Cognitive Behavioral Theory-assisted Virtual Reality for Chronic CANcer Pain (VR-CAN)
VR-CAN
1 other identifier
interventional
40
1 country
2
Brief Summary
While chronic cancer pain affecting as many as 75% of patients is typically addressed using pharmacologic interventions, experts and patients alike support maximizing any relevant non-pharmacologic interventions as well, such as cognitive behavioral therapy. Virtual reality, a novel technology that can temporarily immerse users in a calm, pleasant environment, has been increasingly shown to facilitate improvement in different acute and chronic pain syndromes by providing distraction from pain and lowering pain sensation. To address the significant needs of patients living with chronic cancer pain, we aim to develop and pilot test a prototype device that will leverage cognitive behavioral therapy principles to deliver a novel virtual reality pain therapy. The investigators will do this through the following steps: Step 1. Develop and refine a CBT-assisted VR prototype for patients with chronic cancer pain (VR-CAN). Step 2. Conduct a randomized controlled trial to examine the feasibility, acceptability, usability, safety, and initial clinical impact of the developed VR-CAN prototype compared to a tablet-based two-dimensional video control group. Step 3. Collect and evaluate qualitative post-intervention data on VR-CAN participants' preferences, thoughts, and feelings about the VR-CAN technology and protocol to optimize for a future, larger, fully powered randomized controlled trial.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable cancer
Started Jul 2025
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 25, 2025
CompletedStudy Start
First participant enrolled
July 1, 2025
CompletedFirst Posted
Study publicly available on registry
January 6, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
May 31, 2027
January 6, 2026
December 1, 2025
1.4 years
June 25, 2025
January 2, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Feasibility of device use as assigned
Protocol adherence (completion of assigned intervention).
From enrollment to study completion (14 days)
Secondary Outcomes (8)
Acceptability
From enrollment to study completion (14 days)
Usability
From enrollment to study completion (14 days)
Safety of intervention
From enrollment to study completion (14 days)
Pain interference
From enrollment to study completion (14 days)
Profile of Mood States Short Form
From enrollment to study completion (14 days)
- +3 more secondary outcomes
Study Arms (2)
Virtual reality delivered behavioral skills for pain management
EXPERIMENTALParticipants use VR-CAN therapy at home, 10 minutes per session, daily for 14 days
Tablet-based delivery of behavioral skills for pain management
ACTIVE COMPARATORParticipants use a two-dimensional skills-based intervention delivered by handheld tablet at home, 10 minutes per session, daily for 14 days
Interventions
VR-CAN participants will be instructed to use the prototype VR-CAN software on the VR device at home daily for two weeks, at least 10 minutes per session, beginning the day after enrollment.
Tablet-based active control participants will follow the same prescription as the experimental arm (i.e., using assigned technology \>10 min/daily for two weeks at home), except they will view a two-dimensional, non-CBT skills version using a tablet device.
Eligibility Criteria
You may qualify if:
- age at least 18 years old
- cancer diagnosis, undergoing treatment
- chronic cancer pain (i.e., cancer pain at least 3 months duration) with baseline pain severity at least 4/10 (where 0=no pain, 10=worst pain)
You may not qualify if:
- intractable nausea/vomiting, motion sickness, seizures/epilepsy, and/or cranial structures/abnormalities preventing VR headset use
- moderate-severe pain of non-cancer etiology
- enrolled in another pain study
- unable to complete survey measures or interviews in English or Spanish
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- National Cancer Institute (NCI)collaborator
- Medstar Health Research Institutelead
Study Sites (2)
MedStar Health Research Institute
Washington D.C., District of Columbia, 20010, United States
Duke University School of Medicine
Durham, North Carolina, 27710, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- DEVICE FEASIBILITY
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 25, 2025
First Posted
January 6, 2026
Study Start
July 1, 2025
Primary Completion (Estimated)
December 1, 2026
Study Completion (Estimated)
May 31, 2027
Last Updated
January 6, 2026
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
- Time Frame
- Data will become available upon completion of the study and dissemination of findings.
- Access Criteria
- All deidentified study data that are not designated as restricted use will be made available as public use data to the research community via DSDR. Users of the public use data must register with ICPSR and agree to the Terms of Use, which are designed to protect study participants by limiting data use to scientific research and aggregate statistical reporting, prohibiting attempts to identify study participants, and requiring immediate reporting of any disclosure of study participant identity. Data users also agree not to share or redistribute any data downloads.
Public use and restricted access study data and associated documentation will be made available to the research community free of charge through the Data Sharing for Demographic Research (DSDR).