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10.1002/hed.26219 http://scihub22266oqcxt.onion/10.1002/hed.26219 C7267183!7267183 !32374942     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32374942 &cmd=llinks): Failed to open stream: HTTP request failed! 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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 |pdf=|usr=}}{{32374942 }} gab.com Text 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 JO: Head Neck http://www.kidney.de/pget.php?&tw=1&pmid=32374942 #FOAvip 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. Twit Text FOAVip 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 ????Head Neck http://www.kidney.de/pget.php?&tw=1&pmid=32374942 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32374942 #FOAvip English Wikipedia <ref>{{Cite pmid|32374942 }}</ref> 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 #MMPMID32374942 Paleri V ; Hardman J ; Tikka T ; Bradley P ; Pracy P ; Kerawala C Head Neck 2020[Jul]; 42 (7 ): 1674-1680 PMID32374942 show ga 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. |*Continuity of Patient Care [MESH] |*Referral and Consultation [MESH] |Betacoronavirus [MESH] |COVID-19 [MESH] |Clinical Decision-Making [MESH] |Coronavirus Infections/*epidemiology [MESH] |Evidence-Based Practice [MESH] |Head and Neck Neoplasms/*diagnosis/*epidemiology [MESH] |Humans [MESH] |Medical Oncology/methods [MESH] |Pandemics [MESH] |Pneumonia, Viral/*epidemiology [MESH] |Predictive Value of Tests [MESH] |Remote Consultation [MESH] |Risk Assessment/*methods [MESH] |SARS-CoV-2 [MESH] |Symptom Assessment [MESH] |Triage/*organization & administration [MESH]Rapid implementation of an evidence-based remote triaging system for a(epmc).pdf DeepDyve Pubget Overpricing