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 range
8 Years – 15 Years
Sex
ALL
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
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Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
F3-F2 Distance, an Acoustic Measure That Correlates With Perceptual Accuracy of /r/, Measured From /r/ Sounds Produced in Treatment Sessions.
Timeframe: F3-F2 distance was measured in all 16 treatment sessions (eight of each type), which were administered over eight weeks.