the treatment of insomnia symptoms among pregnant women: a randomized clinical trial. JAMA Psych. 2020;77:484-492. doi: 10.1001/jamapsychiatry.2019.4491
52. de Bruin EJ, Bögels SM, Oort FJ, et al. Improvements of adolescent psychopathology after insomnia treatment: results from a randomized controlled trial over 1 year. J Child Psychol Psych. 2018;59:509-522. doi: 10.1111/jcpp.12834
53. Hoffman JE, Taylor K, Manber R, et al. CBT-I Coach (version 1.0). [Mobile application software]. Accessed December 9, 2022. https://itunes.apple.com
54. Paine S, Gradisar M. A randomised controlled trial of cognitive-behaviour therapy for behavioural insomnia of childhood in school-aged children. Behav Res Ther. 2011;49:379-88. doi: 10.1016/j.brat.2011.03.008
55. Hungenberg M, Houss B, Narayan M, et al. Do behavioral interventions improve nighttime sleep in children < 1 year old? J Fam Pract. 2022;71:E16-E17. doi: 10.12788/jfp.0446
56. Paul IM, Savage JS, Anzman-Frasca S, et al. INSIGHT Responsive Parenting Intervention and Infant Sleep. Pediatrics. 2016;138:e20160762. doi: 10.1542/peds.2016-0762
57. Montgomery P, Dennis J. Physical exercise for sleep problems in adults aged 60+. Cochrane Database Syst Rev. 2002; 2002(4):CD003404. doi:10.1002/14651858.CD003404
58. Yang SY, Lan SJ, Yen YY, et al. Effects of exercise on sleep quality in pregnant women: a systematic review and meta-analysis of randomized controlled trials. Asian Nurs Res (Korean Soc Nurs Sci). 2020;14:1-10. doi: 10.1016/j.anr.2020.01.003
59. Wang F, Eun-Kyoung Lee O, Feng F, et al. The effect of meditative movement on sleep quality: a systematic review. Sleep Med Rev. 2016;30:43-52. doi: 10.1016/j.smrv.2015.12.001
60. Schroeck JL, Ford J, Conway EL, et al. Review of safety and efficacy of sleep medicines in older adults. Clin Ther. 2016;38:2340-2372. doi: 10.1016/j.clinthera.2016.09.010
61. Chiu HY, Lee HC, Liu JW, et al. Comparative efficacy and safety of hypnotics for insomnia in older adults: a systematic review and network meta-analysis. Sleep. 2021;44(5):zsaa260. doi: 10.1093/sleep/zsaa260
62. Atkin T, Comai S, Gobbi G. Drugs for insomnia beyond benzodiazepines: pharmacology, clinical applications, and discovery. Pharmacol Rev. 2018;70:197-245. doi: 10.1124/pr.117.014381
63. Karsten J, Hagenauw LA, Kamphuis J, et al. Low doses of mirtazapine or quetiapine for transient insomnia: a randomised, double-blind, cross-over, placebo-controlled trial. J Psychopharmacol. 2017;31:327-337. doi: 10.1177/0269881116681399
64. Yi X-Y, Ni S-F, Ghadami MR, et al. Trazodone for the treatment of insomnia: a meta-analysis of randomized placebo-controlled trials. Sleep Med. 2018;45:25-32. doi: 10.1016/j.sleep.2018.01.010
65. Monti JM, Torterolo P, Pandi Perumal SR. The effects of second generation antipsychotic drugs on sleep variables in healthy subjects and patients with schizophrenia. Sleep Med Rev. 2017;33:51-57. doi: 10.1016/j.smrv.2016.05.002
66. Krzystanek M, Krysta K, Pałasz A. First generation antihistaminic drugs used in the treatment of insomnia—superstitions and evidence. Pharmacother Psychiatry Neurol. 2020;36:33-40.
67. Amitriptyline hydrochloride. NIH US National Library of Medicine: DailyMed. Updated October 6, 2021. Accessed July 27, 2022. https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=a4d012a4-cd95-46c6-a6b7-b15d6fd5269d
68. Olanzapine. NIH US National Library of Medicine: DailyMed. Updated October 23, 2015. Accessed July 27, 2022. https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=e8626e68-088d-47ff-bf06-489a778815aa
69. Quetiapine extended release. NIH US National Library of Medicine: DailyMed. Updated January 28, 2021. Accessed July 27, 2022. https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=07e4f3f4-42cb-4b22-bf8d-8c3279d26e9
70. Roehrs T, Roth T. Drug-related sleep stage changes: functional significance and clinical relevance. Sleep Med Clin. 2010;5:559-570. doi: 10.1016/j.jsmc.2010.08.002
71. Wilson S, Argyropoulos S. Antidepressants and sleep: a qualitative review of the literature. Drugs. 2005;65:927-947. doi: 10.2165/00003495-200565070-00003
72. Winokur A, Gary KA, Rodner S, et al. Depression, sleep physiology, and antidepressant drugs. Depress Anxiety. 2001;14:19-28. doi: 10.1002/da.1043
73. Ozdemir PG, Karadag AS, Selvi Y, et al. Assessment of the effects of antihistamine drugs on mood, sleep quality, sleepiness, and dream anxiety. Int J Psychiatry Clin Pract. 2014;18:161-168. doi: 10.3109/13651501.2014.907919
74. Okun ML, Ebert R, Saini B. A review of sleep-promoting medications used in pregnancy. Am J Obstet Gynecol. 2015;212:428-441. doi:10.1016/j.ajog.2014.10.1106
PRACTICE RECOMMENDATIONS
› Use a standard validated screening tool for the diagnosis of insomnia in all age groups. A
› Employ nonpharmacologic interventions as first-line treatment for insomnia in all populations. A
› Utilize sleep hygiene or cognitive behavioral therapy for insomnia in adolescents and all adults. A
› Initiate independent cognitive or behavioral therapies with younger children. A
Strength of recommendation (SOR)
A Good-quality patient-oriented evidence
B Inconsistent or limited-quality patient-oriented evidence
C Consensus, usual practice, opinion, disease-oriented evidence, case series
Shared decision-making (when you’re wearing the paper gown)
I offer screening mammograms to my patients starting at age 40. I have developed a little script to explain that I recommend them routinely by age 50, but at younger ages, individual decision-making is required because the science to support breast cancer screening has more tradeoffs in younger patients.1 Some patients have questions; many immediately know their preferences.
For me, personally, I felt comfortable waiting until sometime after age 40 to start screening. I have a reassuring family history; my mother has 5 sisters, without any breast or ovarian cancer among them. When, in my mid-40s, I told a doctor that I preferred to wait until I was closer to age 50 to get a mammogram, she urged me to begin screening immediately. Even as a physician, the drive to be a “good patient” was strong. I made the mammogram appointment.
Like many patients, my first mammogram was not normal.2,3 After a second round of tests, and then a third, the radiologist gave me the results: Everything is fine. It is just normal breast tissue. To be on the safe side, you should do a follow-up mammogram and ultrasound in 6 months.
I asked why I needed to do follow-up imaging if the only thing that multiple diagnostic tests had shown was normal tissue—not a cyst, nor a fibroadenoma or any other abnormality.
“Well, do it, don’t do it, but I recommend it,” the radiologist said. The conversation was over.
My experience as a patient came to mind when I read this month’s article on shared decision-making by Mackwood et al.4 The authors discuss principles and techniques for shared decision-making in practice, which include enlisting the patient as the expert in their own values, and putting forth the health care professional as a source of reliable information when the evidence supports more than one reasonable strategy in a health care decision.
Aligning values, science, and action can be challenging, to be sure. It can be made easier through long-term relationships, such as the ones that family physicians have with their patients. One of the benefits of longitudinal practice is coming to know what our patients prefer instead of having to start from scratch with each visit. The belief that our values will be mutually respected is part of what builds trust in a doctor–patient relationship. We can use tools to support information delivery at the patient’s health literacy level to make the science more understandable. This in turn makes it easier for patients to integrate the science into their own value system.
Continue to: One of the most critical...
One of the most critical aspects of shared decision-making is also one of the hardest. As physicians, we need to be comfortable with a patient making a choice that we might not make ourselves. Perhaps we would choose to observe an otitis media in our own afebrile 6-year-old, or maybe we would not opt for semaglutide to treat our own obesity. Patients can have a different set of values and experiences driving their decision-making. The principles of shared decision-making teach us that our training and experience are not the priority in every situation.
In my case, the radiologist may have assumed that because I had gone through all of the testing, I believed that screening did far more good than harm and that I would be back in 6 months. From my point of view, I saw the screening as more of a mixed bag; it was possibly doing good, but at the risk of doing harm with false-positives and the possibility of overdiagnosis. She also may have been pressed for time and not had any available point-of-care tools to help explain her decision-making process. I left without understanding what the evidence was for close-interval follow-up, let alone having a chance to share in the decision-making process.
Shared decision-making and evidence-based medicine are closely connected concepts; the decision rests on the evidence, and the evidence cannot be applied to patients without asking their perspectives.5 Mackwood et al4 point out that shared decision-making can be implemented with little to no increase in the time we spend with patients, and at no substantial increase in costs of care.
Shared decision-making is a skill. Like any skill, the more we practice, the more capable we will become with it. And frankly, it doesn’t hurt to remember how we’ve felt when we’ve been the patient wearing that paper gown.
1. USPSTF. Breast cancer screening. Accessed January 6, 2023. www.uspreventiveservicestaskforce.org/uspstf/recommendation/breast-cancer-screening
2. Rauscher GH, Murphy AM, Qiu Q, et al. The “sweet spot” revisited: optimal recall rates for cancer detection with 2D and 3D digital screening mammography in the Metro Chicago Breast Cancer Registry. AJR Am J Roentgenol. 2021;216:894-902. doi: 10.2214/AJR.19.22429
3. Sumkin JH, Ganott MA, Chough DM, et al. Recall rate reduction with tomosynthesis during baseline screening examinations: an assessment from a prospective trial. Acad Radiol. 2015;22:1477-1482. doi: 10.1016/j.acra.2015.08.015
4. Mackwood MB, Imset I, Morrow C. How to integrate shared decision-making into your practice. J Fam Pract. 2023;72:7-17. doi: 10.12788/jfp.0536
5. Hoffmann TC, Montori VM, Del Mar C. The connection between evidence-based medicine and shared decision making. JAMA. 2014;312:1295-1296. doi: 10.1001/jama.2014.10186
I offer screening mammograms to my patients starting at age 40. I have developed a little script to explain that I recommend them routinely by age 50, but at younger ages, individual decision-making is required because the science to support breast cancer screening has more tradeoffs in younger patients.1 Some patients have questions; many immediately know their preferences.
For me, personally, I felt comfortable waiting until sometime after age 40 to start screening. I have a reassuring family history; my mother has 5 sisters, without any breast or ovarian cancer among them. When, in my mid-40s, I told a doctor that I preferred to wait until I was closer to age 50 to get a mammogram, she urged me to begin screening immediately. Even as a physician, the drive to be a “good patient” was strong. I made the mammogram appointment.
Like many patients, my first mammogram was not normal.2,3 After a second round of tests, and then a third, the radiologist gave me the results: Everything is fine. It is just normal breast tissue. To be on the safe side, you should do a follow-up mammogram and ultrasound in 6 months.
I asked why I needed to do follow-up imaging if the only thing that multiple diagnostic tests had shown was normal tissue—not a cyst, nor a fibroadenoma or any other abnormality.
“Well, do it, don’t do it, but I recommend it,” the radiologist said. The conversation was over.
My experience as a patient came to mind when I read this month’s article on shared decision-making by Mackwood et al.4 The authors discuss principles and techniques for shared decision-making in practice, which include enlisting the patient as the expert in their own values, and putting forth the health care professional as a source of reliable information when the evidence supports more than one reasonable strategy in a health care decision.
Aligning values, science, and action can be challenging, to be sure. It can be made easier through long-term relationships, such as the ones that family physicians have with their patients. One of the benefits of longitudinal practice is coming to know what our patients prefer instead of having to start from scratch with each visit. The belief that our values will be mutually respected is part of what builds trust in a doctor–patient relationship. We can use tools to support information delivery at the patient’s health literacy level to make the science more understandable. This in turn makes it easier for patients to integrate the science into their own value system.
Continue to: One of the most critical...
One of the most critical aspects of shared decision-making is also one of the hardest. As physicians, we need to be comfortable with a patient making a choice that we might not make ourselves. Perhaps we would choose to observe an otitis media in our own afebrile 6-year-old, or maybe we would not opt for semaglutide to treat our own obesity. Patients can have a different set of values and experiences driving their decision-making. The principles of shared decision-making teach us that our training and experience are not the priority in every situation.
In my case, the radiologist may have assumed that because I had gone through all of the testing, I believed that screening did far more good than harm and that I would be back in 6 months. From my point of view, I saw the screening as more of a mixed bag; it was possibly doing good, but at the risk of doing harm with false-positives and the possibility of overdiagnosis. She also may have been pressed for time and not had any available point-of-care tools to help explain her decision-making process. I left without understanding what the evidence was for close-interval follow-up, let alone having a chance to share in the decision-making process.
Shared decision-making and evidence-based medicine are closely connected concepts; the decision rests on the evidence, and the evidence cannot be applied to patients without asking their perspectives.5 Mackwood et al4 point out that shared decision-making can be implemented with little to no increase in the time we spend with patients, and at no substantial increase in costs of care.
Shared decision-making is a skill. Like any skill, the more we practice, the more capable we will become with it. And frankly, it doesn’t hurt to remember how we’ve felt when we’ve been the patient wearing that paper gown.
I offer screening mammograms to my patients starting at age 40. I have developed a little script to explain that I recommend them routinely by age 50, but at younger ages, individual decision-making is required because the science to support breast cancer screening has more tradeoffs in younger patients.1 Some patients have questions; many immediately know their preferences.
For me, personally, I felt comfortable waiting until sometime after age 40 to start screening. I have a reassuring family history; my mother has 5 sisters, without any breast or ovarian cancer among them. When, in my mid-40s, I told a doctor that I preferred to wait until I was closer to age 50 to get a mammogram, she urged me to begin screening immediately. Even as a physician, the drive to be a “good patient” was strong. I made the mammogram appointment.
Like many patients, my first mammogram was not normal.2,3 After a second round of tests, and then a third, the radiologist gave me the results: Everything is fine. It is just normal breast tissue. To be on the safe side, you should do a follow-up mammogram and ultrasound in 6 months.
I asked why I needed to do follow-up imaging if the only thing that multiple diagnostic tests had shown was normal tissue—not a cyst, nor a fibroadenoma or any other abnormality.
“Well, do it, don’t do it, but I recommend it,” the radiologist said. The conversation was over.
My experience as a patient came to mind when I read this month’s article on shared decision-making by Mackwood et al.4 The authors discuss principles and techniques for shared decision-making in practice, which include enlisting the patient as the expert in their own values, and putting forth the health care professional as a source of reliable information when the evidence supports more than one reasonable strategy in a health care decision.
Aligning values, science, and action can be challenging, to be sure. It can be made easier through long-term relationships, such as the ones that family physicians have with their patients. One of the benefits of longitudinal practice is coming to know what our patients prefer instead of having to start from scratch with each visit. The belief that our values will be mutually respected is part of what builds trust in a doctor–patient relationship. We can use tools to support information delivery at the patient’s health literacy level to make the science more understandable. This in turn makes it easier for patients to integrate the science into their own value system.
Continue to: One of the most critical...
One of the most critical aspects of shared decision-making is also one of the hardest. As physicians, we need to be comfortable with a patient making a choice that we might not make ourselves. Perhaps we would choose to observe an otitis media in our own afebrile 6-year-old, or maybe we would not opt for semaglutide to treat our own obesity. Patients can have a different set of values and experiences driving their decision-making. The principles of shared decision-making teach us that our training and experience are not the priority in every situation.
