CHEST Critical Care,
Journal Year:
2024,
Volume and Issue:
2(2), P. 100063 - 100063
Published: March 4, 2024
BackgroundPsychological
distress
symptoms
are
present
and
persistent
among
many
patients
who
survive
a
critical
illness
like
COVID-19.Research
QuestionCould
self-directed
mobile
app-delivered
mindfulness
intervention
be
feasibly
rapidly
implemented
within
clinical
trials
network
to
reduce
symptoms?Study
Design
MethodsA
randomized
trial
was
conducted
between
January
2021
May
2022
at
29
US
sites
included
survivors
of
hospitalization
due
COVID-19-related
with
elevated
depression
discharge.
Participants
were
or
usual
care
control.
The
consisted
four
themed
weeks
daily
audio,
video,
text
content.
All
study
procedures
virtual.
primary
outcome
assessed
the
Patient
Health
Questionnaire
9
3
months.
Secondary
outcomes
anxiety
(Generalized
Anxiety
Disorder
7-item
scale),
quality
life
(EQ-5D),
adherence.
We
used
general
linear
models
estimate
treatment
arm
differences
in
over
time.ResultsAmong
56
participants
(mean
age
±
SD,
51.0
13.2
years;
38
female
[67.9%];
14
Black
[25%]),
45
(intervention:
n
=
23
[79%];
control:
22
[81%])
retained
6
There
no
difference
mean
improvement
control
months
(−0.5
vs
0.1),
Generalized
scale
(−0.3
EQ-5D
(−0.03
0.02)
scores,
respectively;
6-month
results
similar.
Only
15
(51.7%)
initiated
intervention,
whereas
number
SD
prescribed
activities
completed
12.0
15.2.
Regulatory
approvals
delayed
initiation
by
nearly
year.InterpretationAmong
COVID-19
psychological
symptoms,
app-based
had
poor
Future
interventions
mobilized
broad
should
focus
efforts
on
patient
engagement
regulatory
simplification
enhance
success.Trial
RegistrationClinicalTrials.gov;
No.:
NCT04581200;
URL:
www.clinicaltrials.gov
JAMA Network Open,
Journal Year:
2024,
Volume and Issue:
7(3), P. e241468 - e241468
Published: March 7, 2024
Importance
Concerns
over
the
mental
health
of
young
people
have
been
increasing
past
decade,
especially
with
rise
in
burden
seen
during
COVID-19
pandemic.
Examining
trends
health–related
outpatient
visits
provides
critical
information
to
elucidate
contributing
factors,
identify
vulnerable
populations,
and
inform
strategies
address
crisis.
Objective
To
examine
characteristics
psychotropic
medication
use
among
US
adolescents
adults.
Design,
Setting,
Participants
A
retrospective
cross-sectional
analysis
nationally
representative
data
from
National
Ambulatory
Medical
Care
Survey,
an
annual
probability
sample
survey,
was
conducted
January
2006
December
2019.
included
(age
13-17
years)
adults
18-24
office-based
US.
Data
were
analyzed
March
1,
2023,
September
15,
2023.
Main
Outcomes
Measures
Mental
identified
based
on
established
sets
diagnostic
codes
for
psychiatric
disorders.
Temporal
proportion
assessed,
including
associated
medications.
Analyses
stratified
by
age
sex.
Results
From
2019,
there
estimated
1.1
billion
adults,
which
145.0
million
(13.1%)
a
condition
(mean
[SD]
age,
18.4
[3.5]
years;
74.0
females
[51.0%]).
diagnoses
more
prevalent
male
(16.8%)
compared
female
(10.9%)
patients
(
P
<
.001).
This
difference
most
pronounced
20.1%
diagnosis
males
vs
10.1%
The
nearly
doubled,
8.9%
16.9%
2019
Among
all
visits,
17.2%
prescription
at
least
1
medication,
significant
increases
12.8%
22.4%
Conclusions
Relevance
In
this
study,
substantial
medications,
greater
overall
patients.
These
findings
provide
baseline
understanding
post-pandemic
shifts
suggest
that
current
treatment
prevention
will
need
preexisting
needs
addition
effects
Psychiatric Services,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 10, 2025
The
use
of
court-ordered
mental
health
treatment
through
programs
such
as
assisted
outpatient
(AOT)
carries
substantial
ramifications
for
the
welfare
individuals
with
serious
conditions.
