A machine learning approach for identifying predictors of success in a Medicaid-funded, community-based behavioral health program using the Child and Adolescent Needs and Strengths (CANS)
Jesse D. Troy,
No information about this author
Ryan M. Torrie,
No information about this author
Daniel N. Warner
No information about this author
et al.
Children and Youth Services Review,
Journal Year:
2021,
Volume and Issue:
126, P. 106010 - 106010
Published: April 1, 2021
The
CANS
is
the
most
popular
measurement
tool
in
System
of
Care
(SoC),
with
potential
to
generate
an
estimated
1.9
million
evaluations
per
year
United
States.
This
dataset
has
broad
for
decision
support
and
outcomes
monitoring,
yet
many
SoC
services
do
not
leverage
this
information
asset.
We
report
here
results
a
pilot
project
which
we
applied
machine
learning
methods
data
purpose
identifying
clinical
profiles
associated
improvement
public
community-based
behavioral
health
program
Pennsylvania.
analyzed
over
7,000
from
3,385
children
who
participated
Pennsylvania's
Medicaid-funded
rehabilitation
(BHRS)
during
2013–2019.
A
gradient
boosting
classifier
was
developed
identify
likely
experience
total
score
on
while
participating
BHRS.
Separate
models
were
constructed
without
autism
spectrum
disorder
(ASD).
CANS-based
also
identified.
Analyses
run
using
Python
Sci-Ki
version
0.20.3
Linearly
Interpretable
Model-agnostic
Explanations
(LIME)
0.1.1.33.
mean
age
BHRS
participants
9.85
years
(standard
deviation:
3.47)
majority
white
(54%)
or
African
American
(11.5%).
median
length
stay
963
days
(range:
541–2,008)
39%
(N
=
1,330)
had
diagnosis
ASD.
49.9%
improvement.
Precision
70%
79%
ASD,
respectively.
Fourteen
ASD
(mean
probability
profile
0.95,
range:
0.88–1.0)
55
such
identified
improvement:
0.91,
0.86–1.0).
Machine
can
be
have
high
These
may
utility
as
adjunct
existing
systems
services.
Language: Английский
Overview of Ten Child Mental Health Clinical Outcome Measures: Testing of Psychometric Properties with Diverse Client Populations in the U.S.
Administration and Policy in Mental Health and Mental Health Services Research,
Journal Year:
2021,
Volume and Issue:
49(2), P. 197 - 225
Published: Sept. 5, 2021
Abstract
While
many
standardized
assessment
measures
exist
to
track
child
mental
health
treatment
outcomes,
the
degree
which
such
tools
have
been
adequately
tested
for
reliability
and
validity
across
race,
ethnicity,
class
is
uneven.
This
paper
examines
corpus
of
published
tests
psychometric
properties
ten
used
in
U.S.
outpatient
care,
with
focus
on
breadth
testing
these
domains.
Our
goal
assist
care
providers,
researchers,
legislators
understanding
how
cultural
mismatch
impacts
measurement
accuracy
select
appropriate
characteristics
their
client
populations.
We
also
highlight
avenues
needed
research
that
are
common
use.
The
list
was
compiled
from
(1)
state
Department
Mental
Health
websites;
(2)
a
survey
California
county
behavioral
agency
directors;
(3)
exploratory
literature
scans
research.
Ten
met
inclusion
criteria;
each
one
systematic
review
psychometrics
conducted.
Diversity
participant
samples
examined
as
well
differences
by
gender,
race
or
socio-economic
class.
All
showed
adequate
validity,
however
half
lacked
diverse
all
three
domains
Asian
American/Pacific
Islander
Native
American
children.
ASEBA,
PSC,
SDQ
had
broadest
testing.
Language: Английский
Mental health symptoms of youth initiating psychiatric care at different phases of the COVID-19 pandemic
Child and Adolescent Psychiatry and Mental Health,
Journal Year:
2022,
Volume and Issue:
16(1)
Published: Sept. 30, 2022
Abstract
Objective
To
examine
differences
in
caregiver
and
youth
reported
mental
health
symptoms
for
initiating
treatment
through
phases
of
the
Coronavirus
Disease
(COVID-19)
pandemic,
compared
with
symptomology
prior
year.
Study
design
This
retrospective
study
analyzes
group
(Pediatric
Symptom
Checklist;
PSC-35)
based
on
7874
seeking
publicly
funded
programs
during
California’s
Stay-At-Home
order
(March–May,
2020)
prolonged
pandemic
(May–December,
COVID-19
as
matching
groups
2019.
Results
Youth
entering
services,
their
caregivers,
significantly
increased
internalizing,
externalizing,
attention-related
phase,
but
not
acute
stay-at-home
phase
small
effect
sizes.
Group
comparison
analyses
did
detect
a
larger
Sexual
Gender
Diverse
(SGD)
who
identify
lesbian,
gay,
bisexual,
asexual,
transgender,
Two-Spirit,
queer,
and/or
intersex,
Black,
Indigenous,
People
Color
(BIPOC).
Conclusions
A
large-scale
before
suggests
that
was
disrupted
throughout
2020.
