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Jagolino‐Cole, Amanda

https://orcid.org/0000-0001-8504-6224

Mayo Clinic

The University of Texas Health Science Center at Houston

Citations 2

Telestroke Training: Considerations for Expansion of Vascular Neurology Program Requirements
Guzik, Amy , Jagolino‐Cole, Amanda , Sells, Christina Mijalski , Southerland, Andrew M. , Dumitrascu, Oana M. , Martini, Sharyl , Meyer, Brett C. , Guzik, Amy K , Jagolino-Cole, Amanda L , Mijalski Sells, Christina , Sreekrishnan, Anirudh , Martini, Sharyl R , Meyer, Brett C , Southerland, Andrew M

Stroke | October 2, 2024 | Volume: 56 | Issue: 1 | Pages: 209-218

10.1161/strokeaha.124.047826 Get It

Telemedicine for stroke (Telestroke) has been a key component to efficient, widespread acute stroke care for many years. The expansion of reimbursement through the Furthering Access to Stroke Telemedicine Act and rapid deployment of telemedicine resources during the COVID-19 public health emergency have further expanded remote care, with practitioners of varying educational backgrounds, and experience providing acute stroke care via telemedicine (Telestroke). Some Telestroke practitioners have not had fellowship-level vascular neurology training and many are without training specific to virtual modalities. While many vascular neurology fellowship programs incorporate Telestroke training into the curriculum, components of this curriculum are not consistent, extent of involvement is variable, and not all fellows receive hands-on training in remote care. Furthermore, the extent of training and evaluation of Telestroke in American Board of Psychiatry and Neurology training requirements and Accreditation Council for Graduate Medical Education assessments for vascular neurology fellowship are not standardized. We suggest that Telestroke be formally incorporated into vascular neurology fellowship curricula and provide considerations for key components of this training and metrics for evaluation.
Abstract TP78: Team-based Resident Training For Stroke Code Simulations Decreases Variations In Thrombolytic Door To Needle Times
Seol, Hyeyoung, Smith, Peri, Azher, Aidan I, Chandra, Shivika , Jagolino‐Cole, Amanda , Zha, Alicia , Keser, Zafer , Kumar, Aditya

Stroke | February 3, 2022 | Volume: 53 | Issue: Suppl_1 | Pages: No page available

10.1161/str.53.suppl_1.tp78 Get It

Introduction: Stroke code simulation training is effective at reducing door to needle times (DTNT) for tPA administration. We aimed to evaluate the effect on DTNT from simulation training specifically for Neurology residents. Method: Stroke code simulation was implemented at our comprehensive stroke center in July 2017, targeting PGY2 adult neurology residents and PGY3 pediatric neurology residents who were first responders at stroke codes during off-hours. Training was completed at the beginning of the residents’ respective training years. An interrupted time series analysis of DTNT for tPA before and after the implementation of simulation training from July 2016 to July 2019 was performed. Demographics, tPA metrics, and safety and hospital metrics were compared pre and post intervention among the residents. No other quality improvement projects targeting DTNT were implemented during this time. Results: Between July 2016 and July 2019, 305 patients received thrombolysis from a resident first responder - 118 (39%) of whom were treated pre-simulation and 187 (61.3%) treated during the simulation period. There was no significant difference in patient baseline characteristics between the two groups (Table 1). Median DTNT was 49.5 (IQR 40-71) min during the pre-simulation period and 48 (IQR 37-60) min during the post-simulation period (p= 0.04). Compared to pre-simulation, there were no months in which the median DTNT exceeded 60 min post-simulation. IQR for the DTNT appeared both clinically and statistically different. Pre and post simulation, there was no difference in incidence of symptomatic intracranial hemorrhage nor in 90-day outcomes. Conclusion: In our analysis of the effect of stroke code simulation training among neurology residents, improvement in DTNT after simulation training appears more driven by improvement in the variation in times rather than a clinically significant decrease in median times.