Augmented Reality Medical Simulation

Sponsor
Stanford University (Other)
Overall Status
Enrolling by invitation
CT.gov ID
NCT04376255
Collaborator
(none)
150
1
1
48
3.1

Study Details

Study Description

Brief Summary

In order to improve the quality of care we provide to patients, medical trainees need to experience low incident, high mortality events in a safe learning environment. There is a selection bias for predisposing characteristics of health care providers, as most people who have pursued a career in medicine are motivated to learn how to manage medical emergencies. Resources have been traditionally enabled with conventional simulation centers or mobile simulation units. However, these are costly and difficult to access. The purpose of this study is to evaluate a mixed reality alternative to conventional simulation. The need for this is inherent in becoming a medical provider and use of these resources will improve health practices and health services.

Condition or Disease Intervention/Treatment Phase
  • Other: Augmented Reality (AR)
N/A

Study Design

Study Type:
Interventional
Anticipated Enrollment :
150 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Other
Official Title:
Augmented Reality Medical Simulation: A Multi-Collaborative Study of Acceptance and Usability
Actual Study Start Date :
Aug 18, 2020
Anticipated Primary Completion Date :
Aug 18, 2023
Anticipated Study Completion Date :
Aug 18, 2024

Arms and Interventions

Arm Intervention/Treatment
Experimental: Mixed Reality Simulation

Participants in the experimental arm will be introduced to workplace training modules through an Augmented Reality (AR) headset.

Other: Augmented Reality (AR)
AR headset - a device that the participants will wear over their head and eyes and will add holographic elements to a live view of workplace training scenario

Outcome Measures

Primary Outcome Measures

  1. Qualitative Interview Assessment of Remote Simulations [Post-Simulation, Approximate time duration (3-5 minutes)]

    Primary Aim: The primary aim is to study the acceptance of AR simulation among anesthesia residents using the Technology Acceptance Model (TAM)

Secondary Outcome Measures

  1. System Usability Scale (SUS) Questionnaire [Post-Simulation, Approximate time duration (3-5 minutes)]

    The first secondary aim is to evaluate AR simulation usability via the System Usability Scale (SUS) and ISO 9241-400 Assessment of human-ergonomic factors.

  2. Ergonomic Survey [Post-Simulation, Approximate time duration (3-5 minutes)]

    : The final secondary aim will evaluate the ergonomics of the headset via the ISO 9241-400 Assessment of human-ergonomic factors.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
Inclusion Criteria:
  • Trainees or personnel working and/or volunteering at Lucile Packard Children's Hospital Stanford / Stanford Health Care facilities

  • 18 years and older

Exclusion Criteria:
  • Have a history of severe motion sickness

  • Currently have nausea

  • History of seizures

  • Are clinically unstable

  • Currently using corrective glasses (not compatible with AR headset)

Contacts and Locations

Locations

Site City State Country Postal Code
1 Lucile Packard Children's Hospital Stanford Palo Alto California United States 94303

Sponsors and Collaborators

  • Stanford University

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Thomas Caruso, Clinical Associate Professor, Stanford University
ClinicalTrials.gov Identifier:
NCT04376255
Other Study ID Numbers:
  • 55657
First Posted:
May 6, 2020
Last Update Posted:
Aug 10, 2022
Last Verified:
Aug 1, 2022
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Thomas Caruso, Clinical Associate Professor, Stanford University

Study Results

No Results Posted as of Aug 10, 2022