British Journal of Clinical Pharmacology,
Год журнала:
2023,
Номер
90(3), С. 905 - 911
Опубликована: Ноя. 13, 2023
Our
study
investigated
the
association
between
patients'
willingness
to
have
medications
deprescribed
and
medication
adherence.
This
longitudinal
substudy
of
'Optimizing
PharmacoTherapy
In
Multimorbid
Elderly
in
Primary
CAre'
(OPTICA)
trial,
a
cluster
randomized
controlled
took
place
Swiss
primary
care
settings.
Participants
were
aged
≥65
years
over,
with
≥3
chronic
conditions
≥5
regular
medications.
At
baseline,
'revised
Patient
Attitudes
Towards
Deprescribing'
(rPATD)
questionnaire
was
measured.
The
A14-scale
measured
adherence
(self-report)
at
12-month
follow-up.
Multilevel
linear
regression
analyses
adjusted
for
baseline
variables
performed.
Of
298
participants,
45%
women,
median
age
78.
reported
high
level
deprescribed.
We
did
not
find
evidence
an
deprescribe
Further
research
is
needed
explore
relationship
these
concepts
inform
collaborative
decisions
about
medicines
context
polypharmacy.
Innovation in Aging,
Год журнала:
2025,
Номер
9(2)
Опубликована: Янв. 1, 2025
Polypharmacy,
the
concurrent
use
of
multiple
medicines,
is
a
growing
concern
among
older
adults
and
those
with
chronic
conditions.
Deprescribing
through
dose
reduction
or
discontinuing
selected
medicines
strategy
for
reducing
medicine-related
harm.
The
Patient
Typology
was
developed
using
qualitative
methods
to
describe
varying
factors
that
are
important
when
they
consider
deprescribing.
objective
this
study
quantitative
define
distinct
classes
via
Typology.
This
used
cross-sectional
experimental
design
in
which
data
collected
an
online
survey
from
participants
65
years
Australia,
Netherlands,
United
Kingdom,
States.
A
latent
class
analysis
performed
4-item
about
beliefs
importance
how
learn
medicine
decision-making
preferences,
attitudes
towards
stopping
medicines.
Older
(n
=
2,250)
were
median
70
2-thirds
reported
their
highest
level
education
associate's
degree
trade
school
less.
We
identified
4
classes:
Class
1
"Trusts
doctor"
(41.6%),
2
"Makes
own
decisions"
(30.2%),
3
"Avoids
deprescribing"
(15.5%),
'Medicines
not
important'
(12.7%).
report
diverse
perspectives
deprescribing,
emphasizing
need
tailored
communication
strategies
clinical
settings.
Additional
research
needed
examine
adults'
preferences
real-world
contexts
refine
improve
deprescribing
interventions.
NCT04676282.
JAMA Network Open,
Год журнала:
2025,
Номер
8(2), С. e2457498 - e2457498
Опубликована: Фев. 10, 2025
Importance
Better
understanding
of
patients’
attitudes
toward
deprescribing
specific
medications
will
inform
future
interventions.
Objective
To
investigate
older
adults’
by
investigating
which
they
would
like
to
have
deprescribed,
the
reasons
why,
and
patient
factors
associated
with
interest
in
deprescribing.
Design,
Setting,
Participants
This
survey
study
was
conducted
from
May
2022
December
2023
primary
care
settings
14
countries.
Patients
aged
65
years
or
taking
5
more
were
consecutively
recruited
their
general
practitioner
(GP)
completed
questionnaire.
Exposures
Patient
characteristics,
including
gender,
number
medications,
GP
education
level,
financial
status,
confidence
completing
medical
forms,
self-rated
health,
satisfaction
trust
GP,
country.
Main
Outcomes
Measures
The
outcomes
as
measured
responses
question,
“Thinking
about
your
current
medication
list,
are
there
any
that
you
stop
reduce
dose
of?”
Multilevel
multivariable
logistic
regression
analysis
used,
adjusted
for
clustering
effect
at
country
association
between
characteristics
Results
Of
1340
patients
(mean
[SD],
96
[47]
per
country),
736
(55%)
women,
580
(44%)
had
secondary
school
highest
level
education,
1089
(82%)
satisfied
589
expressed
deprescribe
1
medications.
varying
levels,
79%
(86
109
patients)
Poland
23%
(21
Bulgaria.
