Journal of Medical Internet Research,
Journal Year:
2025,
Volume and Issue:
27, P. e67820 - e67820
Published: April 28, 2025
Background
Digital
health
tools
such
as
mobile
apps
and
patient
portals
continue
to
be
embedded
in
clinical
care
pathways
enhance
mental
delivery
achieve
the
quintuple
aim
of
improving
experience,
population
health,
team
well-being,
costs,
equity.
However,
a
key
issue
that
has
greatly
hindered
value
these
is
suboptimal
user
engagement
by
patients
families.
With
only
small
fraction
users
staying
engaged
over
time,
there
great
need
better
understand
factors
influence
with
digital
settings.
Objective
This
review
aims
identify
relevant
settings
using
sociotechnical
approach.
Methods
A
scoping
methodology
was
used
from
literature.
Five
academic
databases
(MEDLINE,
Embase,
CINAHL,
Web
Science,
PsycINFO)
were
searched
pertinent
articles
terms
related
engagement,
tools.
The
abstracts
screened
independently
2
reviewers,
data
extracted
standardized
extraction
form.
Articles
included
if
tool
had
at
least
1
patient-facing
component
clinician-facing
component,
one
objectives
article
examine
tool.
An
established
framework
developed
Sittig
Singh
inform
mapping
analysis
factors.
Results
database
search
identified
136
for
inclusion
analysis.
Of
articles,
84
(61.8%)
published
last
5
years,
47
(34.6%)
United
States,
23
(16.9%)
Kingdom.
regard
examining
majority
(95/136,
69.9%)
qualitative
approach
engagement.
From
26
across
7
categories
framework.
These
ranged
technology-focused
(eg,
modality
tool)
environment
alignment
workflows)
system-level
issues
reimbursement
physician
use
patients).
Conclusions
On
basis
this
review,
we
have
uncovered
how
tool,
individuals,
environment,
system
may
care.
Future
work
should
focus
on
validating
identifying
core
set
essential
environments.
Moreover,
exploring
strategies
through
would
useful
leaders
clinicians
interested
Journal of Medical Internet Research,
Journal Year:
2023,
Volume and Issue:
25, P. e40789 - e40789
Published: Feb. 24, 2023
Background
Artificial
intelligence
(AI)–based
chatbots
can
offer
personalized,
engaging,
and
on-demand
health
promotion
interventions.
Objective
The
aim
of
this
systematic
review
was
to
evaluate
the
feasibility,
efficacy,
intervention
characteristics
AI
for
promoting
behavior
change.
Methods
A
comprehensive
search
conducted
in
7
bibliographic
databases
(PubMed,
IEEE
Xplore,
ACM
Digital
Library,
PsycINFO,
Web
Science,
Embase,
JMIR
publications)
empirical
articles
published
from
1980
2022
that
evaluated
feasibility
or
efficacy
screening,
extraction,
analysis
identified
were
performed
by
following
PRISMA
(Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses)
guidelines.
Results
Of
15
included
studies,
several
demonstrated
high
healthy
lifestyles
(n=6,
40%),
smoking
cessation
(n=4,
27%),
treatment
medication
adherence
(n=2,
13%),
reduction
substance
misuse
(n=1,
7%).
However,
there
mixed
results
regarding
acceptability,
usability.
Selected
change
theories
expert
consultation
used
develop
strategies
chatbots,
including
goal
setting,
monitoring,
real-time
reinforcement
feedback,
support.
Real-time
user-chatbot
interaction
data,
such
as
user
preferences
behavioral
performance,
collected
on
chatbot
platform
identify
ways
providing
personalized
services.
potential
scalability
deployment
through
accessible
devices
platforms
(eg,
smartphones
Facebook
Messenger).
participants
also
reported
offered
a
nonjudgmental
space
communicating
sensitive
information.
need
be
interpreted
with
caution
because
moderate
risk
internal
validity,
insufficient
description
techniques,
limitation
generalizability.
Conclusions
have
interventions
among
large
diverse
populations;
however,
future
studies
adopt
robust
randomized
control
trials
establish
definitive
conclusions.
