Objectively measuring offloading adherence in the diabetic foot

Researchers at a US podiatric ambulatory research centre built and tested an accelerometer-based method to measure adherence with a removable cast walker and a contralateral shoe-lift. Thirty healthy adults wore the devices with sensors fitted to each device and to the thigh, did logged activities in the lab, then continued for 24 hours in the community with a diary. A custom algorithm classified whether the walker and shoe-lift were being worn during walking and standing. It was NIH funded.

The method worked. In the lab it detected steps and standing while the devices were worn with over 99 percent accuracy. In the 24-hour community phase, the algorithm’s adherence figures agreed almost perfectly with the patients’ own diaries, with an intraclass correlation above 0.96 and misclassification under 3 percent.

The important framing: this is a validation study in healthy volunteers, not a trial in people with active ulcers. It proves the measurement is accurate, not yet that it changes healing.

Nothing changes in your clinic on Monday. You cannot buy this and clip it to a patient yet. What it signals is where high-risk foot care is heading, and it is a direction worth understanding now.

Removable offloading fails for one boring reason: the device only works when it is on, and a lot of the time it is not. We have leaned on patient recall to gauge that, and recall is generous. A validated objective measure means future trials can finally separate “the offloading didn’t work” from “the offloading wasn’t worn,” and tools like this tend to migrate from research into device-side monitoring over a few years.

The clinic-ready takeaway is the principle, not the product: adherence is a measurable outcome, not a personality trait. Until objective monitoring reaches you, the practical move is to make adherence visible by other means, by reviewing wear, checking the device for honest signs of use, and treating non-wear as a problem to solve rather than a patient to blame.

We can now measure offloading adherence accurately. It is a research tool today, but it is the start of treating “did they wear it” as data rather than a guess.

https://pubmed.ncbi.nlm.nih.gov/42237058/