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Previous research suggests that biofeedback can outperform traditional interventions for RSE, but no controlled studies have tested this hypothesis in the context of app-delivered biofeedback. The objective of this aim is to use the staRt app to test our working hypothesis that speakers will make larger gains in /r/ accuracy when app-based treatment incorporates biofeedback, compared to a non-biofeedback condition. With a network of cooperating SLPs, this project will recruit 15 children with /r/ misarticulation to receive 8 weeks of intervention using staRt. Individual sessions will be randomly assigned to include or exclude the visual biofeedback display. Randomization tests will be used to evaluate, for each individual, whether larger increments of change are associated with biofeedback and non-biofeedback sessions.
Age
8 - 15 years
Sex
ALL
Healthy Volunteers
No
New York University
New York, New York, United States
Start Date
April 4, 2018
Primary Completion Date
August 31, 2019
Completion Date
February 28, 2022
Last Updated
May 3, 2023
15
ACTUAL participants
Traditional articulation treatment
BEHAVIORAL
Visual-acoustic biofeedback
BEHAVIORAL
Lead Sponsor
New York University
Collaborators
NCT06831396
NCT06416306
NCT07041723
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
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