Related Experiment Video
Updated: Nov 17, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
Published on: September 27, 2024
Brazilian Dysphonia Screening Tool (Br-DST): An Instrument Based on Voice Self-Assessment Items
Priscila Oliveira1, Eufrásio de Andrade Lima Neto2, Leonardo Lopes1
1Department of Speech Therapy, Federal University of Paraíba - UFPB, João Pessoa, Pariaba, Brazil.
Objective:
To propose a short instrument for the screening of dysphonia in the Brazilian population through the investigation of traditional voice self-assessment instrument items.
Methods:
We analyzed the medical records of 139 individuals with an average age of 37.4 years and a minimum and maximum age of 18 and 77 years, respectively. The participants were classified as dysphonic (D) or non-dysphonic (ND) according to an analysis of the combination of vocal complaints and laryngological reports. Responses to the items of the following self-assessment instruments were collected: the Questionário de Qualidade de Vida em Voz - QVV (Voice-Related Quality of Life - V-RQOL), the Índice de Desvantagem Vocal - IDV (Voice Handicap Index - VHI) and the Escala de Sintomas Vocais - ESV (Voice Symptom Scale - VoiSS). These items were analyzed regarding their predictive capacities for dysphonia through logistic regression models.
Results:
The model containing items of the QVV was not observed to be valid. The model for the IDV produced a set of three items (10, 13, and 14), and the ESV model showed two items (4 and 20) to be significant. A Global model combining the previous models shows that items I feel as though I have to strain to produce voice from the IDV and "Is your voice hoarse?" from the ESV are the most significant in the classification of the presence of dysphonia. This decision-making model was considered the most efficient to identify the dysphonia, with the highest level of accuracy compared to the other models investigated (83.4%).
Conclusion:
Dysphonia screening can be performed using a simple, rapid protocol with a high-efficiency index that includes two items taken from traditional voice self-assessment instruments.
Related Concept Videos
Physical Assessment of the Respiratory Tract IV: Auscultation
Breath Sounds
Breath sounds are categorized into vesicular, bronchovesicular, and bronchial.
Assessment of Airway, Skin Color, and Use of Accessory Muscles
Introduction
The initial evaluation of a patient's respiratory system...
Self-Report Tests of Personality
Assessment of Respiration
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like...
Assessment of Ventilation II: Respiratory Depth and Rhythm
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
Physical Assessment of the Respiratory Tract II: Palpation
Thoracic Palpation
Thoracic palpation detects tenderness, masses, lesions, respiratory excursions, and vocal fremitus. The nurse assesses...

