Dealing with uncertainty in healthcare performance assessment: a fuzzy network‐DEA approach with undesirable outputs
International Transactions in Operational Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 14, 2024
Abstract
Data
Envelopment
Analysis
(DEA)
is
currently
the
most
widely
used
nonparametric
method
for
assessing
system
performance.
However,
DEA
standard
approach
ignores
unit's
structure
and
assumes
that
data
are
exact
reliable.
In
healthcare,
these
assumptions
may
not
always
hold
true.
To
address
issues,
a
new
was
developed,
which
transformed
into
fuzzy
trapezoidal
numbers
network
framework.
The
study
conducted
using
from
Portuguese
public
hospitals,
including
18
variables
related
to
efficiency,
quality,
access.
were
then
applied
slack‐based
network‐DEA
model
could
handle
undesirable
outputs.
Due
significant
operational
environmental
differences
between
hospitals
in
Portugal,
subsampling
frontier
based
on
exogenous
used.
results
suggest
there
potential
improve
hospital
efficiency
Portugal
by
around
20%,
particularly
light
of
COVID‐19
pandemic.
Additionally,
variations
performance
observed
depending
size
hospital.
Language: Английский
Assessing efficiency maternal and child health services in Morocco: data envelopement analysis and Tobit model
Youssef Er-Rays,
No information about this author
Meriem M’dioud,
No information about this author
Hamid Ait-Lemqeddem
No information about this author
et al.
Quality & Quantity,
Journal Year:
2024,
Volume and Issue:
58(6), P. 5577 - 5619
Published: May 29, 2024
Language: Английский
Technical efficiency of public hospitals in east Africa: a systematic review and meta-analysis
BMC Health Services Research,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 6, 2025
Hospitals
usually
encounter
human,
capital,
and
financial
resource
constraints
which
alerts
the
efficient
use
of
allocated
resources
more
than
ever.
Health
system
managers
are
required
to
identify
inefficient
hospitals
drivers
inefficiencies.
Although
there
multiple
studies
examining
efficiency
public
in
East
Africa,
their
findings
often
variable
inconsistent.
Therefore,
this
study
aimed
review
published
articles
on
technical
African
countries.
A
systematic
search
was
employed
using
Pubmed,
Cochrane
library,
google
scholar
thirteen
were
included
review.
The
described
terms
publication
year,
sample
size,
inputs
outputs
used
analysis,
levels.
Finally,
we
assessed
quality
estimate
mean
meta-analysis.
score
varied
across
countries
east
Africa
ranged
from
0.64
±
0.34
Tanzania
0.99
0.03
Ethiopia.
0.82
(95%
CI
=
0.56,
1.07)
for
primary
0.88
0.82,
0.95)
secondary
level
hospitals.
Technical
negatively
correlated
with
number
(the
size)
positively
analysis.
This
revealed
that
requires
an
improvement.
To
enable
effective
hospital
management
improvement
efficiency,
health
policymakers
must
inefficiency.
Systematic
reviews
currently
rare
should
be
conducted
a
much
larger
scale
order
create
more,
validated
information
policy-making.
protocol
registered
approved
by
international
prospective
register
Protocol
ID:
CRD42023444729.
Language: Английский
Measurement of the operational efficiency of tertiary public hospitals in Western China: evidence from Guangxi from 2019 to 2022
Frontiers in Public Health,
Journal Year:
2025,
Volume and Issue:
13
Published: Feb. 21, 2025
The
continuous
increase
in
health
care
costs
and
the
growing
demand
for
services
among
residents
make
it
an
urgent
priority
to
improve
operational
efficiency
of
system
Chinese
society.
In
this
study,
data
on
tertiary
public
hospitals
Guangxi
were
analyzed
identify
issues
hospital
management
within
context
performance
assessment,
which
thereby
enhanced
social
service
capacity
hospitals.
A
comprehensive
evaluation
index
was
constructed
based
"national
monitoring
indicators"
efficiency.
indicators
using
envelopment
analysis
with
Banker,
Charnes
Cooper
(DEA-BCC)
Malmquist
models.
Tobit
regression
model
used
analyze
major
factors
affecting
Between
2019
2022,
pure
technical
(PTE)
61
remained
at
a
relatively
high
level.
results
showed
downward
trend.
progress
(TC)
indicator
became
main
factor
decline
revealed
that
plenty
exerted
significant
impact
operating
These
included
number
beds,
ratio
outpatient
inpatient
patients
relative
total
patient
numbers,
proportion
discharged
undergoing
surgery
patients,
business
expenditures
annual
revenue.
scale
is
prominently
unreasonable.
It
necessary
raise
resource
utilization.
operation
situation
not
optimistic.
Hospitals
should
accelerate
transformation
their
development
model,
rationally
allocate
medical
resources
shift
from
expansion
improvement
quality
Meanwhile,
they
actively
participate
establishing
hierarchical
treatment
system,
controlling
reasonably
increasing
personnel
expenses
Language: Английский
Health resource allocation within the close-knit medical consortium after the Luohu healthcare reform in China: efficiency, productivity, and influencing factors
Fangfang Gong,
No information about this author
Ying Zhou,
No information about this author
Junxia Luo
No information about this author
et al.
