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Self-modelling as a relapse intervention following speech-restructuring treatment for stuttering
Angela Cream1, Sue O'Brian, Mark Onslow
1Australian Stuttering Research Centre, The University of Sydney, Lidcombe, Australia.
International Journal of Language & Communication Disorders
|November 21, 2009
Summary
Video self-modelling effectively reduced stuttering in adults who relapsed after speech restructuring therapy. This technique offers a potentially standalone solution for managing stuttering relapse without compromising speech naturalness.
Area of Science:
- Speech-language pathology
- Clinical psychology
- Behavioral therapy
Background:
- Speech restructuring is effective for stuttering but relapse is common.
- Relapse management strategies are crucial for long-term fluency.
- Video self-modelling (VSM) is a novel approach for behavioral change.
Purpose of the Study:
- To assess VSM's efficacy in reducing stuttering in relapsed adults.
- To determine if VSM can manage relapse after speech restructuring.
- To evaluate VSM as a potential standalone relapse management tool.
Main Methods:
- Twelve adults with relapsed stuttering practiced speech restructuring.
- Daily VSM sessions using edited stutter-free speech for one month.
- Speech samples and self-report data collected pre- and post-intervention.
Main Results:
- Significant reduction in stuttering: mean syllables stuttered decreased from 7.7% to 2.3%.
- High effect sizes observed, with 11 out of 12 participants showing improvement.
- Self-report data corroborated objective fluency gains; speech naturalness was maintained.
Conclusions:
- VSM is a potentially effective and time-efficient tool for managing stuttering relapse.
- VSM may serve as a standalone intervention or adjunct to relapse management plans.
- Further trials are recommended to confirm the duration and magnitude of VSM's effects.
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