Background: Patient-facing websites serve as essential platforms for disseminating information, engaging with patients, and increasing access to neurosurgical resources and services. Diversity, Equity, and Inclusion are at the forefront of issues facing the field of neurosurgery, especially concerning race and gender disparities in regards to providers in the field.
Methods: Data were collected in regards to the race and gender of patients and providers displayed on the neurosurgery department's patient-facing website in addition to accommodations for disabilities, decreased ability to pay, and language.
Results: Patients who were White were depicted more commonly than those of color (69% vs. 31%, P < 0.00001). White patients also were over-represented when compared with the average demographics of the communities in which the hospitals served (P = 0.03846). Neurosurgical providers who were White outnumbered those of color (70% vs. 30%, P < 0.00001). The racial depiction of providers was comparable with racial disparities currently observed in neurosurgery (P = 0.59612). Female neurosurgery providers were seen less than male providers on patient-facing websites (P < 0.00001) but were seen more commonly on patient-facing websites than the percentage of practicing neurosurgeons they currently comprise (28% vs. 8%, P < 0.00001).
Conclusions: The results of this study suggest that patient-facing websites of neurosurgical departments are an area of improvement in regards to Diversity, Equity, and Inclusion in the field of neurosurgery. Disparities are noted in regards to the racial depiction of patients and further call to attention racial and gender disparities in the field of neurosurgery.
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http://dx.doi.org/10.1016/j.wneu.2024.03.144 | DOI Listing |
JCO Precis Oncol
October 2024
Department of Clinical Genetics, Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, PA.
Br J Dermatol
November 2024
Department of Dermatology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Background: Skin cancer is the most common cancer worldwide. Early diagnosis is crucial for improving patient survival and morbidity. Artificial intelligence (AI)-assisted smartphone applications (apps) for skin cancer potentially offer accessible, early risk assessment of suspicious skin lesions.
View Article and Find Full Text PDFHeart Lung
November 2024
Centre for Health, Activity and Rehabilitation Research, School of Physiotherapy, University of Otago, 325 Great King Street, Dunedin, Otago 9054, New Zealand. Electronic address:
Introduction: Uncertainty about safe engagement in activity during early recovery after cardiac events is common. Websites are a potential source of health information, especially for those unable to access follow-up support from health professionals. The variability in online health information quality is concerning as poor web-based information can negatively impact patient health outcomes and the ability to self-manage.
View Article and Find Full Text PDFJ Patient Saf
December 2024
Mothers Against Medical Error, Columbia, South Carolina.
Background: Diagnostic errors are a global patient safety challenge. Over 75% of diagnostic errors in ambulatory care result from breakdowns in patient-clinician communication. Encouraging patients to speak up and ask questions has been recommended as one strategy to mitigate these failures.
View Article and Find Full Text PDFOtolaryngol Head Neck Surg
December 2024
Division of Otolaryngology-Head and Neck Surgery, Cedars-Sinai, Los Angeles, California, USA.
Objective: To use an artificial intelligence (AI)-powered large language model (LLM) to improve readability of patient handouts.
Study Design: Review of online material modified by AI.
Setting: Academic center.
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