Objective
Adopting
healthy
behavior
is
vital
for
preventing
chronic
diseases.
Mobile
health
(mHealth)
interventions
utilizing
virtual
coaches
(i.e.,
artificial
intelligence
conversational
agents)
can
offer
scalable
and
cost-effective
solutions.
Additionally,
targeting
multiple
unhealthy
behaviors,
like
low
physical
activity
smoking,
simultaneously
seems
beneficial.
We
developed
Perfect
Fit,
an
mHealth
intervention
with
a
coach
providing
personalized
feedback
to
promote
smoking
cessation
activity.
Through
innovative
methods
(e.g.,
sensor
technology)
iterative
development
involving
end-users,
we
strive
overcome
challenges
encountered
by
interventions,
such
as
shortage
of
evidence-based
insufficient
personalization.
This
paper
outlines
the
content
Fit
protocol
evaluating
its
feasibility,
acceptability,
preliminary
effectiveness,
role
participant
characteristics,
study's
feasibility.
Methods
A
single-arm,
mixed-method,
real-world
evaluation
study
will
be
conducted
in
Netherlands.
aim
recruit
100
adult
daily
smokers
intending
quit
within
6
weeks.
The
last
approximately
16
Primary
outcomes
include
Fit's
feasibility
acceptability.
Secondary
are
effectiveness
measure
characteristics.
Quantitative
data
collected
through
questionnaires
administered
at
baseline,
post-intervention
2,
6,
12
months
post-intervention.
Qualitative
gathered
via
semi-structured
interviews
Data
analysis
involve
descriptive
analyses,
generalized
linear
mixed
models
(quantitative)
Framework
Approach
(qualitative),
integrating
quantitative
qualitative
during
interpretation.
Conclusions
provide
novel
insight
into
potential
change
strategy.
Findings
inform
further
help
identify
foster
Successful
prevent
diseases
public
health.
Journal of Multidisciplinary Healthcare,
Год журнала:
2024,
Номер
Volume 17, С. 2701 - 2728
Опубликована: Май 1, 2024
Abstract:
Cross-cultural
validation
of
self-reported
measurement
instruments
for
research
is
a
long
and
complex
process,
which
involves
specific
risks
bias
that
could
affect
the
process
results.
Furthermore,
it
requires
researchers
to
have
wide
range
technical
knowledge
about
translation,
adaptation
pre-test
aspects,
their
purposes
options,
different
psychometric
properties,
required
evidence
assessment
quantitative
data
processing
analysis
using
statistical
software.
This
article
aimed:
1)
identify
all
guidelines
recommendations
cross-cultural
adaptation,
within
healthcare
sciences;
2)
describe
methodological
approaches
established
in
these
conducting
validation;
3)
provide
practical
guideline
featuring
various
options
novice
involved
translating,
adapting,
validating
instruments.
Forty-two
on
or
were
obtained
from
"CINAHL
with
Full
Text"
(via
EBSCO)
"MEDLINE
Text".
A
content
was
conducted
similarities
differences
recommended.
Bases
differences,
we
proposed
an
eight-step
includes:
a)
forward
translation;
synthesis
translations;
back
4)
harmonization;
5)
pre-testing;
6)
field
testing;
7)
validation,
8)
properties.
It
because
provides
extensive
comprehensive
information
available
researchers.
first
literature
review
carried
out
sciences
regarding
recommended
by
existing
guidelines.
Keywords:
comparison,
decision-making,
design,
studies,
health
services
BMC Health Services Research,
Год журнала:
2025,
Номер
25(1)
Опубликована: Янв. 22, 2025
Uncertain
times
require
healthcare
entities
to
demonstrate
strong
leadership,
develop
digitalisation,
and
respond
change
in
a
creative
flexible
manner.
Based
on
emerging
new
institutional
theory,
we
developed
tested
model
of
how
digital
transformational
leadership
(DTL)
affects
intensity
(DI)
among
through
the
mediating
role
organisational
agility
(OA).
In
this
article,
also
examine
moderating
country
studied
relationship.
The
study
population
consisted
400
managers
primary
from
Poland
Netherlands.
Data
was
collected
using
questionnaire
method
with
seven-point
Likert
scale.
gathered
data
analysed
descriptive
statistics
structural
equation
modelling
(SEM).
analysis
performed
statistical
package
SPSS
Andrew
F.
Hayes
PROCESS
macro
AMOS
v.
29
(Predictive
Solution,
Poland).
results
(SEM)
revealed
that
DTL
directly
indirectly
DI,
OA
mediates
Moreover,
indirect
effect
is
moderated
by
country.
This
contributes
development
DI
offers
practical
insights
for
navigating
uncertainty
volatility
post-pandemic
market.
Ultimately,
work
provides
important
into
style
organizations
relation
transformation,
considering
system's
role.
Journal of Medical Internet Research,
Год журнала:
2024,
Номер
26, С. e50376 - e50376
Опубликована: Апрель 11, 2024
Many
health
care
systems
have
used
digital
technologies
to
support
delivery,
a
trend
amplified
by
the
COVID-19
pandemic.
