UNSTRUCTURED
Although
digital
health
and
connected
technologies
are
gaining
popularity
among
older
adults,
many
barriers
have
been
identified
to
sustained,
meaningful
use,
which
will
support
better
outcomes.
The
purpose
of
this
study
is
closely
observe
the
initial
engagements
with
a
telehealth
treatment
app
blood
pressure
monitor
identify
potential
pain
points
that
may
impact
successful
setup
lead
stress,
frustration,
or
other
emotions.
Twenty-four
adults
were
provided
box
containing
tablet,
paper
instructions,
cuff.
Ethnographic
interviews
conducted
research
staff
observed
as
participants
unboxed
set
up
device.
While
some
challenges
arose
from
technology
its
interface,
challenges,
such
inconsistent
vague
language,
linked
instruction
sheet
related
customer
calls.
Participants
who
reported
lower
self-efficacy
at
beginning
also
experienced
anxiety,
embarrassment
friction
process
continued.
Future
work
should
be
sure
not
neglect
crucial
stage
impressions
emotional
apps,
prioritize
providing
trained
representatives
can
speak
in
clear,
consistent
terms
ensure
satisfaction,
build
trust,
drive
loyalty.
International Journal of Mental Health Nursing,
Год журнала:
2024,
Номер
33(2), С. 344 - 358
Опубликована: Фев. 12, 2024
Abstract
The
advent
of
artificial
intelligence
(AI)
has
revolutionised
various
aspects
our
lives,
including
mental
health
nursing.
AI‐driven
tools
and
applications
have
provided
a
convenient
accessible
means
for
individuals
to
assess
their
well‐being
within
the
confines
homes.
Nonetheless,
widespread
trend
self‐diagnosing
conditions
through
AI
poses
considerable
risks.
This
review
article
examines
perils
associated
with
relying
on
self‐diagnosis
in
health,
highlighting
constraints
possible
adverse
outcomes
that
can
arise
from
such
practices.
It
delves
into
ethical,
psychological,
social
implications,
underscoring
vital
role
professionals,
psychologists,
psychiatrists,
nursing
specialists,
providing
professional
assistance
guidance.
aims
highlight
importance
seeking
guidance
addressing
concerns,
especially
era
self‐diagnosis.
Journal of Medical Systems,
Год журнала:
2025,
Номер
49(1)
Опубликована: Март 11, 2025
Abstract
This
review
explores
the
acceptance
of
digital
health
(DH)
technologies
for
managing
non-communicable
diseases
(NCDs)
among
older
adults
(≥
50
years),
with
an
extended
focus
on
artificial
intelligence
(AI)-powered
conversational
agents
(CAs)
as
emerging
notable
subset
DH.
A
systematic
literature
search
was
conducted
in
June
2024
using
PubMed,
Web
Science,
Scopus,
and
ACM
Digital
Library.
Eligible
studies
were
empirical
published
English
between
January
2010
May
2024.
Covidence
software
facilitated
screening
data
extraction,
adhering
to
PRISMA-ScR
guidelines.
The
process
finally
yielded
20
studies.
Extracted
from
these
selected
included
interventions,
participant
demographics,
technology
types,
sample
sizes,
study
designs
locations,
measures,
key
outcomes,
methodological
limitations.
narrative
synthesis
approach
used
analysis,
revealing
four
findings:
(1)
overall
positive
attitudes
towards
DH
acceptance;
(2)
Technology
Acceptance
Model
(TAM)
Unified
Theory
Use
(UTAUT)
are
most
frequently
standard
frameworks
evaluating
(3)
facilitators
include
perceived
usefulness
,
ease
use
social
influence
or
e-health
literacy
while
barriers
involve
technical
challenges
usability
issues
privacy
concerns
;
(4)
AI-based
CAs
NCD
management
remains
inadequately
evaluated,
possibly
due
limited
adaptation
established
specific
healthcare
contexts
innovations.
significantly
contributes
field
by
providing
a
comprehensive
analysis
adults,
extending
beyond
feasibility
usability.
findings
offer
stakeholders
valuable
insights
into
how
better
integrate
improve
outcomes
quality
life
adults.
Protocol
Registration:
PROSPERO
(Registration
ID:
CRD42024540035).
BMJ Open,
Год журнала:
2024,
Номер
14(4), С. e078647 - e078647
Опубликована: Апрель 1, 2024
Objectives
To
map
the
current
use
of
paper-based
and/or
screen-based
media
for
health
education
aimed
at
older
people.
Design
A
scoping
review
was
reported
following
Preferred
Reporting
Items
Systematic
Reviews
and
Meta-analyses
Scoping
checklist.
Data
sources
The
search
carried
out
in
seven
databases
(Scopus,
Web
Science,
Embase,
Medline,
CINAHL,
ACM
Guide
to
Computing
Literature,
PsycINFO),
with
studies
available
from
2012
date
2022,
English,
Portuguese,
Italian
or
Spanish.
In
addition,
Google
Scholar
searched
check
grey
literature.
terms
used
strategy
were
adults,
education,
paper
media,
preferences,
intervention
other
related
terms.