In my case, the radiologist may have assumed that because I had gone through all of the testing, I believed that screening did far more good than harm and that I would be back in 6 months. From my point of view, I saw the screening as more of a mixed bag; it was possibly doing good, but at the risk of doing harm with false-positives and the possibility of overdiagnosis. She also may have been pressed for time and not had any available point-of-care tools to help explain her decision-making process. I left without understanding what the evidence was for close-interval follow-up, let alone having a chance to share in the decision-making process.
Shared decision-making and evidence-based medicine are closely connected concepts; the decision rests on the evidence, and the evidence cannot be applied to patients without asking their perspectives.5 Mackwood et al4 point out that shared decision-making can be implemented with little to no increase in the time we spend with patients, and at no substantial increase in costs of care.
Shared decision-making is a skill. Like any skill, the more we practice, the more capable we will become with it. And frankly, it doesn’t hurt to remember how we’ve felt when we’ve been the patient wearing that paper gown.
1. USPSTF. Breast cancer screening. Accessed January 6, 2023. www.uspreventiveservicestaskforce.org/uspstf/recommendation/breast-cancer-screening
2. Rauscher GH, Murphy AM, Qiu Q, et al. The “sweet spot” revisited: optimal recall rates for cancer detection with 2D and 3D digital screening mammography in the Metro Chicago Breast Cancer Registry. AJR Am J Roentgenol. 2021;216:894-902. doi: 10.2214/AJR.19.22429
3. Sumkin JH, Ganott MA, Chough DM, et al. Recall rate reduction with tomosynthesis during baseline screening examinations: an assessment from a prospective trial. Acad Radiol. 2015;22:1477-1482. doi: 10.1016/j.acra.2015.08.015
4. Mackwood MB, Imset I, Morrow C. How to integrate shared decision-making into your practice. J Fam Pract. 2023;72:7-17. doi: 10.12788/jfp.0536
5. Hoffmann TC, Montori VM, Del Mar C. The connection between evidence-based medicine and shared decision making. JAMA. 2014;312:1295-1296. doi: 10.1001/jama.2014.10186
1. USPSTF. Breast cancer screening. Accessed January 6, 2023. www.uspreventiveservicestaskforce.org/uspstf/recommendation/breast-cancer-screening
2. Rauscher GH, Murphy AM, Qiu Q, et al. The “sweet spot” revisited: optimal recall rates for cancer detection with 2D and 3D digital screening mammography in the Metro Chicago Breast Cancer Registry. AJR Am J Roentgenol. 2021;216:894-902. doi: 10.2214/AJR.19.22429
3. Sumkin JH, Ganott MA, Chough DM, et al. Recall rate reduction with tomosynthesis during baseline screening examinations: an assessment from a prospective trial. Acad Radiol. 2015;22:1477-1482. doi: 10.1016/j.acra.2015.08.015
4. Mackwood MB, Imset I, Morrow C. How to integrate shared decision-making into your practice. J Fam Pract. 2023;72:7-17. doi: 10.12788/jfp.0536
5. Hoffmann TC, Montori VM, Del Mar C. The connection between evidence-based medicine and shared decision making. JAMA. 2014;312:1295-1296. doi: 10.1001/jama.2014.10186
How to integrate shared decision-making into your practice
Shared decision-making (SDM), a methodology for improving patient communication, education, and outcomes in preference-sensitive health care decisions, debuted in 1989 with the Ottawa Decision Support Framework1 and the creation of the Foundation for Informed Medical Decision Making (now the Informed Medical Decisions Foundation).2 SDM enhances care by actively involving patients as partners in their health care choices. This approach can not only increase patient knowledge and satisfaction with care but also has a beneficial effect on adherence and outcomes.3-5
Despite the significant benefits of SDM, overall uptake of SDM practices remains low—even in situations in which SDM is a requirement for reimbursement, such as in lung cancer screening.6-8 The ever-shifting list of conditions that warrant the implementation of SDM in a family practice can be daunting. Our review seeks to highlight current best practices, review common situations in which SDM would be beneficial, and describe tools and frameworks that can facilitate effective SDM conversations in the typical primary care practice.
Preference-sensitive care
SDM is designed to enhance the role of patient preference, considering a patient’s own personal values for managing clinical conditions when more than one reasonable strategy exists. Such situations are often referred to as preference-sensitive conditions—ie, since evidence is limited on a single “best” treatment approach, patients’ values should impact decision-making.9 Examples of common preference-sensitive situations that include preventive care, screening, and chronic disease management are outlined in TABLE 1.
How to engage patients
In preference-sensitive care situations, SDM endeavors to address uncertainty by laying out what the options are, as well as providing risk and benefit data. This helps inform patients and guides providers about individual patient preference on whether to screen (eg, for average-risk female patients, breast cancer screening between ages 40-50 years). SDM can assist with determining whether to screen and if so, at what interval (eg, at 1- or 2-year intervals), while acknowledging that no single decision would be “best” for every patient.
While there are formalized tools to provide information to patients and help them consider their values and choices,3,10 SDM does not hinge on the use of an explicit tool.11-18 There are many approaches to and interpretations of SDM; the Ottawa Decision Support Framework reviews and details these many considerations at length in its 2020 revision.19 TABLE 211,15-17,20-22 highlights various SDM frameworks and the steps involved.
These 3 elements are commonamong SDM frameworks
In a 2019 systematic review, the following 3 elements were highlighted as the most prevalent over time across SDM frameworks and could be considered core to any meaningful SDM process23:
Explicit effort by 2 or more experts. The patient is an expert in their own values. The clinician, as an expert in relevant medical knowledge, clarifies that the current medical situation will benefit from incorporating the patient’s preferences to arrive at an appropriate shared decision.
Continue to: Effort to provide relevant...
Effort to provide relevant, evidence-based information. The clinician provides treatment options applicable to the patient, including the risks and benefits of each (potentially using one of the decision aids in the following section), to facilitate a values-based discussion and decision.
Patient support and assistance. The clinician assists the patient in navigating next steps based on the treatment decision and arranges necessary follow-up.
Various case studies and examples of SDM conversations have been published.15-17,24 Video examples of optimal25 and less than optimal26 SDM conversations are available on the Massachusetts General Hospital Health Decision Sciences Center website (https://mghdecisionsciences.org/) under the section “Tools & Training >> Videos about Shared Decision-Making.”27
SDM and motivational interviewing: Both can serve you well
SDM and motivational interviewing share many common elements,28 and it’s useful to take advantage of both techniques. Preference-sensitive care situations may require a combination of approaches.
For example, motivational interviewing may be a beneficial tool when dealing with a patient who is initially against colon cancer screening (evidence clearly favors screening in some form over no screening) and has a history of avoiding medical care. Through an SDM approach, motivational interviewing may identify an opportunity to prioritize the patient’s preference to minimize medical intervention by ensuring that the patient is familiar with noninvasive colon cancer screening options. After sufficiently eliciting a patient value aligned with screening and engaging the patient’s own motivations for follow-through, a more thorough SDM conversation can then help clarify the best options.
Continue to: A proposed framework...
A proposed framework for identifying whether SDM or motivational interviewing is appropriate is featured in the FIGURE. In their paper, Elwyn et al29 further define and discuss the distinguishing features and roles of SDM and behavioral support interventions, such as motivational interviewing.
Tools to facilitate SDM conversations
Decision aids
SDM has historically been operationalized for study through the use of decision aids: formally structured materials describing, in detail, the available treatment options under consideration, including the relative risks and benefits. Frequently, such tools are framed from a patient perspective, with digestible information presented in a multimedia format (eg, visual risk representations of “1 out of 10” in an icon array vs “10%”), leveraging effective risk communication strategies (eg, absolute risk rates vs relative risks and “balanced framing”). For instance, the physician would note that 1 out of 10 patients have an outcome and 9 out of 10 do not.
Additional information on risk communication skills is available at the Agency for Healthcare Research and Quality’s webpage on the SHARE approach (www.ahrq.gov/health-literacy/professional-training/shared-decision/tool/resource-5.html).30 Decision aids have been shown to enhance health literacy, increase patient knowledge and understanding, and promote the frequency of “values-concordant” choices.3
Point-of-care decision support
A more recent trend in SDM is increased development and use of point-of-care decision support tools that emphasize information reflecting individual patient circumstances (eg, leveraging heart risk calculators to individualize risk conversations when considering statins for primary prevention of heart disease based on lipids and other demographic factors). An advantage to using such tools is that they provide “just-in-time” detailed and personalized evidence-based information, guiding the discussion and minimizing the need for an extensive advance review of each topic by emphasizing the “key facts.” To ensure effective use of SDM tools, avoid oversaturating patients with data, maintain a focus on patient values, and engage in a 2-way discussion that considers the unique mix of preferences and circumstances.
Proprietorship of tools and decision aids
Until recently, SDM materials were compiled primarily within not-for-profit entities such as the Informed Medical Decisions Foundation, which became a division of Healthwise in 2014.2 In recent years, there has been an increasing trend of for-profit companies acquiring or developing their own decision aids and decision-support tools, eg, EBSCO Health (Option Grid31 and Health Decision32) and Wolters Kluwer (EMMI33). The extensive work of curating SDM and educational tools to keep up with best medical evidence is costly, and the effort to defray costs can give rise to potential conflicts of interest. Therefore, the interests of the creators of such tools—whether commercial or academic—should always be considered when evaluating the use of a given decision-support tool.
Contunue to: An online listing...
An online listing of publicly available decision aids is maintained by the Ottawa Hospital Research Institute,34 which reviews decision-aid quality by objective criteria in addition to providing direct links to resources.35 EBSCO health’s DynaMed Decisions also maintains a list of shared decision-making tools (https://decisions.dynamed.com/).
Effectiveness of decision aids
There is a robust body of research focused on decision aids for SDM. An example is a 2017 Cochrane review that concluded SDM facilitated by decision aids significantly improved patient engagement and satisfaction and increased patient knowledge, accuracy in risk perception, and congruency in making value-aligned care choices. Beyond decision aids, studies show SDM practices increase patient knowledge, engagement, and satisfaction, particularly among low-literacy or disadvantaged groups.4,36,37
Barriers to implementation
Clinicians frequently cite time constraints as a barrier to successfully implementing SDM in practice, although studies that explicitly compare the time/cost of SDM to “usual care” are limited.38 A Cochrane review of 105 studies evaluating the use of decision aids vs usual care found that only 10 studies examined the effects of decision aids on the length of the office visit.3 Two of these studies (one evaluating decision aids for prenatal diagnostic screening and the other for atrial fibrillation) found a median increase in visit length of 2.6 minutes (24 vs 21; 7.5% increase); the other 8 studies reported no increase in visit length.3
Studies focusing on the time impact of using SDM in an office visit, rather than decision aids as a proxy for SDM, are few. A study by Braddock et al39 assessed the elements of SDM, measuring the quality and the time-efficiency of 141 surgical decision-making interactions between patients and 89 orthopedic surgeons. Researchers found 57% of the discussions had elements of SDM sufficient to meet a “reasonable minimum” standard (eg, nature of the decision, patient’s role, patient’s preference). These conversations took 20 minutes compared to a median of 16 minutes for a more typical conversation.39 The study used audiotaped interviews, which were coded and scored based on the presence of SDM elements; treatment choice, outcomes of the choices, and satisfaction were not reported. A separate study by Loh et al5 looking at SDM in primary care for patients with depression sought to determine whether patient participation in the decision-making process improved treatment adherence, outcomes, and patient satisfaction without increasing consultation time. This study, which included 23 physicians and 405 patients, found improved participation and satisfaction outcomes in the intervention group and no difference in consultation time between the intervention and control groups.5
Care costs appear similar
The impact of SDM on cost and patient-centered clinical outcomes is not well defined. One study by Arterburn et al40 found decision aids and SDM lowered the rates of elective surgery for hip and knee arthritis, as well as associated health system costs. However, other studies suggest this phenomenon likely varies by demographic, demonstrating that certain populations with a generally lower baseline preference for surgery on average chose surgery more often after SDM interventions.41,42 Evidence does support patient acceptability and efficacy for SDM in longitudinal care when the approach is incorporated into decisions over multiple visits or long-term decisions for chronic conditions.4 Studies comparing patient groups receiving decision aids to usual care have shown similar or lower overall care costs for the decision-aid group.3
Continue to: Limitations to the evidence
Limitations to the evidence
Systematic reviews routinely note substantial heterogeneity in the literature on SDM use, owing to variable definitions of what steps are essential to constitute an SDM intervention and a wide variety of outcome measures used, as well as the broad range of conditions to which SDM is potentially applicable.3,4,10,36,37,43-45 While efforts in SDM education, uptake, and study frequently adapt frameworks such as those outlined in TABLE 2,11,15-17,20-22 there is as yet no one consensus on the “best” approach to SDM, and explicit study of any given approach is limited.18,23,36,44-46 There remains a clear need to improve the uptake of existing reporting standards to ensure the future evidence base will be of high quality.44 In the meantime, a large portion of the impetus for expanding the use of SDM remains based on principles of effective communication and championing a patient-centered philosophy of care.
Cultivating an effective approach
An oft-cited objection to the use of SDM in day-to-day clinical care is that it “takes too much time.”47 Like all excellent communication skills, SDM is best incorporated into a clinician’s approach to patient care. With practice, we have found this can be accomplished during routine patient encounters—eg, when providing general counsel, giving advice, providing education, answering questions. Given the interdependent relationship between evidence-based medicine and SDM, particularly in preference-sensitive conditions, SDM skills can facilitate efficient decision-making and patient satisfaction.48 To that end, clinician training on SDM techniques, especially those that emphasize the 3 core elements, can be particularly beneficial. These broadly applicable skills can be leveraged in an “SDM mindset,” even outside traditional preference-sensitive care situations, to enhance clinician–patient rapport, relationship, and satisfaction.
The future of SDM
More than 2 decades after SDM was introduced to clinical care, there remains much to do to improve uptake in primary care settings. An important strategy to increase the successful uptake of SDM for the typical clinician and patient is to emphasize the approach to framing the topic and discussion rather than to overemphasize decision aids.23 Continuing the trend of well-designed and accessible tools for clinical decision support at the point of care for clinicians, in addition to the sustained evolution of decision aids for patients, should help minimize the need for extensive background knowledge on a topic, increase accessibility, and enable an effective partnership with patients in their health care decisions.46 Ongoing, well-structured study and the use of common proposed standards in developing these tools and studying SDM implementation will provide long-term quality assurance.44
SDM has a role to play in health equity
SDM has a clear role to play in addressing health inequities. Values vary from person to person, and individuals exist along a variety of cultural, community, and other spectra that strongly influence their perception of what is most important to them. Moreover, clinicians’ assumptions typically do not correspond to a patient’s actual desire to engage in SDM nor to their overall likelihood of choosing any given treatment option.46 While many clinicians believe patients do not participate in SDM because they simply do not wish to, a systematic review and thematic synthesis by Joseph-Williams et al46 suggested a great number of patients are instead unable to take part in SDM due to barriers such as a lack of time availability, challenges in the structure of the health care system itself, and factors specific to the clinician–patient interaction such as patients feeling as though they don’t have “permission” to participate in SDM.
SDM may improve health equity, adherence, and outcomes in certain groups. For example, SDM has been suggested as a potential means to address disparities in outcomes for populations disproportionately affected by hypertension.24 The increased implementation of SDM practices, coupled with a genuine partnership between patients and care teams, may improve patient–clinician communication, enhance understanding of patient concerns and goals, and perhaps ultimately increase patient engagement and adherence.
Continue to: Being the change
Being the change
Effective framing of medical decisions in the context of best medical evidence and eliciting patient values supports continued evolution in health care delivery. The traditional, physician-directed patriarchal “one-size-fits-all” approach has evolved. Through the continued development and implementation of SDM techniques, the clinician’s approach to care will continue to advance.
Ultimately, patients and clinicians both benefit from the use of SDM—the patient benefits from explicit framing of the medical facts most relevant to their decision, and the physician benefits from enhanced knowledge of the patient’s values and considerations. When done well, SDM increases the likelihood that patients will receive the best care possible, concordant with their values and preferences and within the context of their unique circumstances, leading to improved knowledge, adherence, outcomes, and satisfaction.
