Correlation Between the Online Visiting Time and Frequency Increase in Telemedicine Services Offered by Health Care Providers Before, During, and After the COVID-19 Pandemic in China: Cross-Sectional Study
Journal of Medical Internet Research,
Journal Year:
2025,
Volume and Issue:
27, P. e65092 - e65092
Published: Feb. 26, 2025
Background
China
has
changed
its
COVID-19
prevention
and
control
status
since
2023.
However,
what
role
telemedicine
will
play
post–COVID-19
is
still
uncertain.
Objective
We
aimed
to
determine
the
frequency
change
in
health
care
providers
offering
services
before,
during,
after
COVID-19,
as
well
correlation
between
visit
time.
Methods
The
Telemedicine
Informationization
Professional
Committee
of
(TIPC)
carried
out
a
nationwide
questionnaire
survey.
adopted
data
from
part
questionnaires
that
answered
questions
regarding
explosion.
Chi-square
tests
were
applied
compare
general
differences
between-group
frequency.
Regression
models
performed
analyze
correlations
time
spent
online
versus
in-person
visits.
Results
Questionnaires
428
included.
As
reported,
39
(9.11%)
often
159
(37.15%)
always
offered
before
exploded.
component
ratio
increased
12.38%
(n=53)
45.79%
(n=196)
during
explosion
12.62%
(n=54)
50%
(n=214)
pandemic
was
relaxed.
increase
shown
difference
groups
(χ2=17.21,
P.002)
(χ2=30.17,
P<.001)
significant,
while
it
insignificant
(χ2=2.89,
P.57).
Senior
professional
titles
(odds
[OR]
4.38,
95%
CI
1.72-11.6)
longer
(OR
3.87,
1.95-7.89)
shorter
2.04,
1.11-3.87)
visits
correlated
with
COVID-19.
In
addition,
senior
3.47,
1.46-8.49),
3.14,
1.64-6.11)
(OR=2.27,
1.31-4.07)
visits,
using
third-party
platforms
0.51,
0.29-0.86)
No
factor
significantly
stratified
analysis,
both
3.84,
1.73-8.83)
3.40,
1.61-7.34)
for
hospital-run
platforms,
8.16,
1.39-68.3)
5.70,
1.22-33.6)
platforms.
Conclusions
exploded
different
third
party
On
platform,
have
higher
telemedicine,
on
are
more
likely
offer
telemedicine.
Language: Английский
Task-sharing and telemedicine delivery of psychotherapy to treat perinatal depression: a pragmatic, noninferiority randomized trial
Daisy R. Singla,
No information about this author
Richard K. Silver,
No information about this author
Simone N. Vigod
No information about this author
et al.
Nature Medicine,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 3, 2025
Language: Английский
Artificial intelligence tools in supporting healthcare professionals for tailored patient care
npj Digital Medicine,
Journal Year:
2025,
Volume and Issue:
8(1)
Published: April 16, 2025
Artificial
intelligence
(AI)
tools
to
support
clinicians
in
providing
patient-centered
care
can
contribute
patient
empowerment
and
efficiency.
We
aimed
draft
potential
AI
for
tailored
corresponding
patients'
needs
assess
clinicians'
perceptions
about
the
usefulness
of
those
tools.
To
define
issues,
we
analyzed
528,199
messages
11,123
patients
with
diabetes
by
harnessing
natural
language
processing
AI.
Applying
multiple
prompt-engineering
techniques,
drafted
a
series
tools,
five
endocrinologists
evaluated
them
perceived
risk.
Patient
education
administrative
timely
streamlined
interaction
were
as
highly
useful,
yet
deeper
integration
into
data
was
risky.
This
study
proposes
assorted
applications
clinical
assistance
substantiated
evaluations.
Findings
could
offer
essential
ramifications
developing
precision
beyond.
Language: Английский
Motivation and Use of Telehealth Among People with Depression in the United States
Journal of Primary Care & Community Health,
Journal Year:
2024,
Volume and Issue:
15
Published: Jan. 1, 2024
The
global
mental
health
crisis,
compounded
by
the
challenges
of
COVID-19
pandemic,
underscores
urgent
need
for
accessible
care
solutions.
Telehealth
services
have
emerged
as
a
promising
technology
to
address
barriers
access
services.
However,
population-based
studies
examining
telehealth
utilization
among
individuals
with
depression
are
limited.
Language: Английский