Evidence map›Paper›PMID 42061854›Full record

Trial reportJournal of medical Internet research2026

Skill-Based Virtual Reality Therapy in High-Impact Chronic Pain: 2-Year Follow-Up Results From a Secondary Analysis of a Randomized Controlled Trial.

Todd Maddox, Josh Sackman, Robert Bonakdar, Roselani Maddox, Beth D Darnall

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Todd MaddoxAppliedVR, Van Nuys, CA, United States.ORCID https://orcid.org/0000-0003-1265-4960
Josh SackmanAppliedVR, Van Nuys, CA, United States.ORCID https://orcid.org/0000-0001-8564-6211
Robert BonakdarScripps Health, La Jolla, CA, United States.ORCID https://orcid.org/0000-0003-1533-3265
Roselani MaddoxAppliedVR, Van Nuys, CA, United States.ORCID https://orcid.org/0000-0001-6899-2825
Beth D DarnallStanford Medicine, Palo Alto, CA, United States.ORCID https://orcid.org/0000-0003-3590-511X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-impact chronic pain (HICP) involves substantial interference in functioning, affects 8.5% of the population, and leads to higher health care costs relative to low-impact chronic pain (LICP). Behavioral interventions such as virtual reality (VR) offer scalable and accessible treatment, but testing is needed to ensure durable effectiveness in HICP. We conducted a secondary analysis of the largest real-world dataset for a therapeutic skill-based VR vs a sham VR control to test treatment efficacy in HICP vs LICP. Relative to LICP, we found significantly larger (and clinically meaningful; ie, ≥2 points) pain interference and pain intensity reductions for HICP at end of treatment and 1 year posttreatment. End-of-treatment reduction in pain interference reclassified 70% (114/163) of participants with HICP as LICP, and this improvement held at 1 year posttreatment (104/155, 67%).

objectiveThis study examined the effectiveness of a 56-session skill-based VR therapy in HICP at 2 years posttreatment and compared the effects with those on LICP.

methodsWe conducted a secondary analysis of the skill-based VR sample (536/1067, 50.2%) at 2 years posttreatment from a randomized controlled trial involving an in-home chronic low back pain sample that was recruited and tested online and was diverse (female: 411/536, 77%; non-White individuals: 166/536, 31%; high school or lower educational level: 102/536, 19%; mean age 50.8 years) and had clinically severe pain at baseline (intensity=6.6; interference=6.2; 42% with severe or complete disability). Focusing on the skill-based VR participants (536/1067, 50.2%) and using a validated approach, we classified participants at baseline as either HICP (baseline Brief Pain Inventory pain interference score>7) or LICP (baseline Brief Pain Inventory pain interference score<7). Clinical effectiveness was examined using a general linear model at 2 years posttreatment relative to baseline with the primary outcomes of pain interference and pain intensity.

resultsParticipants with HICP (192/536, 35.8%) reported superior reductions in pain interference, pain intensity, sleep disturbance, and physical disability (P<.001 in all cases) at 2 years posttreatment compared to participants with LICP (344/536, 64.2%). Participants with HICP had clinically meaningful (≥2-point) reductions in pain interference (mean 3.1, 95% CI 2.66-3.54; effect size=1.12) and pain intensity (mean 2.6, 95% CI 2.18-3.02; effect size=1.01) at 2 years posttreatment. Importantly, reduced pain interference scores at 2 years posttreatment reclassified 71.1% (106/149) of the participants with HICP as LICP. No serious adverse events or side effects were reported.

conclusionsPatients with HICP experience severe pain that drives high health care use. The skill-based VR therapy demonstrated durable reductions in pain and related outcomes 2 years posttreatment, with the largest benefits observed in the HICP subgroup. These results suggest that a skill-based, VR-delivered therapy produces durable effects in patients with HICP, a population that is frequently overmedicalized and undertreated with behavioral interventions. These findings suggest that home-based VR-delivered therapy offers a scalable treatment option for this underserved population.

Indexed as

Chronic PainVirtual RealityAdultFemaleFollow-Up StudiesHumansMaleMiddle AgedPain MeasurementTreatment Outcomedigital healthHICPhigh-impact chronic painLICPlow-impact chronic painvirtual realityVR

Identifiers

PMID42061854
PMCPMC13153747

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.