CORRESPONDENCE
Matthew Mackwood, MD, One Medical Center Drive, Lebanon, NH 03756; [email protected]
1. Ottawa Hospital Research Institute. Mission and history—patient decision aids. Accessed October 20, 2022. https://decisionaid.ohri.ca/mission.html
2. Healthwise. Informed Medical Decision Foundation. Accessed October 20, 2022. www.healthwise.org/specialpages/imdf.aspx
3. Stacey D, Légaré F, Lewis K, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2017;4:CD001431. doi: 10.1002/14651858.CD001431.pub5
4. Joosten EAG, DeFuentes-Merillas L, De Weert G, et al. Systematic review of the effects of shared decision-making on patient satisfaction, treatment adherence and health status. Psychother Psychosom. 2008;77:219-226. doi: 10.1159/000126073
5. Loh A, Simon D, Wills CE, et al. The effects of a shared decision-making intervention in primary care of depression: a cluster-randomized controlled trial. Patient Educ Couns. 2007;67:324-332. doi: 10.1016/j.pec.2007.03.023
6. Goodwin JS, Nishi S, Zhou J, et al. Use of the shared decision-making visit for lung cancer screening among Medicare enrollees. JAMA Intern Med. 2019;179:716-718. doi: 10.1001/jamain ternmed.2018.6405
7. Brenner AT, Malo TL, Margolis M, et al. Evaluating shared decision-making for lung cancer screening. JAMA Intern Med. 2018;178:1311-1316. doi: 10.1001/jamainternmed.2018.3054
8. Nishi SPE, Lowenstein LM, Mendoza TR, et al. Shared decision-making for lung cancer screening: how well are we “sharing”? Chest. 2021;160:330-340. doi: 10.1016/j.chest.2021.01.041
9. Fisher ES, Wennberg JE. Health care quality, geographic variations, and the challenge of supply-sensitive care. Perspect Biol Med. 2003;46:69-79. doi: 10.1353/pbm.2003.000
10. Hoefel L, O’Connor AM, Lewis KB, et al. 20th Anniversary update of the Ottawa decision support framework part 1: a systematic review of the decisional needs of people making health or social decisions. Med Decis Making. 2020;40:555-581. doi: 10.1177/0272989X20936209
11. Sheridan SL, Harris RP, Woolf SH. Shared decision-making about screening and chemoprevention: a suggested approach from the U.S. Preventive Services Task Force. Am J Prev Med. 2004;26:56-66. doi: 10.1016/j.amepre.2003.09.011
12. Elwyn G, Frosch D, Thomson R, et al. Shared decision-making: a model for clinical practice. J Gen Intern Med. 2012;27:1361-1367. doi: 10.1007/s11606-012-2077-6
13. Fowler FJ Jr, Barry MJ, Sepucha KR, et al. Let’s require patients to review a high-quality decision aid before receiving important tests and treatments. Med Care. 2021;59:1-5. doi: 10.1097/MLR.0000000000001440
14. Hargraves IG, Fournier AK, Montori VM, et al. Generalized shared decision-making approaches and patient problems. Adapting AHRQ’s SHARE approach for purposeful SDM. Patient Educ Couns. 2020;103:2192-2199. doi: 10.1016/j.pec.2020.06.022
15. Price D. Sharing clinical decisions by discussing evidence with patients. Perm J. 2005;9:70-73. doi: 10.7812/TPP/05-006
16. Schrager S, Phillips G, Burnside E. Shared decision-making in cancer screening. Fam Pract Manag. 2017;24:5-10.
17. Stiggelbout AM, Pieterse AH, De Haes JCJM. Shared decision-making: concepts, evidence, and practice. Patient Educ Couns. 2015;98:1172-1179. doi: 10.1016/j.pec.2015.06.022
18. Hargraves I, LeBlanc A, Shah ND, et al. Shared decision-making: the need for patient-clinician conversation, not just information. Health Aff (Milford). 2016;35:627-629. doi: 10.1377/hlthaff.2015.1354
19. Stacey D, Légaré F, Boland L, et al. 20th anniversary Ottawa Decision Support Framework: part 3 overview of systematic reviews and updated framework. Med Decis Making. 2020;40:379-398. doi: 10.1177/0272989X20911870
20. Agency for Health Research and Quality. The SHARE Approach. Accessed November 24, 2021, www.ahrq.gov/health-literacy/professional-training/shared-decision/index.html
21. Elwyn G, Durand MA, Song J, et al. A three-talk model for shared decision-making: multistage consultation process. BMJ. 2017;359:j4891. doi: 10.1136/bmj.j4891
22. Healthwise – Informed Medical Decisions Foundation. The six steps of shared decision making. Accessed December 21, 2022. http://cdn-www.informedmedicaldecisions.org/imdfdocs/SixStepsSDM_CARD.pdf
23. Bomhof-Roordink H, Gärtner FR, Stiggelbout AM, et al. Key components of shared decision-making models: a systematic review. BMJ Open. 2019;9:e031763. doi: 10.1136/bmjopen-2019-03176
24. Langford AT, Williams SK, Applegate M, et al. Partnerships to improve shared decision making for patients with hypertension - health equity implications. Ethn Dis. 2019;29(suppl 1):97-102. doi: 10.18865/ed.29.S1.97
25. MGH Health Decision Sciences Center. High cholesterol visit version 2. YouTube. February 28, 2020. Accessed October 20, 2022. www.youtube.com/watch?v=o2mZ9duJW0A
26. MGH Health Decision Sciences Center. High cholesterol visit version 1. YouTube. February 28, 2020. Accessed October 20, 2022. www.youtube.com/watch?v=0NdDMKS8DwU
27. MGH Health Decision Sciences Center. Videos about shared decision-making. Accessed October 20, 2022. https://mghdecision sciences.org/tools-training/sdmvideos/
28. Elwyn G, Dehlendorf C, Epstein RM, et al. Shared decision-making and motivational interviewing: achieving patient-centered care across the spectrum of health care problems. Ann Fam Med. 2014;12:270-275. doi: 10.1370/afm.1615. Published correction in Ann Fam Med. 2014;12:301. doi: 10.1370/afm.1674
29. Elwyn G, Frosch D, Rollnick S. Dual equipoise shared decision-making: definitions for decision and behaviour support interventions. Implement Sci. 2009;4:75. doi: 10.1186/1748-5908-4-75
30. Agency for Health Research and Quality. The SHARE approach—communicating numbers to your patients: a reference guide for health care providers. Workshop curriculum: tool 5. Accessed October 21, 2022. www.ahrq.gov/health-literacy/professional-training/shared-decision/tool/resource-5.html
31. EBSCO. Accessed October 21, 2022. https://optiongrid.ebsco.com/about
32. HealthDecision. HealthDecision - Decision Support & Shared decision-making for Clinicians & Patients at the Point of Care. Accessed November 24, 2021. www.healthdecision.com/ [Now DynaMed Decisions, https://decisions.dynamed.com/]
33. Wolters Kluwer. EmmiEngage: guide patients in their care journeys. Accessed October 21, 2022. www.wolterskluwer.com/en/solutions/emmi/emmi-engage
34. The Ottawa Hospital Research Institute. Patient decision aids. Accessed October 21, 2022. https://decisionaid.ohri.ca/Azinvent.php
35. The Ottawa Hospital Research Institute. Alphabetical list of decision aids by health topic. Accessed October 21, 2022. https://decisionaid.ohri.ca/AZlist.html
36. Shay LA, Lafata JE. Where is the evidence? A systematic review of shared decision-making and patient outcomes. Med Decis Making. 2015;35:114-131. doi: 10.1177/0272989X14551638
37. Durand M-A, Carpenter L, Dolan H, et al. Do interventions designed to support shared decision-making reduce health inequalities? A systematic review and meta-analysis. PloS One. 2014;9:e94670. doi: 10.1371/journal.pone.0094670
38. Friedberg MW, Van Busum K, Wexler R, et al. A demonstration of shared decision-making in primary care highlights barriers to adoption and potential remedies. Health Aff (Millwood). 2013;32:268-275. doi: 10.1377/hlthaff.2012.1084
39. Braddock C 3rd, Hudak PL, Feldman JJ, et al. “Surgery is certainly one good option”: quality and time-efficiency of informed decision-making in surgery. J Bone Joint Surg Am. 2008;90:1830-1838. doi: 10.2106/JBJS.G.00840
40. Arterburn D, Wellman R, Westbrook E, et al. Introducing decision aids at Group Health was linked to sharply lower hip and knee surgery rates and costs. Health Aff (Millwood). 2012;31:2094-2104. doi: 10.1377/hlthaff.2011.0686.
41. Vina ER, Richardson D, Medvedeva E, et al. Does a patient-centered educational intervention affect African-American access to knee replacement? A randomized trial. Clin Orthop Relat Res. 2016;474:1755-1764. doi: 10.1007/s11999-016-4834-z
42. Ibrahim SA, Blum M, Lee GC, et al. Effect of a decision aid on access to total knee replacement for Black patients with osteoarthritis of the knee: a randomized clinical trial. JAMA Surg. 2017;152:e164225. doi: 10.1001/jamasurg.2016.4225
43. Chewning B, Bylund CL, Shah B, et al. Patient preferences for shared decisions: a systematic review. Patient Educ Couns. 2012;86:9-18. doi: 10.1016/j.pec.2011.02.004
44. Trenaman L, Jansen J, Blumenthal-Barby J, et al. Are we improving? Update and critical appraisal of the reporting of decision process and quality measures in trials evaluating patient decision aids. Med Decis Making. 2021;41:954-959. doi: 10.1177/0272989x211011120
45. Hoefel L, Lewis KB, O’Connor A, et al. 20th anniversary update of the Ottawa decision support framework: part 2 subanalysis of a systematic review of patient decision aids. Med Decis Making. 2020;40:522-539. doi: 10.1177/0272989X20924645
46. Joseph-Williams N, Elwyn G, Edwards A. Knowledge is not power for patients: a systematic review and thematic synthesis of patient-reported barriers and facilitators to shared decision-making. Patient Educ Couns. 2014;94:291-309. doi: 10.1016/j.pec.2013.10.031
47. Légaré F, Ratté S, Gravel K, et al. Barriers and facilitators to implementing shared decision-making in clinical practice: update of a systematic review of health professionals’ perceptions. Patient Educ Couns. 2008;73:526-535. doi: 10.1016/ j.pec.2008.07.018
48. Hoffmann TC, Montori VM, Del Mar C. The connection between evidence-based medicine and shared decision-making. JAMA. 2014;312:1295-1296. doi:10.1001/jama.2014.10186
Shared decision-making (SDM), a methodology for improving patient communication, education, and outcomes in preference-sensitive health care decisions, debuted in 1989 with the Ottawa Decision Support Framework1 and the creation of the Foundation for Informed Medical Decision Making (now the Informed Medical Decisions Foundation).2 SDM enhances care by actively involving patients as partners in their health care choices. This approach can not only increase patient knowledge and satisfaction with care but also has a beneficial effect on adherence and outcomes.3-5
Despite the significant benefits of SDM, overall uptake of SDM practices remains low—even in situations in which SDM is a requirement for reimbursement, such as in lung cancer screening.6-8 The ever-shifting list of conditions that warrant the implementation of SDM in a family practice can be daunting. Our review seeks to highlight current best practices, review common situations in which SDM would be beneficial, and describe tools and frameworks that can facilitate effective SDM conversations in the typical primary care practice.
Preference-sensitive care
SDM is designed to enhance the role of patient preference, considering a patient’s own personal values for managing clinical conditions when more than one reasonable strategy exists. Such situations are often referred to as preference-sensitive conditions—ie, since evidence is limited on a single “best” treatment approach, patients’ values should impact decision-making.9 Examples of common preference-sensitive situations that include preventive care, screening, and chronic disease management are outlined in TABLE 1.
How to engage patients
In preference-sensitive care situations, SDM endeavors to address uncertainty by laying out what the options are, as well as providing risk and benefit data. This helps inform patients and guides providers about individual patient preference on whether to screen (eg, for average-risk female patients, breast cancer screening between ages 40-50 years). SDM can assist with determining whether to screen and if so, at what interval (eg, at 1- or 2-year intervals), while acknowledging that no single decision would be “best” for every patient.
While there are formalized tools to provide information to patients and help them consider their values and choices,3,10 SDM does not hinge on the use of an explicit tool.11-18 There are many approaches to and interpretations of SDM; the Ottawa Decision Support Framework reviews and details these many considerations at length in its 2020 revision.19 TABLE 211,15-17,20-22 highlights various SDM frameworks and the steps involved.
These 3 elements are commonamong SDM frameworks
In a 2019 systematic review, the following 3 elements were highlighted as the most prevalent over time across SDM frameworks and could be considered core to any meaningful SDM process23:
Explicit effort by 2 or more experts. The patient is an expert in their own values. The clinician, as an expert in relevant medical knowledge, clarifies that the current medical situation will benefit from incorporating the patient’s preferences to arrive at an appropriate shared decision.
Continue to: Effort to provide relevant...
Effort to provide relevant, evidence-based information. The clinician provides treatment options applicable to the patient, including the risks and benefits of each (potentially using one of the decision aids in the following section), to facilitate a values-based discussion and decision.
Patient support and assistance. The clinician assists the patient in navigating next steps based on the treatment decision and arranges necessary follow-up.
Various case studies and examples of SDM conversations have been published.15-17,24 Video examples of optimal25 and less than optimal26 SDM conversations are available on the Massachusetts General Hospital Health Decision Sciences Center website (https://mghdecisionsciences.org/) under the section “Tools & Training >> Videos about Shared Decision-Making.”27
SDM and motivational interviewing: Both can serve you well
SDM and motivational interviewing share many common elements,28 and it’s useful to take advantage of both techniques. Preference-sensitive care situations may require a combination of approaches.
For example, motivational interviewing may be a beneficial tool when dealing with a patient who is initially against colon cancer screening (evidence clearly favors screening in some form over no screening) and has a history of avoiding medical care. Through an SDM approach, motivational interviewing may identify an opportunity to prioritize the patient’s preference to minimize medical intervention by ensuring that the patient is familiar with noninvasive colon cancer screening options. After sufficiently eliciting a patient value aligned with screening and engaging the patient’s own motivations for follow-through, a more thorough SDM conversation can then help clarify the best options.
Continue to: A proposed framework...
A proposed framework for identifying whether SDM or motivational interviewing is appropriate is featured in the FIGURE. In their paper, Elwyn et al29 further define and discuss the distinguishing features and roles of SDM and behavioral support interventions, such as motivational interviewing.
Tools to facilitate SDM conversations
Decision aids
SDM has historically been operationalized for study through the use of decision aids: formally structured materials describing, in detail, the available treatment options under consideration, including the relative risks and benefits. Frequently, such tools are framed from a patient perspective, with digestible information presented in a multimedia format (eg, visual risk representations of “1 out of 10” in an icon array vs “10%”), leveraging effective risk communication strategies (eg, absolute risk rates vs relative risks and “balanced framing”). For instance, the physician would note that 1 out of 10 patients have an outcome and 9 out of 10 do not.
Additional information on risk communication skills is available at the Agency for Healthcare Research and Quality’s webpage on the SHARE approach (www.ahrq.gov/health-literacy/professional-training/shared-decision/tool/resource-5.html).30 Decision aids have been shown to enhance health literacy, increase patient knowledge and understanding, and promote the frequency of “values-concordant” choices.3
Point-of-care decision support
A more recent trend in SDM is increased development and use of point-of-care decision support tools that emphasize information reflecting individual patient circumstances (eg, leveraging heart risk calculators to individualize risk conversations when considering statins for primary prevention of heart disease based on lipids and other demographic factors). An advantage to using such tools is that they provide “just-in-time” detailed and personalized evidence-based information, guiding the discussion and minimizing the need for an extensive advance review of each topic by emphasizing the “key facts.” To ensure effective use of SDM tools, avoid oversaturating patients with data, maintain a focus on patient values, and engage in a 2-way discussion that considers the unique mix of preferences and circumstances.
