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Temporal Variables in Voice Therapy.

Marc De Bodt1, Tine Patteeuw2, Athenais Versele3

  • 1Department of Otorhinolaryngology, Head & Neck Surgery and Communication Disorders, Antwerp University Hospital, Antwerp, Belgium; Faculty of Medicine & Health Sciences, Antwerp University, Antwerp, Belgium; Faculty of Medicine & Health Sciences, Ghent University, Ghent, Belgium.

Journal of Voice : Official Journal of the Voice Foundation
|March 22, 2015
PubMed
Summary

Voice therapy duration averages 9.25 weeks with 10.87 sessions, varying geographically. These findings establish a reference for voice therapy dosage and optimal practices.

Keywords:
Temporal variablesTherapy durationTherapy frequencyVoice therapy

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Area of Science:

  • Speech and Hearing Sciences
  • Clinical Practice Research

Background:

  • Voice therapy temporal variables are crucial for understanding treatment dosage.
  • Previous literature reviews on voice therapy duration and frequency are limited.

Purpose of the Study:

  • To analyze temporal variables (duration and frequency) of voice therapy from scientific literature.
  • To establish a frame of reference for international voice therapy practices.

Main Methods:

  • Systematic literature search of PubMed using keywords 'voice and therapy' and 'therapy and dysphonia'.
  • Inclusion of data from 93 qualified publications and 47 scientific textbooks.
  • Analysis of temporal data including session duration, frequency, and total treatment time.

Main Results:

  • Average voice therapy duration is 9.25 weeks over 10.87 sessions, typically 30 or 60 minutes each, occurring once or twice weekly.
  • Average face-to-face time between therapist and patient is 8.17 hours.
  • Significant geographic variations observed, with North American patients receiving more sessions over shorter periods compared to European patients.

Conclusions:

  • The study provides a benchmark for temporal aspects of voice therapy.
  • Findings can inform decisions regarding voice therapy dosage and optimal clinical practices.
  • Acknowledges limitations and discusses factors influencing data representativeness.