Abstract 60: Impact of Monthly Testing and Tutorials on Accuracy and Confidence of Telestroke Nurse Recognition of Anterior Circulation Large Vessel Occlusion CT Perfusion Patterns
Introduction: A distinguishing feature of our Stroke Network is Telestroke (TS) nurses (RNs) who remotely facilitate TS evaluations. To facilitate expeditious transfer the TS RNs, need to immediately identify CT perfusion (CTP) studies demonstrating patterns consistent with internal carotid artery (ICA), middle cerebral artery (M1), and first branch of the M1 (M2) large vessel occlusion (LVO) acute ischemic strokes (AIS). Methods: We developed a 6-month series of tutorials and tests (12 CTP scans/month) for 16 TS RNs to recognize CTP patterns consistent with ICA, M1 or M2 LVO AIS. We simultaneously conducted a prospective cohort study of these nurses on the impact of these tutorials and tests. Results: TS nurses demonstrated good accuracy in detecting ICA, M1 or M2 LVO presence during the first three months of teaching (83-94% accurate).This improved to excellent during the last three months (99-100%), during which the likelihood of correctly identifying the presence of any one of these LVOs was greater than in the first three months (OR 1.99, 95% CI: 1.83-2.17, p<0.001). The probability of correctly identifying ICA or M1 occlusions was much higher than correctly identifying all other LVOs (OR 68, 95% CI: 45-102, p<0.001). The likelihood of being at a higher confidence level compared to lower confidence levels in identifying any LVOs as being ICA or M1 was higher than in identifying other LVOs (OR 2.14, 95% CI: 1.6-2.8, p<0.001), but over time confidence for determining LVO presence did not differ significantly after controlling for subject variation. Conclusion: A series of structured tutorials significantly increased the odds of TS nurses correctly identifying anterior circulation LVOs, with the benefit of these tutorials and test reviews peaking and plateauing at four months. Participating in TS nurse tutorials was associated with high odds and confidence for correctly identifying LVOs as being ICA or M1.