"Digital
first"
may
exacerbate
inequalities
due
variations
in
eHealth
literacy.
The
relationship
between
literacy
and
web-based
urgent
service
use
is
unknown.
Journal of Medical Internet Research,
Год журнала:
2024,
Номер
26, С. e49227 - e49227
Опубликована: Май 10, 2024
Background
The
rise
of
digital
health
services,
especially
following
the
outbreak
COVID-19,
has
led
to
a
need
for
literacy
policies
that
respond
people’s
needs.
Spain
is
country
with
highly
developed
infrastructure,
but
there
are
currently
no
tools
available
measure
fully.
A
well-thought-through
questionnaire
strong
psychometric
properties
such
as
eHealth
Literacy
Questionnaire
(eHLQ)
important
assess
levels,
in
context
fast-growing
field
health.
Objective
This
study
aims
adapt
eHLQ
and
gather
evidence
its
quality
2
Spain’s
official
languages:
Spanish
Catalan.
Methods
systematic
cultural
adaptation
process
was
followed.
Data
from
Spanish-speaking
(n=400)
Catalan-speaking
people
were
collected.
Confirmatory
factor
analysis
used
confirm
previously
established
structure.
For
reliability,
Cronbach
α
categorical
ω
obtained
every
subscale.
Evidence
convergent
discriminant
validity
provided
through
correlation
total
score
Scale.
based
on
relations
other
variables
evaluated
by
examining
extreme
values
educational
level,
socioeconomic
use
technology
variables.
Results
Regarding
confirmatory
analysis,
7-factor
correlated
model
7
one-factor
models
had
adequate
goodness-of-fit
indexes
both
Moreover,
measurement
invariance
between
Catalan
versions.
Reliability
estimates
considered
all
scales
versions
>0.80.
evidence,
Scale
showed
moderate
(Spanish:
range
0.57-0.76
P<.001;
Catalan:
0.41-0.64
P<.001).
According
relationship
external
variables,
languages
could
discriminate
maximum
minimum
categories
level
education,
use.
Conclusions
appear
be
psychometrically
sound
questionnaires
assessing
literacy.
They
useful
Catalonia
researchers,
policy
makers,
service
managers
explore
needs,
skills,
competencies
provide
interesting
insights
into
their
interactions
engagement
regarding
own
experiences
growth
Spain.
Background
Remote
digital
health
studies
are
on
the
rise
and
promise
to
reduce
operational
inefficiencies
of
in-person
research.
However,
they
encounter
specific
challenges
in
maintaining
participation
(enrollment
retention)
due
their
exclusive
reliance
technology
across
all
study
phases.
Objective
The
goal
this
was
collect
experts’
opinions
how
facilitate
remote
studies.
Method
We
conducted
13
semi-structured
interviews
with
principal
investigators,
researchers,
software
developers
who
had
recent
experiences
Informed
by
Unified
Theory
Acceptance
Use
Technology
(UTAUT)
framework,
we
performed
a
thematic
analysis
mapped
various
approaches
successful
participation.
Results
Our
analyses
revealed
four
themes:
(1)
planning
increase
participation,
where
experts
suggest
that
should
be
planned
based
adequate
knowledge
what
motivates,
engages,
disengages
target
population;
(2)
participant
enrollment,
highlighting
enrollment
strategies
selected
carefully,
attached
support,
focused
inclusivity;
(3)
retention,
minimize
effort
complexity
tasks
ensure
is
adapted
responsive
needs,
(4)
requirements
for
development
relevant
guidelines
foster
future
Conclusions
findings
highlight
significant
seamless
researcher
involvement
enabling
high
Future
can
benefit
from
collected
inform
balances
scientific
requirements.
To
perform
the
first
psychometric
analysis
of
Norwegian
version
eHLQ
using
confirmative
factor
(CFA)
procedures
in
a
population
patients
admitted
to
hospital
cross-sectional
design.
The
consists
35
items
capturing
7-dimensional
eHealth
Literacy
Framework
(eHLF)
which
describes
users'
attributes,
user's
interaction
with
technologies
and
experience
digital
health
systems.The
7
independent
scales
was
translated
from
Danish
culturally
adapted
into
language
following
standardised
protocol.
Assessment
construct
validity
undertaken
data
survey
260
hospitalized
at
University
Hospital
Oslo
area
during
two-week
period
June
2021.
included
correlation
(Pearsons
R),
internal
consistency
(Cronbach's
alpha)
confirmatory
(CFA).All
loadings
were
high
acceptable
(i.e.
>
0.6),
except
for
five
had
somewhat
lower
loadings.
Regarding
consistency,
alpha
ranged
0.73
0.90.
For
optimal
CFA
fit
different
scale
models,
correlated
residuals
required
seven
scales.
Overall
our
shows
an
intermediate
orginal
construct.
Scale
intercorrelations
all
below
0.8,
indicating
overall
discriminant
between
dimensions.The
results
indicate
that
almost
scales,
model
achieved.
this
study
represented
variety
diagnoses,
recruited
geographically
limited
area.
Further
studies
on
properties
larger
samples,
diverse
settings
by
more
comprehensive
approaches
are
warranted.
