Does the Digital Therapeutic Alliance Exist?: An Integrative Review (Preprint)
Amylie Malouin-Lachance,
Julien Capolupo,
Chloé Laplante
и другие.
JMIR Mental Health,
Год журнала:
2025,
Номер
12, С. e69294 - e69294
Опубликована: Янв. 17, 2025
Abstract
Background
Mental
health
disorders
significantly
impact
global
populations,
prompting
the
rise
of
digital
mental
interventions,
such
as
artificial
intelligence
(AI)-powered
chatbots,
to
address
gaps
in
access
care.
This
review
explores
potential
for
a
“digital
therapeutic
alliance
(DTA),”
emphasizing
empathy,
engagement,
and
alignment
with
traditional
principles
enhance
user
outcomes.
Objective
The
primary
objective
this
was
identify
key
concepts
underlying
DTA
AI-driven
psychotherapeutic
interventions
health.
secondary
propose
an
initial
definition
based
on
these
identified
concepts.
Methods
PRISMA
(Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses)
scoping
reviews
Tavares
de
Souza’s
integrative
methodology
were
followed,
encompassing
systematic
literature
searches
Medline,
Web
Science,
PsycNet,
Google
Scholar.
Data
from
eligible
studies
extracted
analyzed
using
Horvath
et
al’s
conceptual
framework
alliance,
focusing
goal
alignment,
task
agreement,
bond,
quality
assessed
Newcastle-Ottawa
Scale
Cochrane
Risk
Bias
Tool.
Results
A
total
28
pool
1294
articles
after
excluding
duplicates
ineligible
studies.
These
informed
development
DTA,
elements
facilitators
barriers
affecting
primarily
focused
AI-powered
psychotherapy,
other
tools.
Conclusions
findings
provide
foundational
concept
report
its
replicate
mechanisms
trust,
collaboration
While
shows
promise
enhancing
accessibility
engagement
care,
further
research
innovation
are
needed
challenges
personalization,
ethical
concerns,
long-term
impact.
Язык: Английский
AI-human interactions in healthcare: exploring users’ post-adoption behaviors of AI mental health chatbots
Behaviour and Information Technology,
Год журнала:
2025,
Номер
unknown, С. 1 - 29
Опубликована: Март 11, 2025
Язык: Английский
AI and VR-Powered Interventions for Social Anxiety
International Journal of Virtual and Augmented Reality,
Год журнала:
2025,
Номер
7(1), С. 1 - 27
Опубликована: Янв. 24, 2025
This
study
aims
to
investigate
the
potential
benefits
and
efficacy
of
incorporating
Artificial
Intelligence
into
mental
health
interventions
for
individuals
battling
social
anxiety.
The
objective
is
evaluate
how
different
AI
influence
reduction
symptoms,
functioning,
overall
quality
life.
research
will
examine
feasibility
as
a
means
delivering
Cognitive-Behavioral
Therapy
(CBT)
compare
its
effectiveness
with
established
therapeutic
approaches.
methodology
involves
systematic
literature
review
comprehensive
database
searches.
findings
suggest
that
therapy
chatbots,
which
use
machine
learning
deliver
individualized
interventions,
present
an
accessible
scalable
alternative
assistance,
relieve
anxiety
depression
symptoms.
Virtual
Reality
Exposure
(VRET)
efficiently
tackles
anxiety,
although
further
on
AI's
in
this
setting
needed.
Язык: Английский
Prediction of Mental Health and Self-Esteem Based on Perceived Social Support in Youth with Physical Disabilities in Tehran
journal of Adolescent and Youth Psychological Studies,
Год журнала:
2024,
Номер
5(6), С. 89 - 97
Опубликована: Янв. 1, 2024
Objective:
Disability
of
any
type
and
in
form
often
leads
to
mental
crises
by
causing
anxiety,
worry,
reduced
self-confidence,
psychological
difficulties.
The
present
study
aimed
predict
health
self-esteem
based
on
perceived
social
support
youth
with
physical
disabilities
Tehran.
Methods
Materials:
research
method
was
descriptive
correlational.
statistical
population
consisted
aged
20-35
from
seven
centers
for
individuals
Tehran
2023,
totaling
approximately
1500
individuals.
Of
this
population,
400
were
accessible
samples
(characteristics
the
included:
having
only
being
20-35),
which
250
male,
rest
female.
From
number,
196
young
people,
both
male
female,
randomly
selected
participated
tests
according
Morgan
table.
instruments
included
Multidimensional
Scale
Perceived
Social
Support
Zimet
et
al.
(1988),
General
Health
Questionnaire
Goldberg
(1972),
Coopersmith
Self-Esteem
Inventory
(1967).
Data
analysis
performed
using
multiple
regression
SPSS
version
27.
Findings:
results
showed
that
components
family,
others,
could
health.
findings
indicate
(b=2.170)
identified
as
strongest
predictor
Additionally,
its
not
self-esteem,
thus
second
hypothesis
confirmed
95%
confidence.
Conclusion:
Based
findings,
it
can
be
concluded
Язык: Английский
Harnessing Artificial Intelligence (AI) for Psychological Assessment and Treatment in Older Adults
Journal of Aging and Long-Term Care,
Год журнала:
2024,
Номер
unknown, С. 55 - 82
Опубликована: Янв. 1, 2024
This
review
article
examines
the
use
of
artificial
intelligence
(AI)
in
psychological
health
and
its
contribution
to
enhancing
care
for
older
adults.
All
over
world,
where
life
expectancy
is
continually
rising,
individuals
face
major
unique
issues,
including
anxiety,
depression,
dementia.
AI
provides
professionals
with
useful
instruments
recognize
disorders
at
initial
stage
create
an
individual
treatment
approach.
Technologies
such
as
machine
learning,
natural
language
processing,
wearable
devices
can
help
identify
early
signs
symptoms,
facilitating
more
accurate
diagnoses.
In
addition,
other
AI-enabled
solutions,
chatbots,
virtual
assistants,
socially
assistive
robots,
provide
better
timely
interventions
adults
issues
loneliness,
cognitive
decline,
limited
mobility
that
would
otherwise
bar
them
from
accessing
conventional
care.
However,
some
problems
be
associated
using
intelligence,
ethical
like
privacy,
fairness,
openness.
Therefore,
new
technologies
must
designed
address
needs
adults,
user-friendly,
uphold
individuals'
dignity.
Collaboration
this
area
also
important
because
healthcare
providers,
researchers,
developers
work
together
ensure
are
developed
complement
human
Artificial
has
potential
promote
well-being
overall
satisfaction
by
addressing
these
problems.
Язык: Английский