3
most
reported
deprescribed
diuretics
(111
1002
[11%]),
lipid-modifying
agents
(109
acting
on
renin-angiotensin
system
(83
[8%]).
odds
naming
least
lower
higher
(odds
ratio,
0.31;
95%
CI,
0.21-0.47)
0.960;
0.930-0.998).
Conclusions
Relevance
In
this
older,
varied
across
countries,
demonstrating
interventions
could
be
impactful
when
adapted
contexts.
These
findings
highlight
importance
patient-practitioner
communication
ensuring
appropriate
use.
BMJ Open,
Год журнала:
2024,
Номер
14(1), С. e075325 - e075325
Опубликована: Янв. 1, 2024
Objective
To
investigate
the
association
between
older
patients’
willingness
to
have
one
or
more
medications
deprescribed
and:
(1)
change
in
medications,
(2)
appropriateness
of
and
(3)
implementation
prescribing
recommendations
generated
by
electronic
decision
support
system
tested
‘Optimising
PharmacoTherapy
In
Multimorbid
Elderly
Primary
CAre’
(OPTICA)
trial.
Design
A
longitudinal
sub-study
OPTICA
trial,
a
cluster
randomised
controlled
Setting
Swiss
primary
care
settings.
Participants
were
aged
≥65
years,
with
≥3
chronic
conditions
≥5
regular
recruited
from
43
general
practitioner
(GP)
practices.
Exposures
Patients’
was
assessed
using
three
questions
‘revised
Patient
Attitudes
Towards
Deprescribing’
(rPATD)
questionnaire
its
concerns
about
stopping
score.
Measures/analyses
Medication-related
outcomes
collected
at
1
year
follow-up.
Aim
outcome:
number
long-term
baseline
12
month
2
medication
(Medication
Appropriateness
Index).
3
binary
variable
on
whether
any
recommendation
during
review
implemented.
We
used
multilevel
linear
regression
analyses
(aim
aim
2)
logistic
3).
Models
adjusted
for
sociodemographic
variables
clustering
effect
GP
level.
Results
298
patients
completed
rPATD,
45%
women
78
years
median
age.
statistically
significant
found
score
over
time
(per
1-unit
increase
average
use
0.65
higher;
95%
CI:
0.08
1.22).
Other
than
that
we
did
not
find
evidence
associations
agreement
deprescribing
medication-related
outcomes.
Conclusions
an
most
measures
patient
year.
Trial
registration
NCT03724539
.
Journal of Medical Internet Research,
Год журнала:
2024,
Номер
26, С. e60794 - e60794
Опубликована: Дек. 16, 2024
Background
Given
the
public
release
of
large
language
models,
research
is
needed
to
explore
whether
older
adults
would
be
receptive
personalized
medication
advice
given
by
artificial
intelligence
(AI)
tools.
Objective
This
study
aims
identify
predictors
likelihood
stopping
a
and
influence
source
information.
Methods
We
conducted
web-based
experimental
survey
in
which
US
participants
aged
≥65
years
were
asked
report
their
based
on
information
using
6-point
Likert
scale
(scale
anchors:
1=not
at
all
likely;
6=extremely
likely).
In
total,
3
medications
presented
randomized
order:
aspirin
(risk
bleeding),
ranitidine
(cancer-causing
chemical),
or
simvastatin
(lack
benefit
with
age).
5
sources
presented:
primary
care
provider
(PCP),
pharmacist,
AI
that
connects
electronic
health
record
(EHR)
provides
PCP
(“EHR-PCP”),
EHR
access
directly
(“EHR-Direct”),
asks
questions
provide
(“Questions-Direct”)
directly.
calculated
descriptive
statistics
who
extremely
likely
(score
6)
stop
used
logistic
regression
demographic
being
(scores
4-6)
as
opposed
unlikely
1-3)
medication.
Results
Older
(n=1245)
reported
PCP’s
recommendation
(n=748,
60.1%
[aspirin]
n=858,
68.9%
[ranitidine])
compared
pharmacist
(n=227,
18.2%
[simvastatin]
n=361,
29%
[ranitidine]).