Eligibility
criteria
Studies
included
those
that
interventions
individuals
using
described
barriers
facilitators
these
media.
extraction
synthesis
selection
by
two
reviewers.
data
form
developed
aim
extracting
recording
main
information
studies.
analysed
descriptively
Bardin’s
content
analysis.
Results
21
different
purposes,
ones
being
promotion
physical
activity,
hypertension
prevention
psychological
health.
All
involved
on
computers,
tablets,
smartphones
laptops,
while
only
4
such
as
booklets,
brochures,
diaries,
flyers
drawings.
This
appears
reflect
a
transition
population,
research
if
not
practice.
However,
analysis
both
revealed
10
design
factors
could
improve
reduce
their
use,
complementarity
application
each
type.
For
example,
have
multimedia
content,
additional
functionality
interactivity
through
good
interaction
design,
but
low
accessibility
require
learning
due
complex
interface
design.
Conversely,
had
static
high
availability
cost.
Conclusions
We
recommend
having
improved
continued
possible
combination
new
augmented
technology.
Registration
number
Open
Science
Framework
(DOI:
10.17605/OSF.IO/GKEAH).
International Nursing Review,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 15, 2024
Abstract
Aim
To
explore
the
ethical
considerations
and
challenges
faced
by
nursing
professionals
in
integrating
artificial
intelligence
(AI)
into
patient
care.
Background
AI's
integration
practice
enhances
clinical
decision‐making
operational
efficiency
but
raises
concerns
regarding
privacy,
accountability,
informed
consent,
preservation
of
human‐centered
Methods
A
systematic
review
was
conducted,
following
Preferred
Reporting
Items
for
Systematic
Reviews
Meta‐Analyses
(PRISMA)
guidelines.
Thirteen
studies
were
selected
from
databases
including
PubMed,
Embase,
IEEE
Xplore,
PsycINFO,
CINAHL.
Thematic
analysis
identified
key
themes
related
to
AI
use
nursing.
Results
The
highlighted
critical
challenges,
such
as
data
privacy
security,
accountability
AI‐driven
decisions,
transparency
decision‐making,
maintaining
human
touch
findings
underscore
importance
stakeholder
engagement,
continuous
education
nurses,
robust
governance
frameworks
guide
implementation
Discussion
results
align
with
existing
literature
on
complexities
healthcare.
Addressing
these
requires
strengthening
competencies
AI,
advocating
patient‐centered
design,
ensuring
that
upholds
standards.
Conclusion
Although
offers
significant
benefits
practice,
it
also
introduces
must
be
carefully
managed.
Enhancing
education,
promoting
developing
comprehensive
policies
are
essential
ethically
Implications
can
improve
efficiency,
nurses
actively
preserve
humanistic
care
aspects
through
ongoing
involvement
governance.
Health
Policy
Establish
protection
tailored
Support
professional
development
allocate
resources
PeerJ Computer Science,
Год журнала:
2025,
Номер
11, С. e2773 - e2773
Опубликована: Март 27, 2025
Background
The
healthcare
sector
is
experiencing
rapid
digital
advancements,
with
patients
increasingly
seeking
quick
and
seamless
interactions.
Artificial
intelligence
(AI)-driven
chatbots
are
becoming
an
integral
part
of
elderly
care,
transforming
provider-patient
engagement
supporting
health
behavior
goals
tailored
to
individual
preferences,
needs,
limitations.
Methods
This
study
developed
a
comprehensive
research
framework
incorporating
various
theoretical
perspectives
explore
the
determinants
sustained
use
AI-powered
among
older
adults.
also
examined
mediating
influence
perceived
humanness.
model
was
evaluated
using
partial
least
squares
structural
equation
modeling
(PLS-SEM)
on
cross-sectional
data
collected
from
158
individuals
aged
60
above.
Results
findings
show
that
satisfaction
significantly
influenced
by
facilitating
conditions,
hedonic
motivation,
confirmation,
performance
expectancy,
effort
expectancy.
Perceived
security
plays
critical
role
in
shaping
intention
continue
these
chatbots.
Moreover,
analysis
revealed
humanness
mediates
relationship
between
continuous
intentions
users
Saudi
Arabia.
Discussion
provides
valuable
insights
into
factors
influencing
adults’
acceptance
AI
Arabia,
particularly
post-COVID-19
era.
These
enrich
academic
discourse
offer
actionable
recommendations
for
organizations
adapting
evolving
landscape.
Dengue
fever
is
a
significant
public
health
concern
in
urban
Malaysia,
driven
by
high
population
density
and
rapid
urbanization.
Effective
prevention
requires
community
engagement
both
digital
training-based
interventions.
This
study
aims
to
evaluate
the
sociodemographic
perception-based
factors
associated
with
willingness
adopt
dengue
application
participate
training
programs
major
areas
of
Malaysia.
