Active Bones, Joints & Muscles Materials & Manufacturing

Heriot-Watt University and D M Orthotics Limited KTP 24_25 R2

In plain English

AI plain-English summary

A compression burns garment that actually delivers the pressure it promises is currently a matter of guesswork—D M Orthotics wants to replace that guesswork with hard data. The problem is straightforward but consequential. Burns survivors often wear custom compression garments and orthoses to reduce scarring and manage swelling. But clinicians and manufacturers have no reliable way to prove that a given garment applies the intended pressure, or to design one that does. This gap means patients may receive suboptimal treatment, and companies cannot generate the clinical evidence needed to improve products or satisfy regulators. This project will develop two things: a method to generate robust clinical evidence for the efficacy of these garments, and a design tool that lets engineers specify a target pressure and produce a garment that hits it. If successful, the work could transform a niche but critical part of post-burn care—making compression therapy more predictable, more effective, and more evidence-based. It also gives a UK manufacturer a stronger basis for product claims, which matters for procurement by the NHS and other healthcare systems.

View original technical description
To develop a method that enables D M Orthotics to generate evidence for clinical efficacy for compression burns garments and orthoses. And to develop a tool that will facilitate the design of garments/orthoses that deliver a defined pressure.

View the original record at the funder ↗

Related Research

Grants with similar aims, by meaning.

De Montfort University and Edward C Buckwald Limited KTP 23_24 R2
Coventry University and Hidalgo Limited KTP 22_23 R1
Heriot Watt University and Story Contracting Limited KTP 21_22 R3
Manchester Metropolitan University and KYMIRA Limited KTP 21_22 R2
Manchester Metropolitan University and Swellaway Limited

Original classification

Knowledge Transfer Partnership

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.