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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
Author(s) -
Paleri Vinidh,
Hardman John,
Tikka Theofano,
Bradley Paula,
Pracy Paul,
Kerawala Cyrus
Publication year - 2020
Publication title -
head and neck
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.012
H-Index - 127
eISSN - 1097-0347
pISSN - 1043-3074
DOI - 10.1002/hed.26219
Subject(s) - triage , medicine , head and neck cancer , telemedicine , protocol (science) , head and neck , medical emergency , download , covid-19 , cancer , medical physics , health care , computer science , surgery , disease , world wide web , alternative medicine , pathology , infectious disease (medical specialty) , economics , economic growth
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 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.