Journal of Medical Internet Research,
Journal Year:
2022,
Volume and Issue:
24(5), P. e35371 - e35371
Published: April 9, 2022
Mobile
health
(mHealth)
apps
show
vast
potential
in
supporting
patients
and
care
systems
with
the
increasing
prevalence
economic
costs
of
noncommunicable
diseases
(NCDs)
worldwide.
However,
despite
availability
evidence-based
mHealth
apps,
a
substantial
proportion
users
do
not
adhere
to
them
as
intended
may
consequently
receive
treatment.
Therefore,
understanding
factors
that
act
barriers
or
facilitators
adherence
is
fundamental
concern
preventing
intervention
dropouts
effectiveness
digital
interventions.
Current Treatment Options in Psychiatry,
Journal Year:
2023,
Volume and Issue:
10(3), P. 119 - 135
Published: Aug. 25, 2023
Digital
mental
health
interventions
(DMHIs)
are
an
effective
and
accessible
means
of
addressing
the
unprecedented
levels
illness
worldwide.
Currently,
however,
patient
engagement
with
DMHIs
in
real-world
settings
is
often
insufficient
to
see
clinical
benefit.
In
order
realize
potential
DMHIs,
there
a
need
better
understand
what
drives
engagement.
Annual Review of Clinical Psychology,
Journal Year:
2024,
Volume and Issue:
20(1), P. 21 - 47
Published: Feb. 5, 2024
To
build
a
coherent
knowledge
base
about
what
psychological
intervention
strategies
work,
develop
interventions
that
have
positive
societal
impact,
and
maintain
increase
this
impact
over
time,
it
is
necessary
to
replace
the
classical
treatment
package
research
paradigm.
The
multiphase
optimization
strategy
(MOST)
an
alternative
paradigm
integrates
ideas
from
behavioral
science,
engineering,
implementation
economics,
decision
science.
MOST
enables
of
strategically
balance
effectiveness,
affordability,
scalability,
efficiency.
In
review
we
provide
overview
MOST,
discuss
several
experimental
designs
can
be
used
in
optimization,
consider
how
investigator
use
results
select
components
for
inclusion
optimized
intervention,
application
list
future
issues
rapidly
evolving
field.
We
highlight
feasibility
adopting
new
as
well
its
potential
hasten
progress
Behaviour Research and Therapy,
Journal Year:
2023,
Volume and Issue:
170, P. 104421 - 104421
Published: Oct. 14, 2023
Randomized
controlled
trials
(RCT)
have
established
the
efficacy
of
mindfulness
apps
for
numerous
mental
health
and
behavioral
outcomes.
However,
studies
this
kind
are
characterized
by
significant
problems
with
attrition
engagement,
making
it
challenging
to
interpret
these
findings
also
realize
full
potential
app-based
solutions.
This
systematic
review
meta-analysis
aimed
examine
rates
from,
engagement
in,
in
70
RCTs
located
through
four
databases.
The
weighted
meta-analytic
rate
from
9258
participants
allocated
a
app
was
24.7%.
estimate
higher
(38.7%)
when
restricting
analyses
larger
(n
≥
100
per
condition)
specific
target
samples
(e.g.,
general
population
adults).
Studies
that
offered
monetary
compensation
required
in-person
enrolment
methods
were
associated
lowest
rates.
Attrition
conditions
relative
waitlists,
but
not
different
placebo
or
active
apps.
Although
data
inadequately
reported,
qualitative
synthesis
highlighted
clear
sustained
user
Findings
implications
powering,
designing
appraising
research
apps,
as
well
development
potentially
effective
retention
strategies
worthy
evaluation
future
work.
BMC Digital Health,
Journal Year:
2024,
Volume and Issue:
2(1)
Published: Aug. 7, 2024
Abstract
Background
While
many
digital
mental
health
interventions
(DMHIs)
have
been
shown
to
be
effective,
such
also
criticized
for
poor
engagement
and
retention
rates.
However,
several
questions
remain
about
how
users
engage
with
DMHIs,
define
engagement,
what
factors
might
help
improve
DMHI
engagement.