In
this
review,
authors
used
a
narrative
methodology
and
performed
an
interpretive
synthesis
existing
U.S.-based
literature
(2008-2023)
on
AOT
implementation
outcomes.
search
yielded
21
peer-reviewed
articles
published
between
2009
2022
that
assessed
various
aspects
outcomes
AOT.
Although
many
these
studies
generally
supported
AOT,
most
limited
data
set
(i.e.,
program
from
New
York
or
Ohio
1999
2007).
Much
latest
research
did
not
include
attention
to
possible
mechanisms
explain
observed
emerging
suggests
increased
outreach
less
coercive
tactics
may
lead
better
However,
more
research,
especially
point
view
enrolled
in
programs,
is
needed.
strongly
recommend
into
interventions
be
broadened
geographic
locations.
A
greater
emphasis
should
placed
identifying
potential
disparities,
developing
understanding
AOT-specific
change,
continuing
efforts
identify
high-quality
comparison
groups.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(3), P. e0319396 - e0319396
Published: March 19, 2025
Autistic
people
experience
higher
risk
of
suicidal
ideation
(SI)
and
suicide
attempts
(SA)
compared
to
non-autistic
people,
yet
there
is
limited
understanding
complex,
multilevel
factors
that
drive
this
disparity.
Further,
determinants
mental
health
service
receipt
among
population
are
unknown.
This
study
will
identify
socioecological
associated
with
increased
SI
SA
for
autistic
evaluate
care
receipt.
link
information
individuals
aged
12-64
years
in
healthcare
claims
data
(IBM®
MarketScan®
Research
Database
CMS
Medicaid)
publicly
available
databases
containing
community
policy
factors,
thereby
creating
a
unique,
dataset
includes
health,
demographic,
community,
information.
Machine
learning
reduction
methods
be
applied
reduce
the
dimensionality
prior
nested,
empirical
estimation.
These
techniques
allow
robust
identification
clusters
1)
2)
services
(type,
dose,
delivery
modality).
Throughout,
research
team
partner
an
established
group
partners
promote
relevance,
as
well
receive
input
guidance
from
council
practice
advisors.
We
hypothesize
nested
individual
(co-occurring
conditions,
age,
sex),
(healthcare
availability,
social
vulnerabilities),
(state
legislation,
state
Medicaid
expansion)
heightened
SA,
receipt,
interdependent
at
all
three
levels.
The
approach
lead
facilitate
or
impede
delivery.
then
engage
partners,
advisors
inform
development
recommendations
improve
population.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 18, 2025
This
study
examined
mental
health
disparities
among
African
Americans
using
AI
and
machine
learning
for
outcome
prediction.
Analyzing
data
from
American
adults
(18–85)
in
Southeastern
Virginia
(2016–2020),
we
found
Mood
Affective
Disorders
were
most
prevalent
(41.66%),
followed
by
Schizophrenia
Spectrum
Other
Psychotic
Disorders.
Females
predominantly
experienced
mood
disorders,
with
patient
ages
typically
ranging
late
thirties
to
mid-forties.
Medicare
coverage
was
notably
high
schizophrenia
patients,
while
emergency
admissions
comorbidities
significantly
impacted
total
healthcare
charges.
Machine
models,
including
gradient
boosting,
random
forest,
neural
networks,
logistic
regression,
Naive
Bayes,
validated
through
100
repeated
5-fold
cross-validations.
Gradient
boosting
demonstrated
superior
predictive
performance
all
models.
Nomograms
developed
visualize
risk
factors,
gender,
age,
comorbidities,
insurance
type
emerging
as
key
predictors.
The
revealed
higher
disorder
prevalence
compared
national
averages,
suggesting
a
potentially
greater
burden
this
population.
Despite
the
limitations
of
its
retrospective
design
regional
focus,
research
provides
valuable
insights
into
Virginia,
particularly
regarding
demographic
clinical
factors.
Journal of Public Mental Health,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 3, 2025
Purpose
Mental
health
inequalities
based
on
race
and
ethnicity
in
the
USA
globally
persist
despite
efforts
to
address
them.
The
COVID-19
epidemic
accentuated
these
demonstrated
extent
which
they
are
linked
social
determinants.
However,
organizations
that
best
placed
ameliorate
mental
often
underfunded
under-resourced.
Investment
strategies
restrict
funding
for
programmatic
costs
rather
than
general
operating
disproportionately
impact
small
serve
communities
of
color.
