Evidence map›Paper›PMID 38378078›Full record

ArticleJournal of substance use and addiction treatment2024

Virtual reality mindfulness training for veterans in residential substance use treatment: Pilot study of feasibility and acceptability.

Natalia Van Doren, Helen Ng, Eshaan Rawat, Kevin R McKenna, Daniel M Blonigen

Abstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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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.

Natalia Van DorenDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, United States of America. Electronic address: natalia.vandoren@ucsf.edu.
Helen NgDepartment of Psychology, University of California, Berkeley, CA, United States of America.
Eshaan RawatDepartment of Engineering, Stanford University, Stanford, CA, United States of America.
Kevin R McKennaVA Palo Alto Healthcare System, Department of Veterans Affairs, Palo Alto, CA, United States of America.
Daniel M BlonigenCenter for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, Menlo Park, CA, United States of America; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States of America.

Funding

Substance Use Disorders Treatment/Services Research Training ProgramT32DA007250 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Derek D Satre, Janice Y Tsoh · 1991 to 2026
$7.4M
HSR&D Research Career Scientist AwardIK6HX003763 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI Daniel Michael Blonigen · 2023 to 2026
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HSRD VA IK6 HX003763NIDA NIH HHS T32 DA007250
6 · The paper itself

Abstract

backgroundMindfulness training is effective in recovery from substance use disorders; however, adoption can be difficult due to environmental and personal distractions. Virtual reality (VR) may help overcome these challenges by providing an immersive environment for practicing mindfulness, but there is currently limited knowledge regarding patient and provider perceptions of VR-based tools.

objectiveThe present study investigated the feasibility and acceptability of VR mindfulness training for veterans in residential substance use treatment as well as potential benefits of VR mindfulness interventions in this population. We conducted a pilot feasibility/acceptability study as a first step toward conducting a larger randomized controlled trial (RCT).

methodsThe study recruited participants (N = 32) from a 30-day residential substance use program and collected both qualitative and quantitative feedback on the VR mindfulness intervention using a mixed-methods approach. Patients (n = 20) and providers (n = 12) rated the acceptability, usability, and satisfaction of the intervention. Using a within-subjects design, patients provided pre-post emotion ratings and reported on state mindfulness and VR presence after completing a single-session self-guided VR mindfulness intervention. Patients provided qualitative interview data on their overall impressions, while providers gave the same information via survey.

resultsBoth patients and providers reported high satisfaction and confidence in the intervention. Moreover, within subjects t-tests showed that patients experienced significant reductions in negative affect and significant increases in positive affect from pre-post, along with high levels of state mindfulness and presence. Results of thematic analysis revealed that the intervention facilitated focused attention on the present moment, induced a state of calm and relaxation, and reduced negative thoughts and emotions. Participants requested improvements such as better integration of audiovisual elements, a more personalized and longer intervention, and more comfortable fitting headset. Finally, the intervention presented with several advantages compared to other mindfulness experiences including reduced distractions and a sense of safety and privacy.

conclusionsSelf-guided VR mindfulness intervention is feasible and acceptable to patients and providers. VR mindfulness training provides an immersive experience that uplifts mood and reduces distractions. VR may provide a scaffolding tool to set the stage for deepening mindfulness skills. Results of the present study could inform further development and tailoring for future interventions.

Indexed as

Feasibility StudiesMindfulnessResidential TreatmentSubstance-Related DisordersVeteransVirtual RealityAdultFemaleHumansMaleMiddle AgedPatient Acceptance of Health CarePatient SatisfactionPilot ProjectsVirtual Reality Exposure TherapyInpatientMindfulnessSubstance use disordersVirtual reality

Identifiers

PMID38378078
PMCPMC11839269

What OpenQuestion holds

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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.