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BACKGROUND: Outpatient telemedicine consultations are being adopted to triage patients for head and neck cancer. However, there is currently no established structure to frame this consultation. METHODS: For suspected referrals with cancer, we adapted the Head and Neck Cancer Risk Calculator (HaNC‐RC)‐V.2, generated from 10 244 referrals with the following diagnostic efficacy metrics: 85% sensitivity, 98.6% negative predictive value, and area under the curve of 0.89. For follow‐up patients, a symptom inventory generated from 5123 follow‐up consultations was used. A customized Excel Data Tool was created, trialed across professional groups and made freely available for download at http://www.entintegrate.co.uk/entuk2wwtt, alongside a user guide, protocol, and registration link for the project. Stakeholder support was obtained from national bodies. RESULTS: No remote consultations were refused by patients. Preliminary data from 511 triaging episodes at 13 centers show that 77.1% of patients were discharged directly or have had their appointments deferred. DISCUSSION: Significant reduction in footfall can be achieved using a structured triaging system. Further refinement of HaNC‐RC‐V.2 is feasible and the authors welcome international collaboration.
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document_parses/pdf_json/6ab53d35a7dbf23079057d85db4f2c6211899f7c.json
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document_parses/pmc_json/PMC7267183.xml.json
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Rapid implementation of an evidence‐based remote triaging system for assessment of suspected referrals and patients with head and neck cancer on follow‐up after treatment during the COVID‐19 pandemic: Model for international collaboration
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