A personal sensing technology enabled service versus a digital psychoeducation control for primary care patients with depression and anxiety: a pilot randomized controlled trial
BMC Psychiatry,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: Nov. 19, 2024
Technology-enabled
services
(TES;
clinical
that
include
both
technology-driven
[e.g.,
personal
sensing
technologies]
and
person-powered
support
elements)
may
address
gaps
in
depression
anxiety
treatments
healthcare
settings.
The
current
study:
(1)
developed
a
TES
tailored
for
Primary
Care
patients
with
and/or
anxiety,
(2)
conducted
pilot
randomized
controlled
trial
to
assess
the
efficacy
of
compared
digital
psychoeducation
control
app.
Participants
were
either:
TES:
"Vira"
smartphone
app
(Ksana
Health
Inc.),
informed
by
behavioral
activation
using
passive
technology
provide
"insights"
target
behaviors
associated
mental
health
symptoms,
alongside
lay-provider
coaching,
or
Control:
Mood
Education
mobile
(ME),
containing
static
psychoeducational
resources
designed
symptoms.
Both
apps
collected
usage
data.
completed
assessments
on
(PHQ-9),
(GAD-7),
health-related
quality
life
(PedsQL),
engagement
(TWEETs)
at
baseline,
mid-treatment
(week
4),
end-of-treatment
8),
post-treatment
12).
(N
=
130)
receive
either
(Vira;
Mage=
30)
ME
(Mage=
33).
Linear
mixed-effects
models
determined
significant
improvements
PHQ-9
GAD-7
scores
participants
across
conditions
(ps
<
0.001).
There
was
no
interactive
effect
intervention
time
(p
.90)
nor
.49).
Adjusting
baseline
differences
randomization
strata,
reported
greater
change
rating
Physical
Functioning
(PedsQL)
.018).
also
higher
levels
demonstrated
usage.
However,
adjusting
symptom
severity,
neither
coach
interaction
frequency
moderated
outcomes
≥
0.2).
While
superior
engagement,
depressive
anxious
symptoms
speak
potential
benefit
low-intensity
care
Future
research
is
needed
better
understand
which
might
differentially
from
TESs
broader
technologies
over
treatments.
ClinicalTrials.gov
NCT05406791.
Language: Английский
Introduction to the special issue: Improving digital health implementation in pediatric populations, from design to sustainment
Journal of Pediatric Psychology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 12, 2024
Language: Английский
Digital Mental Health Screening, Feedback, and Referral System for Teens with Socially Complex Needs: Protocol for a Randomized Controlled Trial Integrating the TeACH System into Pediatric Primary Care (Preprint)
Published: Aug. 19, 2024
BACKGROUND
Teens
with
socially
complex
needs–those
who
face
multiple
and
potentially
overlapping
adversities–are
disproportionately
affected
by
several
barriers
to
mental
health
screening
treatment.
Pediatric
Primary
Care
(PPC)
is
a
typically
low-stigmatized
setting
for
teens
that
visited
at
least
annually.
As
such,
implementing
digital
tools
(DMH)
as
low-intensity
treatments
(LITs)
in
PPCs
may
increase
the
reach
of
such
needs.
OBJECTIVE
This
study
evaluates
Teen
Assess,
Check,
Heal
(TeACH)
System
compared
control
condition
while
integrated
into
two
Medical
Centers
serving
teen
patients
Chicago,
IL.
Through
collaboration
key
players
throughout
design
implementation
planning
phases,
TeACH
hypothesized
patient
self-reported
engagement
DMH
address
specific
individual-level
healthcare,
psychoeducation
condition.
METHODS
Eligible
participants
will
be
recruited
through
PPC
clinics
housed
within
University
Illinois
Chicago
(UIC)
Rush
Center
(RUSH).
Recruitment
involves
invitations
from
research
staff
primary
care
clinicians/staff,
well
posting
flyers
QR
codes
specified
clinics.
All
complete
brief
demographic
survey,
baseline
Kiddie-Computerized
Adaptive
Tests
(K-CAT)
Anxiety
Module.
Participants
are
randomized
receive
either
(digital
evidence-based
workbook)
or
intervention
(TeACH
Feedback
Resources).
then
invited
an
immediate
one-week
follow-up
survey.
The
outcomes
assess
changes
(i.e.,
likelihood
use
anxiety,
actual
use)
healthcare
symptom
understanding,
confidence
act).
Descriptive
analyses
conducted
characterize
sample
usability
ratings
System.
Linear
generalized
linear
mixed
effects
regression
models
examine
differences
over
time.
RESULTS
began
July
2024
data
collection
expected
completed
August
2025.
CONCLUSIONS
current
provide
preliminary
feasibility
inform
how
other
LITs
might
better
engage
support
CLINICALTRIAL
ClinicalTrials.gov
ID
NCT05466929
Language: Английский
Digital Mental Health Screening, Feedback, and Referral System for Teens with Socially Complex Needs: Protocol for a Randomized Controlled Trial Integrating the TeACH System into Pediatric Primary Care (Preprint)
JMIR Research Protocols,
Journal Year:
2024,
Volume and Issue:
14, P. e65245 - e65245
Published: Dec. 16, 2024
Background
Teens
with
socially
complex
needs—those
who
face
multiple
and
potentially
overlapping
adversities—are
disproportionately
affected
by
several
barriers
to
mental
health
screening
treatment.
Pediatric
primary
care
(PPC)
is
a
typically
low-stigmatized
setting
for
teens
that
visited
at
least
annually.
As
such,
implementing
digital
tools
(DMH),
as
low-intensity
treatments
in
PPCs
may
increase
the
reach
of
such
needs.
Objective
This
study
aimed
evaluate
Teen
Assess,
Check,
Heal
(TeACH)
System
comparison
control
condition
while
integrated
into
2
Medical
Centers
serving
teen
patients
Chicago,
Illinois.
Through
collaboration
key
players
throughout
design
implementation
planning
phases,
TeACH
hypothesized
patient
self-reported
engagement
DMH
address
specific
individual-level
care,
compared
psychoeducation
condition.
Methods
Eligible
participants
will
be
recruited
through
PPC
clinics
housed
within
University
Illinois
Chicago
(UIC)
Rush
Center
(RUSH).
Recruitment
involves
invitations
from
research
staff
members
clinicians
members,
well
posting
flyers
QR
codes
specified
clinics.
All
complete
brief
demographic
survey,
baseline
Kiddie-Computerized
Adaptive
Tests
Anxiety
Module.
Participants
are
randomized
receive
either
(digital
evidence-based
workbook)
or
intervention
(TeACH
Feedback
Resources).
then
invited
an
immediate
1-week
follow-up
survey.
The
outcomes
assess
changes
(ie,
likelihood
use
anxiety
actual
use)
symptom
understanding
confidence
act).
Descriptive
analyses
conducted
characterize
sample
usability
ratings
System.
Linear
generalized
linear
mixed
effects
regression
models
examine
differences
over
time.
Results
began
July
2024
data
collection
expected
completed
August
2025.
To
date,
122
have
assented
activities,
80
been
(an
additional
24
had
subthreshold
symptoms
were
therefore
not
randomized),
42
assessment.
Conclusions
provide
preliminary
feasibility
inform
how
other
might
better
engage
support
Trial
Registration
ClinicalTrials.gov
NCT05466929;
https://clinicaltrials.gov/study/NCT05466929
International
Registered
Report
Identifier
(IRRID)
DERR1-10.2196/65245
Language: Английский