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Video Remote Sign Language Interpreting in Health Communication for Deaf People: Protocol for a Randomized Controlled

Minerva Rivas Velarde^1,2, Laura Catalina Izquierdo Martinez^3,4, Jyoti Dalal⁴

¹School Of Health Science, University of Applied Sciences and Arts Western, Geneva, Switzerland.

JMIR Research Protocols

|December 2, 2024

Summary

Video Relay Interpretation (VRI) may improve communication for Deaf patients in healthcare settings. This study evaluated VRI

Keywords:

assistive technology communication deaf disability healthcare video remote interpretation

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Area of Science:

Health communication
Disability studies
Information and Communications Technology (ICT) in healthcare

Background:

Current interpretation services are inadequate for Deaf patients using sign language.
Video Relay Interpretation (VRI) offers a potential solution, but its effectiveness in healthcare is understudied.
Limited data exists on the availability and impact of VRI versus traditional communication methods.

Purpose of the Study:

To assess the effectiveness of VRI in enhancing communication outcomes between Deaf patients and physicians.
To compare VRI with standard communication tools (informal interpretation, lip-reading, note-taking, mobile phone use) for Deaf adults (18+).
To evaluate VRI's impact on communication quality in Bogota, Colombia.

Main Methods:

A randomized controlled trial involving 216 participants (108 per group).
Intervention group received appointments via VRI; control group received standard communication.
Blinded allocation for participants and healthcare professionals; primary outcome measured by a culturally adapted Doctor-Patient Communication Scale.

Main Results:

Recruitment initiated August 2023, with 180 participants enrolled by July 2024.
Intervention and data collection concluded in October 2024.
Study findings are anticipated for publication in early 2025.

Conclusions:

The study will provide evidence on ICT interventions for inclusive public health research.
Effective VRI models will be tested for implementation in low- and middle-income countries.
Results will inform evidence-based recommendations for the Convention on the Rights of Persons with Disabilities (CRPD) in mHealth.