Evidence map›Paper›PMID 40893703›Full record

ArticleThe British journal of occupational therapy2025

Analyzing characteristics of immersive virtual reality experiences for chronic pain management: Assessing the interrater reliability of the Virtual Reality Activity Analysis for Pain instrument.

Nancy A Baker, Joanne Baird, Megan Kenney, Kyle M Monahan

Abstract read
In one paragraph

Article in The British journal of occupational therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

4 authors.

Nancy A BakerDepartment of Occupational Therapy, Tufts University, Medford, MA, USA.ORCID https://orcid.org/0000-0002-7652-6688
Joanne BairdDepartment of Occupational Therapy, University of Pittsburgh, Pittsburgh, PA, USA.
Megan KenneyChronic Pain Clinical Specialist, US Department of Veterans Affairs, Pittsburgh, PA, USA.
Kyle M MonahanData Science Services, Tufts University, Medford, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Immersive virtual reality is increasingly used to treat chronic pain. Commercial virtual reality experiences offer a way to integrate immersive virtual reality into clinical practice, but selecting appropriate virtual reality experiences for specific patient goals is challenging. We developed the Virtual Reality Activity Analysis for Pain to help occupational therapy professionals assess virtual reality experience physical, sensory, mental, and psychosocial components relevant to chronic pain treatment. This study aimed to evaluate the interrater reliability of the virtual reality activity analysis for pain instrument. Method: Raters assessed 10 virtual reality experiences using the virtual reality activity analysis for pain instrument, which includes 30 items across physical, sensory, mental, and psychosocial categories. We conducted 40 measurements per item and compared them using inter-class correlation coefficients. Results: The virtual reality activity analysis for pain demonstrated excellent interrater reliability (inter-class correlation coefficients = 0.91), with four out of five sections and 55% of items showing good to excellent reliability. Only 16% of items exhibited poor reliability. Conclusion: The virtual reality activity analysis for pain is a reliable tool for analyzing virtual reality experience characteristics, with potential to standardize reviews of commercially available virtual reality experiences, aiding occupational therapy professionals to implement immersive virtual reality into chronic pain management.

Indexed as

immersive virtual realitypainpsychometricsrehabilitationSimulationvalidation study

Identifiers

PMID40893703
PMCPMC12398655

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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.