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Enrolling by invitationNCT07283523BWH-VR-1Updated Dec 16, 2025

Virtual Reality to Combat Weight-Based Implicit Bias: BWH Pilot Study

An interventional study of 360 Video on a Virtual Reality Headset and 360-Control Video in Implicit Bias and Implicit Association Test, sponsored by Brigham and Women's Hospital. Enrolling by invitation at 1 site in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-12-16.

Sponsored by Brigham and Women's Hospital · Not applicable, Interventional, and Health services research

From the registry’s dates

  • Registered 1 year after the study started (first participant enrolled Nov 2024, registered Dec 2025).
Phase
Not applicable
Study type
Interventional
Enrollment
52
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

The goal of this pilot implementation study is to evaluate the impact of a virtual reality (VR) intervention on implicit bias for resident physicians. The main question it aims to answer are:

Does watching VR experience of two clinical encounters reduce implicit bias association test scores? Is the VR experience an acceptable intervention tool for reducing implicit bias?

Researchers will compare weight-based VR experiences consisting of two observed clinical encounters to a neutral education VR encounter to see if our intervention significantly impacts implicit bias association scores.

Participants will be asked

  1. Complete Implicit Association test for weight-based bias pre-intervention and post-intervention (immediately, at one week, and one month after the intervention) to assess their implicit bias
  2. Watch either experimental clinical encounter videos or neutral education video using a VR headset
  3. Participants will also complete an abbreviated IAT related to views on compliance
02

Conditions studied

  • Implicit Bias
  • Implicit Association Test

Keywords

  • Reality, Virtual
  • Virtual Reality, Educational
  • Implicit Association Test
  • Weight-based Implicit Bias
03

In context

Lead sponsor

Brigham and Women's Hospital is the lead sponsor of 1,236 studies on the registry; 224 are open to participants now.

Of its 116 completed or terminated interventional studies of FDA-regulated products, 64 (55%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Eligibility criteria

Inclusion Criteria:

  • Resident physicians associated with Brigham and Women's Hospital
  • Resident physicians providing informed consent to participate
05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
52 participants (estimated)

Study arms

  • Experimental
    Clinical Encounters VR Videos

    Behavioral: 360 Video on a Virtual Reality Headset

  • Other
    Control Neutral VR Video

    Behavioral: 360-Control Video

Interventions

  • Behavioral360 Video on a Virtual Reality Headset

    Two 360- videos watched via a VR headset where the study subject will witness a positive physician encounter with a compliant obese patient and a negative encounter with a non-compliant non-obese patient

  • Behavioral360-Control Video

    A neutral education video from the New England Journal of Medicine watched in a 360-theatre setting via a VR headset

06

What researchers measure

Primary outcomes

  1. Implicit Association Test

    Participants in both experimental and control arms will take four implicit association tests: one pre-VR to assess baseline, immediately post-VR, one-week, and one-month. Impact of VR experimental experience will be assessed for significant changes in IAT scores between the pre-VR test and the post-VR tests.

    Time frame: From enrollment to one-month post-intervention

Secondary outcomes

  1. Resident Impression of Virtual Reality Implicit Bias Project

    The acceptability of the use of virtual reality for implicit bias studies will be surveyed

    Time frame: One-month post-VR

07

Study locations

1 site
  • Brigham and Women's Hospital
    Boston, Massachusetts 02115, United States
08

References and documents

Publications

  • Marini M, Waterman PD, Breedlove E, Chen JT, Testa C, Reisner SL, Pardee DJ, Mayer KH, Krieger N. The target/perpetrator brief-implicit association test (B-IAT): an implicit instrument for efficiently measuring discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age. BMC Public Health. 2021 Jan 19;21(1):158. doi: 10.1186/s12889-021-10171-7. PubMed 33468085 ↗
  • Gonzalez-Liencres C, Zapata LE, Iruretagoyena G, Seinfeld S, Perez-Mendez L, Arroyo-Palacios J, Borland D, Slater M, Sanchez-Vives MV. Being the Victim of Intimate Partner Violence in Virtual Reality: First- Versus Third-Person Perspective. Front Psychol. 2020 May 8;11:820. doi: 10.3389/fpsyg.2020.00820. eCollection 2020. PubMed 32457681 ↗
  • Banakou D, Slater M. Body ownership causes illusory self-attribution of speaking and influences subsequent real speaking. Proc Natl Acad Sci U S A. 2014 Dec 9;111(49):17678-83. doi: 10.1073/pnas.1414936111. Epub 2014 Nov 24. PubMed 25422444 ↗
  • Salmanowitz N. The impact of virtual reality on implicit racial bias and mock legal decisions. J Law Biosci. 2018 Apr 19;5(1):174-203. doi: 10.1093/jlb/lsy005. eCollection 2018 May. PubMed 29707220 ↗
  • Banakou D, Kishore S, Slater M. Virtually Being Einstein Results in an Improvement in Cognitive Task Performance and a Decrease in Age Bias. Front Psychol. 2018 Jun 11;9:917. doi: 10.3389/fpsyg.2018.00917. eCollection 2018. PubMed 29942270 ↗
  • Peck TC, Seinfeld S, Aglioti SM, Slater M. Putting yourself in the skin of a black avatar reduces implicit racial bias. Conscious Cogn. 2013 Sep;22(3):779-87. doi: 10.1016/j.concog.2013.04.016. Epub 2013 May 28. PubMed 23727712 ↗
  • Bertrand P, Guegan J, Robieux L, McCall CA, Zenasni F. Learning Empathy Through Virtual Reality: Multiple Strategies for Training Empathy-Related Abilities Using Body Ownership Illusions in Embodied Virtual Reality. Front Robot AI. 2018 Mar 22;5:26. doi: 10.3389/frobt.2018.00026. eCollection 2018. PubMed 33500913 ↗
  • Marini M, Rubichi S, Sartori G. The role of self-involvement in shifting IAT effects. Exp Psychol. 2012;59(6):348-54. doi: 10.1027/1618-3169/a000163. PubMed 22750742 ↗
  • Lai CK, Marini M, Lehr SA, Cerruti C, Shin JE, Joy-Gaba JA, Ho AK, Teachman BA, Wojcik SP, Koleva SP, Frazier RS, Heiphetz L, Chen EE, Turner RN, Haidt J, Kesebir S, Hawkins CB, Schaefer HS, Rubichi S, Sartori G, Dial CM, Sriram N, Banaji MR, Nosek BA. Reducing implicit racial preferences: I. A comparative investigation of 17 interventions. J Exp Psychol Gen. 2014 Aug;143(4):1765-85. doi: 10.1037/a0036260. Epub 2014 Mar 24. PubMed 24661055 ↗
  • Tappolet C, Teroni, F, Ziv, AK. Shadows of the Soul: Philosophical Perspectives on Negative Emotions. 2018

Individual participant data

Plan to share: Undecided — IPD may not be shared since IAT scores of residents may be considered private information that a resident physician may not want shared.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 16, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07283523
Lead sponsor
Brigham and Women's Hospital
Responsible party
Daniel Palazuelos (Principal Investigator, Brigham and Women's Hospital) — Principal investigator
First posted
Dec 16, 2025
Start date
Nov 19, 2024
Primary completion
Nov 30, 2026 (estimated)
Completion
Dec 31, 2026 (estimated)
Last update
Dec 16, 2025

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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