A
cross-sectional
was
conducted
from
February
May
2024
four
Malaysia;
Selangor,
Wilayah
Persekutuan,
Perak,
Johor
selected
due
their
incidence
rates,
large
populations,
active
multistage
stratified
random
sampling
method,
followed
systematic
at
household
level,
used
select
participants.
structured
questionnaire
then
administered
collect
data
on
characteristics,
perceptions
drone
use,
Descriptive
multinomial
logistic
regression
analyses
were
performed
identify
programs.
total
261
respondents
participated,
mean
age
34.3
years
(SD
=
12.7).
Younger
(<
40
years)
significantly
more
willing
("Yes"
vs.
"No":
OR
2.506,
95%
CI:
1.074-5.847,
p
0.034),
while
not
application.
Respondents
who
held
negative
use
less
likely
consider
downloading
("Maybe"
0.237,
0.058-0.962,
0.044),
indicating
that
mistrust
or
concerns
about
technology
may
act
as
barrier
intervention
adoption.
Other
factors,
including
gender,
duration
residence,
housing
type,
general
engage
either
intervention.
greater
training,
linked
reduced
likelihood
app
Gender,
type
engagement.
These
findings
suggest
potential
value
targeted
strategies
encourage
youth
involvement
address
improve
participation
efforts
Abstract
Background
The
nursing
profession
is
undergoing
rapid
transformation,
requiring
innovation
in
management
approaches
and
proactive
behaviors
among
staff.
Nurse
Managers
play
a
vital
role
through
managerial
innovation,
but
its
impacts
on
intensive
care
nurses’
proactivity
locus
of
control
remain
underexplored.
Objectives
This
study
aimed
to
assess
the
levels
Managers’
relate
it
orientations
nurses.
Methods
A
cross-sectional
correlational
design
was
adopted,
recruiting
242
nurses
from
Tanta
University
Hospital,
Egypt.
Participants
completed
standardized
questionnaires
measuring
perceived
behavior,
control.
Results
demonstrated
moderately
high
across
all
dimensions,
especially
continuous
learning
development
(mean
=
4.65)
advanced
technology
use
4.56).
Nurses
exhibited
sound
levels,
particularly
adaptability
4.40)
planning
4.35).
majority
showed
an
internal
(64.5%).
Managerial
had
significant
positive
correlations
with
(
r
0.45,
p
<
0.001)
0.42,
0.001).
Regression
analysis
revealed
age,
gender,
experience,
education,
ICU
type
as
predictors
Conclusion
Innovative
leadership
positively
influences
staff’s
over
their
practice.
underscores
nurse
managers
creating
empowering
environments
care.
Electronics,
Год журнала:
2024,
Номер
13(17), С. 3440 - 3440
Опубликована: Авг. 30, 2024
The
aging
population
requires
cutting-edge
approaches
to
geriatric
care,
with
digital
health
technologies
playing
a
crucial
part
in
meeting
the
challenging
demands
of
healthcare.
Current
frequently
fall
short
goal
providing
comprehensive,
real-time
monitoring
and
merging
contextually
complex
information
for
use
treatment
patients.
This
paper
addresses
these
limitations
by
integrating
innovative
within
RO-SmartAgeing
system
NeuroPredict
platform
boost
geriatric-care
outcomes.
It
emphasizes
multifaceted
design
development
processes
solutions,
emphasizing
multidisciplinary
approach
meticulous
choice
decision-making
tools.
presents
inclusion
tools,
namely
Medical
Blackbox
Gaitband,
into
platform;
tools
have
been
developed
purpose
gathering
physiological
data
allow
in-depth
evaluations
gait
patterns
vital
parameters
elderly
individuals.
present
research
major
breakthroughs
sensing
technology
capabilities,
illustrating
manner
which
enhance
patient
outcomes
timely,
data-driven
insights.
results
demonstrate
that
tailored
significantly
improve
outcomes,
underscoring
need
such
ongoing
improvements
able
address
solutions
dynamic
an
increasingly
population.
Children,
Год журнала:
2024,
Номер
11(6), С. 634 - 634
Опубликована: Май 24, 2024
Cyberbullying
has
emerged
as
a
pervasive
problem
among
high
school
students,
with
potentially
severe
consequences
for
their
mental
well-being.
This
study
aimed
to
investigate
the
prevalence,
risk
factors,
and
associations
of
cyberbullying
stress
well-being
students
in
Zagazig,
Egypt.
A
cross-sectional
was
conducted
562
using
random
sampling
technique.
The
data
were
collected
self-administered
questionnaire
that
included
Scale,
Perceived
Stress
Scale
(PSS-10),
General
Health
Questionnaire
(GHQ-12).
Descriptive
statistics,
independent
samples
t-tests,
multiple
regression,
mediation,
logistic
regression
analyses
employed
analysis.
prevalence
victimization
38.3%,
20.6%
exposed
two
or
three
behaviors
4.1%
four
more.
Female
those
under
18
years
old,
lower
educational
achievement,
higher
daily
internet
use
more
likely
experience
cyberbullying.
Cyberbullied
reported
significantly
levels
perceived
poorer
compared
non-cyberbullied
students.
mediated
relationship
between
general
psychological
health.
is
significant
Egypt,
detrimental
effects
on
Targeted
interventions
prevention
strategies
are
needed
address
promote
adolescents
digital
age.