Proprietorship of tools and decision aids
Until recently, SDM materials were compiled primarily within not-for-profit entities such as the Informed Medical Decisions Foundation, which became a division of Healthwise in 2014.2 In recent years, there has been an increasing trend of for-profit companies acquiring or developing their own decision aids and decision-support tools, eg, EBSCO Health (Option Grid31 and Health Decision32) and Wolters Kluwer (EMMI33). The extensive work of curating SDM and educational tools to keep up with best medical evidence is costly, and the effort to defray costs can give rise to potential conflicts of interest. Therefore, the interests of the creators of such tools—whether commercial or academic—should always be considered when evaluating the use of a given decision-support tool.
Contunue to: An online listing...
An online listing of publicly available decision aids is maintained by the Ottawa Hospital Research Institute,34 which reviews decision-aid quality by objective criteria in addition to providing direct links to resources.35 EBSCO health’s DynaMed Decisions also maintains a list of shared decision-making tools (https://decisions.dynamed.com/).
Effectiveness of decision aids
There is a robust body of research focused on decision aids for SDM. An example is a 2017 Cochrane review that concluded SDM facilitated by decision aids significantly improved patient engagement and satisfaction and increased patient knowledge, accuracy in risk perception, and congruency in making value-aligned care choices. Beyond decision aids, studies show SDM practices increase patient knowledge, engagement, and satisfaction, particularly among low-literacy or disadvantaged groups.4,36,37
Barriers to implementation
Clinicians frequently cite time constraints as a barrier to successfully implementing SDM in practice, although studies that explicitly compare the time/cost of SDM to “usual care” are limited.38 A Cochrane review of 105 studies evaluating the use of decision aids vs usual care found that only 10 studies examined the effects of decision aids on the length of the office visit.3 Two of these studies (one evaluating decision aids for prenatal diagnostic screening and the other for atrial fibrillation) found a median increase in visit length of 2.6 minutes (24 vs 21; 7.5% increase); the other 8 studies reported no increase in visit length.3
Studies focusing on the time impact of using SDM in an office visit, rather than decision aids as a proxy for SDM, are few. A study by Braddock et al39 assessed the elements of SDM, measuring the quality and the time-efficiency of 141 surgical decision-making interactions between patients and 89 orthopedic surgeons. Researchers found 57% of the discussions had elements of SDM sufficient to meet a “reasonable minimum” standard (eg, nature of the decision, patient’s role, patient’s preference). These conversations took 20 minutes compared to a median of 16 minutes for a more typical conversation.39 The study used audiotaped interviews, which were coded and scored based on the presence of SDM elements; treatment choice, outcomes of the choices, and satisfaction were not reported. A separate study by Loh et al5 looking at SDM in primary care for patients with depression sought to determine whether patient participation in the decision-making process improved treatment adherence, outcomes, and patient satisfaction without increasing consultation time. This study, which included 23 physicians and 405 patients, found improved participation and satisfaction outcomes in the intervention group and no difference in consultation time between the intervention and control groups.5
Care costs appear similar
The impact of SDM on cost and patient-centered clinical outcomes is not well defined. One study by Arterburn et al40 found decision aids and SDM lowered the rates of elective surgery for hip and knee arthritis, as well as associated health system costs. However, other studies suggest this phenomenon likely varies by demographic, demonstrating that certain populations with a generally lower baseline preference for surgery on average chose surgery more often after SDM interventions.41,42 Evidence does support patient acceptability and efficacy for SDM in longitudinal care when the approach is incorporated into decisions over multiple visits or long-term decisions for chronic conditions.4 Studies comparing patient groups receiving decision aids to usual care have shown similar or lower overall care costs for the decision-aid group.3
Continue to: Limitations to the evidence
Limitations to the evidence
Systematic reviews routinely note substantial heterogeneity in the literature on SDM use, owing to variable definitions of what steps are essential to constitute an SDM intervention and a wide variety of outcome measures used, as well as the broad range of conditions to which SDM is potentially applicable.3,4,10,36,37,43-45 While efforts in SDM education, uptake, and study frequently adapt frameworks such as those outlined in TABLE 2,11,15-17,20-22 there is as yet no one consensus on the “best” approach to SDM, and explicit study of any given approach is limited.18,23,36,44-46 There remains a clear need to improve the uptake of existing reporting standards to ensure the future evidence base will be of high quality.44 In the meantime, a large portion of the impetus for expanding the use of SDM remains based on principles of effective communication and championing a patient-centered philosophy of care.
Cultivating an effective approach
An oft-cited objection to the use of SDM in day-to-day clinical care is that it “takes too much time.”47 Like all excellent communication skills, SDM is best incorporated into a clinician’s approach to patient care. With practice, we have found this can be accomplished during routine patient encounters—eg, when providing general counsel, giving advice, providing education, answering questions. Given the interdependent relationship between evidence-based medicine and SDM, particularly in preference-sensitive conditions, SDM skills can facilitate efficient decision-making and patient satisfaction.48 To that end, clinician training on SDM techniques, especially those that emphasize the 3 core elements, can be particularly beneficial. These broadly applicable skills can be leveraged in an “SDM mindset,” even outside traditional preference-sensitive care situations, to enhance clinician–patient rapport, relationship, and satisfaction.
The future of SDM
More than 2 decades after SDM was introduced to clinical care, there remains much to do to improve uptake in primary care settings. An important strategy to increase the successful uptake of SDM for the typical clinician and patient is to emphasize the approach to framing the topic and discussion rather than to overemphasize decision aids.23 Continuing the trend of well-designed and accessible tools for clinical decision support at the point of care for clinicians, in addition to the sustained evolution of decision aids for patients, should help minimize the need for extensive background knowledge on a topic, increase accessibility, and enable an effective partnership with patients in their health care decisions.46 Ongoing, well-structured study and the use of common proposed standards in developing these tools and studying SDM implementation will provide long-term quality assurance.44
SDM has a role to play in health equity
SDM has a clear role to play in addressing health inequities. Values vary from person to person, and individuals exist along a variety of cultural, community, and other spectra that strongly influence their perception of what is most important to them. Moreover, clinicians’ assumptions typically do not correspond to a patient’s actual desire to engage in SDM nor to their overall likelihood of choosing any given treatment option.46 While many clinicians believe patients do not participate in SDM because they simply do not wish to, a systematic review and thematic synthesis by Joseph-Williams et al46 suggested a great number of patients are instead unable to take part in SDM due to barriers such as a lack of time availability, challenges in the structure of the health care system itself, and factors specific to the clinician–patient interaction such as patients feeling as though they don’t have “permission” to participate in SDM.
SDM may improve health equity, adherence, and outcomes in certain groups. For example, SDM has been suggested as a potential means to address disparities in outcomes for populations disproportionately affected by hypertension.24 The increased implementation of SDM practices, coupled with a genuine partnership between patients and care teams, may improve patient–clinician communication, enhance understanding of patient concerns and goals, and perhaps ultimately increase patient engagement and adherence.
Continue to: Being the change
Being the change
Effective framing of medical decisions in the context of best medical evidence and eliciting patient values supports continued evolution in health care delivery. The traditional, physician-directed patriarchal “one-size-fits-all” approach has evolved. Through the continued development and implementation of SDM techniques, the clinician’s approach to care will continue to advance.
Ultimately, patients and clinicians both benefit from the use of SDM—the patient benefits from explicit framing of the medical facts most relevant to their decision, and the physician benefits from enhanced knowledge of the patient’s values and considerations. When done well, SDM increases the likelihood that patients will receive the best care possible, concordant with their values and preferences and within the context of their unique circumstances, leading to improved knowledge, adherence, outcomes, and satisfaction.
CORRESPONDENCE
Matthew Mackwood, MD, One Medical Center Drive, Lebanon, NH 03756; [email protected]
Shared decision-making (SDM), a methodology for improving patient communication, education, and outcomes in preference-sensitive health care decisions, debuted in 1989 with the Ottawa Decision Support Framework1 and the creation of the Foundation for Informed Medical Decision Making (now the Informed Medical Decisions Foundation).2 SDM enhances care by actively involving patients as partners in their health care choices. This approach can not only increase patient knowledge and satisfaction with care but also has a beneficial effect on adherence and outcomes.3-5
Despite the significant benefits of SDM, overall uptake of SDM practices remains low—even in situations in which SDM is a requirement for reimbursement, such as in lung cancer screening.6-8 The ever-shifting list of conditions that warrant the implementation of SDM in a family practice can be daunting. Our review seeks to highlight current best practices, review common situations in which SDM would be beneficial, and describe tools and frameworks that can facilitate effective SDM conversations in the typical primary care practice.
Preference-sensitive care
SDM is designed to enhance the role of patient preference, considering a patient’s own personal values for managing clinical conditions when more than one reasonable strategy exists. Such situations are often referred to as preference-sensitive conditions—ie, since evidence is limited on a single “best” treatment approach, patients’ values should impact decision-making.9 Examples of common preference-sensitive situations that include preventive care, screening, and chronic disease management are outlined in TABLE 1.
How to engage patients
In preference-sensitive care situations, SDM endeavors to address uncertainty by laying out what the options are, as well as providing risk and benefit data. This helps inform patients and guides providers about individual patient preference on whether to screen (eg, for average-risk female patients, breast cancer screening between ages 40-50 years). SDM can assist with determining whether to screen and if so, at what interval (eg, at 1- or 2-year intervals), while acknowledging that no single decision would be “best” for every patient.
While there are formalized tools to provide information to patients and help them consider their values and choices,3,10 SDM does not hinge on the use of an explicit tool.11-18 There are many approaches to and interpretations of SDM; the Ottawa Decision Support Framework reviews and details these many considerations at length in its 2020 revision.19 TABLE 211,15-17,20-22 highlights various SDM frameworks and the steps involved.
These 3 elements are commonamong SDM frameworks
In a 2019 systematic review, the following 3 elements were highlighted as the most prevalent over time across SDM frameworks and could be considered core to any meaningful SDM process23:
Explicit effort by 2 or more experts. The patient is an expert in their own values. The clinician, as an expert in relevant medical knowledge, clarifies that the current medical situation will benefit from incorporating the patient’s preferences to arrive at an appropriate shared decision.
Continue to: Effort to provide relevant...
Effort to provide relevant, evidence-based information. The clinician provides treatment options applicable to the patient, including the risks and benefits of each (potentially using one of the decision aids in the following section), to facilitate a values-based discussion and decision.
Patient support and assistance. The clinician assists the patient in navigating next steps based on the treatment decision and arranges necessary follow-up.
Various case studies and examples of SDM conversations have been published.15-17,24 Video examples of optimal25 and less than optimal26 SDM conversations are available on the Massachusetts General Hospital Health Decision Sciences Center website (https://mghdecisionsciences.org/) under the section “Tools & Training >> Videos about Shared Decision-Making.”27
SDM and motivational interviewing: Both can serve you well
SDM and motivational interviewing share many common elements,28 and it’s useful to take advantage of both techniques. Preference-sensitive care situations may require a combination of approaches.
For example, motivational interviewing may be a beneficial tool when dealing with a patient who is initially against colon cancer screening (evidence clearly favors screening in some form over no screening) and has a history of avoiding medical care. Through an SDM approach, motivational interviewing may identify an opportunity to prioritize the patient’s preference to minimize medical intervention by ensuring that the patient is familiar with noninvasive colon cancer screening options. After sufficiently eliciting a patient value aligned with screening and engaging the patient’s own motivations for follow-through, a more thorough SDM conversation can then help clarify the best options.
Continue to: A proposed framework...
A proposed framework for identifying whether SDM or motivational interviewing is appropriate is featured in the FIGURE. In their paper, Elwyn et al29 further define and discuss the distinguishing features and roles of SDM and behavioral support interventions, such as motivational interviewing.
Tools to facilitate SDM conversations
Decision aids
SDM has historically been operationalized for study through the use of decision aids: formally structured materials describing, in detail, the available treatment options under consideration, including the relative risks and benefits. Frequently, such tools are framed from a patient perspective, with digestible information presented in a multimedia format (eg, visual risk representations of “1 out of 10” in an icon array vs “10%”), leveraging effective risk communication strategies (eg, absolute risk rates vs relative risks and “balanced framing”). For instance, the physician would note that 1 out of 10 patients have an outcome and 9 out of 10 do not.
Additional information on risk communication skills is available at the Agency for Healthcare Research and Quality’s webpage on the SHARE approach (www.ahrq.gov/health-literacy/professional-training/shared-decision/tool/resource-5.html).30 Decision aids have been shown to enhance health literacy, increase patient knowledge and understanding, and promote the frequency of “values-concordant” choices.3
Point-of-care decision support
A more recent trend in SDM is increased development and use of point-of-care decision support tools that emphasize information reflecting individual patient circumstances (eg, leveraging heart risk calculators to individualize risk conversations when considering statins for primary prevention of heart disease based on lipids and other demographic factors). An advantage to using such tools is that they provide “just-in-time” detailed and personalized evidence-based information, guiding the discussion and minimizing the need for an extensive advance review of each topic by emphasizing the “key facts.” To ensure effective use of SDM tools, avoid oversaturating patients with data, maintain a focus on patient values, and engage in a 2-way discussion that considers the unique mix of preferences and circumstances.
Proprietorship of tools and decision aids
Until recently, SDM materials were compiled primarily within not-for-profit entities such as the Informed Medical Decisions Foundation, which became a division of Healthwise in 2014.2 In recent years, there has been an increasing trend of for-profit companies acquiring or developing their own decision aids and decision-support tools, eg, EBSCO Health (Option Grid31 and Health Decision32) and Wolters Kluwer (EMMI33). The extensive work of curating SDM and educational tools to keep up with best medical evidence is costly, and the effort to defray costs can give rise to potential conflicts of interest. Therefore, the interests of the creators of such tools—whether commercial or academic—should always be considered when evaluating the use of a given decision-support tool.
Contunue to: An online listing...
An online listing of publicly available decision aids is maintained by the Ottawa Hospital Research Institute,34 which reviews decision-aid quality by objective criteria in addition to providing direct links to resources.35 EBSCO health’s DynaMed Decisions also maintains a list of shared decision-making tools (https://decisions.dynamed.com/).
Effectiveness of decision aids
There is a robust body of research focused on decision aids for SDM. An example is a 2017 Cochrane review that concluded SDM facilitated by decision aids significantly improved patient engagement and satisfaction and increased patient knowledge, accuracy in risk perception, and congruency in making value-aligned care choices. Beyond decision aids, studies show SDM practices increase patient knowledge, engagement, and satisfaction, particularly among low-literacy or disadvantaged groups.4,36,37
Barriers to implementation
Clinicians frequently cite time constraints as a barrier to successfully implementing SDM in practice, although studies that explicitly compare the time/cost of SDM to “usual care” are limited.38 A Cochrane review of 105 studies evaluating the use of decision aids vs usual care found that only 10 studies examined the effects of decision aids on the length of the office visit.3 Two of these studies (one evaluating decision aids for prenatal diagnostic screening and the other for atrial fibrillation) found a median increase in visit length of 2.6 minutes (24 vs 21; 7.5% increase); the other 8 studies reported no increase in visit length.3
Studies focusing on the time impact of using SDM in an office visit, rather than decision aids as a proxy for SDM, are few. A study by Braddock et al39 assessed the elements of SDM, measuring the quality and the time-efficiency of 141 surgical decision-making interactions between patients and 89 orthopedic surgeons. Researchers found 57% of the discussions had elements of SDM sufficient to meet a “reasonable minimum” standard (eg, nature of the decision, patient’s role, patient’s preference). These conversations took 20 minutes compared to a median of 16 minutes for a more typical conversation.39 The study used audiotaped interviews, which were coded and scored based on the presence of SDM elements; treatment choice, outcomes of the choices, and satisfaction were not reported. A separate study by Loh et al5 looking at SDM in primary care for patients with depression sought to determine whether patient participation in the decision-making process improved treatment adherence, outcomes, and patient satisfaction without increasing consultation time. This study, which included 23 physicians and 405 patients, found improved participation and satisfaction outcomes in the intervention group and no difference in consultation time between the intervention and control groups.5
Care costs appear similar
The impact of SDM on cost and patient-centered clinical outcomes is not well defined. One study by Arterburn et al40 found decision aids and SDM lowered the rates of elective surgery for hip and knee arthritis, as well as associated health system costs. However, other studies suggest this phenomenon likely varies by demographic, demonstrating that certain populations with a generally lower baseline preference for surgery on average chose surgery more often after SDM interventions.41,42 Evidence does support patient acceptability and efficacy for SDM in longitudinal care when the approach is incorporated into decisions over multiple visits or long-term decisions for chronic conditions.4 Studies comparing patient groups receiving decision aids to usual care have shown similar or lower overall care costs for the decision-aid group.3
Continue to: Limitations to the evidence
Limitations to the evidence
Systematic reviews routinely note substantial heterogeneity in the literature on SDM use, owing to variable definitions of what steps are essential to constitute an SDM intervention and a wide variety of outcome measures used, as well as the broad range of conditions to which SDM is potentially applicable.3,4,10,36,37,43-45 While efforts in SDM education, uptake, and study frequently adapt frameworks such as those outlined in TABLE 2,11,15-17,20-22 there is as yet no one consensus on the “best” approach to SDM, and explicit study of any given approach is limited.18,23,36,44-46 There remains a clear need to improve the uptake of existing reporting standards to ensure the future evidence base will be of high quality.44 In the meantime, a large portion of the impetus for expanding the use of SDM remains based on principles of effective communication and championing a patient-centered philosophy of care.
