Behind the Headset: Predictive Accuracy of Patient-Reported Outcome Measures for Voice Symptoms in Call Centers
Adrián Castillo-Allendes,
Lady Catherine Cantor-Cutiva,
Eduardo Fuentes-López
et al.
Abstract: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 (ROC) curves are employed.
Results. Age and sleep patterns impacted voice quality and effort, while workplace factors influenced symptom perception. Unhealthy vocal behaviors related to tense voice and increased effort, w… Show more
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