Effect of socioeconomic status on wait times for patients undergoing treatment for laryngeal conditions in a universal healthcare system.

Objectives: As one of the world's only fully publicly administered, universal healthcare systems, Canada intends to provide equitable access to services for all patients. Socioeconomic status (SES) can affect treatment wait times with implications on health outcomes; however, this has not been evaluated in the setting of laryngeal disease, which incorporates urgent and elective conditions, in a universal healthcare system. This study aims to identify whether SES-affected treatment wait times for laryngeal therapies in this system.

Developing an Artificial Intelligence Tool to Predict Vocal Cord Pathology in Primary Care Settings.

Objectives: Diagnostic tools for voice disorders are lacking for primary care physicians. Artificial intelligence (AI) tools may add to the armamentarium for physicians, decreasing the time to diagnosis and limiting the burden of dysphonia.

Methods: Voice recordings of patients were collected from 2019 to 2021 using smartphones.

Long-Term Voice Outcomes Following Cricotracheal Resection for Subglottic Stenosis: A Retrospective Analysis.

Objectives/hypothesis: Cricotracheal resection (CTR) is an effective treatment for refractory idiopathic subglottic stenosis (iSGS) but is associated with persistent dysphonia. Outcomes were measured longitudinally to characterize how patients' voices and self-perceived voice handicaps changed after CTR.

Study Design: Retrospective case-series.

Use of a Low-fidelity simulator to improve trans-nasal fibre-optic flexible laryngoscopy in the clinical setting: a randomized, single-blinded, prospective study.

Background: Trans-nasal flexible fibre-optic laryngoscopy (TFFL) is an essential skill for otolaryngologists. There is evidence to suggest that simulators help residents acquire procedural skills. The objective of this study was to examine the effect of simulation on endoscopy skill acquistion.