Point of View on Outcome Prediction Models in Post-Stroke Motor Recovery
Neurorehabilitation and neural repair,
Journal Year:
2024,
Volume and Issue:
38(5), P. 386 - 398
Published: March 18, 2024
Stroke
is
a
leading
cause
of
disability
worldwide
which
can
significant
and
persistent
upper
limb
(UL)
impairment.
It
difficult
to
predict
UL
motor
recovery
after
stroke
forecast
the
expected
outcomes
rehabilitation
interventions
during
acute
subacute
phases
when
using
clinical
data
alone.
Accurate
prediction
response
treatment
could
allow
for
more
timely
targeted
interventions,
thereby
improving
recovery,
resource
allocation,
reducing
economic
impact
post-stroke
disability.
Initial
impairment
currently
strongest
predictor
recovery.
Despite
progress,
current
models
be
refined
with
additional
predictors,
an
emphasis
on
time
dependency
patient-specific
predictions
profiles.
In
paper
panel
experts
provide
their
opinion
predictors
aspects
literature
that
help
advance
outcome
models.
Potential
strategies
include
close
attention
collection
timeframes
adoption
individual-computerized
modeling
methods
connected
patient’s
health
record.
These
should
account
non-linear
variable
pattern
spontaneous
neurological
Additionally,
input
extended
cognitive,
genomic,
sensory,
neural
injury,
function
measures
as
The
accuracy
may
further
improved
by
including
standardized
outcome.
Finally,
we
consider
potential
healthcare
costs.
Language: Английский
Smart speakers are an acceptable and feasible speech practice tool for children with speech difficulties
Lauren Makin,
No information about this author
Elizabeth Smith,
No information about this author
Craig Hedge
No information about this author
et al.
Disability and Rehabilitation Assistive Technology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 12
Published: April 17, 2025
A
record
number
of
children
are
experiencing
speech
difficulties.
This
study
explored
whether
mainstream
smart
speakers
can
support
practice,
and
assesses
a
proposed
five-factor
model
for
how
these
improvements
occur,
based
on:
spaced
learning,
immediate
feedback,
autonomous
motivation,
reduced
social
barriers,
increased
interactions.
We
conducted
mixed-methods
feasibility
with
11
families
Data
included
pre-
post-trial
recordings
(rated
by
24
naïve
raters),
activity
logs,
surveys
parents
children,
parent
interviews.
assessed
device
use,
changes
in
clarity,
alignment
the
5-factor
model,
barriers.
Children
used
on
average
once
daily
approximately
6
commands.
Speech
clarity
ratings
improved
post-exposure
correlated
use.
Parents
noted
spoke
more
slowly
loudly
to
device.
Both
child
reports
reflected
showing
engagement,
willingness
repeat
Naturalistic
use
is
an
acceptable
feasible
tool
practice
viewed
as
useful
complement
formal
therapy,
though
frustration
when
not
understood
remains
factor
implementation.
Language: Английский
“Currently flying blind” Stakeholders’ perceptions of implementing statewide population-based cancer staging at diagnosis into the Western Australian Cancer Registry: a rapid qualitative process evaluation of the WA Cancer Staging Project
BMC Health Services Research,
Journal Year:
2023,
Volume and Issue:
23(1)
Published: July 15, 2023
Cancer
stage
at
diagnosis
is
essential
for
understanding
cancer
outcomes,
guiding
control
activities
and
healthcare
services,
enabling
benchmarking
nationally
internationally.
Yet,
most
registries
in
Australia
do
not
routinely
collect
this
data.
This
study
explored
key
stakeholders'
perceptions
of
implementing
staging
utilising
Natural
Language
Processing
Machine
Learning
algorithms
within
the
Western
Australian
Registry.Perceptions
breast
colorectal
stakeholders,
including
registry
staff,
clinicians,
consumers,
data
scientists,
biostatisticians,
management,
health
researchers,
were
collected.
Prospective
retrospective
qualitative
proformas
two-time
points
Staging
Project
employed.
The
Consolidated
Framework
Implementation
Research
was
used
to
guide
collection,
analysis
interpretation
embedded
a
Participatory
Action
approach.
Data
also
incorporated
Analysis
an
adapted
version
grading
using
visual
traffic
light
labelling
system
highlight
levels
positivity,
negativity,
implementation
concern.Twenty-nine
pre-proformas
18
post-proformas
completed
online
via
REDCap.
presentation
barriers
enablers
aided
reviewing
predicted
intervention
outcomes.
Of
selected
constructs,
complexity
(the
perceived
difficulty
intervention)
strongest
barrier
tension
change
situation
needing
change)
enabler.
Implementing
into
Registry
considered
vital.
Benefits
included
improved
knowledge
various
outcomes
(e.g.,
treatment
received
as
per
Optimum
Care
Pathways)
benchmarking.
Barriers
compatibility
issues
with
current
systems/workflows,
departmental/higher
managerial
support,
future
sustainment.The
findings
aid
further
review
gaps,
additional
streams,
standardising
improvements.
offers
rapid
collection
analytic
approach
establishing
enablers.
may
assist
other
population-based
considering
collecting
diagnosis.
Language: Английский