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Abstract

Hospital
Acquired
Infections
(HAIs)
are
a
leading
cause
of
death
worldwide.
In
the
United
States,
the
death
toll
from
HAIs
exceeds
that
of
AIDS,
breast
cancer,
and
motor
vehicle
accidents
combined,
totalling
nearly
100,000
deaths
annually.
The
correct
application
of
aseptic
technique
by
healthcare
professionals
is
critical
to
the
reduction
of
HAIs.
However,
the
intricacies
of
maintaining
a
sterile
field
can
be
difficult
for
students
to
grasp
due
to
the
invisible
nature
of
pathogens.
Traditional
teaching
methods
provide
limited
opportunity
for
students
to
receive
feedback
on
their
technique
from
qualified
staff.
Clinical
settings
also
afford
minimal
feedback
due
to
the
delay
between
breaches
of
asepsis
and
occurrence
of
infection.
This
research
presents
a
novel
approach
to
aseptic
technique
training
that
utilises
Augmented
Reality
(AR)
technology
to
simulate
a
sterile
environment.
A
prototype
system,
ARSterileSim,
was
developed
based
on
the
findings
of
a
pre-liminary
exploratory
study.
ARSterileSim
tracks
the
movements
of
a
user
as
they
attempt
a
basic
wound
dressing
procedure,
providing
feedback
via
colour-­‐coding
on
a
virtual
mirror
and
auditory
cues.
The
system
makes
the
invisible
visible,
alerting
the
user
when
contamination
occurs
thereby
completing
the
feedback
loop.
Face
and
content
validity
of
the
ARSterileSim
prototype
was
assessed
via
a
mixed
methods
triangulation
study
involving
interviews
with
ten
experts
in
aseptic
technique
training,
from
both
academic
and
clinical
backgrounds.
Results
indicate
that
while
the
prototype’s
markers
and
tracking
accuracy
require
improvement,
the
approach
in
general
has
face
validity.
The
findings
also
provide
evidence
of
content
validity
within
the
defined
scope
of
the
proto-­type,
which
excluded
hand
tracking.
Participants
placed
particular
value
on
the
visual
and
auditory
real-­time
feedback,
as
well
as
the
fact
that
learning
takes
place
in
a
tangible
context,
enabling
strong
transfer
of
learning
to
clinical
practice.
Further
work
in
this
area
is
therefore
recommended.

Item Type:	Thesis - Research Master
Authors/Creators:	Grayston, TI
Keywords:	Simulation, augmented reality, aseptic technique, hospital acquires infections, nosocomical infection, anti-microbial resistance
Copyright Holders:	Copyright the Author
Copyright Information:	Copyright 2014 the Author
Item Statistics:	View statistics for this item

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