Literature DB >> 27658338

Assessment of Grade of Dysphonia and Correlation With Quality of Life Protocol.

Ana Lúcia Spina1, Agrício Nubiato Crespo2.   

Abstract

OBJECTIVE: The main objective of this study is to check the correlation between vocal self-assessment and results of the Voice-Related Quality of Life (V-RQOL) protocol, and whether there is a correlation between perceptual vocal assessment made by voice therapists and the results from the V-RQOL protocol. STUDY
DESIGN: The study included 245 subjects with vocal complaints. This was a prospective analytical clinical study.
METHODS: Vocal perceptual assessment of each subject with dysphonia was made by three voice therapists, followed by self-assessment made by the subjects themselves, and the application of the V-RQOL protocol.
RESULTS: The results have shown poor level of agreement between vocal assessment made by the voice therapists and self-assessment made by the subjects. The statistical analysis indicated that the results of V-RQOL protocol showed significant correlation with the vocal assessment made by the voice therapists and the self-assessment by the subjects.
CONCLUSIONS: The agreement between the assessments was low and variable; age, gender, professional voice use, and clinical laryngoscopic diagnosis did not influence the agreement level. Protocol V-RQOL is sensitive to vocal assessment made by the voice therapists and self-assessment made by the patient.
Copyright © 2017 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  V-RQOL; dysphonia; quality of life; vocal assessment; voice

Mesh:

Year:  2016        PMID: 27658338     DOI: 10.1016/j.jvoice.2016.04.005

Source DB:  PubMed          Journal:  J Voice        ISSN: 0892-1997            Impact factor:   2.009


  3 in total

1.  GALP Qualifier Scale: Initial Considerations to Classify a Voice Problem.

Authors:  Marina Englert; Viviana Mendoza; Mara Behlau; Marc De Bodt
Journal:  Folia Phoniatr Logop       Date:  2019-10-01       Impact factor: 0.849

2.  Hey Siri: How Effective are Common Voice Recognition Systems at Recognizing Dysphonic Voices?

Authors:  Matthew L Rohlfing; Daniel P Buckley; Jacquelyn Piraquive; Cara E Stepp; Lauren F Tracy
Journal:  Laryngoscope       Date:  2020-09-19       Impact factor: 2.970

3.  Voice deviation, dysphonia risk screening and quality of life in individuals with various laryngeal diagnoses.

Authors:  Katia Nemr; Ariane Cota; Domingos Tsuji; Marcia Simões-Zenari
Journal:  Clinics (Sao Paulo)       Date:  2018-03-12       Impact factor: 2.365

  3 in total

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