D L Bader1, P R Worsley2, A Gefen3. 1. School of Health Sciences, University of Southampton, Southampton, UK. 2. School of Health Sciences, University of Southampton, Southampton, UK. Electronic address: P.R.Worsley@soton.ac.uk. 3. Department of Biomedical Engineering, Tel Aviv University, Israel.
Abstract
BACKGROUND: In recent years, it has become increasingly apparent that medical device-related pressure ulcers represent a significant burden to both patients and healthcare providers. Medical devices can cause damage in a variety of patients from neonates to community based adults. To date, devices have typically incorporated generic designs with stiff polymer materials, which impinge on vulnerable soft tissues. As a result, medical devices that interact with the skin and underlying soft tissues can cause significant deformations due to high interface pressures caused by strapping or body weight. METHODS: This review provides a detailed analysis of the latest bioengineering tools to assess device related skin and soft tissue damage and future perspectives on the prevention of these chronic wounds. This includes measurement at the device-skin interface, imaging deformed tissues, and the early detection of damage through biochemical and biophysical marker detection. In addition, we assess the potential of computational modelling to provide a means for device design optimisation and material selection. INTERPRETATION: Future collaboration between academics, industrialists and clinicians should provide the basis to improve medical device design and prevent the formation of these potentially life altering wounds. Ensuring clinicians report devices that cause pressure ulcers to regulatory agencies will provide the opportunity to identify and improve devices, which are not fit for purpose.
BACKGROUND: In recent years, it has become increasingly apparent that medical device-related pressure ulcers represent a significant burden to both patients and healthcare providers. Medical devices can cause damage in a variety of patients from neonates to community based adults. To date, devices have typically incorporated generic designs with stiff polymer materials, which impinge on vulnerable soft tissues. As a result, medical devices that interact with the skin and underlying soft tissues can cause significant deformations due to high interface pressures caused by strapping or body weight. METHODS: This review provides a detailed analysis of the latest bioengineering tools to assess device related skin and soft tissue damage and future perspectives on the prevention of these chronic wounds. This includes measurement at the device-skin interface, imaging deformed tissues, and the early detection of damage through biochemical and biophysical marker detection. In addition, we assess the potential of computational modelling to provide a means for device design optimisation and material selection. INTERPRETATION: Future collaboration between academics, industrialists and clinicians should provide the basis to improve medical device design and prevent the formation of these potentially life altering wounds. Ensuring clinicians report devices that cause pressure ulcers to regulatory agencies will provide the opportunity to identify and improve devices, which are not fit for purpose.
Authors: Jule Bessler; Gerdienke B Prange-Lasonder; Robert V Schulte; Leendert Schaake; Erik C Prinsen; Jaap H Buurke Journal: Front Robot AI Date: 2020-11-16
Authors: Jule Bessler; Gerdienke B Prange-Lasonder; Leendert Schaake; José F Saenz; Catherine Bidard; Irene Fassi; Marcello Valori; Aske Bach Lassen; Jaap H Buurke Journal: Front Robot AI Date: 2021-03-22
Authors: Marc A Masen; Aaron Chung; Joanna U Dawczyk; Zach Dunning; Lydia Edwards; Christopher Guyott; Thomas A G Hall; Rachel C Januszewski; Shaoli Jiang; Rikeen D Jobanputra; Kabelan J Karunaseelan; Nikolaos Kalogeropoulos; Maria R Lima; C Sebastian Mancero Castillo; Idris K Mohammed; Manoj Murali; Filip P Paszkiewicz; Magdalena Plotczyk; Catalin I Pruncu; Euan Rodgers; Felix Russell; Richard Silversides; Jennifer C Stoddart; Zhengchu Tan; David Uribe; Kian K Yap; Xue Zhou; Ravi Vaidyanathan Journal: PLoS One Date: 2020-09-24 Impact factor: 3.240