Journal of Medical Internet Research,
Год журнала:
2024,
Номер
26, С. e57963 - e57963
Опубликована: Апрель 9, 2024
As
digital
health
services
are
increasingly
developing
and
becoming
more
interactive
in
Serbia,
a
comprehensive
instrument
for
measuring
eHealth
literacy
(EHL)
is
needed.
JMIR Formative Research,
Год журнала:
2024,
Номер
8, С. e51408 - e51408
Опубликована: Янв. 23, 2024
Background
The
potential
of
health
apps
for
promotion
and
disease
prevention
is
widely
recognized.
However,
uptake
limited
due
to
barriers
individuals
face
in
finding
suitable
trustworthy
apps,
such
as
the
overwhelming
amount
available
apps.
Therefore,
app
platform
“FitKnip”
was
developed,
enabling
purchase
preselected,
with
a
budget
100
euros
(a
currency
exchange
rate
EUR
€1=US
$1.0831
applicable).
aimed
empower
improve
their
vitality,
ultimately
supporting
more
healthy
society.
Objective
primary
aim
this
study
evaluate
terms
feasibility
acceptability.
Potential
effects
on
empowerment
outcomes
were
secondarily
explored.
Methods
This
quantitative
part
mixed
methods
prospective
pre-post
interventional
design.
We
collected
web-based
user
data,
self-reported
questionnaires
over
5
measurements
an
8-month
period.
Use
statistics
tracked
platform,
including
number
purchased
spent
per
registered
within
platform.
measured
user-friendliness
using
System
Usability
Scale
(SUS)
satisfaction
Client
Satisfaction
Questionnaire–8
(CSQ-8)
several
10-point
Likert
items.
asked
participants
indicate,
scale
from
1
(not
at
all)
10
(completely),
how
much
contributed
various
areas
related
empowerment.
assessed
health-related
quality
life
by
12-item
Short-Form
Health
Survey
(SF-12)
one’s
perceived
level
stress
10-item
Perceived
Stress
(PSS-10).
Results
A
total
1650
included,
whom
42%
(685/1650)
bought
least
app.
majority
those
one
(244/685,
35.6%).
rated
user-friendly
(SUS
mean
66.5,
SD
20.7;
range
66.5-70.0),
acceptability
moderate
(CSQ-8
20.0,
1.5;
19.6-20.0).
furthermore
showed
that
generally
satisfied
highly
ease
payment
system
(median
8,
IQR
7-10),
look
feel
7,
6-8),
well
provided
9,
7-10).
Participants
less
6,
4-7)
diversity
offered
Conclusions
promising
initiative
enhance
public
health.
Feasibility
are
critical
success,
they
ensure
accessible,
user-friendly,
meets
end
users’
needs
preferences.
can
help
increase
uptake,
engagement,
platform’s
adoption
effectiveness.
BACKGROUND
As
digital
health
services
are
increasingly
developing
and
becoming
more
interactive
in
Serbia,
a
comprehensive
instrument
for
measuring
eHealth
literacy
(EHL)
is
needed.
OBJECTIVE
This
study
aimed
to
translate,
culturally
adapt,
investigate
the
psychometric
properties
of
Serbian
version
Literacy
Questionnaire
(eHLQ);
evaluate
EHL
population
primary
care
(PHC)
users
Serbia;
explore
factors
associated
with
their
EHL.
METHODS
The
validation
was
conducted
8
PHC
centers
territory
Mačva
district
Western
Serbia.
A
stratified
sampling
method
used
obtain
representative
sample.
Translation
Integrity
Procedure
followed
adapt
questionnaire
language.
eHLQ
were
analyzed
through
examination
factorial
structure,
internal
consistency,
test-retest
reliability.
Descriptive
statistics
calculated
determine
participant
characteristics.
Differences
between
groups
tested
by
2-tailed
Students
<i>t</i>
test
ANOVA.
Univariable
multivariable
linear
regression
analyses
related
RESULTS
total
475
enrolled.
mean
age
51.0
(SD
17.3;
range
19-94)
years,
most
participants
female
(328/475,
69.1%).
Confirmatory
factor
analysis
validated
7-factor
structure
questionnaire.
Values
incremental
fit
index
(0.96)
comparative
(0.95)
above
cutoff
≥0.95.
root
square
error
approximation
value
0.05
below
suggested
≤0.06.
Cronbach
α
entire
scale
0.95,
indicating
excellent
reliability,
ranging
from
0.81
0.90
domains.
intraclass
correlation
coefficient
ranged
0.63
0.82,
moderate
good
highest
scores
obtained
<i>understanding
concepts
language</i>
(mean
2.86,
SD
0.32)
<i>feel
safe
control</i>
2.89,
0.33)
Statistically
significant
differences
(all
<i>P</i><.05)
all
7
observed
age,
education,
perceived
material
status,
searching
information
on
internet,
occupation
(except
domain
4).
In
models,
internet
being
aged
younger
than
65
years
higher
values
except
variable
age.
CONCLUSIONS
demonstrates
that
can
be
useful
tool
measurement
planning
interventions
at
individual
level
due
its
strong
context.