Effects of ICT-based cognitive behavioral therapy using Smart Sleep for insomnia in older adults: Randomized controlled trial (Preprint)
Published: Oct. 20, 2024
BACKGROUND
Insomnia
is
a
common
sleep
disorder,
especially
among
the
elderly,
with
significant
impact
on
quality
of
life
(QoL)
and
associated
various
comorbidities.
Traditional
pharmacotherapy
for
insomnia
often
unsuitable
older
adults
because
potential
drug
interactions
side
effects,
making
non-pharmacological
interventions
such
as
cognitive
behavioral
therapy
(CBT-I)
more
appropriate.
However,
delivering
CBT-I
in
traditional
face-to-face
setting
poses
challenges
including
accessibility
adherence,
particularly
adults.
OBJECTIVE
This
study
aimed
to
evaluate
effectiveness
an
information
communication
technology
(ICT)-based
program,
“Smart
Sleep,”
specifically
designed
improve
community-dwelling
elderly
persons.
METHODS
A
randomized,
single-blind
controlled
trial
was
conducted
59
participants
from
Incheon,
South
Korea.
Participants
were
divided
into
intervention
group,
which
used
Smart
Sleep
mobile
app,
control
group.
The
group
received
8
weeks
non-face-to-face
through
application,
included
diaries,
relaxation
exercises,
real-time
consultations.
Outcomes
measured
at
baseline,
week
4,
8,
focus
severity,
quality,
efficiency,
dysfunctional
beliefs
about
sleep,
depression,
QoL.
RESULTS
showed
improvements
compared
there
no
difference
QoL
between
two
groups
(F=0.998,
p=.372).
Participation
rates
program
high,
94%
completion
rate
diary
tasks
100%
participation
CONCLUSIONS
ICT-based
"Smart
Sleep"
effectively
improved
sleep-related
outcomes
participants,
demonstrating
managing
this
population.
user-friendly,
coaching
contributed
high
engagement.
To
ensure
broader
access
distribution
community
welfare
or
public
health
centers
recommended.
CLINICALTRIAL
cris.org
KCT0007287
Language: Английский
Effectiveness of ICT-Based Cognitive Behavioral Therapy Using Smart Sleep App on Insomnia in Older Adults: A Randomized Controlled Trial (Preprint)
Journal of Medical Internet Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 20, 2024
Language: Английский