Objective: This study aimed to investigate the presence of implicit bias among ENT surgeons and explore the impact of the results of the Implicit Association Test on the surgeons' behaviour towards patients.
Method: Seven ENT surgeons who were not black, Asian or minority ethnic were asked to complete the Race Implicit Association Test. The surgeons also completed a survey about their perceptions of their implicit biases and the impact of the Race Implicit Association Test results on their behaviour towards patients.
Results: The mean Race Implicit Association Test score for the ENT surgeons suggested a slight bias that favoured white over black people. Furthermore, 42 per cent of the surgeons thought that they had hidden or unconscious racial bias, 42 per cent said they would change their behaviour towards patients after receiving these results and 85 per cent thought that the Race Implicit Association Test was helpful for appraisal purposes.
Conclusion: The results suggest that ENT surgeons who are not black, Asian or minority ethnic may have implicit biases towards black patients. These findings highlight the need for interventions to reduce implicit bias among ENT surgeons and improve healthcare outcomes for marginalised populations.
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http://dx.doi.org/10.1017/S0022215123000592 | DOI Listing |
Laryngoscope Investig Otolaryngol
February 2025
Objective: The primary aim of this study was to investigate the accuracy of a semi-automatic algorithm in assessing the feasibility and complexity of endoscopic stapes surgery preoperatively.
Methods: A semi-automatic algorithm was developed to simulate endoscopic stapes surgery in 3D. To test the accuracy of the algorithm, five fresh-frozen cadaveric heads (ten ears) were used.
Clin Otolaryngol
January 2025
Consultant ENT/Head and Neck Surgeon, Department of Otolaryngology/Head and Neck Surgery, University Hospitals Dorset NHS Foundation Trust. Professor of Head and Neck Surgical Oncology, University of Southampton, United Kingdom.
Objective: Evaluate the role of surgery as the sole treatment modality for patients with cervical head and neck squamous cell carcinoma of unknown primary (HNSCCUP).
Design: Systematic review of observational cohort studies with qualitative synthesis.
Setting: PubMed, Ovid EMBASE, and Cochrane Controlled register of Trials (CENTRAL) were screened from January 2000 up to October 2021.
Eur Arch Otorhinolaryngol
January 2025
Department of Otolaryngology and Head and Neck Surgery, IRCSS AOU San Martino, University of Genoa, Largo Rosanna Benzi 10, 16132, Genoa, Italy.
Purpose: Immunoglobulin G4-related disease (IgG4-RD) is a complex systemic fibroinflammatory condition with different clinical manifestations affecting multiple organ systems. Despite its rarity, the disease presents diagnostic and therapeutic challenges due to its mimicry of malignancies and other immune-mediated disorders. The 2019 American College of Rheumatology/European League Against Rheumatism Classification Criteria for IgG4-Related Disease is the current state of art to confirm the diagnosis of IgG4-RD even in the absence of histological analysis.
View Article and Find Full Text PDFCancers (Basel)
December 2024
Department of Medical and Surgical Specialities, Radiological Sciences and Public Health (DSMC), University of Brescia, 25123 Brescia, Italy.
Successful surgical outcomes in head and neck cancer depend on the accurate identification of resection margins. Effective communication between surgeons and pathologists is critical, but is often jeopardised by challenges in sampling and orienting anatomically complex specimens. This pilot study aims to evaluate the use of 3D scanning of surgical specimens as a tool to improve communication and optimise the pathology sampling process.
View Article and Find Full Text PDFIntroduction Mucormycosis is an uncommon fungal infection caused by filamentous fungi of the Mucorales order, namely Rhizopus, Lichthemia, andMucor species. The incidence and prevalence of mucormycosis reached an all-time high during the COVID-19 pandemic due to excessive steroid use and other factors, leading to the coining of the term CAM (COVID Associated Mucormycosis). The diagnosis of mucormycosis is by a combination of histopathology and microbiological techniques, such as KOH mount and culture.
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