Cultivating an effective approach
An oft-cited objection to the use of SDM in day-to-day clinical care is that it “takes too much time.”47 Like all excellent communication skills, SDM is best incorporated into a clinician’s approach to patient care. With practice, we have found this can be accomplished during routine patient encounters—eg, when providing general counsel, giving advice, providing education, answering questions. Given the interdependent relationship between evidence-based medicine and SDM, particularly in preference-sensitive conditions, SDM skills can facilitate efficient decision-making and patient satisfaction.48 To that end, clinician training on SDM techniques, especially those that emphasize the 3 core elements, can be particularly beneficial. These broadly applicable skills can be leveraged in an “SDM mindset,” even outside traditional preference-sensitive care situations, to enhance clinician–patient rapport, relationship, and satisfaction.
The future of SDM
More than 2 decades after SDM was introduced to clinical care, there remains much to do to improve uptake in primary care settings. An important strategy to increase the successful uptake of SDM for the typical clinician and patient is to emphasize the approach to framing the topic and discussion rather than to overemphasize decision aids.23 Continuing the trend of well-designed and accessible tools for clinical decision support at the point of care for clinicians, in addition to the sustained evolution of decision aids for patients, should help minimize the need for extensive background knowledge on a topic, increase accessibility, and enable an effective partnership with patients in their health care decisions.46 Ongoing, well-structured study and the use of common proposed standards in developing these tools and studying SDM implementation will provide long-term quality assurance.44
SDM has a role to play in health equity
SDM has a clear role to play in addressing health inequities. Values vary from person to person, and individuals exist along a variety of cultural, community, and other spectra that strongly influence their perception of what is most important to them. Moreover, clinicians’ assumptions typically do not correspond to a patient’s actual desire to engage in SDM nor to their overall likelihood of choosing any given treatment option.46 While many clinicians believe patients do not participate in SDM because they simply do not wish to, a systematic review and thematic synthesis by Joseph-Williams et al46 suggested a great number of patients are instead unable to take part in SDM due to barriers such as a lack of time availability, challenges in the structure of the health care system itself, and factors specific to the clinician–patient interaction such as patients feeling as though they don’t have “permission” to participate in SDM.
SDM may improve health equity, adherence, and outcomes in certain groups. For example, SDM has been suggested as a potential means to address disparities in outcomes for populations disproportionately affected by hypertension.24 The increased implementation of SDM practices, coupled with a genuine partnership between patients and care teams, may improve patient–clinician communication, enhance understanding of patient concerns and goals, and perhaps ultimately increase patient engagement and adherence.
Continue to: Being the change
Being the change
Effective framing of medical decisions in the context of best medical evidence and eliciting patient values supports continued evolution in health care delivery. The traditional, physician-directed patriarchal “one-size-fits-all” approach has evolved. Through the continued development and implementation of SDM techniques, the clinician’s approach to care will continue to advance.
Ultimately, patients and clinicians both benefit from the use of SDM—the patient benefits from explicit framing of the medical facts most relevant to their decision, and the physician benefits from enhanced knowledge of the patient’s values and considerations. When done well, SDM increases the likelihood that patients will receive the best care possible, concordant with their values and preferences and within the context of their unique circumstances, leading to improved knowledge, adherence, outcomes, and satisfaction.
CORRESPONDENCE
Matthew Mackwood, MD, One Medical Center Drive, Lebanon, NH 03756; [email protected]
1. Ottawa Hospital Research Institute. Mission and history—patient decision aids. Accessed October 20, 2022. https://decisionaid.ohri.ca/mission.html
2. Healthwise. Informed Medical Decision Foundation. Accessed October 20, 2022. www.healthwise.org/specialpages/imdf.aspx
3. Stacey D, Légaré F, Lewis K, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2017;4:CD001431. doi: 10.1002/14651858.CD001431.pub5
4. Joosten EAG, DeFuentes-Merillas L, De Weert G, et al. Systematic review of the effects of shared decision-making on patient satisfaction, treatment adherence and health status. Psychother Psychosom. 2008;77:219-226. doi: 10.1159/000126073
5. Loh A, Simon D, Wills CE, et al. The effects of a shared decision-making intervention in primary care of depression: a cluster-randomized controlled trial. Patient Educ Couns. 2007;67:324-332. doi: 10.1016/j.pec.2007.03.023
6. Goodwin JS, Nishi S, Zhou J, et al. Use of the shared decision-making visit for lung cancer screening among Medicare enrollees. JAMA Intern Med. 2019;179:716-718. doi: 10.1001/jamain ternmed.2018.6405
7. Brenner AT, Malo TL, Margolis M, et al. Evaluating shared decision-making for lung cancer screening. JAMA Intern Med. 2018;178:1311-1316. doi: 10.1001/jamainternmed.2018.3054
8. Nishi SPE, Lowenstein LM, Mendoza TR, et al. Shared decision-making for lung cancer screening: how well are we “sharing”? Chest. 2021;160:330-340. doi: 10.1016/j.chest.2021.01.041
9. Fisher ES, Wennberg JE. Health care quality, geographic variations, and the challenge of supply-sensitive care. Perspect Biol Med. 2003;46:69-79. doi: 10.1353/pbm.2003.000
10. Hoefel L, O’Connor AM, Lewis KB, et al. 20th Anniversary update of the Ottawa decision support framework part 1: a systematic review of the decisional needs of people making health or social decisions. Med Decis Making. 2020;40:555-581. doi: 10.1177/0272989X20936209
11. Sheridan SL, Harris RP, Woolf SH. Shared decision-making about screening and chemoprevention: a suggested approach from the U.S. Preventive Services Task Force. Am J Prev Med. 2004;26:56-66. doi: 10.1016/j.amepre.2003.09.011
12. Elwyn G, Frosch D, Thomson R, et al. Shared decision-making: a model for clinical practice. J Gen Intern Med. 2012;27:1361-1367. doi: 10.1007/s11606-012-2077-6
13. Fowler FJ Jr, Barry MJ, Sepucha KR, et al. Let’s require patients to review a high-quality decision aid before receiving important tests and treatments. Med Care. 2021;59:1-5. doi: 10.1097/MLR.0000000000001440
14. Hargraves IG, Fournier AK, Montori VM, et al. Generalized shared decision-making approaches and patient problems. Adapting AHRQ’s SHARE approach for purposeful SDM. Patient Educ Couns. 2020;103:2192-2199. doi: 10.1016/j.pec.2020.06.022
15. Price D. Sharing clinical decisions by discussing evidence with patients. Perm J. 2005;9:70-73. doi: 10.7812/TPP/05-006
16. Schrager S, Phillips G, Burnside E. Shared decision-making in cancer screening. Fam Pract Manag. 2017;24:5-10.
17. Stiggelbout AM, Pieterse AH, De Haes JCJM. Shared decision-making: concepts, evidence, and practice. Patient Educ Couns. 2015;98:1172-1179. doi: 10.1016/j.pec.2015.06.022
18. Hargraves I, LeBlanc A, Shah ND, et al. Shared decision-making: the need for patient-clinician conversation, not just information. Health Aff (Milford). 2016;35:627-629. doi: 10.1377/hlthaff.2015.1354
19. Stacey D, Légaré F, Boland L, et al. 20th anniversary Ottawa Decision Support Framework: part 3 overview of systematic reviews and updated framework. Med Decis Making. 2020;40:379-398. doi: 10.1177/0272989X20911870
20. Agency for Health Research and Quality. The SHARE Approach. Accessed November 24, 2021, www.ahrq.gov/health-literacy/professional-training/shared-decision/index.html
21. Elwyn G, Durand MA, Song J, et al. A three-talk model for shared decision-making: multistage consultation process. BMJ. 2017;359:j4891. doi: 10.1136/bmj.j4891
22. Healthwise – Informed Medical Decisions Foundation. The six steps of shared decision making. Accessed December 21, 2022. http://cdn-www.informedmedicaldecisions.org/imdfdocs/SixStepsSDM_CARD.pdf
23. Bomhof-Roordink H, Gärtner FR, Stiggelbout AM, et al. Key components of shared decision-making models: a systematic review. BMJ Open. 2019;9:e031763. doi: 10.1136/bmjopen-2019-03176
24. Langford AT, Williams SK, Applegate M, et al. Partnerships to improve shared decision making for patients with hypertension - health equity implications. Ethn Dis. 2019;29(suppl 1):97-102. doi: 10.18865/ed.29.S1.97
25. MGH Health Decision Sciences Center. High cholesterol visit version 2. YouTube. February 28, 2020. Accessed October 20, 2022. www.youtube.com/watch?v=o2mZ9duJW0A
26. MGH Health Decision Sciences Center. High cholesterol visit version 1. YouTube. February 28, 2020. Accessed October 20, 2022. www.youtube.com/watch?v=0NdDMKS8DwU
27. MGH Health Decision Sciences Center. Videos about shared decision-making. Accessed October 20, 2022. https://mghdecision sciences.org/tools-training/sdmvideos/
28. Elwyn G, Dehlendorf C, Epstein RM, et al. Shared decision-making and motivational interviewing: achieving patient-centered care across the spectrum of health care problems. Ann Fam Med. 2014;12:270-275. doi: 10.1370/afm.1615. Published correction in Ann Fam Med. 2014;12:301. doi: 10.1370/afm.1674
29. Elwyn G, Frosch D, Rollnick S. Dual equipoise shared decision-making: definitions for decision and behaviour support interventions. Implement Sci. 2009;4:75. doi: 10.1186/1748-5908-4-75
30. Agency for Health Research and Quality. The SHARE approach—communicating numbers to your patients: a reference guide for health care providers. Workshop curriculum: tool 5. Accessed October 21, 2022. www.ahrq.gov/health-literacy/professional-training/shared-decision/tool/resource-5.html
31. EBSCO. Accessed October 21, 2022. https://optiongrid.ebsco.com/about
32. HealthDecision. HealthDecision - Decision Support & Shared decision-making for Clinicians & Patients at the Point of Care. Accessed November 24, 2021. www.healthdecision.com/ [Now DynaMed Decisions, https://decisions.dynamed.com/]
33. Wolters Kluwer. EmmiEngage: guide patients in their care journeys. Accessed October 21, 2022. www.wolterskluwer.com/en/solutions/emmi/emmi-engage
34. The Ottawa Hospital Research Institute. Patient decision aids. Accessed October 21, 2022. https://decisionaid.ohri.ca/Azinvent.php
35. The Ottawa Hospital Research Institute. Alphabetical list of decision aids by health topic. Accessed October 21, 2022. https://decisionaid.ohri.ca/AZlist.html
36. Shay LA, Lafata JE. Where is the evidence? A systematic review of shared decision-making and patient outcomes. Med Decis Making. 2015;35:114-131. doi: 10.1177/0272989X14551638
37. Durand M-A, Carpenter L, Dolan H, et al. Do interventions designed to support shared decision-making reduce health inequalities? A systematic review and meta-analysis. PloS One. 2014;9:e94670. doi: 10.1371/journal.pone.0094670
38. Friedberg MW, Van Busum K, Wexler R, et al. A demonstration of shared decision-making in primary care highlights barriers to adoption and potential remedies. Health Aff (Millwood). 2013;32:268-275. doi: 10.1377/hlthaff.2012.1084
39. Braddock C 3rd, Hudak PL, Feldman JJ, et al. “Surgery is certainly one good option”: quality and time-efficiency of informed decision-making in surgery. J Bone Joint Surg Am. 2008;90:1830-1838. doi: 10.2106/JBJS.G.00840
40. Arterburn D, Wellman R, Westbrook E, et al. Introducing decision aids at Group Health was linked to sharply lower hip and knee surgery rates and costs. Health Aff (Millwood). 2012;31:2094-2104. doi: 10.1377/hlthaff.2011.0686.
41. Vina ER, Richardson D, Medvedeva E, et al. Does a patient-centered educational intervention affect African-American access to knee replacement? A randomized trial. Clin Orthop Relat Res. 2016;474:1755-1764. doi: 10.1007/s11999-016-4834-z
42. Ibrahim SA, Blum M, Lee GC, et al. Effect of a decision aid on access to total knee replacement for Black patients with osteoarthritis of the knee: a randomized clinical trial. JAMA Surg. 2017;152:e164225. doi: 10.1001/jamasurg.2016.4225
43. Chewning B, Bylund CL, Shah B, et al. Patient preferences for shared decisions: a systematic review. Patient Educ Couns. 2012;86:9-18. doi: 10.1016/j.pec.2011.02.004
44. Trenaman L, Jansen J, Blumenthal-Barby J, et al. Are we improving? Update and critical appraisal of the reporting of decision process and quality measures in trials evaluating patient decision aids. Med Decis Making. 2021;41:954-959. doi: 10.1177/0272989x211011120
45. Hoefel L, Lewis KB, O’Connor A, et al. 20th anniversary update of the Ottawa decision support framework: part 2 subanalysis of a systematic review of patient decision aids. Med Decis Making. 2020;40:522-539. doi: 10.1177/0272989X20924645
46. Joseph-Williams N, Elwyn G, Edwards A. Knowledge is not power for patients: a systematic review and thematic synthesis of patient-reported barriers and facilitators to shared decision-making. Patient Educ Couns. 2014;94:291-309. doi: 10.1016/j.pec.2013.10.031
47. Légaré F, Ratté S, Gravel K, et al. Barriers and facilitators to implementing shared decision-making in clinical practice: update of a systematic review of health professionals’ perceptions. Patient Educ Couns. 2008;73:526-535. doi: 10.1016/ j.pec.2008.07.018
48. Hoffmann TC, Montori VM, Del Mar C. The connection between evidence-based medicine and shared decision-making. JAMA. 2014;312:1295-1296. doi:10.1001/jama.2014.10186
1. Ottawa Hospital Research Institute. Mission and history—patient decision aids. Accessed October 20, 2022. https://decisionaid.ohri.ca/mission.html
2. Healthwise. Informed Medical Decision Foundation. Accessed October 20, 2022. www.healthwise.org/specialpages/imdf.aspx
3. Stacey D, Légaré F, Lewis K, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2017;4:CD001431. doi: 10.1002/14651858.CD001431.pub5
4. Joosten EAG, DeFuentes-Merillas L, De Weert G, et al. Systematic review of the effects of shared decision-making on patient satisfaction, treatment adherence and health status. Psychother Psychosom. 2008;77:219-226. doi: 10.1159/000126073
5. Loh A, Simon D, Wills CE, et al. The effects of a shared decision-making intervention in primary care of depression: a cluster-randomized controlled trial. Patient Educ Couns. 2007;67:324-332. doi: 10.1016/j.pec.2007.03.023
6. Goodwin JS, Nishi S, Zhou J, et al. Use of the shared decision-making visit for lung cancer screening among Medicare enrollees. JAMA Intern Med. 2019;179:716-718. doi: 10.1001/jamain ternmed.2018.6405
7. Brenner AT, Malo TL, Margolis M, et al. Evaluating shared decision-making for lung cancer screening. JAMA Intern Med. 2018;178:1311-1316. doi: 10.1001/jamainternmed.2018.3054
8. Nishi SPE, Lowenstein LM, Mendoza TR, et al. Shared decision-making for lung cancer screening: how well are we “sharing”? Chest. 2021;160:330-340. doi: 10.1016/j.chest.2021.01.041
9. Fisher ES, Wennberg JE. Health care quality, geographic variations, and the challenge of supply-sensitive care. Perspect Biol Med. 2003;46:69-79. doi: 10.1353/pbm.2003.000
10. Hoefel L, O’Connor AM, Lewis KB, et al. 20th Anniversary update of the Ottawa decision support framework part 1: a systematic review of the decisional needs of people making health or social decisions. Med Decis Making. 2020;40:555-581. doi: 10.1177/0272989X20936209
11. Sheridan SL, Harris RP, Woolf SH. Shared decision-making about screening and chemoprevention: a suggested approach from the U.S. Preventive Services Task Force. Am J Prev Med. 2004;26:56-66. doi: 10.1016/j.amepre.2003.09.011
12. Elwyn G, Frosch D, Thomson R, et al. Shared decision-making: a model for clinical practice. J Gen Intern Med. 2012;27:1361-1367. doi: 10.1007/s11606-012-2077-6
13. Fowler FJ Jr, Barry MJ, Sepucha KR, et al. Let’s require patients to review a high-quality decision aid before receiving important tests and treatments. Med Care. 2021;59:1-5. doi: 10.1097/MLR.0000000000001440
14. Hargraves IG, Fournier AK, Montori VM, et al. Generalized shared decision-making approaches and patient problems. Adapting AHRQ’s SHARE approach for purposeful SDM. Patient Educ Couns. 2020;103:2192-2199. doi: 10.1016/j.pec.2020.06.022
15. Price D. Sharing clinical decisions by discussing evidence with patients. Perm J. 2005;9:70-73. doi: 10.7812/TPP/05-006
