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DRAFT GUIDELINES FOR THE LABORATORY
EVALUATION OF
PRESSURE-REDISTRIBUTING SUPPORT SURFACES
Over the past two years various members of the European
Pressure Ulcer Advisory Panel have been working upon a draft guideline
for the laboratory evaluation of pressure-redistributing support surfaces.
The following document is the product of that endeavour - however, it
must be borne in mind that this does not represent the 'finished' guideline
- merely another step towards that eventual document. Please feel free
to comment upon this draft, sending all submissions to the Working Group
co-ordinator, Dr Alastair McLeod, at: alastair.mcleod@huntleigh-healthcare.com
I feel confident that all members of the Working Group
would like to extend their thanks to Alastair for his commitment to this
project.
Michael Clark
Introduction
Purpose
This document is a collection of recommendations compiled
from several meetings of interested parties facilitated by the EPUAP (see
appendix 1). All were motivated by a common recognition that methodological
and technical differences in the interface pressure (IP) measurement protocols
used in published laboratory studies on support surfaces makes comparisons
virtually impossible. Given the rising number of pressure redistributing
(PR) products appearing on the market, there is much sense in future studies
adopting a similar protocol and a common reported data set. Whilst this
will not completely remove the problem of incomparability, it is an initial
step towards a standardised approach which it is hoped will eventually
be established.
Scope
Given the large number of possible purposes there are
for conducting interface pressure measurements, it was necessary to limit
the initial scope of these recommendations to the following:
- Studies where the primary objective is to establish
differences in the pressure redistributing properties of support surfaces
relative to a 'standard' surface
- Surfaces whose design intent is NOT to vary the interface
pressure cyclically over time (e.g., foam mattresses, static air mattresses,
NOT alternating or pulsating surfaces)
Limitations
A key limitation to the recommendations contained herein
is that no link is established between the IP analysis outcome and likely
patient outcomes. Nor is there any data presented which suggests how products
may be allocated to different patients for pressure ulcer (PU) prevention
or healing purposes based on IP performance. Such relationships can only
be established with suitably powered randomised controlled clinical trials.
However, if clinically significant differences between PR surfaces are
measured in such trials, then adopting these guidelines for subsequent
comparative IP testing will allow other surfaces to be compared to those
used in such research. This will allow more rapid assessment of new products
as they are introduced.
Additionally, implicit in this logic is the fundamental
assumption that the primary effect of PR surfaces lies in their ability
to modify soft tissue compression patterns in a positive way. Other effects,
such as skin micro-climate control and frictional and shearing forces
are not quantified in these guidelines.
Glossary
Interface Pressure Perpendicular force exerted
by a segment of skin on a support surface divided by the skin contact
area (abbrev = IP)
Pressure Redistribution The beneficial modification of pressure
patterns on human soft tissues to reduce pressure ulcer risk (abbrev =
PR)
IP sensor A device placed between the skin and a support surface
whose output is calibrated to represent the perpendicular pressure exerted
over the sensor area
Repeatability The variation in pressure measured by a sensor when
an identical calibrated, constant pressure is applied and removed several
times
Reproducibility The variation in analysis outcomes when a calculation
is performed on pressure data derived from a test subject who has repositioned
several times
Accuracy The closeness of an IP sensor output to a known applied
pressure
Resolution A representation of the smallest area over which each
sensor is measuring interface pressure. In this context , 'high resolution'
means more sensors per square centimetre
Hysteresis The difference in sensor output measured when the same
force is applied gradually from a low and a high starting point
Creep A slow variation in subject position or sensor output over
time
RCT Randomised Controlled Trial
Scan The acquisition of pressure data from an array of electronic
IP sensors
Methodology
Choice of test body
Most published work has hitherto employed human subjects
for IP measurements. Whilst this is intuitively appealing, there are significant
reasons why this approach limits the comparability of IP measurements,
including:
- Experimental repeatability will be poor, because joint
angles and tissue properties will vary over time, thus introducing higher
variations in pressure readings
- Unless physically identical subjects are used by all
researchers in this field, and cross-comparisons are conducted to measure
actual differences in subjects, it is not known how comparable any product
rankings will be using different human subjects in different test locations
- The use of human subjects does not dispose the measurement
process to a standardised approach that is eventually desired
It was recognised that for the purposes of exploring the
effect of IP on soft tissue blood flow, the use of human subjects,
and the use of sensors other than IP remains essential. However, for the
limited purposes of comparative ranking of support surface PR quality,
it is recommended that a human-like mannequin is employed. This follows
a similar approach adopted by ISO committee TC173/SC1/WG11, who recommended
the construction of a standard buttock mannequin to conduct IP testing
of wheelchair cushions.
