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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Tissue Vi...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Tissue Viability
Article . 1998 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Testing the Effectiveness of Patient Support Systems: The Importance of Indentor Geometry

Authors: Duncan Bain;

Testing the Effectiveness of Patient Support Systems: The Importance of Indentor Geometry

Abstract

subject 1 • • .4. All of the above studies confirmed one thing: measuring pressure between the body and an actual support is difficult. Difficulties in measuring interface pressure include its variability over a small area, particularly over bony prominences with high pressure gradients, and the difficulty of avoiding artefacts due to the presence of the sensor itself 5 . The movement of soft tissues (to which the sensors are attached) in relation to bony prominences is also difficult to control. Krouskop and Garber 6 showed that interface pressure measurements are not absolute or comparable between different instruments or investigators. They are often not sufficiently repeatable to indicate a statistically significant difference between surfaces clinically understood to be very different. Bader and Hawken 7 showed large variations in pressure measurements when the subject was reseated between pressure readings. Finally, since the soft tissues of the body and the materials of the mattress are both to some extent viscoelastic, it is difficult to isolate the time­ dependencies in such a test, and apportion them correctly to tissues and mattress. As yet there are only a small number of randomised controlled trials (RCT's) for the evaluation of support systems, and the results of these have been inconclusive 8 . The reason for this is largely one of population numbers. RCT's have only provided statistically reliable information in a few instances, perhaps where very big actual differences existed between support systems in the trial. One example was conducted by Allman et az9, who used an entire hospital population to show a difference in outcomes between conventional mattresses and air-fluidised therapy. Another was by Ferrel 10 who conducted a large study in a nursing home to demonstrate the superiority of the low-air-loss bed system over a standard mattress. A further problem with clinical trials is that of blinding: whatever care is taken in the random allocation of patients to different surfaces, it is obvious to staff, patients, and researchers which type of surface the patient is on. There is no guarantee that this knowledge will not affect the patient's care, and so the outcome.

Keywords

Pressure Ulcer, Bias, Compressive Strength, Materials Testing, Pressure, Humans, Reproducibility of Results, Beds, Hardness Tests

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Average
Top 10%
Top 10%
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