16. Schrager S, Phillips G, Burnside E. Shared decision-making in cancer screening. Fam Pract Manag. 2017;24:5-10.
17. Stiggelbout AM, Pieterse AH, De Haes JCJM. Shared decision-making: concepts, evidence, and practice. Patient Educ Couns. 2015;98:1172-1179. doi: 10.1016/j.pec.2015.06.022
18. Hargraves I, LeBlanc A, Shah ND, et al. Shared decision-making: the need for patient-clinician conversation, not just information. Health Aff (Milford). 2016;35:627-629. doi: 10.1377/hlthaff.2015.1354
19. Stacey D, Légaré F, Boland L, et al. 20th anniversary Ottawa Decision Support Framework: part 3 overview of systematic reviews and updated framework. Med Decis Making. 2020;40:379-398. doi: 10.1177/0272989X20911870
20. Agency for Health Research and Quality. The SHARE Approach. Accessed November 24, 2021, www.ahrq.gov/health-literacy/professional-training/shared-decision/index.html
21. Elwyn G, Durand MA, Song J, et al. A three-talk model for shared decision-making: multistage consultation process. BMJ. 2017;359:j4891. doi: 10.1136/bmj.j4891
22. Healthwise – Informed Medical Decisions Foundation. The six steps of shared decision making. Accessed December 21, 2022. http://cdn-www.informedmedicaldecisions.org/imdfdocs/SixStepsSDM_CARD.pdf
23. Bomhof-Roordink H, Gärtner FR, Stiggelbout AM, et al. Key components of shared decision-making models: a systematic review. BMJ Open. 2019;9:e031763. doi: 10.1136/bmjopen-2019-03176
24. Langford AT, Williams SK, Applegate M, et al. Partnerships to improve shared decision making for patients with hypertension - health equity implications. Ethn Dis. 2019;29(suppl 1):97-102. doi: 10.18865/ed.29.S1.97
25. MGH Health Decision Sciences Center. High cholesterol visit version 2. YouTube. February 28, 2020. Accessed October 20, 2022. www.youtube.com/watch?v=o2mZ9duJW0A
26. MGH Health Decision Sciences Center. High cholesterol visit version 1. YouTube. February 28, 2020. Accessed October 20, 2022. www.youtube.com/watch?v=0NdDMKS8DwU
27. MGH Health Decision Sciences Center. Videos about shared decision-making. Accessed October 20, 2022. https://mghdecision sciences.org/tools-training/sdmvideos/
28. Elwyn G, Dehlendorf C, Epstein RM, et al. Shared decision-making and motivational interviewing: achieving patient-centered care across the spectrum of health care problems. Ann Fam Med. 2014;12:270-275. doi: 10.1370/afm.1615. Published correction in Ann Fam Med. 2014;12:301. doi: 10.1370/afm.1674
29. Elwyn G, Frosch D, Rollnick S. Dual equipoise shared decision-making: definitions for decision and behaviour support interventions. Implement Sci. 2009;4:75. doi: 10.1186/1748-5908-4-75
30. Agency for Health Research and Quality. The SHARE approach—communicating numbers to your patients: a reference guide for health care providers. Workshop curriculum: tool 5. Accessed October 21, 2022. www.ahrq.gov/health-literacy/professional-training/shared-decision/tool/resource-5.html
31. EBSCO. Accessed October 21, 2022. https://optiongrid.ebsco.com/about
32. HealthDecision. HealthDecision - Decision Support & Shared decision-making for Clinicians & Patients at the Point of Care. Accessed November 24, 2021. www.healthdecision.com/ [Now DynaMed Decisions, https://decisions.dynamed.com/]
33. Wolters Kluwer. EmmiEngage: guide patients in their care journeys. Accessed October 21, 2022. www.wolterskluwer.com/en/solutions/emmi/emmi-engage
34. The Ottawa Hospital Research Institute. Patient decision aids. Accessed October 21, 2022. https://decisionaid.ohri.ca/Azinvent.php
35. The Ottawa Hospital Research Institute. Alphabetical list of decision aids by health topic. Accessed October 21, 2022. https://decisionaid.ohri.ca/AZlist.html
36. Shay LA, Lafata JE. Where is the evidence? A systematic review of shared decision-making and patient outcomes. Med Decis Making. 2015;35:114-131. doi: 10.1177/0272989X14551638
37. Durand M-A, Carpenter L, Dolan H, et al. Do interventions designed to support shared decision-making reduce health inequalities? A systematic review and meta-analysis. PloS One. 2014;9:e94670. doi: 10.1371/journal.pone.0094670
38. Friedberg MW, Van Busum K, Wexler R, et al. A demonstration of shared decision-making in primary care highlights barriers to adoption and potential remedies. Health Aff (Millwood). 2013;32:268-275. doi: 10.1377/hlthaff.2012.1084
39. Braddock C 3rd, Hudak PL, Feldman JJ, et al. “Surgery is certainly one good option”: quality and time-efficiency of informed decision-making in surgery. J Bone Joint Surg Am. 2008;90:1830-1838. doi: 10.2106/JBJS.G.00840
40. Arterburn D, Wellman R, Westbrook E, et al. Introducing decision aids at Group Health was linked to sharply lower hip and knee surgery rates and costs. Health Aff (Millwood). 2012;31:2094-2104. doi: 10.1377/hlthaff.2011.0686.
41. Vina ER, Richardson D, Medvedeva E, et al. Does a patient-centered educational intervention affect African-American access to knee replacement? A randomized trial. Clin Orthop Relat Res. 2016;474:1755-1764. doi: 10.1007/s11999-016-4834-z
42. Ibrahim SA, Blum M, Lee GC, et al. Effect of a decision aid on access to total knee replacement for Black patients with osteoarthritis of the knee: a randomized clinical trial. JAMA Surg. 2017;152:e164225. doi: 10.1001/jamasurg.2016.4225
43. Chewning B, Bylund CL, Shah B, et al. Patient preferences for shared decisions: a systematic review. Patient Educ Couns. 2012;86:9-18. doi: 10.1016/j.pec.2011.02.004
44. Trenaman L, Jansen J, Blumenthal-Barby J, et al. Are we improving? Update and critical appraisal of the reporting of decision process and quality measures in trials evaluating patient decision aids. Med Decis Making. 2021;41:954-959. doi: 10.1177/0272989x211011120
45. Hoefel L, Lewis KB, O’Connor A, et al. 20th anniversary update of the Ottawa decision support framework: part 2 subanalysis of a systematic review of patient decision aids. Med Decis Making. 2020;40:522-539. doi: 10.1177/0272989X20924645
46. Joseph-Williams N, Elwyn G, Edwards A. Knowledge is not power for patients: a systematic review and thematic synthesis of patient-reported barriers and facilitators to shared decision-making. Patient Educ Couns. 2014;94:291-309. doi: 10.1016/j.pec.2013.10.031
47. Légaré F, Ratté S, Gravel K, et al. Barriers and facilitators to implementing shared decision-making in clinical practice: update of a systematic review of health professionals’ perceptions. Patient Educ Couns. 2008;73:526-535. doi: 10.1016/ j.pec.2008.07.018
48. Hoffmann TC, Montori VM, Del Mar C. The connection between evidence-based medicine and shared decision-making. JAMA. 2014;312:1295-1296. doi:10.1001/jama.2014.10186
42-year-old man • altered mental status • vomiting • agitation • Dx?
THE CASE
A 42-year-old man with a history of bipolar disorder with psychotic features, asthma, and chronic pain was brought to the emergency department (ED) by his father due to altered mental status, coughing, and vomiting. The patient was unable to recall events earlier in the day in detail but stated that he remembered using his inhaler for his cough, which seemed to precipitate his vomiting. The patient’s home medications were listed as albuterol 90 mcg, methadone 90 mg/d, and quetiapine 100 mg.
While in the ED, the patient was tachycardic (heart rate, 102 bpm), but all other vital signs were normal. He was agitated and at one point required restraints. On exam, he had epigastric tenderness to palpation, and his lungs were clear to auscultation bilaterally.
Blood work was notable for an elevated lipase level of 729 U/L (normal range, 0-160 U/L). Complete blood count, comprehensive metabolic panel, urinalysis, chest x-ray, and alcohol levels were unremarkable. Computed tomography of the abdomen/pelvis and ultrasound of the abdomen showed excess stool and gallbladder sludge without cholecystitis.
The patient was treated symptomatically with intravenous fluids, ondansetron, and lorazepam. He was admitted with a working diagnosis of acute pancreatitis and possible acute psychosis in the setting of schizophrenia.
A few hours after presentation, the patient returned to his baseline mental status. Over the next 24 hours, his lipase level trended down to normal.
THE DIAGNOSIS
After the patient’s discharge, the pharmacist from his primary care provider’s office called as part of the routine post-hospital follow-up and a medication reconciliation was performed. During this call, the patient stated he had used 2 different nasal sprays prior to his ED presentation.
The pharmacist asked him to read the names of each medication. He related the first was naloxone and the second, fluticasone (neither of which was included on his medication list). Upon further questioning, the pharmacist elicited clarification from the patient that he had, in fact, taken 2 doses of naloxone, shortly after which his vomiting began.
Continue to: This additional history...
This additional history suggested the patient’s true diagnosis was acute opioid withdrawal precipitated by his accidental self-administration of naloxone.
DISCUSSION
Naloxone is a pure mu-opioid receptor antagonist that is used for opioid overdose.1 In the past decade, in response to the opioid epidemic, naloxone has become increasingly available in the community as a way of decreasing opioid-related deaths.1,2 The US Food and Drug Administration recommends that all patients who are prescribed opioids for pain or opioid use disorder, as well as those who are at increased risk for opioid overdose, should be prescribed naloxone and educated on its use. Patients who received a naloxone prescription from their primary care provider have been found to have 47% fewer opioid-related ED visits.3
Quick effects, potential for complications. Use of naloxone can rapidly induce opioid withdrawal symptoms, including gastrointestinal effects, tachycardia, and agitation, as well as diaphoresis, shivering, lacrimation, tremor, anxiety, mydriasis, and hypertension. Naloxone use can also lead to severe complications, such as violent behaviors, ventricular tachycardia or fibrillation, asystole, or pulmonary edema, in the period immediately following administration.4 These effects most often subside within 20 to 60 minutes after administration of naloxone, as the antagonist effect wears off.
The treatment of naloxone toxicity is supportive, with particular attention paid to the patient’s mental and respiratory status.
Our patient was advised by his primary care physician on the proper use of all of his medications, including nasal sprays. The clinic pharmacist also met with him for an additional educational session on the proper use of naloxone.
Continue to: THE TAKEAWAY
THE TAKEAWAY
Given the widespread use of naloxone, proper education and counselling regarding this medication is crucial. Patients should be advised of what to expect after its use. In addition, physicians should always maintain updated patient medication lists, ensuring that they include naloxone if it has been prescribed for use as needed for opioid reversal, to assist in the emergency treatment of affected patients.5
CORRESPONDENCE
Erik Weitz, DO, Troy Beaumont Family Medicine Residency, 44250 Dequindre Road, Sterling Heights, MI 48314; [email protected]
1. Parkin S, Neale J, Brown C, et al. Opioid overdose reversals using naloxone in New York City by people who use opioids: implications for public health and overdose harm reduction approaches from a qualitative study. Int J Drug Policy. 2020;79:102751. doi: 10.1016/j.drugpo.2020.102751
2. Rzasa Lynn R, Galinkin JL. Naloxone dosage for opioid reversal: current evidence and clinical implications. Ther Adv Drug Saf. 2018;9:63-88. doi: 10.1177/2042098617744161
3. Coffin PO, Behar E, et al. Nonrandomized intervention study of naloxone coprescription for primary care patients receiving long-term opioid therapy for pain. Ann Intern Med. 2016;165:245-52. doi: 10.7326/M15-2771
4. Osterwalder JJ. Naloxone—for intoxications with intravenous heroin and heroin mixtures—harmless or hazardous? A prospective clinical study. J Toxicol Clin Toxicol. 1996;34:409-416. doi: 10.3109/15563659609013811
5. Kwan JL, Lo L, Sampson M, et al. Medication reconciliation during transitions of care as a patient safety strategy: a systematic review. Ann Intern Med. 2013;158(5 pt 2):397-403. doi: 10.7326/0003-4819-158-5-201303051-00006
THE CASE
A 42-year-old man with a history of bipolar disorder with psychotic features, asthma, and chronic pain was brought to the emergency department (ED) by his father due to altered mental status, coughing, and vomiting. The patient was unable to recall events earlier in the day in detail but stated that he remembered using his inhaler for his cough, which seemed to precipitate his vomiting. The patient’s home medications were listed as albuterol 90 mcg, methadone 90 mg/d, and quetiapine 100 mg.
While in the ED, the patient was tachycardic (heart rate, 102 bpm), but all other vital signs were normal. He was agitated and at one point required restraints. On exam, he had epigastric tenderness to palpation, and his lungs were clear to auscultation bilaterally.
Blood work was notable for an elevated lipase level of 729 U/L (normal range, 0-160 U/L). Complete blood count, comprehensive metabolic panel, urinalysis, chest x-ray, and alcohol levels were unremarkable. Computed tomography of the abdomen/pelvis and ultrasound of the abdomen showed excess stool and gallbladder sludge without cholecystitis.
The patient was treated symptomatically with intravenous fluids, ondansetron, and lorazepam. He was admitted with a working diagnosis of acute pancreatitis and possible acute psychosis in the setting of schizophrenia.
A few hours after presentation, the patient returned to his baseline mental status. Over the next 24 hours, his lipase level trended down to normal.
THE DIAGNOSIS
After the patient’s discharge, the pharmacist from his primary care provider’s office called as part of the routine post-hospital follow-up and a medication reconciliation was performed. During this call, the patient stated he had used 2 different nasal sprays prior to his ED presentation.
