• Patrick R Varley, Jeffrey D Borrebach, Shipra Arya, Nader N Massarweh, Andrew L Bilderback, Mary Kay Wisniewski, Joel B Nelson, Jonas T Johnson, Jason M Johanning, and Daniel E Hall.
• Department of Surgery, University of Pittsburgh, Pittsburgh, PA.
• Ann. Surg. 2021 Dec 1; 274 (6): e1230-e1237.

ObjectiveThe goal of this project was to first address barriers to implementation of the Risk Analysis Index (RAI) within a large, multi-hospital, integrated healthcare delivery system, and to subsequently demonstrate its utility for identifying at-risk surgical patients.BackgroundPrior studies demonstrate the validity of the RAI for evaluating preoperative frailty, but they have not demonstrated the feasibility of its implementation within routine clinical practice.MethodsImplementation of the RAI as a frailty screening instrument began as a quality improvement initiative at the University of Pittsburgh Medical Center in July 2016. RAI scores were collected within a REDCap survey instrument integrated into the outpatient electronic health record and then linked to information from additional clinical datasets. NSQIP-eligible procedures were queried within 90 days following the RAI, and the association between RAI and postoperative mortality was evaluated using logistic regression and Cox proportional hazards models. Secondary outcomes such as inpatient length of stay and readmissions were also assessed.ResultsRAI assessments were completed on 36,261 unique patients presenting to surgical clinics across five hospitals from July 1 to December 31, 2016, and 8,172 of these underwent NSQIP-eligible surgical procedures. The mean RAI score was 23.6 (SD 11.2), the overall 30-day and 180-day mortality after surgery was 0.7% and 2.6%, respectively, and the median time required to collect the RAI was 33 [IQR 23-53] seconds. Overall clinic compliance with the recommendation for RAI assessment increased from 58% in the first month of the study period to 84% in the sixth and final month. RAI score was significantly associated with risk of death (HR=1.099 [95% C.I.: 1.091 - 1.106], p < 0.001). At an RAI cutoff of ≥37, the positive predictive values for 30- and 90-day readmission were 14.8% and 26.2%, respectively, and negative predictive values were 91.6% and 86.4%, respectively.ConclusionsThe RAI frailty screening tool can be efficiently implemented within multi-specialty, multi-hospital healthcare systems. In the context of our findings and given the value of the RAI in predicting adverse postoperative outcomes, health systems should consider implementing frailty screening within surgical clinics.Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.

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