Behind the Headset: Predictive Accuracy of Patient-Reported Outcome Measures for Voice Symptoms in Call Centers

Behind the Headset: Predictive Accuracy of Patient-Reported Outcome Measures for Voice Symptoms in Call Centers

Objective. This study examines factors predicting self-reported voice symptoms in call center workers. Methods. Multivariate analysis and predictive modeling assess personal, work-related, acoustic, and behavioral factors. Generalized Linear Models (GLMs) and Receiver Operating Characteristic (RO...

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Bibliographic Details
Main Authors: Adrián Castillo-Allendes, Lady Catherine Cantor-Cutiva, Eduardo Fuentes-López, Eric J. Hunter
Format: Article
Language:Spanish
Published: Fundación Universitaria María Cano 2024-01-01
Series:Revista de Investigación e Innovación en Ciencias de la Salud
Subjects:
Voice symptoms
call center workers
predictive factors
occupational health
self-reported measures
Online Access:https://riics.info/index.php/RCMC/article/view/240

Internet

https://riics.info/index.php/RCMC/article/view/240

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