The pharmacist asked him to read the names of each medication. He related the first was naloxone and the second, fluticasone (neither of which was included on his medication list). Upon further questioning, the pharmacist elicited clarification from the patient that he had, in fact, taken 2 doses of naloxone, shortly after which his vomiting began.
Continue to: This additional history...
This additional history suggested the patient’s true diagnosis was acute opioid withdrawal precipitated by his accidental self-administration of naloxone.
DISCUSSION
Naloxone is a pure mu-opioid receptor antagonist that is used for opioid overdose.1 In the past decade, in response to the opioid epidemic, naloxone has become increasingly available in the community as a way of decreasing opioid-related deaths.1,2 The US Food and Drug Administration recommends that all patients who are prescribed opioids for pain or opioid use disorder, as well as those who are at increased risk for opioid overdose, should be prescribed naloxone and educated on its use. Patients who received a naloxone prescription from their primary care provider have been found to have 47% fewer opioid-related ED visits.3
Quick effects, potential for complications. Use of naloxone can rapidly induce opioid withdrawal symptoms, including gastrointestinal effects, tachycardia, and agitation, as well as diaphoresis, shivering, lacrimation, tremor, anxiety, mydriasis, and hypertension. Naloxone use can also lead to severe complications, such as violent behaviors, ventricular tachycardia or fibrillation, asystole, or pulmonary edema, in the period immediately following administration.4 These effects most often subside within 20 to 60 minutes after administration of naloxone, as the antagonist effect wears off.
The treatment of naloxone toxicity is supportive, with particular attention paid to the patient’s mental and respiratory status.
Our patient was advised by his primary care physician on the proper use of all of his medications, including nasal sprays. The clinic pharmacist also met with him for an additional educational session on the proper use of naloxone.
Continue to: THE TAKEAWAY
THE TAKEAWAY
Given the widespread use of naloxone, proper education and counselling regarding this medication is crucial. Patients should be advised of what to expect after its use. In addition, physicians should always maintain updated patient medication lists, ensuring that they include naloxone if it has been prescribed for use as needed for opioid reversal, to assist in the emergency treatment of affected patients.5
CORRESPONDENCE
Erik Weitz, DO, Troy Beaumont Family Medicine Residency, 44250 Dequindre Road, Sterling Heights, MI 48314; [email protected]
THE CASE
A 42-year-old man with a history of bipolar disorder with psychotic features, asthma, and chronic pain was brought to the emergency department (ED) by his father due to altered mental status, coughing, and vomiting. The patient was unable to recall events earlier in the day in detail but stated that he remembered using his inhaler for his cough, which seemed to precipitate his vomiting. The patient’s home medications were listed as albuterol 90 mcg, methadone 90 mg/d, and quetiapine 100 mg.
While in the ED, the patient was tachycardic (heart rate, 102 bpm), but all other vital signs were normal. He was agitated and at one point required restraints. On exam, he had epigastric tenderness to palpation, and his lungs were clear to auscultation bilaterally.
Blood work was notable for an elevated lipase level of 729 U/L (normal range, 0-160 U/L). Complete blood count, comprehensive metabolic panel, urinalysis, chest x-ray, and alcohol levels were unremarkable. Computed tomography of the abdomen/pelvis and ultrasound of the abdomen showed excess stool and gallbladder sludge without cholecystitis.
The patient was treated symptomatically with intravenous fluids, ondansetron, and lorazepam. He was admitted with a working diagnosis of acute pancreatitis and possible acute psychosis in the setting of schizophrenia.
A few hours after presentation, the patient returned to his baseline mental status. Over the next 24 hours, his lipase level trended down to normal.
THE DIAGNOSIS
After the patient’s discharge, the pharmacist from his primary care provider’s office called as part of the routine post-hospital follow-up and a medication reconciliation was performed. During this call, the patient stated he had used 2 different nasal sprays prior to his ED presentation.
The pharmacist asked him to read the names of each medication. He related the first was naloxone and the second, fluticasone (neither of which was included on his medication list). Upon further questioning, the pharmacist elicited clarification from the patient that he had, in fact, taken 2 doses of naloxone, shortly after which his vomiting began.
Continue to: This additional history...
This additional history suggested the patient’s true diagnosis was acute opioid withdrawal precipitated by his accidental self-administration of naloxone.
DISCUSSION
Naloxone is a pure mu-opioid receptor antagonist that is used for opioid overdose.1 In the past decade, in response to the opioid epidemic, naloxone has become increasingly available in the community as a way of decreasing opioid-related deaths.1,2 The US Food and Drug Administration recommends that all patients who are prescribed opioids for pain or opioid use disorder, as well as those who are at increased risk for opioid overdose, should be prescribed naloxone and educated on its use. Patients who received a naloxone prescription from their primary care provider have been found to have 47% fewer opioid-related ED visits.3
Quick effects, potential for complications. Use of naloxone can rapidly induce opioid withdrawal symptoms, including gastrointestinal effects, tachycardia, and agitation, as well as diaphoresis, shivering, lacrimation, tremor, anxiety, mydriasis, and hypertension. Naloxone use can also lead to severe complications, such as violent behaviors, ventricular tachycardia or fibrillation, asystole, or pulmonary edema, in the period immediately following administration.4 These effects most often subside within 20 to 60 minutes after administration of naloxone, as the antagonist effect wears off.
The treatment of naloxone toxicity is supportive, with particular attention paid to the patient’s mental and respiratory status.
Our patient was advised by his primary care physician on the proper use of all of his medications, including nasal sprays. The clinic pharmacist also met with him for an additional educational session on the proper use of naloxone.
Continue to: THE TAKEAWAY
THE TAKEAWAY
Given the widespread use of naloxone, proper education and counselling regarding this medication is crucial. Patients should be advised of what to expect after its use. In addition, physicians should always maintain updated patient medication lists, ensuring that they include naloxone if it has been prescribed for use as needed for opioid reversal, to assist in the emergency treatment of affected patients.5
CORRESPONDENCE
Erik Weitz, DO, Troy Beaumont Family Medicine Residency, 44250 Dequindre Road, Sterling Heights, MI 48314; [email protected]
1. Parkin S, Neale J, Brown C, et al. Opioid overdose reversals using naloxone in New York City by people who use opioids: implications for public health and overdose harm reduction approaches from a qualitative study. Int J Drug Policy. 2020;79:102751. doi: 10.1016/j.drugpo.2020.102751
2. Rzasa Lynn R, Galinkin JL. Naloxone dosage for opioid reversal: current evidence and clinical implications. Ther Adv Drug Saf. 2018;9:63-88. doi: 10.1177/2042098617744161
3. Coffin PO, Behar E, et al. Nonrandomized intervention study of naloxone coprescription for primary care patients receiving long-term opioid therapy for pain. Ann Intern Med. 2016;165:245-52. doi: 10.7326/M15-2771
4. Osterwalder JJ. Naloxone—for intoxications with intravenous heroin and heroin mixtures—harmless or hazardous? A prospective clinical study. J Toxicol Clin Toxicol. 1996;34:409-416. doi: 10.3109/15563659609013811
5. Kwan JL, Lo L, Sampson M, et al. Medication reconciliation during transitions of care as a patient safety strategy: a systematic review. Ann Intern Med. 2013;158(5 pt 2):397-403. doi: 10.7326/0003-4819-158-5-201303051-00006
1. Parkin S, Neale J, Brown C, et al. Opioid overdose reversals using naloxone in New York City by people who use opioids: implications for public health and overdose harm reduction approaches from a qualitative study. Int J Drug Policy. 2020;79:102751. doi: 10.1016/j.drugpo.2020.102751
2. Rzasa Lynn R, Galinkin JL. Naloxone dosage for opioid reversal: current evidence and clinical implications. Ther Adv Drug Saf. 2018;9:63-88. doi: 10.1177/2042098617744161
3. Coffin PO, Behar E, et al. Nonrandomized intervention study of naloxone coprescription for primary care patients receiving long-term opioid therapy for pain. Ann Intern Med. 2016;165:245-52. doi: 10.7326/M15-2771
4. Osterwalder JJ. Naloxone—for intoxications with intravenous heroin and heroin mixtures—harmless or hazardous? A prospective clinical study. J Toxicol Clin Toxicol. 1996;34:409-416. doi: 10.3109/15563659609013811
5. Kwan JL, Lo L, Sampson M, et al. Medication reconciliation during transitions of care as a patient safety strategy: a systematic review. Ann Intern Med. 2013;158(5 pt 2):397-403. doi: 10.7326/0003-4819-158-5-201303051-00006
Put down the electronics after a concussion?
ILLUSTRATIVE CASE
A 17-year-old high school football player presents to the emergency department (ED) after a helmet-to-helmet tackle in a game earlier that day. After the tackle, he experienced immediate confusion. Once he returned to his feet, he felt dizzy and nauseated and began to develop a headache. When his symptoms failed to resolve within a few hours, his mother brought him to the hospital for an evaluation. In the ED, he receives a diagnosis of concussion, and his mother asks for recommendations on how he can recover as quickly as possible.
Traumatic brain injuries account for an estimated 2.5 million ED visits annually in the United States.2 Concussions are the most common form of traumatic brain injury, with adolescents contributing to the highest incidence of concussions.3,4 An estimated 1.6 to 3.8 million people experience a sports-related concussion annually.5
Time to recovery is a clinical endpoint that matters greatly to our young, physically active patients, who are often eager to return to their daily activities as soon as possible. Guidelines frequently recommend cognitive and physical rest for 24 to 48 hours immediately following a concussion, but the use of screens during this cognitive rest period remains uncertain.6,7 International guidelines and the Centers for Disease Control and Prevention recommend symptom-limited activities—including screen time—during the initial period of a concussion.6,7 Although this gradual approach is standard of care, it has been unclear if abstaining completely from certain activities during the initial days of a concussion has any impact on recovery time.
Recent studies have examined physical activity to clarify the optimal timing of physical rest after a concussion. Among adolescents with concussions, strict rest for 5 days does not appear to improve symptoms compared with rest for 1 to 2 days.8 Additionally, physical activity within 7 days of acute head injury may help reduce symptoms and prevent postconcussive symptoms.9,10
This same level of clarity has been lacking for cognitive rest and screen time. The use of screens is a part of most patients’ daily activities, particularly among adolescents and young adults. One report found that students ages 8 to 18 years engage in approximately 7 hours of daily screen time, excluding that related to
STUDY SUMMARY
Symptom duration was significantly reduced by cutting screen time
This single-site, parallel-design, randomized clinical trial examined the effectiveness of limiting screen time exposure within the first 48 hours after a concussion in reducing the time to resolution of concussive symptoms in 125 patients. 1 Patients were included if they were 12 to 25 years old (mean age, 17 years) and presented within 24 hours of sustaining a concussion (as defined on the Acute Concussion Evaluation–Emergency Department tool) to the pediatric or adult ED at a US tertiary medical center.
Patients were randomized to either engage in screen time as tolerated or to abstain from screen time for 48 hours following their injury. Screen modalities included television, phones, video games, and computers/tablets. The Post-Concussive Symptom Scale (PCSS; 0-132) was used to characterize 22 symptoms from 0 (absent) to 6 (severe) daily for 10 days. Patients also self-reported the amount of screen time they engaged in during Days 1 to 3 of the study period and completed an activity survey on Days 4 to 10. Among the participants, 76% completed the PCSS form until symptom resolution or until Day 10 (the end of the study period).
Continue to: The primary outcome...
The primary outcome was days to resolution of concussive symptoms, defined as a PCSS score ≤ 3. The median baseline PCSS score was 21 in the screen time–permitted group and 24.5 in the screen time–abstinent group. The screen time–permitted group reported a median screen time of 630 minutes during the intervention period, compared with 130 minutes in the screen time–abstinent group, and was less likely to recover during the study period than the screen time–abstinent group (hazard ratio = 0.51; 95% CI, 0.29-0.90). The screen time–permitted group had a significantly longer median recovery time compared with the screen time–abstinent group (8.0 vs 3.5 days; P = .03).
WHAT'S NEW?
Exploring the role of screen time during the cognitive rest period
This study provides evidence supporting the recommendation that adolescent and young adult patients abstain from screen time in the first 48 hours following a concussion to decrease time to symptom resolution, thus shortening the timeline to return to their usual daily activities.
CAVEATS
Self-reporting of data may introduce bias
This study used a self-reporting method to collect data, which could have resulted in underreporting or overreporting of screen time and potentially introduced recall and reporting bias. The screen time–abstinent group did not completely abstain from all screen time, with a self-reported average of 5 to 10 minutes of daily screen time to complete the required research surveys, so it is not immediately clear what extent of abstinence vs significant screen time reduction led to the clinical endpoints observed. Furthermore, this study did not ask patients to differentiate between active screen time (eg, texting and gaming) and passive screen time (eg, watching videos), which may differentially impact symptom resolution.
CHALLENGES TO IMPLEMENTATION
Turning off the ever-present screen may present obstacles
This intervention is easy to recommend, with few barriers to implementation. It’s worth noting that screens are often used in a patient’s school or job, and 48 hours of abstinence from these activities is a difficult ask when much of our society’s education, entertainment, and productivity revolve around the use of technology. When appropriate, a shared decision-making discussion between patient and physician should center on the idea that 48 hours of screen time abstinence could be well worth the increased likelihood of total recovery at Day 10, as opposed to the risk for persistent and prolonged symptoms that interfere with the patient’s lifestyle.
1. Macnow T, Curran T, Tolliday C, et al. Effect of screen time on recovery from concussion: a randomized clinical trial. JAMA Pediatr. 2021;175:1124-1131. doi: 10.1001/jamapediat rics.2021.2782
2. Taylor CA, Bell JM, Breiding MJ, et al. Traumatic brain injury–related emergency department visits, hospitalizations, and deaths—United States, 2007 and 2013. MMWR Surveill Summ. 2017;66:1-16. doi: 10.15585/mmwr.ss6609a1
3. Vos PE, Battistin L, Birbamer G, et al; European Federation of Neurological Societies. EFNS guideline on mild traumatic brain injury: report of an EFNS task force. Eur J Neurol. 2002;9:207-219. doi: 10.1046/j.1468-1331.2002.00407.x
4. Zhang AL, Sing DC, Rugg CM, et al. The rise of concussions in the adolescent population. Orthop J Sports Med. 2016;4:2325967116662458. doi: 10.1177/2325967116662458
5. McKee AC, Cantu RC, Nowinski CJ, et al. Chronic traumatic encephalopathy in athletes: progressive tauopathy after repetitive head injury. J Neuropathol Exp Neurol. 2009;68:709-735. doi: 10.1097/NEN.0b013e3181a9d503
6. McCrory P, Meeuwisse W, Dvorák J, et al. Consensus statement on concussion in sport—the 5th international conference on concussion in sport held in Berlin, October 2016. Br J Sports Med. 2017;51:838-847. doi: 10.1136/bjsports-2017-097699
7. Lumba-Brown A, Yeates KO, Sarmiento K, et al. Centers for Disease Control and Prevention guideline on the diagnosis and management of mild traumatic brain injury among children. JAMA Pediatr. 2018;172:e182853. doi: 10.1001/jamapediat rics.2018.2853
8. Thomas DG, Apps JN, Hoffmann RG, et al. Benefits of strict rest after acute concussion: a randomized controlled trial. Pediatrics. 2015;135:213-223. doi: 10.1542/peds.2014-0966
9. Grool AM, Aglipay M, Momoli F, et al; Pediatric Emergency Research Canada (PERC) Concussion Team. Association between early participation in physical activity following acute concussion and persistent postconcussive symptoms in children and adolescents. JAMA. 2016;316:2504-2514. doi: 10.1001/jama.2016.17396
10. Lal A, Kolakowsky-Hayner SA, Ghajar J, et al. The effect of physical exercise after a concussion: a systematic review and meta-analysis. Am J Sports Med. 2018;46:743-752. doi: 10.1177/0363546517706137
11. Rideout V, Peebles A, Mann S, et al. The Common Sense Census: Media Use by Tweens and Teens, 2021. Common Sense Media; 2022. Accessed December 28, 2022. www.commonsensemedia.org/sites/default/files/research/report/8-18-census-integrated-report-final-web_0.pdf
ILLUSTRATIVE CASE
A 17-year-old high school football player presents to the emergency department (ED) after a helmet-to-helmet tackle in a game earlier that day. After the tackle, he experienced immediate confusion. Once he returned to his feet, he felt dizzy and nauseated and began to develop a headache. When his symptoms failed to resolve within a few hours, his mother brought him to the hospital for an evaluation. In the ED, he receives a diagnosis of concussion, and his mother asks for recommendations on how he can recover as quickly as possible.