Frontiers in Public Health,
Journal Year:
2024,
Volume and Issue:
12
Published: Aug. 29, 2024
Objective
This
study
aims
to
assess
the
efficiency
and
productivity
of
Luohu
Hospital
Group
after
reform
identify
factors
influencing
support
future
development
medical
consortia.
Methods
Data
on
health
resources
from
Shenzhen
for
years
2015
2021
were
analyzed
using
super-efficiency
slack-based
measure
data
envelopment
analysis
(SE-SBM-DEA)
model,
Malmquist
index
(MPI),
Tobit
regression
evaluate
changes
in
determinants
post-reform.
Results
After
reform,
resource
allocation
within
improved
by
33.87%.
Community
centers
(CHCs)
group
had
an
average
score
1.046.
Moreover,
Group’s
total
factor
change
(TFPCH)
increased
2.5%,
primarily
due
gains
technical
(EFFCH),
which
offset
declines
progress
(TECHCH).
The
scores
CHCs
notably
affected
ratio
general
practitioners
(GPs)
technicians
availability
home
hospital
beds.
Conclusion
healthcare
system
has
shown
preliminary
success,
but
continuous
monitoring
is
necessary.
Future
strategies
should
focus
strengthening
technological
innovation,
training
GPs,
implementing
bed
policy.
These
efforts
will
optimize
integration
consortium.
Language: Английский
MEASURING HOSPITAL EFFICIENCY DURING COVID-19 PANDEMIC IN INDONESIA
Yani Anjani,
No information about this author
Resi Ariyasa Qadri,
No information about this author
Tetet Fitrijanti
No information about this author
et al.
JRAK,
Journal Year:
2024,
Volume and Issue:
16(1), P. 119 - 132
Published: April 18, 2024
By
addressing
indicators
of
inefficiency
at
the
initial
COVID-19
pandemic,
hospitals
can
immediately
respond
through
resources.
This
research
aims
assessing
efficiency
both
government
and
commercial
in
Indonesia
during
pandemic.
Accounting
data
was
collected
from
documentation
financial
statements.
The
analyzed
by
using
envelopment
analysis
technique
Tobit
regression.
showed
that
over
three
years
hospital's
rate
decreased
successively
100%,
86%,
76%.
However,
optimization
hospital
be
significantly
improved
revenue
factors,
specifically
quantifiable
quantity
income
generated.
highlighted
need
to
increase
ensure
provision
high-quality
services
general
population.
It
is
hoped
this
will
shed
light
on
challenges
faced
these
difficult
times
provide
insights
for
future
improvements.
Language: Английский
Evaluating the Effectiveness of Maternal, Neonatal, and Child Healthcare in Moroccan Hospitals and SDG 3: Using Two-Stage Data Envelopment Analysis and Tobit Regression
Youssef Er-Rays,
No information about this author
Meriem M’dioud
No information about this author
Evaluation Review,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 20, 2024
Maternal,
neonatal,
and
child
health
play
crucial
roles
in
achieving
the
objectives
of
Sustainable
Development
Goal
(SDG)
2030,
particularly
promoting
wellbeing.
However,
maternal,
services
Moroccan
public
hospitals
face
challenges,
concerning
mortality
rates
inefficient
resource
allocation,
which
hinder
optimal
outcomes.
This
study
aimed
to
evaluate
operational
effectiveness
76
neonatal
networks
(MNCSN)
within
hospitals.
Using
Data
Envelopment
Analysis
(DEA),
we
assessed
technical
efficiency
(TE)
employing
both
Variable
Returns
Scale
for
inputs
(VRS-I)
outputs
(VRS-O)
orientation.
Additionally,
Tobit
method
(TM)
was
utilized
explore
factors
influencing
inefficiency,
with
hospital,
doctor,
paramedical
staff
considered
as
inputs,
admissions,
cesarean
interventions,
functional
capacity,
hospitalization
days
outputs.
Our
findings
revealed
that
VRS-I
exhibited
a
higher
average
TE
score
0.76
compared
VRS-O
(0.23).
Notably,
Casablanca-Anfa
MNCSN
received
highest
referrals
(30)
under
VRS-I,
followed
by
Khemisset
(24).
In
contrast,
VRS-O,
Ben
Msick,
Rabat,
Mediouna
each
had
three
peers,
71,
22,
17
references,
respectively.
Moreover,
Malmquist
Index
indicated
7.7%
increase
productivity
over
9-year
period,
while
decreased
8.7%.
Furthermore,
doctors
bed
capacity
model
0.01,
sections.
underscores
imperative
policymakers
strategically
prioritize
input
enhance
ensure
healthcare
Language: Английский
Benchmarking the medication efficiency and technological progress of diabetes drugs
Frontiers in Public Health,
Journal Year:
2024,
Volume and Issue:
12
Published: Nov. 8, 2024
Diabetes
poses
a
serious
global
challenge,
given
its
increasing
prevalence,
detrimental
effects
on
public
health,
and
substantial
economic
burden.
Since
1950s,
tens
of
drugs
have
been
approved
by
the
United
States
(US)
Food
Drug
Administration
(FDA).
In
past
decade,
medical
community
regulatory
agencies
moved
away
from
glucose-centric
paradigm
increasingly
call
for
holistic
approach
to
assess
different
treatments'
benefits
harms.
Language: Английский