Main
abstract
In
this
narrative
review,
we
show
that
although
DMHIs
are
research
suggests
rates
quite
variable
across
studies
DMHIs.
some
instances,
high,
even
in
real-world
settings
where
there
is
evidence
of
a
subset
who
could
considered
‘superusers’.
We
then
review
on
the
barriers
facilitators
highlighting
qualitative
users’
perceptions
does
not
always
align
quantitative
assessing
relationships
between
these
barriers/facilitators
actual
introduce
potential
issues
conceptualizations
may
explain
mixed
findings,
including
inconsistent
definitions
assumptions
linear
outcomes.
Finally,
outline
suggesting
comparable
mobile
application
use
broadly
as
well
more
traditional
forms
care
(i.e.,
pharmacological,
psychotherapy).
Conclusions
order
increase
number
people
can
benefit
from
additional
necessary.
Importantly,
believe
it
critical
move
away
existing
misconceptions
make
three
recommendations
believe,
if
addressed,
likely
substantially
impact
DMHIs:
(1)
need
adopt
clearly
defined,
common
definition
,
(2)
importance
exploring
patterns
optimal
rather
than
taking
‘one
size
fits
all’
approach,
(3)
defining
success
within
based
outcomes
frequency
or
duration
user’s
DMHI.
JMIR Formative Research,
Journal Year:
2025,
Volume and Issue:
9, P. e67171 - e67171
Published: Jan. 28, 2025
Background
Parents
of
children
treated
for
cancer
may
experience
psychological
difficulties
including
depression,
anxiety,
and
posttraumatic
stress.
Digital
interventions,
such
as
internet-administered
cognitive
behavioral
therapy,
offer
an
accessible
flexible
means
to
support
parents.
However,
engagement
with
adherence
digital
interventions
remain
a
significant
challenge,
potentially
limiting
efficacy.
Understanding
factors
influencing
user
is
crucial
enhancing
the
acceptability,
feasibility,
efficacy
these
interventions.
We
developed
internet-administered,
guided,
low-intensity
therapy
(LICBT)–based
self-help
intervention
parents
cancer,
(EJDeR
[internetbaserad
självhjälp
för
föräldrar
till
barn
som
avslutat
en
behandling
mot
or
internet-based
who
have
completed
treatment]).
EJDeR
included
2
LICBT
techniques—behavioral
activation
worry
management.
Subsequently,
we
conducted
ENGAGE
feasibility
trial
was
found
be
acceptable
feasible.
rates
were
marginally
under
progression
criteria.
Objective
This
study
aimed
(1)
describe
examine
whether
(2)
sociodemographic
characteristics
differed
between
adherers
nonadherers,
(3)
depression
anxiety
scores
nonadherers
at
baseline,
(4)
(5)
fathers
mothers.
Methods
performed
secondary
analysis
data,
71
participants.
User
data
collected
through
log-data
tracking,
example,
communication
e-therapists,
homework
submissions,
log-ins,
minutes
working
EJDeR,
modules
completed.
Chi-square
tests
examined
differences
mothers
concerning
categorical
data.
Independent-samples
t
regarding
continuous
variables.
Results
Module
completion
higher
among
those
worked
their
first
module
versus
Of
20
opened
allocated,
30%
(n=6)
70%
(n=14)
No
in
found.
Nonadherers
allocated
had
significantly
level
symptoms
baseline
than
adherers.
other
Minutes
number
days
using
written
messages
sent
participants,
total
exercises
submitted
nonadherers.
There
no
Conclusions
Straightforward
techniques,
activation,
well-suited
delivery,
more
complex
management,
require
modifications
improve
engagement.
measured
behaviorally,
future
research
should
measure
emotional
components
Trial
Registration
ISRCTN
Registry
57233429;
https://doi.org/10.1186/ISRCTN57233429
Frontiers in Aging,
Journal Year:
2025,
Volume and Issue:
6
Published: Feb. 3, 2025
This
article
emphasizes
the
advantages
of
using
a
within-subject
experimental
design
to
assess
impact
salient
visual
cues
on
comprehension
and
acceptability
computerized
cognitive
training
(CCT)
instructions
among
older
adults.
