Frontiers in Public Health,
Год журнала:
2023,
Номер
10
Опубликована: Янв. 10, 2023
With
the
global
outbreak
of
coronavirus
disease
2019
(COVID-19),
public
health
has
received
unprecedented
attention.
The
cultivation
emergency
and
compound
professionals
is
general
trend
through
education.
However,
current
education
limited
to
traditional
teaching
models
that
struggle
balance
theory
practice.
Fortunately,
development
artificial
intelligence
(AI)
entered
stage
intelligent
cognition.
introduction
AI
in
opened
a
new
era
computer-assisted
education,
which
brought
possibilities
for
learning
AI-based
on
big
data
not
only
provides
abundant
resources
research
management
but
also
brings
convenience
students
obtain
information,
conducive
construction
introductory
professional
courses
students.
In
this
review,
we
elaborated
status
limitations
summarized
application
practice,
further
proposed
framework
how
integrate
into
curriculum.
rapid
technological
advancements,
believe
will
revolutionize
paradigm
help
respond
emergencies.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 240 - 262
Опубликована: Фев. 14, 2024
The
future
of
healthcare
is
a
dynamic
landscape
characterized
by
rapid
advancements,
evolving
patient
needs,
and
transformative
technologies.
This
chapter
explores
key
trends
predictions
shaping
the
industry.
It
covers
integration
AI,
telemedicine,
genomics,
empowerment.
These
shifts
promise
ecosystem
that
more
efficient,
accessible,
personalized
than
ever
before.
However,
they
also
present
challenges,
including
data
privacy,
ethical
considerations,
equitable
access.
Navigating
this
will
require
thoughtful
balance
innovation
practice,
ensuring
benefits
all
segments
society.
aims
to
equip
stakeholders
with
insights
strategies
navigate
complex
landscape,
advocating
for
prioritizes
patient-centricity
while
embracing
technological
progress
in
way
inclusive
beneficial
all.
International Nursing Review,
Год журнала:
2024,
Номер
71(4), С. 850 - 859
Опубликована: Янв. 9, 2024
To
assess
the
level
of
quiet
quitting
among
healthcare
workers
(HCWs)
and
identify
possible
differences
between
nurses,
physicians,
other
HCWs.
We
investigated
impact
sociodemographic
variables,
job
burnout,
satisfaction
on
levels.
Abstract
Background
To
assess
the
frequency,
risk
factors,
consequences,
and
prevention
of
violence
against
healthcare
workers
in
intensive
care
units.
Methods
PubMed,
Scopus,
Google
Scholar,
EMBASE,
Cochrane,
Web
Science
were
searched
for
studies
on
adult
Risk
patient
characteristics,
implications
collected.
Study
quality,
bias,
level
evidence
assessed
using
established
tools.
Results
Seventy-five
with
139,533
from
32
countries
included.
The
overall
median
frequency
was
51%
(IQR
37–75%).
Up
to
97%
experienced
verbal
violence,
up
82%
victims
physical
violence.
Meta-analysis
revealed
an
average
31%
(95%
CI
22–41%)
57%
48–66%),
12%
sexual
4–23%).
Heterogeneity
high
according
I
2
statistics.
Patients
most
common
perpetrators
(median
56%),
followed
by
visitors
22%).
Twenty-two
reported
increased
ratios
2.3
or
odds
22.9
ICU
compared
other
workers.
factors
experiencing
included
young
age,
less
work
experience,
being
a
nurse.
who
exhibited
violent
behavior
often
male,
older,
physically
impaired
drugs.
Violence
underreported
80%
cases
associated
higher
burnout
rates,
anxiety,
turnover
intentions.
Overall
low.
Conclusions
Workplace
is
frequent
units,
potential
serious
consequences
workers,
calling
heightened
awareness,
screening,
preventive
measures.
should
be
further
investigated.
Systematic
review
registration
:
protocol
this
registered
Prospero
January
15,
2023
(ID
CRD42023388449).
Frontiers in Public Health,
Год журнала:
2024,
Номер
12
Опубликована: Фев. 1, 2024
Background
The
life
satisfaction
and
job
performance
of
nursing
professionals
are
affected
by
a
multitude
factors,
including
work
engagement,
self-efficacy,
depression.
Job
Demands-Resources
(JD-R)
model
provides
theoretical
framework
to
explore
these
relationships.
Objective
Our
study
aimed
analyze
the
primary
goal
this
research,
which
is
examine
mediating
role
engagement
in
relationship
between
depression,
professional
performance,
their
impact
on
nurses,
using
JD-R
theory
as
guide.
Methods
This
cross-sectional
involved
579
participants
aged
21
57
years
(
M
=
39,
SD
9.95).
Mediation
analysis
was
used
influence
turn,
its
effect
satisfaction.
Results
Findings
indicated
that
plays
crucial
Interventions
increase
could
assist
nurses
better
managing
depression
improving
Conclusions
highlights
need
for
workplace
policies
strategies
foster
self-efficacy
among
while
effectively
demands
prevent
Moreover,
findings
underscore
importance
understand
improve
nurses'
suggest
areas
future
exploring
other
potential
factors
applying
across
different
contexts
cultures.
