Use of a trigger tool to describe and screen drug-related hospital admissions in older adults: the TRIGGAge retrospective cohort study
Vincent Dauny,
No information about this author
Alix Minaud,
No information about this author
Léa Boutitie
No information about this author
et al.
Age and Ageing,
Journal Year:
2025,
Volume and Issue:
54(1)
Published: Jan. 1, 2025
Abstract
Introduction
Drug-related
hospital
admissions
(DRAs)
can
account
for
5%–40%
of
total
in
older
adults,
with
a
significant
proportion
deemed
preventable.
To
increase
the
detection
DRAs,
2021,
revised
trigger
tool
listing
21
frequent
causes
and
medications
at
risk
was
proposed.
This
study
aimed
to
describe
DRAs
using
this
French
acute
geriatric
ward
assess
performance
tool.
Methods
retrospective
cohort
20-bed
unit
including
all
patients
hospitalised
2023.
During
first
quarter
2024,
each
patient’s
chart
adjudicated
by
two-step
standardised
review
procedure
whether
admission
DRA.
The
potentially
cause
reasons
were
also
assessed.
Results
period,
483
acute-care
(mean
age
86.7
±
6.15
years).
After
adjudication,
207
(43%)
identified
as
DRAs;
70%
considered
main
falls/fractures
(33%),
bleeding
(23%)
delirium
(14%).
drugs
most
frequently
responsible
diuretics
(21%),
renin–angiotensin
system
inhibitors
(20%)
direct
oral
anticoagulants
(15%).
overall
sensitivity
specificity
detecting
90%
(95%
CI
88–93)
72%
(68–76),
respectively.
helped
detect
83%
more
compared
attending
geriatrician.
Conclusion
are
population
often
Their
may
be
improved
use
Language: Английский
Parental Supervision and Its Impact on Children’s Screen Time, Behavior, and Health Outcomes in Duhok City, Iraq: A Cross-Sectional Study
Bashar Mohammed
No information about this author
Cureus,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 16, 2025
The
modernization
of
technology
today
has
raised
concerns
among
parents
and
health
professionals
about
its
probable
impact
on
children's
sleep,
vision,
behavior,
school
performance.
This
study
explores
the
effects
digital
screen
use
focusing
time
duration,
parental
use,
device
types,
supervision.
It
examines
key
risk
factors
correlations.
A
descriptive
design
was
used
to
explore
impacts
usage
behavior.
Parents
580
children
aged
1-12
years
from
Duhok
City,
Iraq,
were
included.
data
collected
through
online
questionnaires
addressing
demographic
data,
time,
physical
behavioral
issues.
IBM
SPSS
Statistics
for
Windows,
Version
27.0
(2020;
Corp.,
Armonk,
New
York,
United
States)
analyze
variables,
a
p-value
<
0.05
considered
significant.
total
involved
in
this
study.
majority
(41.6%)
1-3
years,
with
59.7%
male.
phone
most
commonly
(39.0%)
38.8%
owned
device;
59.5%
reported
moderate
control
over
them
(46.4%)
had
secondary
or
institute
education.
Post-device
51%
no
change
cognition,
but
27.6%
worse
cognition
41.2%
noted
increased
nervousness.
Approximately
45.9%
supervised
time.
Supervision
did
not
appear
significantly
influence
sleep
disturbances
as
compared
unsupervised
(39.1%
vs.33.1%,
p=0.135).
However,
eye
problems
showed
significant
correlation
(66.9%
vs.
76.4%,
p=0.009).
Younger
(25-35
years)
more
likely
monitor
(58.6%)
older
(>36
23.3%).
Regression
analysis
confirms
parents'
own
notably
predicted
(B=0.155,
p<0.001).
These
findings
highlight
importance
behavior
influencing
habits
outcomes.
reveals
suggest
that
have
fewer
problems.
are
their
highlighting
role
involvement.
results
need
evidence-based
guidelines
awareness
manage
effectively,
promoting
healthier
growth
children.
Language: Английский
Development of the parental knowledge-attitude scale for children’s use of digital devices: a methodological study
Journal of Health Sciences and Medicine,
Journal Year:
2025,
Volume and Issue:
8(2), P. 241 - 248
Published: March 21, 2025
Aims:
This
study
focuses
on
creating
a
comprehensive
scale
to
measure
parents’
knowledge
and
attitudes
about
children’s
digital
device
use
rigorously
examining
its
validity
reliability
ensure
effectiveness.
Methods:
The
was
designed
conducted
using
methodological
approach.
A
43-item
question
pool
created
for
the
Parental
Knowledge-Attitude
Scale
of
devices.
After
receiving
expert
opinions
items
conducting
pilot
study,
number
reduced
19.
field
19-item
scale.
research
carried
out
in
pediatric
clinics
university
training
hospital
between
February
March
2023.
universe
consisted
parents
(n=416)
whose
children
ages
6
months
years
were
hospitalized
specified
any
reason
dates,
who
did
not
have
chronic
diseases
or
psychological
problems,
open
communication
cooperation.
with
entire
population
without
sampling
method.
Statistical
analysis
data
performed
SPSS
AMOS
software.
statistical
significance
level
accepted
as
5%.
Ethical
principles
been
adhered
to.
Results:
It
determined
that
obtained
suitable
factorization
sample
size
sufficient.
Exploratory
factor
discover
construct
validity.
factors
decided
according
eigenvalue
criteria,
explained
variance,
scree
plot
graph.
had
3
components
there
significant
correlation
among
them.
total
variance
by
61.3%.
score
average
75.95±10.7
Cronbach
alpha
coefficient
0.979.
item
discrimination
method
used
internal
consistency
scale,
it
each
distinguished
measured
phenomenon
statistically
(p
Language: Английский
Screen time exposure and academic performance, anxiety, and behavioral problems among school children
PeerJ,
Journal Year:
2025,
Volume and Issue:
13, P. e19409 - e19409
Published: May 8, 2025
Background
The
growth
of
the
digital
landscape
has
surely
outpaced
research
on
effects
screen
media
health,
learning,
and
development
children.
potential
risk-to-benefit
ratio
exposure
for
education
entertainment
purposes
warrants
further
exploration.
Therefore,
we
aimed
to
investigate
relationships
between
time
academic
performance,
anxiety,
outdoor
playing
among
school
children
in
India.
Methods
A
total
537
parents
responded
this
online
survey
reported
approximately
Indian
(mean
age
10.9
years)
from
five
schools.
Data
was
collected
using
an
e-questionnaire
which
consisted
a
socio-demographic
domain,
recreational
activities,
self-reported
physical
measures,
information
related
children’s
time,
Spence
Children
Anxiety
Scale
(SCAS),
Pediatric
Symptom
Checklist
(parent
version)
instruments.
We
employed
multivariate
linear
regression
models
estimate
association
predictor
variables
with
0.05
alpha
as
level
significance.
Results
mean
3.06
±
1.22
h/day,
average
duration
play
per
week
11.23
4.1
h,
body
mass
index
(BMI)
18.2
3.2.
Screen
(h)
typical
positively
correlated
BMI,
SCAS
anxiety
score,
behavioral
problems
negatively
performance.
School
their
symptoms,
performance
according
analysis.
Conclusion
Our
findings
pointed
out
that
associated
increased
poor
These
insights
shall
be
used
targeted
tailored
interventions
strategies
reduce
childhood
obesity
time.
Further
is
necessary
rule
influence
other
intricate
factors,
such
sleep,
parental
practices,
family
connectedness,
supervision
parents.
careful
use
must
serve
positive
force
educational
developmental
trajectories.
Language: Английский