Traumatic brain injuries account for an estimated 2.5 million ED visits annually in the United States.2 Concussions are the most common form of traumatic brain injury, with adolescents contributing to the highest incidence of concussions.3,4 An estimated 1.6 to 3.8 million people experience a sports-related concussion annually.5
Time to recovery is a clinical endpoint that matters greatly to our young, physically active patients, who are often eager to return to their daily activities as soon as possible. Guidelines frequently recommend cognitive and physical rest for 24 to 48 hours immediately following a concussion, but the use of screens during this cognitive rest period remains uncertain.6,7 International guidelines and the Centers for Disease Control and Prevention recommend symptom-limited activities—including screen time—during the initial period of a concussion.6,7 Although this gradual approach is standard of care, it has been unclear if abstaining completely from certain activities during the initial days of a concussion has any impact on recovery time.
Recent studies have examined physical activity to clarify the optimal timing of physical rest after a concussion. Among adolescents with concussions, strict rest for 5 days does not appear to improve symptoms compared with rest for 1 to 2 days.8 Additionally, physical activity within 7 days of acute head injury may help reduce symptoms and prevent postconcussive symptoms.9,10
This same level of clarity has been lacking for cognitive rest and screen time. The use of screens is a part of most patients’ daily activities, particularly among adolescents and young adults. One report found that students ages 8 to 18 years engage in approximately 7 hours of daily screen time, excluding that related to
STUDY SUMMARY
Symptom duration was significantly reduced by cutting screen time
This single-site, parallel-design, randomized clinical trial examined the effectiveness of limiting screen time exposure within the first 48 hours after a concussion in reducing the time to resolution of concussive symptoms in 125 patients. 1 Patients were included if they were 12 to 25 years old (mean age, 17 years) and presented within 24 hours of sustaining a concussion (as defined on the Acute Concussion Evaluation–Emergency Department tool) to the pediatric or adult ED at a US tertiary medical center.
Patients were randomized to either engage in screen time as tolerated or to abstain from screen time for 48 hours following their injury. Screen modalities included television, phones, video games, and computers/tablets. The Post-Concussive Symptom Scale (PCSS; 0-132) was used to characterize 22 symptoms from 0 (absent) to 6 (severe) daily for 10 days. Patients also self-reported the amount of screen time they engaged in during Days 1 to 3 of the study period and completed an activity survey on Days 4 to 10. Among the participants, 76% completed the PCSS form until symptom resolution or until Day 10 (the end of the study period).
Continue to: The primary outcome...
The primary outcome was days to resolution of concussive symptoms, defined as a PCSS score ≤ 3. The median baseline PCSS score was 21 in the screen time–permitted group and 24.5 in the screen time–abstinent group. The screen time–permitted group reported a median screen time of 630 minutes during the intervention period, compared with 130 minutes in the screen time–abstinent group, and was less likely to recover during the study period than the screen time–abstinent group (hazard ratio = 0.51; 95% CI, 0.29-0.90). The screen time–permitted group had a significantly longer median recovery time compared with the screen time–abstinent group (8.0 vs 3.5 days; P = .03).
WHAT'S NEW?
Exploring the role of screen time during the cognitive rest period
This study provides evidence supporting the recommendation that adolescent and young adult patients abstain from screen time in the first 48 hours following a concussion to decrease time to symptom resolution, thus shortening the timeline to return to their usual daily activities.
CAVEATS
Self-reporting of data may introduce bias
This study used a self-reporting method to collect data, which could have resulted in underreporting or overreporting of screen time and potentially introduced recall and reporting bias. The screen time–abstinent group did not completely abstain from all screen time, with a self-reported average of 5 to 10 minutes of daily screen time to complete the required research surveys, so it is not immediately clear what extent of abstinence vs significant screen time reduction led to the clinical endpoints observed. Furthermore, this study did not ask patients to differentiate between active screen time (eg, texting and gaming) and passive screen time (eg, watching videos), which may differentially impact symptom resolution.
CHALLENGES TO IMPLEMENTATION
Turning off the ever-present screen may present obstacles
This intervention is easy to recommend, with few barriers to implementation. It’s worth noting that screens are often used in a patient’s school or job, and 48 hours of abstinence from these activities is a difficult ask when much of our society’s education, entertainment, and productivity revolve around the use of technology. When appropriate, a shared decision-making discussion between patient and physician should center on the idea that 48 hours of screen time abstinence could be well worth the increased likelihood of total recovery at Day 10, as opposed to the risk for persistent and prolonged symptoms that interfere with the patient’s lifestyle.
ILLUSTRATIVE CASE
A 17-year-old high school football player presents to the emergency department (ED) after a helmet-to-helmet tackle in a game earlier that day. After the tackle, he experienced immediate confusion. Once he returned to his feet, he felt dizzy and nauseated and began to develop a headache. When his symptoms failed to resolve within a few hours, his mother brought him to the hospital for an evaluation. In the ED, he receives a diagnosis of concussion, and his mother asks for recommendations on how he can recover as quickly as possible.
Traumatic brain injuries account for an estimated 2.5 million ED visits annually in the United States.2 Concussions are the most common form of traumatic brain injury, with adolescents contributing to the highest incidence of concussions.3,4 An estimated 1.6 to 3.8 million people experience a sports-related concussion annually.5
Time to recovery is a clinical endpoint that matters greatly to our young, physically active patients, who are often eager to return to their daily activities as soon as possible. Guidelines frequently recommend cognitive and physical rest for 24 to 48 hours immediately following a concussion, but the use of screens during this cognitive rest period remains uncertain.6,7 International guidelines and the Centers for Disease Control and Prevention recommend symptom-limited activities—including screen time—during the initial period of a concussion.6,7 Although this gradual approach is standard of care, it has been unclear if abstaining completely from certain activities during the initial days of a concussion has any impact on recovery time.
Recent studies have examined physical activity to clarify the optimal timing of physical rest after a concussion. Among adolescents with concussions, strict rest for 5 days does not appear to improve symptoms compared with rest for 1 to 2 days.8 Additionally, physical activity within 7 days of acute head injury may help reduce symptoms and prevent postconcussive symptoms.9,10
This same level of clarity has been lacking for cognitive rest and screen time. The use of screens is a part of most patients’ daily activities, particularly among adolescents and young adults. One report found that students ages 8 to 18 years engage in approximately 7 hours of daily screen time, excluding that related to
STUDY SUMMARY
Symptom duration was significantly reduced by cutting screen time
This single-site, parallel-design, randomized clinical trial examined the effectiveness of limiting screen time exposure within the first 48 hours after a concussion in reducing the time to resolution of concussive symptoms in 125 patients. 1 Patients were included if they were 12 to 25 years old (mean age, 17 years) and presented within 24 hours of sustaining a concussion (as defined on the Acute Concussion Evaluation–Emergency Department tool) to the pediatric or adult ED at a US tertiary medical center.
Patients were randomized to either engage in screen time as tolerated or to abstain from screen time for 48 hours following their injury. Screen modalities included television, phones, video games, and computers/tablets. The Post-Concussive Symptom Scale (PCSS; 0-132) was used to characterize 22 symptoms from 0 (absent) to 6 (severe) daily for 10 days. Patients also self-reported the amount of screen time they engaged in during Days 1 to 3 of the study period and completed an activity survey on Days 4 to 10. Among the participants, 76% completed the PCSS form until symptom resolution or until Day 10 (the end of the study period).
Continue to: The primary outcome...
The primary outcome was days to resolution of concussive symptoms, defined as a PCSS score ≤ 3. The median baseline PCSS score was 21 in the screen time–permitted group and 24.5 in the screen time–abstinent group. The screen time–permitted group reported a median screen time of 630 minutes during the intervention period, compared with 130 minutes in the screen time–abstinent group, and was less likely to recover during the study period than the screen time–abstinent group (hazard ratio = 0.51; 95% CI, 0.29-0.90). The screen time–permitted group had a significantly longer median recovery time compared with the screen time–abstinent group (8.0 vs 3.5 days; P = .03).
WHAT'S NEW?
Exploring the role of screen time during the cognitive rest period
This study provides evidence supporting the recommendation that adolescent and young adult patients abstain from screen time in the first 48 hours following a concussion to decrease time to symptom resolution, thus shortening the timeline to return to their usual daily activities.
CAVEATS
Self-reporting of data may introduce bias
This study used a self-reporting method to collect data, which could have resulted in underreporting or overreporting of screen time and potentially introduced recall and reporting bias. The screen time–abstinent group did not completely abstain from all screen time, with a self-reported average of 5 to 10 minutes of daily screen time to complete the required research surveys, so it is not immediately clear what extent of abstinence vs significant screen time reduction led to the clinical endpoints observed. Furthermore, this study did not ask patients to differentiate between active screen time (eg, texting and gaming) and passive screen time (eg, watching videos), which may differentially impact symptom resolution.
CHALLENGES TO IMPLEMENTATION
Turning off the ever-present screen may present obstacles
This intervention is easy to recommend, with few barriers to implementation. It’s worth noting that screens are often used in a patient’s school or job, and 48 hours of abstinence from these activities is a difficult ask when much of our society’s education, entertainment, and productivity revolve around the use of technology. When appropriate, a shared decision-making discussion between patient and physician should center on the idea that 48 hours of screen time abstinence could be well worth the increased likelihood of total recovery at Day 10, as opposed to the risk for persistent and prolonged symptoms that interfere with the patient’s lifestyle.
1. Macnow T, Curran T, Tolliday C, et al. Effect of screen time on recovery from concussion: a randomized clinical trial. JAMA Pediatr. 2021;175:1124-1131. doi: 10.1001/jamapediat rics.2021.2782
2. Taylor CA, Bell JM, Breiding MJ, et al. Traumatic brain injury–related emergency department visits, hospitalizations, and deaths—United States, 2007 and 2013. MMWR Surveill Summ. 2017;66:1-16. doi: 10.15585/mmwr.ss6609a1
3. Vos PE, Battistin L, Birbamer G, et al; European Federation of Neurological Societies. EFNS guideline on mild traumatic brain injury: report of an EFNS task force. Eur J Neurol. 2002;9:207-219. doi: 10.1046/j.1468-1331.2002.00407.x
4. Zhang AL, Sing DC, Rugg CM, et al. The rise of concussions in the adolescent population. Orthop J Sports Med. 2016;4:2325967116662458. doi: 10.1177/2325967116662458
5. McKee AC, Cantu RC, Nowinski CJ, et al. Chronic traumatic encephalopathy in athletes: progressive tauopathy after repetitive head injury. J Neuropathol Exp Neurol. 2009;68:709-735. doi: 10.1097/NEN.0b013e3181a9d503
6. McCrory P, Meeuwisse W, Dvorák J, et al. Consensus statement on concussion in sport—the 5th international conference on concussion in sport held in Berlin, October 2016. Br J Sports Med. 2017;51:838-847. doi: 10.1136/bjsports-2017-097699
7. Lumba-Brown A, Yeates KO, Sarmiento K, et al. Centers for Disease Control and Prevention guideline on the diagnosis and management of mild traumatic brain injury among children. JAMA Pediatr. 2018;172:e182853. doi: 10.1001/jamapediat rics.2018.2853
8. Thomas DG, Apps JN, Hoffmann RG, et al. Benefits of strict rest after acute concussion: a randomized controlled trial. Pediatrics. 2015;135:213-223. doi: 10.1542/peds.2014-0966
9. Grool AM, Aglipay M, Momoli F, et al; Pediatric Emergency Research Canada (PERC) Concussion Team. Association between early participation in physical activity following acute concussion and persistent postconcussive symptoms in children and adolescents. JAMA. 2016;316:2504-2514. doi: 10.1001/jama.2016.17396
10. Lal A, Kolakowsky-Hayner SA, Ghajar J, et al. The effect of physical exercise after a concussion: a systematic review and meta-analysis. Am J Sports Med. 2018;46:743-752. doi: 10.1177/0363546517706137
11. Rideout V, Peebles A, Mann S, et al. The Common Sense Census: Media Use by Tweens and Teens, 2021. Common Sense Media; 2022. Accessed December 28, 2022. www.commonsensemedia.org/sites/default/files/research/report/8-18-census-integrated-report-final-web_0.pdf
1. Macnow T, Curran T, Tolliday C, et al. Effect of screen time on recovery from concussion: a randomized clinical trial. JAMA Pediatr. 2021;175:1124-1131. doi: 10.1001/jamapediat rics.2021.2782
2. Taylor CA, Bell JM, Breiding MJ, et al. Traumatic brain injury–related emergency department visits, hospitalizations, and deaths—United States, 2007 and 2013. MMWR Surveill Summ. 2017;66:1-16. doi: 10.15585/mmwr.ss6609a1
3. Vos PE, Battistin L, Birbamer G, et al; European Federation of Neurological Societies. EFNS guideline on mild traumatic brain injury: report of an EFNS task force. Eur J Neurol. 2002;9:207-219. doi: 10.1046/j.1468-1331.2002.00407.x
4. Zhang AL, Sing DC, Rugg CM, et al. The rise of concussions in the adolescent population. Orthop J Sports Med. 2016;4:2325967116662458. doi: 10.1177/2325967116662458
5. McKee AC, Cantu RC, Nowinski CJ, et al. Chronic traumatic encephalopathy in athletes: progressive tauopathy after repetitive head injury. J Neuropathol Exp Neurol. 2009;68:709-735. doi: 10.1097/NEN.0b013e3181a9d503
6. McCrory P, Meeuwisse W, Dvorák J, et al. Consensus statement on concussion in sport—the 5th international conference on concussion in sport held in Berlin, October 2016. Br J Sports Med. 2017;51:838-847. doi: 10.1136/bjsports-2017-097699
7. Lumba-Brown A, Yeates KO, Sarmiento K, et al. Centers for Disease Control and Prevention guideline on the diagnosis and management of mild traumatic brain injury among children. JAMA Pediatr. 2018;172:e182853. doi: 10.1001/jamapediat rics.2018.2853
8. Thomas DG, Apps JN, Hoffmann RG, et al. Benefits of strict rest after acute concussion: a randomized controlled trial. Pediatrics. 2015;135:213-223. doi: 10.1542/peds.2014-0966
9. Grool AM, Aglipay M, Momoli F, et al; Pediatric Emergency Research Canada (PERC) Concussion Team. Association between early participation in physical activity following acute concussion and persistent postconcussive symptoms in children and adolescents. JAMA. 2016;316:2504-2514. doi: 10.1001/jama.2016.17396
10. Lal A, Kolakowsky-Hayner SA, Ghajar J, et al. The effect of physical exercise after a concussion: a systematic review and meta-analysis. Am J Sports Med. 2018;46:743-752. doi: 10.1177/0363546517706137
11. Rideout V, Peebles A, Mann S, et al. The Common Sense Census: Media Use by Tweens and Teens, 2021. Common Sense Media; 2022. Accessed December 28, 2022. www.commonsensemedia.org/sites/default/files/research/report/8-18-census-integrated-report-final-web_0.pdf
PRACTICE CHANGER
Advise your teenaged and young adult patients with concussion to avoid electronic screens in the first 48 hours after a concussion to minimize time to symptom resolution.
STRENGTH OF RECOMMENDATION
B: Based on a single randomized clinical trial.1
Macnow T, Curran T, Tolliday C, et al. Effect of screen time on recovery from concussion: a randomized clinical trial. JAMA Pediatr. 2021;175:1124-1131. doi: 10.1001/jamapediatrics.2021.2782