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Related Experiment Video

Updated: Jul 3, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Published on: August 9, 2024

A study of voice therapy dropout.

Edie Hapner¹, Carissa Portone-Maira, Michael M Johns

¹Department of Otolaryngology-Head and Neck Surgery, Emory Voice Center, Emory University, Atlanta, GA 30308, USA. Edie.Hapner@Emoryhealthcare.org

Journal of Voice : Official Journal of the Voice Foundation

|August 5, 2008

Summary

High voice therapy dropout rates, at 65%, were observed, consistent with other behavioral therapies. Factors like age, gender, or diagnosis did not predict patient attrition in this study.

Related Experiment Videos

Last Updated: Jul 3, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Published on: August 9, 2024

Area of Science:

Speech and Hearing Sciences
Behavioral Therapy Research

Background:

Treatment dropout is a significant issue in behavioral change therapies.
High attrition rates are noted as problematic in voice therapy research, though not previously quantified.

Purpose of the Study:

To quantify voice therapy dropout rates.
To identify factors predicting patient dropout during voice therapy.

Main Methods:

Retrospective chart review at two voice centers.
Data included demographics, Voice Handicap Index (VHI), Consensus Auditory Perceptual Evaluation of Voice (CAPE-V) severity, diagnosis, and completion status.

Main Results:

A 65% voice therapy dropout rate was identified.
No significant association was found between dropout and gender, age, race, VHI, CAPE-V scores, or diagnosis.
The analyzed variables did not predict dropout.

Conclusions:

Voice therapy exhibits high dropout rates comparable to other behavioral change fields.
Current demographic and clinical variables are not predictive of voice therapy dropout.
Further research is needed to develop strategies for reducing patient attrition from referral to therapy completion.