Test Mannequins
The functional specification for a test mannequin still
requires definition. Ideally, these should be constructed to mimic important
degrees of freedom found in humans, but should also minimise potential
errors deriving from unplanned movements such as sagging or creep. Whilst
not exhaustive, essential elements are thought to include:
- Full body mannequin rather than partial mannequin
- Representative of typical height and weight of patients
using PR surfaces, with weight distributed in correct anthropomorphic
proportions. Ideally, a spectrum of weights and heights should be tested,
with both male and female skeletal forms
- Jointed at knees, hips, shoulders and neck. Type and
design of joint (planar or rotational) should be sufficient only to
allow mannequin to contour with typical profiled hospital bed. High
degrees of freedom in joints may reduce experimental repeatability.
- Surface of mannequin to represent 3D shape of bony
prominences and soft tissue coverage found in typical patient group.
There is still debate over whether a coverage of artificial soft tissue
is necessary in a mannequin. The only way to resolve this is to construct
mannequins with and without artificial soft tissue and compare differences
in measurements between 'standard' surfaces and 'good' (ideally via
RCT study) surfaces. If the addition of artificial soft tissue increases
measurement sensitivity, and brings results significantly closer to
those measured on humans, then this should be adopted as a standard
requirement
If different test mannequins are developed as a result
of ongoing work in different research centres, then it is essential that
cross-calibration data is generated and published to ensure future comparability
of results. Such data could be derived using an internationally agreed
specification of basic foam mattress.
There is also some debate over the usefulness or necessity
of heating a mannequin, to achieve skin temperatures at the pressure interface.
Some mattresses claim to change their PR properties
Experimental design
It is recommended that, as a minimum, the test protocol
should incorporate the following elements:
- Sensor calibration using reference pressures plus
zero. In absence of recommendations from sensor manufacturers, daily
calibration is suggested. Sensors must demonstrate a sufficient level
of accuracy etc. before any tests are undertaken - see the 'Instrumentation'
section later
- The PR support surfaces, including a 'standard' surface,
should be tested with the mannequin in at least three positions
- Sensor arrays should either be attached to, embedded
in or cover the following areas:
i) Heel(s)
ii) Ischial tuberosity (ies)
iii) Greater Trochanter(s)
iv) Sacrum (Centred 1cm above natal cleft)
v) Occiput (posterior)
The minimum requirements for sensors are discussed in
the next section.
- At least 3 scans should be taken in each position
and averaged, and the mannequin should be repositioned at least 6 times
in each of the above postures. This is to ensure the maximum pressures
are captured and will supply data for reproducibility calculations.
- Either all mattresses use a standard cover provided
by the manufacturer, or all are tested using a standard hospital cotton
sheet draped loosely over the surface. If a product is sold with a special
cover as standard, then this should NOT be removed from the product
during any of the tests.
- Test environment temperature should be controlled
to ±2°C to avoid thermal drift problems with sensors. The
test room temperature should be as close as possible to the temperature
during calibration.
Instrumentation
Accuracy and Calibration
Accuracy is important if absolute pressures are to be
reported. However, it is recommended later in this guideline that only
relative results are issued. Thus, provided the accuracy remains consistent
throughout testing, then it is probably not necessary to specify this
property. It is necessary for the sensor to be able to resolve sufficiently
small areas to assess local pressures - this is discussed in the next
section.
The system should be calibrated using positive air pressure
or weights of known area whose accuracy is traceable to a nationally recognised
standard.
Resolution
The sensor matrix must be able to detect changes in IP
over small distances - e.g., heels. It is proposed that the technique
cited in TC173/SC1/WG11 is adopted here. Thus, a mannequin of known mass
is effectively 'weighed' by the sensor on a standard surface (sum of all
IP's multiplied by total sensed area = weight on area). If, when three
such 'weighings' have been performed and averaged, the error is greater
than 10% of test weight, then the sensor in question is unlikely to be
adequate for test purposes.
