Creating adjusted scores targeting mobility empowerment (CASTLE 2): Using response probabilities to expand interpretation of prosthetic limb users survey of mobility (PLUS-M) scores for individuals with lower limb amputation.
Bretta L Fylstra, Brian J Hafner, Sophia Saenz and 1 others
PMID 41487097WHAT IT FOUND
PLUS-M mobility maps can predict likely answers to mobility questions for people with lower limb amputation.
Clinicians can compare predicted and actual answers to spot items where the patient is below the predicted answer and target rehabilitation.
Key findings
01Predicted PLUS-M item responses matched actual responses within one answer option for more than 91.5% of predictions on average.
02Mean PLUS-M T-scores were highest for patients with below-knee amputation due to trauma and lowest for patients with above-knee amputation due to diabetes/dysvascular disease.
03Items where a patient's actual response is below the predicted response can be flagged for clinical discussion.
STILL TO COME
How it was doneWhat they foundWhat it means for PTs
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What it does not show
This was a database review of routine care responses, not a treatment study, so it does not show that using the maps improves patient outcomes. The maps cover only below-knee and above-knee amputation due to trauma or diabetes/dysvascular disease, not other amputation levels or causes. The PLUS-M 12-item short form showed possible ceiling effects in below-knee trauma and floor effects in above-knee diabetes/dysvascular disease, with 9.6% of responses at the maximum T-score of 71.4 and 8.8% at the minimum T-score of 21.8. The frequency-response method can make adjacent T-scores predict different answers when two response options were nearly equally common in the training data. Participants were from private prosthetic clinics in the United States, so the maps may not apply to other settings.
Declared interests
The supplied text does not state a funding source. Dr Hafner reports consulting fees for projects unrelated to this work from Liberating Technologies and Apple, and honoraria for presenting at an unrelated online symposium. The other authors have nothing to disclose.
The easy way to misread this
Do not read the maps as proof that using them improves mobility. The study showed that predicted PLUS-M answers matched actual answers well in a large database; it did not test a rehabilitation intervention or measure patient outcomes.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →