Rapid implementation of an evidence-based remote triaging system for assessment of suspected head and neck cancer referrals and patients on follow up after treatment during the COVID-19 pandemic: A model for international collaboration.

Clicks: 324
ID: 106263
2020
Article Quality & Performance Metrics
Overall Quality Improving Quality
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Combines engagement data with AI-assessed academic quality
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Abstract
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.For suspected cancer referrals, 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 5,123 follow-up consultations was used. A customised Excel Data Tool was created, trialled across professional groups and made freely available for download at www.entintegrate.co.uk/entuk2wwtt, alongside a user guide, protocol and registration link for the project. Stakeholder support was obtained from national bodies.No remote consultations were refused by patients. Preliminary data from 511 triaging episodes at 13 centres show that 77.1% of patients were discharged directly or have had their appointments deferred.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. This article is protected by copyright. All rights reserved.
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paleri2020rapidhead Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Paleri, Vinidh;Hardman, John;Tikka, Theofano;Bradley, Paula;Pracy, Paul;Fdsrcs, Cyrus Kerawala;
Journal head & neck
Year 2020
DOI
10.1002/hed.26219
URL
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