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Growing reliance on telemedicine has created new triaging challenges. This study investigated how effectively otolaryngology resident auditory-perceptual voice assessments performed via telemedicine determined the need for urgent in-person clinic visits. Twelve otolaryngology resident physicians (PGY1–PGY5) performed auditory-perceptual assessments on 25 voice samples recorded during initial voice evaluations. Voice samples were balanced in severity and taken in equal numbers from patients with the following diagnoses: benign laryngeal lesions, laryngeal cancer, functional voice disorders, laryngeal edema (associated with LPR), and laryngeal paralysis/paresis. Urgent diagnoses were defined as laryngeal cancer and severe unilateral laryngeal paralysis. For each voice sample, residents were initially blinded to patient medical history. Residents rated severity of voice disorder, predicted patient diagnosis, and determined the urgency of seeing the patient in clinic. Residents then reviewed information from the patient's medical history and again rated urgency of voice disorder. On average, residents identified urgent voice disorders in 56% of cases. After reviewing medical history, this number significantly increased to 77% (P = 0.001). Voice severity, smoking history, time since onset, and course of symptoms were considered most influential when determining medical urgency of voice patients. Year in residency program had no effect on rating accuracy. As expected, diagnostic accuracy of auditory-perceptual assessments was low, ranging from 40% for laryngeal paralysis/paresis to 5% for laryngeal edema. Auditory-perceptual voice assessment, combined with medical history, predicted most medically urgent voice disorders. Further work should investigate if task-specific training might improve these results and which medical history items are most critical. Until accuracy of auditory-perceptual assessment of medical urgency is improved, these data underscore the importance of laryngeal examination in identifying medical urgency and etiology of dysphonia. [ABSTRACT FROM AUTHOR]

Objective: This study examined whether speech-language pathologist auditory-perceptual voice assessments can predict the medical urgency of voice disorders. Methods: Twenty speech-language pathologists (SLPs) evaluated 25 voice samples recorded during initial voice evaluations. Voice samples represented a range of dysphonia severity (mild-severe) balanced across patient diagnoses. Diagnoses included: benign lesions, laryngeal cancer, non-organic voice disorders, laryngeal edema (associated with LPR), and laryngeal paralysis or paresis. Laryngeal cancer and severe unilateral laryngeal paralysis were considered urgent disorders. While blinded to patient information, SLPs rated severity of voice quality, predicted patient diagnosis, and determined whether the patient should be seen urgently by a laryngologist. SLPs were then given basic medical history information and rated medical urgency of voice disorder a second time. Results: On average, SLPs correctly identified 65% of urgent voices and 87% of nonurgent voices when blinded to patient information. Accuracy improved significantly to 86% for urgent voices with medical history information (P <.001) and decreased to 77% for nonurgent voices. Accuracy was better when severity of voice quality was severe for urgent voices and mild for nonurgent voices (P <.001). SLPs indicated that patient smoking history and severity of dysphonia were most influential in their decision making. Diagnostic accuracy of auditory-perceptual assessments was poor. Conclusions: SLPs identified 86% of medically urgent voice disorders when auditory perceptual assessments were combined with medical history information. Further work is needed to determine what medical history information is most crucial to rating accuracy and what speech tasks might best separate urgent and nonurgent patients. [ABSTRACT FROM AUTHOR]

Objective: Routine outcome monitoring (ROM) has been strongly endorsed by psychotherapy researchers, but has yet to achieve widespread implementation in clinical settings. This article describes the development of the Clinically Adaptive Multidimensional Outcome Survey (CAMOS), an innovative ROM system that allows for local adaptation while providing high quality data. Method: Three-hundred and four clients at a university counseling center and 211 female patients at an eating disorder treatment facility were administered the CAMOS at intake, and 118 took the CAMOS at both intake and discharge. Two models were developed and compared. Both models were developed using exploratory and confirmatory factor analysis. Results: A five-factor model was found to have the best model fit, internal consistency, convergent validity, and discriminant validity. Conclusions: The CAMOS has evidence to support its reliability and validity as a measure of various dimensions of distress. Distinctive tailoring features of the CAMOS compared to other ROM measures are described. [ABSTRACT FROM AUTHOR]