The
study
would
involve
participants
aged
65
above,
who
will
engage
in
an
online
experiment
presenting
two
sets
for
serious
games:
one
with
without.
eliminates
need
random
assignment,
improves
internal
consistency,
enhances
statistical
power.
Participants
serve
as
their
own
controls,
providing
more
robust
comparison
how
affect
instruction
software
acceptance.
primary
objective
is
identify
indicators
CCT
games
evaluate
well
comprehend
instructions,
influencing
intention
use
software.
hypothesis
suggests
that
improve
foster
greater
acceptability.
By
focusing
this
method,
aims
enhance
engagement
adults
programs,
reducing
dropout
rates.
research
offers
valuable
insights
into
methodological
strengths
can
be
applied
future
studies
usability
acceptance
tools
without
impairments.
Journal of Medical Internet Research,
Journal Year:
2023,
Volume and Issue:
25, P. e46858 - e46858
Published: Oct. 18, 2023
Background
Caregiving
can
affect
people
of
all
ages
and
have
significant
negative
health
impacts
on
family
caregivers
themselves.
Research
has
shown
that
social
support
acts
as
a
buffer
against
many
impacts.
A
common
source
is
groups.
Although
traditionally,
these
groups
were
conducted
in
face-to-face
setting,
the
advent
internet,
media
applications,
smartphone
seen
online
(OSGs)
develop
space
where
seek
support.
The
number
OSGs
increased
exponentially,
but
there
no
clear
consensus
what
factors
or
characteristics
contribute
to
development
within
them
types
are
available
caregivers.
Objective
This
study
aimed
conduct
scoping
review
understanding
for
Methods
Following
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
Extension
Scoping
guidelines,
CINAHL,
PsychInfo,
Psych
Articles,
Social
Sciences,
Communication
Source,
Medline,
Web
Science
databases
searched
studies
(caregiver
focused,
adults
aged
18
years
older,
groups,
caring
living
person,
peer-reviewed
journal
publications
empirical
research).
In
total,
19
included
review.
research
questions
(1)
type
adult
caregivers,
(2)
communication
mediums
are,
(3)
psychosocial
other
make
successful
unsuccessful
participants.
Results
response
first
question,
we
found
majority
took
place
public
text-based
forums
illness
specific.
Where
demographics
reported,
participants
predominately
women,
White,
working
with
university-level
education.
There
variety
caregiving
relationships.
For
second
most
medium
was
communication,
use
emojis,
photos,
GIF
(Graphics
Interchange
Format)
files
part
exchanges.
Most
frequently,
asynchronous
degree
anonymity,
not
time-limited
by
frequency
contact
duration,
moderated
peer
professional
moderators
facilitators.
third
question
explored
overarching
categories
safe
engagement
group
management.
These
described
having
focus
similar
others
shared
lived
experiences
communicated
nonjudgmental
overseen
trained
Conclusions
several
key
considerations
be
general
recommendation
practitioners
give
importance
building
active
moderation
multifaceted
structures
meet
different
levels
caregiver
needs
ability
engage.
Internet Interventions,
Journal Year:
2024,
Volume and Issue:
36, P. 100735 - 100735
Published: March 11, 2024
Digital
tools
are
an
increasingly
important
component
of
healthcare,
but
their
potential
impact
is
commonly
limited
by
a
lack
user
engagement.
health
evaluations
engagement
often
restricted
to
system
usage
metrics,
which
cannot
capture
full
understanding
how
and
why
users
engage
with
intervention.
This
study
aimed
examine
theory-based,
multifaceted
measures
digital
interventions
different
components
(affective,
cognitive,
behavioural,
micro,
macro)
consider
areas
that
unclear
or
missing
in
measurement.
We
identified
compared
two
recently
developed
met
these
criteria
(the
Behaviour
Change
Intervention
Engagement
Scale
the
TWente
Ehealth
Technologies
Scale).
Despite
having
similar
theoretical
bases
being
relatively
strongly
correlated,
there
key
differences
scales
aim
discuss
implications
our
analysis
for
affective,
behavioural
can
be
conceptualised
whether
value
distinguishing
between
them.
conclude
recommendations
circumstances
each
scale
may
most
useful
future
measure
development
could
supplement
existing
scales.