| Title |
Smartphone-based voice wellness index application for dysphonia screening and assessment: development and reliability / |
| Authors |
Uloza, Virgilijus ; Ulozaitė-Stanienė, Nora ; Petrauskas, Tadas ; Pribuišis, Kipras ; Ulozienė, Ingrida ; Blažauskas, Tomas ; Damaševičius, Robertas ; Maskeliūnas, Rytis |
| DOI |
10.1016/j.jvoice.2023.10.021 |
| Full Text |
|
| Is Part of |
Journal of voice.. New York : Mosby-Elsevier. 2024, Early access, p. 1-11.. ISSN 0892-1997. eISSN 1873-4588 |
| Keywords [eng] |
voice screening app ; Dysphonia screening ; AVQI ; GFI ; VWI |
| Abstract [eng] |
Objective This study aimed to develop a Voice Wellness Index (VWI) application combining the acoustic voice quality index (AVQI) and glottal function index (GFI) data and to evaluate its reliability in quantitative voice assessment and normal versus pathological voice differentiation. Study design Cross-sectional study. Methods A total of 135 adult participants (86 patients with voice disorders and 49 patients with normal voices) were included in this study. Five iOS and Android smartphones with the "Voice Wellness Index" app installed were used to estimate VWI. The VWI data obtained using smartphones were compared with VWI measurements computed from voice recordings collected from a reference studio microphone. The diagnostic efficacy of VWI in differentiating between normal and disordered voices was assessed using receiver operating characteristics (ROC). Results With a Cronbach's alpha of 0.972 and an ICC of 0.972 (0.964–0.979), the VWI scores of the individual smartphones demonstrated remarkable inter-smartphone agreement and reliability. The VWI data obtained from different smartphones and a studio microphone showed nearly perfect direct linear correlations (r = 0.993–0.998). Depending on the individual smartphone device used, the cutoff scores of VWI related to differentiating between normal and pathological voice groups were calculated as 5.6–6.0 with the best balance between sensitivity (94.10–95.15%) and specificity (93.68–95.72%), The diagnostic accuracy was excellent in all cases, with an area under the curve (AUC) of 0.970–0.974. Conclusion The “Voice Wellness Index” application is an accurate and reliable tool for voice quality measurement and normal versus pathological voice screening and has considerable potential to be used by healthcare professionals and patients for voice assessment. |
| Published |
New York : Mosby-Elsevier |
| Type |
Journal article |
| Language |
English |
| Publication date |
2024 |
| CC license |
|
