Scoring System to Triage Patients for Spine Surgery in the Setting of Limited Resources: Application to the COVID-19 Pandemic and Beyond
Journal – world Neurosurgery
Publication date – May – 2020
Authors – Daniel M Sciubba , Jeff Ehresman , Zach Pennington , Daniel Lubelski , James Feghali , Ali Bydon , Dean Chou , Benjamin D Elder , Aladine A Elsamadicy , C Rory Goodwin , Matthew L Goodwin , James Harrop , Eric O Klineberg , Ilya Laufer , Sheng-Fu L Lo , Brian J Neuman , Peter G Passias , Themistocles Protopsaltis , John H Shin , Nicholas Theodore , Timothy F Witham , Edward C Benzel
Keywords – COVID-19; medical ethics; pandemic; rationing; resource allocation; spine surgery; triage
Open access – Yes
Speciality – Neurosurgery
World region Global
Language – English
Submitted to the One Surgery Index on June 8, 2020 at 1:48 am
Background: As of May 04, 2020, the COVID-19 pandemic has affected over 3.5 million people and touched every inhabited continent. Accordingly, it has stressed health systems the world over leading to the cancellation of elective surgical cases and discussions regarding healthcare resource rationing. It is expected that rationing of surgical resources will continue even after the pandemic peak, and may recur with future pandemics, creating a need for a means of triaging emergent and elective spine surgery patients.
Methods: Using a modified Delphi technique, a cohort of 16 fellowship-trained spine surgeons from 10 academic medical centers constructed a scoring system for the triage and prioritization of emergent and elective spine surgeries. Three separate rounds of videoconferencing and written correspondence were used to reach a final scoring system. Sixteen test cases were used to optimize the scoring system so that it could categorize cases as requiring emergent, urgent, high-priority elective, or low-priority elective scheduling.
Results: The devised scoring system included 8 independent components: neurological status, underlying spine stability, presentation of a high-risk post-operative complication, patient medical comorbidities, expected hospital course, expected discharge disposition, facility resource limitations, and local disease burden. The resultant calculator was deployed as a freely-available web-based calculator (https://jhuspine3.shinyapps.io/SpineUrgencyCalculator/).
Conclusion: Here we present the first quantitative urgency scoring system for the triage and prioritizing of spine surgery cases in resource-limited settings. We believe that our scoring system, while not all-encompassing, has potential value as a guide for triaging spine surgical cases during the COVID pandemic and post-COVID period.
OSI Number – 20523
PMID – 32479913