Repeatability/Reproducibility
The repeatability of an IP measurement system should be
such that, when results are analysed, significant differences between
the PR properties of surfaces are not swamped by larger levels of uncertainty
caused by instrumentation error. For example, if it is judged that 5 mmHg
represents a significant change in pressure in the range 0-40 mmHg, but
the measuring instrument or experimental method has a repeatability /
reproducibility of ±5 mmHg, then we cannot be certain that a 5
mmHg difference is truly significant. It is recommended that the coefficient
of variation (SD/MEAN) of a set (minimum 10) of repeated 'weighings' as
described previously is less than or equal to 10%.
Data Analysis
Analysis Techniques
There was much discussion on which is the most appropriate
or meaningful set analyses to perform. In common with the choice of mannequin,
this can only be ascertained via correlation of differences in calculated
parameters with outcomes of RCT's using identical products. Since it is
comparatively simple for a computer to perform mathematical operations
on a sequence of scanned pressure data sets, it is proposed that all the
methods listed below are used and tabulated in a final report. A consistent
performance by a product across many analysis methods should result in
a higher ranking. However, techniques which result in high variation (e.g.,
peak pressure on heels) may need to be excluded from final ranking calculations.
To estimate this, the Coefficient of variation of each analysis technique
should be calculated from the six repeats performed. As in previous cases,
CV > 10% may indicate poor repeatability. (See Table 1)
Table 1: Analysis Techniques
| Technique Name |
Description |
Formula |
| Maximum Pressure |
Maximum IP Anywhere (mmHg) |
MAX (all data) |
| Mean Pressure |
Arithmetical Mean (mmHg) |
AVERAGE (all sensors in contact) |
| 95% Confidence Interval |
Range of Mean (mmHg) |
95% CI (MEAN) |
| Spread |
Coefficient of Variation (%) |
STANDARD DEVIATION (all sensors in contact)/AVERAGE
(same) |
| Pressure Area Index (PAI) |
% of all sensors in contact with skin
that register < 40 mmHg (other thresholds such as 30 and 20 also
used) |
(#sensors in contact and < 30 mmHg)
/ (#sensors in contact) |
| Band Width Index (BWI) |
% of all sensors in contact with skin
that register < mean IP |
(#sensors in contact and < mean IP)
/ (#sensors in contact) |
| Half Width Index (HWI) |
% of all sensors in contact with skin
that register < 1/2 of peak IP |
(#sensors in contact and < 1/2 peak
IP) / (#sensors in contact) |
| Contact Area |
% of sensors in contact with skin |
(#sensors in contact) / (#sensors) |
Statistical Considerations
Given the small sample size of scans per position, the
opportunity for statistical analysis is limited. Differences between paired
data sets for different products in different positions can be tested
for significance using non-parametric tests such as Mann-Whitney (if data
looks skewed) or Students t-test (if data reasonably well behaved). Significance
should be set at the 5% level. When processing the data, differences in
calculated parameters between different products and the standard mattress
should be used. Thus, two questions are answered per test product:
- How different is it from the standard mattress (in
each position)?
- How different is it from the other test products (in
each position)?
Data Presentation
As a minimum, the following information should be divulged:
- Sensor array description, including: number of sensors,
physical dimensions, calibration method & frequency of calibration.
- Description of mannequin, including mass, joint numbers
and types, and any areas of compliant material.
- Results of 'weighing' test, with statement of error
and repeatability.
- Description of 'standard' mattress, ideally uniform
foam design of 4'-6' (100-150mm) height. Inclusion of density and hardness
data also useful, with description of cover type
- Description of test products, with modes of operation
and set up used during tests (if powered surface) together with any
adjustments made to products between test positions.
- Statement of number of scan repeats per position,
along with indication of statistical methods used to compare results
- Table of analysis results for each mannequin position,
showing either absolute results of all products tested including the
standard mattress, or results relative to the standard (except 95% CI)
- Statistical analysis of (7), both comparing all test
products to the standard mattress and between test products for each
position
Further Research
Key issues in this guideline that require further investigation
include:
- Development and specification of minimum complexity
mannequin needed to conduct tests. The core question is: 'what specification
of mannequin is required to achieve the same relative product rankings
that would be established using a large pool of human subjects?' If,
as is likely, different mannequins will be used in different parts of
the world, will these differences result in different rankings when
used to assess identical test products?
