After neonatal care, what next? A qualitative study of mothers’ post-discharge experiences after premature birth in Kenya
International Journal for Equity in Health,
Год журнала:
2025,
Номер
24(1)
Опубликована: Янв. 20, 2025
Abstract
Background
Approximately
15
million
babies
are
born
prematurely
every
year
worldwide.
Sub-Saharan
Africa
(SSA)
and
Asia
account
for
more
than
half
of
the
global
preterm
deliveries.
Prominent
healthcare
structural
socio-economic
factors
in
SSA,
example
poverty
weak
health
systems,
amplify
vulnerabilities
mothers
premature
babies;
often
leading
to
poor
outcomes.
Post-discharge
mortality
rates
high,
readmission
is
common.
For
babies,
transition
home
from
hospital
marked
by
challenges
uncertainties.
This
study
explored
post-discharge
experiences
with
aim
identifying
their
needs
suggests
strategies
strengthen
support
discharge
preparation
care
baby
at
home,
reduce
rates.
Methods
Narrative
interviews
were
conducted
face-to-face
English
or
Swahili
34
recruited
two
public
hospitals
a
social
group
Nairobi,
Kenya
between
August—November
2021.
Interviews
audio
video-recorded
transcribed
analysis.
After
transcription,
translated,
where
applicable,
thematic
analysis
was
undertaken.
Results
neonatal
complex
process
mixed
emotions;
many
reported
feeling
unprepared
facing
stigma
while
communities.
Mothers
described
emotional
unit
information
needs.
Minimal
involvement
baby’s
appeared
contribute
mothers’
lack
confidence
caring
independently
when
they
no
longer
had
clinical
nursing
staff.
Insufficient
provided
on
hindered
smooth
highlighting
need
after
discharge.
Stigma
relating
beliefs
around
births
experienced
some
community
within
clinics.
Conclusions
To
transitions
strengthening
timing
adequacy
low-income
settings
SSA
–
such
as
Kenya—is
essential.
Introducing
build
assess
competencies
skills
breastfeeding
signs
deterioration
before
could
home.
Targeted
engagement
interventions
level
demystify
address
knowledge
gaps
about
deliveries
levels
broadly
system.
Язык: Английский
Research on the Impact of an AI Voice Assistant’s Gender and Self-Disclosure Strategies on User Self-Disclosure in Chinese Postpartum Follow-Up Phone Calls
Behavioral Sciences,
Год журнала:
2025,
Номер
15(2), С. 184 - 184
Опубликована: Фев. 10, 2025
This
study
examines
the
application
of
AI
voice
assistants
in
Chinese
postpartum
follow-up
phone
calls,
with
particular
focus
on
how
interaction
design
strategies
influence
users’
self-disclosure
intention.
A
2
(voice
gender:
female/male)
×
3
(self-disclosure
strategies:
normal
conversation
without
additional
disclosure/objective
factual
disclosure/emotional
and
opinion-based
disclosure)
mixed
experimental
(n
=
395)
was
conducted
to
analyze
gender
affect
stereotypes
(perceived
warmth
competence),
these
stereotypes,
mediated
by
privacy
calculus
dimensions
risks
perceived
benefits),
The
experiment
measured
various
indicators
using
a
7-point
Likert
scale
performed
data
analysis
through
variance
(ANOVA)
structural
equation
modeling
(SEM).
results
demonstrate
that
female
significantly
enhance
competence,
while
emotional
improve
warmth.
Stereotypes
about
assistant
positively
intention
mediating
effects
risk
benefit,
benefit
exerting
stronger
effect
than
risk.
These
findings
provide
valuable
insights
for
healthcare,
offering
actionable
guidance
enhancing
user
promoting
medical
contexts.
Язык: Английский