This
study
aims
argue
effectively
addressing
requires
investing
by
applying
lessons
learned
from
implementation
science.
Findings
demonstrates
how
organizational
factors
such
as
leadership,
supervision
culture
climate
key
success
can
target
factors.
As
promoting
equity
is
increasingly
recognized
a
priority
outcome
science
research,
approaches
inform
funders
support
marginalized
communities,
giving
them
capacity
flexibility
inequalities.
Originality/value
paper
applies
findings
consider
organizations,
particularly
those
well
suited
serving
needs
diverse
communities.
Psychiatric Services,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 11, 2025
The
authors
examined
patterns
in
hospital
admission
rates
for
patients
with
a
schizophrenia
spectrum
disorder
(SSD)-related
visit
to
an
emergency
department
(ED).
identified
116,928
ED
visits
SSD
across
1,071
hospitals
11-state
sample
drawn
from
the
2020
State
Emergency
Department
Databases
and
Inpatient
Databases.
distribution
of
hospital-level
was
described
by
using
finite
mixture
model.
Hospital-
county-level
characteristics
were
compared
low,
medium,
or
high
shares.
Admission
shares
highly
variable
multimodal
hospitals.
Although
overall
mean
share
patient
primary
diagnosis
56.6%
(95%
CI=53.0%-60.2%),
5.6%
CI=4.8%-6.4%)
lowest
quintile
95.4%
CI=94.6%-96.3%)
highest
quintile.
presence
psychiatric
beds
associated
increased
odds
(OR=2.56,
95%
CI=1.83-3.59).
A
hospital's
size,
mental
health
volume,
urbanicity,
availability
consultation,
services,
outpatient
as
well
inpatient
beds,
not
significantly
rates.
Hospital
varied
widely,
positively
admission.
These
findings
raise
equity
concerns
suggesting
that
variation
bed
contributes
disposition
SSD-related
visit.
JAMA Network Open,
Journal Year:
2025,
Volume and Issue:
8(3), P. e251281 - e251281
Published: March 20, 2025
Importance
Emergency
medical
services
(EMS)
clinicians
commonly
care
for
patients
with
behavioral
health
emergencies
(BHEs),
including
acute
agitation.
There
are
known
racial
and
ethnic
disparities
in
the
use
of
physical
restraint
chemical
sedation
BHEs
emergency
department
settings,
but
less
is
about
prehospital
or
sedation.
Objective
To
investigate
association
patient
race
ethnicity
during
EMS
encounters
BHEs.
Design,
Setting,
Participants
This
nationwide
retrospective
cohort
study
used
data
from
agencies
across
US
that
participated
2021
ESO
Data
Collaborative
research
dataset.
among
aged
16
to
90
years
a
primary
secondary
impression,
sign
symptom,
protocol
associated
BHE
January
1
December
31,
2021,
were
included.
Statistical
analysis
was
conducted
July
2023
March
2024.
Exposures
Patient
ethnicity,
which
categorized
as
Hispanic,
non-Hispanic
Black,
White,
other
(American
Indian
Alaska
Native,
Asian,
Hawaiian
Native
Other
Pacific
Islander,
other,
multiracial),
unknown.
Main
Outcomes
Measures
The
outcome
administration
any
and/or
(defined
antipsychotic
medication,
benzodiazepine,
ketamine).
Results
A
total
661
307
(median
age,
41
[IQR,
30-56
years];
56.9%
male)
Race
documented
9.9%
20.2%
59.5%
1.9%
8.6%
unknown
ethnicity.
Restraint
46
042
(7.0%)
encounters,
differed
groups
(Hispanic,
10.6%;
7.9%;
6.1%;
10.9%;
5.9%;
P
<
.001).
In
mixed-effects
logistic
regression
models
accounting
clustering
by
agency
adjusted
gender,
urbanicity,
community
diversity,
who
Black
had
significantly
greater
odds
being
restrained
sedated
all
categories
compared
White
(eg,
sedation:
ratio
[AOR],
1.17
[95%
CI,
1.14-1.21];
restraint:
AOR,
1.22
1.18-1.26]).
no
significant
difference
remaining
patients.
Clustering
agency-level
variation
(intraclass
correlation
coefficient,
0.16
0.14-0.17]).
Conclusions
Relevance
found
differences
an
use.
These
may
inform
improvements
protocols
training
aimed
at
equitable