They
infrequently
when
recommended
(EHR-PCP:
n=182,
14.6%
n=289,
23.2%
[ranitidine];
EHR-Direct:
n=118,
9.5%
n=212,
17%
Questions-Direct:
n=121,
9.7%
n=204,
16.4%
adjusted
analyses,
characteristics
increased
following
an
included
Black
African
American
White
(Questions-Direct:
odds
ratio
[OR]
1.28,
95%
CI
1.06-1.54
EHR-PCP:
OR
1.42,
1.17-1.73),
having
higher
self-reported
1.09,
1.01-1.18
1.13
95%,
1.05-1.23),
confidence
1.36,
1.16-1.58
1.55,
1.33-1.80),
apps
(EHR-Direct:
1.38,
1.18-1.62
1.49,
1.27-1.74).
literacy
less
0.81,
0.75-0.88
0.85,
0.78-0.92).
Conclusions
have
reservations
about
However,
individuals
are
American,
health,
may
AI-based
recommendations.
Journal of the American Geriatrics Society,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 9, 2025
ABSTRACT
Background
Little
is
known
about
how
patients'
preferences,
expectations,
and
beliefs
(jointly
referred
to
as
perspectives)
influence
deprescribing.
We
evaluated
the
association
of
self‐reported
perspectives
with
subsequent
deprescribing
diabetes
medications
in
older
adults
type
2
diabetes.
Methods
Longitudinal
cohort
study
1629
pharmacologically
treated
ages
65–100
years
who
received
care
at
Kaiser
Permanente
Northern
California
(KPNC)
participated
Diabetes
Preferences
Self‐Care
survey
(2019).
The
asked
questions
regarding
use
medications.
Deprescribing
was
identified
during
24
months
following
defined
any
following:
discontinuation
one
or
more
therapeutic
classes,
reduction
frequency
daily
dosing,
total
pill
count,
dose
for
oral
hypoglycemic
agents.
Rates
measures
relative
risk
were
calculated
select
clinical
factors.
Models
predicting
adjusted
age,
sex,
race/ethnicity,
health
literacy,
baseline
number
medications,
duration
diabetes,
overtreatment
per
Endocrine
Society
guidelines,
KPNC
eligibility
targeted
weighted
account
age‐stratified
complex
sampling
design
response.
Results
Six
hundred
seventy‐three
(38%)
patients
experienced
over
a
mean
follow‐up
23
months.
significantly
associated
patient
perspectives:
not
expecting
need
medication
life
(RR
=
1.48,
95%
CI:
1.07–2.03)
recognizing
that
taking
fewer
could
lead
higher
blood
sugar
levels
1.31,
1.09–1.58).
Conclusions
Patients'
may
enable
hinder
deprescribing,
emphasizing
importance
soliciting
these
shared
decision‐making.
Effective
will
benefit
from
understanding
fostering
patient–provider
communication
changes
throughout
disease
course.
Frontiers in Pharmacology,
Год журнала:
2024,
Номер
15
Опубликована: Сен. 20, 2024
Introduction
The
prevalent
overprescribing
of
proton
pump
inhibitors
(PPIs)
poses
health
risks
from
prolonged
use.
GPs
play
a
key
role
in
initiating
deprescribing
PPIs,
so
understanding
their
decision-making
factors
and
strategies
to
improve
feasibility
is
crucial.
This
study
aimed
investigate
the
perspectives
on
PPIs
with
focus
identifying
facilitators,
barriers,
enhance
clinical
settings.
Methods
A
qualitative
involving
semi-structured
interviews
was
conducted
nine
or
trainees.
thematic
analysis
using
NVivo
R1
(2020).
Results
Four
main
categories
were
identified:
1)
Inappropriate
prescribing
2)
Facilitators
for
3)
Barriers
4)
Feasibility
PPIs.
acknowledged
excessive
often
inappropriate
PPI
prescribing,
lack
efforts
mainly
due
time
constraints.
Other
barriers
included
patient
reluctance,
fear
symptom
recurrence,
unawareness
long-term
risks.
Patient-initiated
request
facilitator
emphasized
need
collaboration
healthcare
professionals,
clear
guidelines,
improved
digital
support,
increased
physician
availability,
raising
awareness
among
providers
patients
feasibility.
Discussion
are
calling
multifaceted
approach
patient-centered
approaches,
systemic
optimizations,
support
other
provider-centered
emphasize
importance