Introduction Phantom limb pain (PLP) is a chronic condition that can greatly diminish quality of life. Control over the phantom limb and exercise of such control have been hypothesised to reverse maladaptive brain changes correlated to PLP. Preliminary investigations have shown that decoding motor volition using myoelectric pattern recognition, while providing real-time feedback via virtual and augmented reality (VR-AR), facilitates phantom motor execution (PME) and reduces PLP. Here we present the study protocol for an international (seven countries), multicentre (nine clinics), double-blind, randomised controlled clinical trial to assess the effectiveness of PME in alleviating PLP.
Methods and analysis Sixty-seven subjects suffering from PLP in upper or lower limbs are randomly assigned to PME or phantom motor imagery (PMI) interventions. Subjects allocated to either treatment receive 15 interventions and are exposed to the same VR-AR environments using the same device. The only difference between interventions is whether phantom movements are actually performed (PME) or just imagined (PMI). Complete evaluations are conducted at baseline and at intervention completion, as well as 1, 3 and 6 months later using an intention-to-treat (ITT) approach. Changes in PLP measured using the Pain Rating Index between the first and last session are the primary measure of efficacy. Secondary outcomes include: frequency, duration, quality of pain, intrusion of pain in activities of daily living and sleep, disability associated to pain, pain self-efficacy, frequency of depressed mood, presence of catastrophising thinking, health-related quality of life and clinically significant change as patient’s own impression. Follow-up interviews are conducted up to 6 months after the treatment.
Ethics and dissemination The study is performed in agreement with the Declaration of Helsinki and under approval by the governing ethical committees of each participating clinic. The results will be published according to the Consolidated Standards of Reporting Trials guidelines in a peer-reviewed journal.
Trial registration number NCT03112928; Pre-results.
- neurological pain
- clinical trials
- rehabilitation medicine
This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Statistics from Altmetric.com
Contributors MO-C conceived the phantom motor execution treatment. MO-C and EL reviewed the literature and designed the study. All authors provided feedback on the design of the trial. BEM and MP assisted in the selection of psychological measure. LB-K and KK-O coordinated the ethical applications. EL and MO-C drafted the manuscript. All authors revised the study protocol and approved the final manuscript. MO-C is the coordinating investigator of the study and endpoint adjudication evaluator. EL is the monitor of the trial, independent from the sponsor, and responsible for data management. Each site is constituted by at least a principal investigator, a therapist and a blinded evaluator. Investigational sites are independent from each other and from the sponsor.
Funding This study was funded by the Promobilia foundation (F16501), VINNOVA (Medtech4Health 2016-02290), EFIC Grünenthal Grant (358041552) and Integrum AB (sponsor). The sponsor (Integrum AB) provided the devices and materials used in this study.
Disclaimer Neither the sponsor nor the funders (Promobilia, VINNOVA, EGG) had a role in the design of the present protocol.
Competing interests The sponsor of this study (Integrum AB) is a for-profit organisation that might commercialise the device used in this study (phantom motor execution and phantom motor imagery). MO-C was partially funded by Integrum AB. The core technology used in this study has been made freely available as open source by MO-C (machine learning, virtual reality and electronics).
Patient consent Not required.
Ethics approval Regionala Etikprövningsnämnden i Göteborg.
Provenance and peer review Not commissioned; externally peer reviewed.
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.