- Verification of the '10% rule' for acceptance of accuracy
and repeatability of pressure sensing arrays. For a given mannequin
design, the core question is: 'what range of sensor accuracy and repeatability
does not affect the ultimate ranking of identical test products?'
- Whilst the majority view was that pressure sensing
arrays provided larger volumes of useful data than single or small groups
of sensors, current technology still has limited resolution. This has
implications on their ability to assess accurately the pressure distribution
around areas like heels and elbows. It may therefore be necessary to
use a different sensing approach in these areas to provide accurate
data.
- Further research is needed to establish how much of
this guideline can be applied to moving surfaces - i.e., alternating
and pulsating designs. There was broad agreement that large sensor arrays
are unsuitable for these surfaces because of the degree of hammocking
imposed over deflated cells. In addition, analysis methods would require
some form of time integration to assess the effect of cyclically varying
interface pressures.
Appendix
1. Contributors
| Name |
Organization |
E-mail address |
| Alastair McLeod |
Huntleigh Healthcare Ltd, UK |
alastair.mcleod@huntleigh-
healthcare.com |
| J Rochet |
Coubers, France |
|
| Alain Ravet |
LNE Laboratoire, France |
|
| Herve Seigneur |
HNE Medical, France |
|
| J Saumet |
C.H.U. D'Angers, France |
|
| Patrick Colombe |
HNE Medical, France |
|
| P Couturier |
C.H.U Hopital Nord 'Albert Michalon',
France |
|
| Denis Colin |
Centre de l'Arche, France |
denis.colin2@wanadoo.fr |
| Max Rogmans |
Vicair, Holland |
m.rogmans@vicair.com |
| Jelle Gerritse |
TNO, Holland |
jc.gerritse@pg.tno.nl |
| Ronald Boumans |
TNO, Holland |
RT.boumans@pg.tno.nl |
| Joke Grady |
Roessingh Research and Development |
j.grady@rrd.nl |
| Ian Swain |
Salisbury Hospital, UK |
I.Swain@mpbe-sdh.demon.co.uk |
| F Guyon |
Hopital Raymond Poincare, France |
|
| Carlijn Bouten |
Eindhoven University of Eindhoven Technology,
Holland |
carlijn@wfw.wtb.tue.nl |
| Richard Barnett |
Hill-Rom Inc, USA |
richard.barnett@gte.net |
| Eric Binder |
TUV BASIS, Munich, Germany |
ebinder@tuvps.com |
| Hans-Ullrich Volker |
BWK, Ulm, Germany |
huvoelker@gmx.de |
| Duncan Bain |
Royal National Orthopaedic Hospital,
UK |
frankiehowerd@netscape.net |
| Martin Ferguson-Pell |
Royal National Orthopaedic Hospital,
UK |
cdriucl@aol.com
|
| Syham Rithalia |
University of Salford, UK |
S.Rithalia@salford.ac.uk |
| Chris Borsten |
KCI Medical, Holland |
cborsten@kci-medical.com |
| Michael Clark |
University of Wales |
clark_michael@msn.com |
| Dan Bader |
QMC, London UK |
d.l.bader@qmw.ac.uk |
| Juergen Hannig |
Hill-Rom, Holland |
juergen.hannig@hill-rom.com |
| Jan Hermkens |
Vista Medical Europe BV, Holland |
jan.hermkens@wxs.nl |
| Jan Weststrate |
Rotterdam, Holland |
weststrate@aziv.azr.nl |
| Linda Russell |
Queens Hospital, UK |
linda.russell@queens.burtonh-tr.wmids.nhs.uk |
| Bruno Wolff |
Danish Centre for Technical Aids for
Rehabilitation, Denmark |
b.wolff@hmi.dk |
2. References
EPUAP WG1 is currently conducting a literature survey
of all references relating to laboratory assessment of support surfaces.
When all comments have been received regarding this guideline and a final
draft agreed, a subset of WG1 references relating to interface pressure
will be added here. All queries or suggestions for WG1 should be addressed
to the chairman, Dr Michael Clark, at the email address given above. Some
of these references have already been published in previous editions of
EPUAP Review, available to all EPUAP members.
3. Comments
Your comments on this document are welcome. Please submit
these via email only to the working group chairman, Alastair McLeod, at
the following address:
alastair.mcleod@huntleigh-healthcare.com
Thank you for spending time reading this guideline, and
I look forward to a lively exchange of ideas as we refine the wording.
Alastair McLeod
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