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Home-based virtual reality for chronic pain: protocol for an NIH-supported randomised-controlled trial

Authors :
Xiaoyu Liu
Karma McKelvey
Mariko Ishimori
Tom Norris
Brennan Spiegel
Kyung-Sang Yu
Brandon Birckhead
Sam Eberlein
Genie Alvarez
Rebecca Gale
Taylor Dupuy
Katherine Makaroff
Garth Fuller
J T Black
Swamy Venuturupalli
Joseph Tu
Mourad Tighiouart
Lindsey Ross
Mark Vrahas
Itai Danovitch
Source :
BMJ Open, Vol 11, Iss 6 (2021)
Publication Year :
2021
Publisher :
BMJ Publishing Group, 2021.

Abstract

Introduction Chronic pain is highly prevalent and associated with a large burden of illness; there is a pressing need for safe, home-based, non-pharmacological, interventions. Virtual reality (VR) is a digital therapeutic known to be effective for acute pain, but its role in chronic pain is not yet fully elucidated. Here we present a protocol for the National Institute of Health (NIH) Back Pain Consortium (BACPAC) VR trial that evaluates the effectiveness of three forms of VR for patients with chronic lower back pain (cLBP), a highly prevalent form of chronic pain.Methods and analysis The NIH BACPAC VR trial will randomise 360 patients with cLBP into one of three arms, each administered through a head-mounted display: 1) skills-based VR, a program incorporating principles of cognitive behavioural therapy, mindful meditation and physiological biofeedback therapy using embedded biometric sensors; 2) distraction-based VR, a program using 360-degree immersive videos designed to distract users from pain; and 3) sham VR, a non-immersive program using two-dimensional videos within a VR headset. Research participants will be monitored for 12 weeks using a combination of patient-reported outcomes administered via REDCap (Research Electronic Data Capture), wearable sensor data collected via Fitbit Charge 4 and electronic health record data. The primary outcome will be the NIH Patient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference scale. Secondary outcomes will include PROMIS Anxiety, PROMIS Sleep Disturbance, opioid prescription data and Pain Catastrophizing Scale Short Form. A subgroup analysis will explore patient level predictors for VR efficacy.Ethics and dissemination Ethics approval was obtained from the Institutional Review Board of Cedars-Sinai Health System in April 2020. The results will be disseminated in a peer-reviewed journal.Trial registration number NCT04409353.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
11
Issue :
6
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.8e6951c52cc64e68acc97f5579e9a3e6
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2021-050545