Abstract 147: Reducing The Workflow Times For Reperfusion Therapy For Acute Ischemic Stroke By Using A Task Management Mobile Application For Stroke Care

Abstract

Background: Since the effectiveness of reperfusion therapy for acute ischemic stroke (AIS) is highly time-dependent, stroke centers are required to carry out quality management (QM) of AIS care and provide treatment promptly. For many hospitals, however, QM are not easy. We have developed a mobile application named Task Calc. Stroke (TCS) to support the hospital's QM while supporting the staffs task processing. This study aims to evaluate the impact of using TCS on the workflow times of reperfusion therapy and clinical outcomes. Methods: We conducted a prospective cohort study at 4 Japanese comprehensive stroke centers for 33 months from June 2018 to December 2020. Patients treated with intravenous tissue plasminogen activator (IV-t PA) / mechanical thrombectomy (MT) were enrolled. The research team visited each facility and trained how to use TCS for AIS care. Each facility begun using TCS after training. We divided the study period into three stages as follows: 1) Pre-intervention stage, 2) Training stage, and 3) Using TCS stage and examined the workflow times such as door-to-needle time (D2N) for IV-tPA and door-to-puncture time (D2P) for MT and clinical outcomes (at discharge modified Rankin Scale score (mRS)). Results: During the study period, 333 cases (165 pre-intervention stage, 80 training stage, and 88 using TCS stage) underwent reperfusion therapy, 250 received IV-tPA, and 156 received MT. For D2N, the geometric mean decreased significantly from 57.7 minutes to 51.3 minutes in the training stage compared to the pre-intervention stage (Exp (β) 0.816: 95% CI 0.691-0.963, P=0.016) and further decreased to 49.7 minutes in the using TCS stage (Exp(β) 0.759: 95% CI 0.65-0. 888, P=0.001). For D2P, it slightly increased from 91.1 to 95.8 minutes in the training stage (Exp(β) 0.939: 95%CI 0.75-01.175, P=0.578), and significantly decreased to 84.2 minutes in the using TCS stage (Exp(β) 0.675: 95%CI 0. 524-0.87, P=0.003). The severity of disability tended to decrease across the mRS range (adjusted common odds ratio, 0.49; 95% CI, 0.22-1.11; P = 0.088) in the TCS using stage. Conclusions: TCS care support hospital's QM to reduce the workflow times of reperfusion therapy and tends to improve clinical outcomes.