Randomized Controlled Trial of Virtual Reality Assisted Guided Imagery (VRAGI) for Pain in Advanced Cancer Patients.

Introduction Patients with advanced cancer often experience high levels of debilitating pain and pain-related psychological distress. Although there is increasing evidence that non-pharmacological strategies are needed to treat their pain, pharmacologic modalities remain the preferred strategy. Guided imagery is a form of focused relaxation that helps create harmony between the mind and body and has been shown to significantly improve cancer pain. This study presents Virtual Reality Assisted Guided Imagery (VRAGI) as an alternative pain treatment modality. The investigators of this study will conduct a randomized control trial to test its efficacy, feasibility, and safety in the home setting, for patients with advanced cancer. Methods and Analysis The study will recruit 80 participants from Prisma Health, a tertiary level health care center based in Greenville, South Carolina, USA using a stringent set of inclusion and exclusion criteria. The prospective 6-week, 2x2 randomized controlled trial will randomize participants to four groups: (1) VRAGI, (2) Laptop Assisted Guided Imagery (AGI), (3) VR (no guided imagery or other audio), and (4) laptop (no guided imagery or other audio). Participants allocated to VR groups will be trained to use a head-mounted display (HMD) that immerses them in 3D audio-video content. The non-VR group will use a laptop displaying 2D video content. Content includes relaxing natural scenes across three calendar seasons (spring, summer, fall). Investigators will collect measures pre, during, and post intervention including patient reported outcomes (PROs) of pain, anxiety, depression, fatigue. Additionally, investigators will assess the feasibility, acceptability and safety of VRAGI use in a home setting. Trial Registration Number #Pro00114598 Strengths and Limitations * This study uses a novel design that combines the use of immersive Virtual Reality (VR) technology with guided imagery processes to treat chronic pain in advanced cancer