Language: Английский
A Scoping Review of Mental Health and Wellbeing Outcome Measures for Children and Young People: Implications for Children in Out-of-home Care
Journal of Child & Adolescent Trauma,
Journal Year:
2023,
Volume and Issue:
17(2), P. 159 - 185
Published: Sept. 4, 2023
Abstract
Purpose
One
of
the
challenges
for
mental
health
research
is
lack
an
agreed
set
outcome
measures
that
are
used
routinely
and
consistently
between
disciplines
across
studies
in
order
to
build
a
more
robust
evidence
base
how
better
understand
young
people’s
effectively
address
diverse
needs.
Methods
This
study
involved
scoping
review
reviews
on
consensus
use
wellbeing
with
children
people.
We
were
particularly
interested
identify
if
there
differences
recommended
people
care
experience
including
those
developmental
disabilities.
Findings
identified
41
reviews,
which
two
had
focus
child
welfare
settings,
three
childhood
trauma
14
focused
Overall,
our
highlights
diversity
within
field.
60
measures,
only
nine
by
than
one
review.
Conclusions
Our
need
greater
agreement
measures.
While
value
identifying
can
be
any
or
person,
researchers
take
into
account
additional
considerations
when
working
disabilities,
ensure
accessible
sensitive
their
life
experiences.
Language: Английский
Recognizing Adolescent Depression with Parent- and Youth-Report Screens in Pediatric Primary Care
The Journal of Pediatrics,
Journal Year:
2021,
Volume and Issue:
233, P. 220 - 226.e1
Published: Feb. 3, 2021
Language: Английский
U.S. Child Behavioral Health Quality Measures: Advancing a National Research Agenda
Journal of Abnormal Child Psychology,
Journal Year:
2020,
Volume and Issue:
48(6), P. 745 - 756
Published: April 14, 2020
Language: Английский
Regulators, Payors, and the Impact of Measurement-Based Care on Value-Based Care in Psychiatry
Alan A. Axelson,
No information about this author
David A. Brent
No information about this author
Child and Adolescent Psychiatric Clinics of North America,
Journal Year:
2020,
Volume and Issue:
29(4), P. 743 - 754
Published: July 8, 2020
Language: Английский
Measurement-based Data to Monitor Quality: Why Specification at the Population Level Matter?
Child and Adolescent Psychiatric Clinics of North America,
Journal Year:
2020,
Volume and Issue:
29(4), P. 703 - 731
Published: July 29, 2020
Language: Английский
A linear optimization approach to decision support with CANS data
David Offner,
No information about this author
Dan Warner,
No information about this author
Cara Yi
No information about this author
et al.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 19, 2023
Abstract
This
research
is
meant
to
make
a
contribution
the
field
of
Communimetric
(CMX)
algorithms
(Lyons,
2004,
2009).
science
underscoring
behavioral
health
and
child
welfare
assessment
tools
such
as
Child
Adolescent
Needs
Strengths
(CANS)
assessment,
Adult
Assessment
(ANSA),
Family
Advocacy
Support
Tool
(FAST),
amongst
others
(https://praedfoundation.org/).
These
are
used
throughout
US
serving
adult
mental
system
not
only
assure
standardized
process,
but
also
provide
real-time
Decision
(DS)
assessors
about
client
treatment
planning
disposition.
We
propose
novel
method
for
developing
CMX
DS
utilizing
linear
optimization
(commonly
known
programming
(LP)
or
(mixed)
integer
(ILP
MILP)).
Using
administrative
data
from
Pennsylvania’s
Medicaid
Behavioral
Health
system,
MILP
model
developed
differentiate
profiles
that
benefit
one
two
programs
in
Pennsylvania
care.
The
picked
both
children
at
risk
out
home
placement,
their
clinical
models
different.
There
often
debate
which
program
most
appropriate
given
family,
thus
help
facilitate
this
decision
making.
health,
well
testing
validating
model.
then
identifying
impact
on
care
utilization
could
have
facilitating
improved
matching
system.
close
with
discussion
how
information
be
planning,
development
issues.
Language: Английский
Identifying core measures to be used in mental health research with care experienced young people: A Delphi study
Children and Youth Services Review,
Journal Year:
2023,
Volume and Issue:
157, P. 107380 - 107380
Published: Dec. 6, 2023
Care
experienced
young
people,
including
those
who
are
neurodivergent,
experience
worse
mental
health
outcomes
than
their
non-care
counterparts.
Understanding
the
of
this
population,
how
it
changes
over
time,
is
critically
important
to
development
more
effective,
supportive
services.
However,
one
challenges
lack
consensus
around
a
set
suitable
measures
that
can
be
used
with
care
neurodivergent.
The
primary
aim
study
was
develop
core
by
researchers
when
investigating
Additional
research
questions
included:
(1)
what
strengths
and
limitations
these
measures?;
(2)
value
drawbacks
attempting
(3)
do
people
think
about
measures?
This
mixed
methods
approach.
method
classical
Delphi
design
where
from
panel
experts
(n=18)
sought
in
relation
recommendation
7
measures.
These
covered
4
domains:
general
health,
quality
life/related
life,
anxiety
depression,
suicide
self-harm.
Alongside
Delphi,
an
advisory
group
(n=6)
asked
examine
suitability/
appropriateness
collection
Findings-
There
were
number
highlighted
experts.
Given
these,
only
SDQ
RCADS-25
recommended
for
routine
use
people.
Moreover,
In
addition,
suggested
there
would
need
significant
wording
content
all
improve
suitability.
Lastly,
tension
exists
relating
utility
recommending
potential
restrictions
may
impose.
Language: Английский