BMC Health Services Research,
Год журнала:
2025,
Номер
25(1)
Опубликована: Янв. 14, 2025
Healthcare
organizations
experience
difficult
challenges
as
a
result
of
nursing
staff
turnover.
This
is
because
it
not
only
interrupts
continuity
service
but
also
its
financial
implications.
The
purpose
the
study
was
to
find
out
effects
work
engagement
on
nurses'
intentions
leave
their
jobs
while
considering
resilience
mediating
factor.
used
descriptive-analytical
design
using
survey
questionnaire
nurses
working
in
different
healthcare
settings.
Utrecht
Work
Engagement
Scale,
Brief
Resilience
and
Turnover
Intention
Scale
were
among
validated
scales
that
employed.
hypothesized
relations
tested
descriptive
mediation
analyses
at
significance
<0.05.
Though
turnover
intention
(n
=
3.83
±
1.42)
level
4.03
1.32)
high,
average
2.48,
SD:
0.63).
had
negative
association
with
(β
-
0.5699,
p
<
.0001),
there
significant
between
relationship
-0.0367,
.05).
Disengaged
are
more
likely
jobs.
Moreover,
acts
mechanism
through
which
influences
intentions.
emphasizes
need
encourage
lessen
profession.
Among
factors
can
improve
reduce
include
conducting
regular
assessments,
fostering
positive
workplace
cultures,
employing
flexible
scheduling
practices,
offering
resources
for
personal
professional
development.
Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Июль 3, 2023
Abstract
Introduction:
Quiet
quitting
seems
to
be
a
new
threat
for
healthcare
workers
and
organizations.
Individuals
now
tend
stay
at
their
jobs
covering
only
the
bare
requirements.
High
levels
of
burnout
among
nurses
especially
after
COVID-19
pandemic
could
further
increase
quiet
quitting.
Objective:
To
investigate
impact
nurses’
job
on
Moreover,
we
assessed
mediating
effect
satisfaction
relationship
between
Methods:
We
conducted
cross-sectional
study
in
Greece.
collected
data
during
June
2023.
A
convenience
sample
946
was
obtained.
used
“Quiet
Quitting”
Scale
(QQS)
measure
within
nurses,
“Copenhagen
Burnout
Inventory”
burnout,
“Job
Satisfaction
Survey”
(JSS)
satisfaction.
In
mediation
analysis,
controlled
effects
demographic
characteristics.
Results:
Mean
score
QQS
2.36,
while
JSS
101.23.
Also,
mean
scores
work-related
personal
client-related
were
62.25,
64.53,
64.45
respectively.
Job
positive
predictor
(beta
=
0.009,
95%
confidence
interval
0.007
0.012,
p
<
0.001),
negative
-0.004,
-0.006
-0.003,
0.001).
partially
mediated
(indirect
0.0035,
0.0021
0.0051,
Conclusion:
affected
through
It
is
essential
reduce
improve
decrease
level
nurses.
Effective
measures
should
taken
order
thereby
Healthcare,
Год журнала:
2023,
Номер
12(1), С. 79 - 79
Опубликована: Дек. 29, 2023
As
turnover
intention
is
a
strong
determinant
of
actual
behavior,
scholars
should
identify
the
determinants
intention.
In
this
context,
aim
study
was
to
assess
effect
quiet
quitting
on
nurses’
intentions.
Additionally,
examined
impact
several
demographic
and
job
characteristics
A
cross-sectional
with
629
nurses
in
Greece
conducted.
The
data
were
collected
September
2023.
Quiet
measured
“Quiet
Quitting”
scale.
study,
60.9%
considered
quitters,
while
40.9%
experienced
high
levels
Multivariable
regression
analysis
showed
that
higher
increased
Moreover,
found
among
females,
shift
workers,
private
sector,
those
who
their
workplace
understaffed.
Also,
clinical
experience
associated
positively
Since
affects
intention,
organizations,
policymakers,
managers
address
issue
improve
intentions
stay
at
jobs.
Abstract
Background
Nursing
incivility,
defined
as
disrespectful
behaviour
toward
nurses,
is
increasingly
recognized
a
pressing
issue
that
affects
nurses’
well-being
and
quality
of
care.
However,
research
on
the
pathways
linking
incivility
to
outcomes
limited,
especially
in
Saudi
hospitals.
Methods:
This
cross-sectional
study
examined
relationships
between
perceived
nursing
nurse
stress,
patient
engagement,
health
four
Using
validated
scales,
289
nurses
512
patients
completed
surveys
exposure
stress
levels,
activation,
medication
adherence.
The
included
readmissions
at
30
days
satisfaction.
Results:
More
than
two-thirds
reported
experiencing
moderate
severe
workplace
incivility.
Correlation
regression
analyzes
revealed
was
positively
associated
with
stress.
An
inverse
relationship
found
participation.
Serial
mediation
analysis
illuminated
detrimental
cascade,
contributing
increased
subsequently
diminishing
ultimately
worsening
care
quality.
Conclusions
findings
present
robust
evidence
has
adverse
ripple
effects,
directly
impacting
while
indirectly
affecting
through
reduced
involvement.
Practical
implications
advocate
for
systemic
interventions
focused
constructive
cultures
empowerment
improve
both
healthcare
provider
conditions
provides
compelling
information
inform
policies
strategies
mitigate
mistreatment
encourage
participation
among
outcomes.
