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Development and validation of a Surgical Prioritization and Ranking Tool and Navigation Aid for Head and Neck Cancer (SPARTAN‐HN) in a scarce resource setting: Response to the COVID‐19 pandemic
Author(s) -
Almeida John R.,
Noel Christopher W.,
Forner David,
Zhang Han,
Nichols Anthony C.,
Cohen Marc A.,
Wong Richard J.,
McMullen Caitlin,
Graboyes Evan M.,
Divi Vasu,
Shuman Andrew G.,
Rosko Andrew J.,
Lewis Carol M.,
Hanna Ehab Y.,
Myers Jeffrey,
Paleri Vinidh,
Miles Brett,
Genden Eric,
Eskander Antoine,
Enepekides Danny J.,
Higgins Kevin M.,
Brown Dale,
Chepeha Douglas B.,
Witterick Ian J.,
Gullane Patrick J.,
Irish Jonathan C.,
Monteiro Eric,
Goldstein David P.,
Gilbert Ralph
Publication year - 2020
Publication title -
cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.052
H-Index - 304
eISSN - 1097-0142
pISSN - 0008-543X
DOI - 10.1002/cncr.33114
Subject(s) - triage , medicine , ranking (information retrieval) , rank correlation , delphi method , pandemic , spearman's rank correlation coefficient , covid-19 , disease , medical emergency , machine learning , artificial intelligence , computer science , infectious disease (medical specialty)
Background In the wake of the coronavirus disease 2019 (COVID‐19) pandemic, access to surgical care for patients with head and neck cancer (HNC) is limited and unpredictable. Determining which patients should be prioritized is inherently subjective and difficult to assess. The authors have proposed an algorithm to fairly and consistently triage patients and mitigate the risk of adverse outcomes. Methods Two separate expert panels, a consensus panel (11 participants) and a validation panel (15 participants), were constructed among international HNC surgeons. Using a modified Delphi process and RAND Corporation/University of California at Los Angeles methodology with 4 consensus rounds and 2 meetings, groupings of high‐priority, intermediate‐priority, and low‐priority indications for surgery were established and subdivided. A point‐based scoring algorithm was developed, the Surgical Prioritization and Ranking Tool and Navigation Aid for Head and Neck Cancer (SPARTAN‐HN). Agreement was measured during consensus and for algorithm scoring using the Krippendorff alpha. Rankings from the algorithm were compared with expert rankings of 12 case vignettes using the Spearman rank correlation coefficient. Results A total of 62 indications for surgical priority were rated. Weights for each indication ranged from −4 to +4 (scale range; −17 to 20). The response rate for the validation exercise was 100%. The SPARTAN‐HN demonstrated excellent agreement and correlation with expert rankings (Krippendorff alpha, .91 [95% CI, 0.88‐0.93]; and rho, 0.81 [95% CI, 0.45‐0.95]). Conclusions The SPARTAN‐HN surgical prioritization algorithm consistently stratifies patients requiring HNC surgical care in the COVID‐19 era. Formal evaluation and implementation are required. Lay Summary Many countries have enacted strict rules regarding the use of hospital resources during the coronavirus disease 2019 (COVID‐19) pandemic. Facing delays in surgery, patients may experience worse functional outcomes, stage migration, and eventual inoperability. Treatment prioritization tools have shown benefit in helping to triage patients equitably with minimal provider cognitive burden. The current study sought to develop what to the authors' knowledge is the first cancer–specific surgical prioritization tool for use in the COVID‐19 era, the Surgical Prioritization and Ranking Tool and Navigation Aid for Head and Neck Cancer (SPARTAN‐HN). This algorithm consistently stratifies patients requiring head and neck cancer surgery in the COVID‐19 era and provides evidence for the initial uptake of the SPARTAN‐HN.