Reduction in Interfacility Transfer Response Time after Implementation of an AutoLaunch Protocol.

Background: Interfacility transfers (IFTs) are an essential component of healthcare systems to allow movement of patients between facilities. It is essential to limit any delays in patients receiving the care they require at the receiving facility. The primary objective of this study was to assess whether IFT response time was reduced after implementation of an AutoLaunch protocol, in which an ambulance is dispatched to the sending facility prior to acceptance of the patient by the receiving facility. The secondary objective was to describe the frequency and amount of time ambulances had to stage outside the sending facility in situations where the ambulance arrived prior to the patient being accepted by the receiving facility. Methods: This was a retrospective pre-post analysis of patients undergoing IFT for services not available at the sending facility between October 1, 2018 and September 30, 2019, with the AutoLaunch protocol being implemented on March 25, 2019. IFT response time was defined as the time the transfer request was initially made to the time the ambulance arrived at the sending facility. Dispatch call logs and transport records were analyzed before and after implementation of the AutoLaunch protocol to assess for a difference in IFT response time as well as frequency and amount of time ambulances had to stage. Results: Of 1,881 IFTs analyzed, 885 (47.0%) were completed under the traditional protocol and 996 (53.0%) were completed under the AutoLaunch protocol. The median IFT response time under the traditional protocol was 27.5 minutes (interquartile range (IQR): 17.9, 43.3), compared with 19.9 minutes (IQR: 12.8, 28.2) under the AutoLaunch protocol (p < 0.01), representing a 27.6% reduction in response time, or 7.6 minutes saved. Of the 996 AutoLaunch transfers, there were 215 incidents (21.6%) in which the IFT ambulance had to stage, and the median staging time was 10.1 minutes (IQR: 4.9, 24.2). Conclusions: Implementation of our AutoLaunch protocol resulted in a significant reduction in ambulance response time for interfacility transfers. Further studies are needed to assess whether the reduction in response time is associated with improved patient outcomes for certain conditions.

Acute Confusional Migraines: A Case Report.

Introduction: Acute confusional migraine (ACM) is a rare variant of migraine that is benign and self-resolving but difficult to diagnose. Without known causative pathophysiology and a lack of recognition in the International Classification of Headache Disorders (ICHD-3), ACM offers a puzzling clinical presentation. There currently is no standardized treatment for ACM, but with a growing anecdotal dataset there is the opportunity to formally recognize and establish protocols to improve patient care and outcomes. Case Report: A 14-year-old female presented to the emergency department (ED) with acute onset of confusion, vision changes, right-sided weakness, and dysarthria one hour prior to arrival. A stroke workup at the initial ED offered no pertinent findings. The patient was transferred to a pediatric specialty ED where all symptoms, aside from numbness and a mild headache, resolved during transfer. After administration of a migraine cocktail at the pediatric specialty ED, all remaining symptoms completely resolved. The patient was discharged home from the ED the same evening with outpatient follow-up. Conclusion: This case presents the difficulty of diagnosing and treating ACM prior to its self-resolution. It highlights the need for formal recognition of the condition by the ICHD-3. In doing so, greater recognition will promote more research, awareness, and establishment of a standardized treatment for ACM.

Reducing Door-In to Door-Out Time for Patients Receiving a Mechanical Thrombectomy Using AutoLaunch Protocol.

Background: Door-in to door-out (DIDO) time for large vessel occlusion (LVO) stroke is an emerging stroke performance measure. Initial presentation at a non-Comprehensive Stroke Center (CSC) requires a transfer process that minimizes delays. Our objective was to assess whether DIDO time for stroke patients was reduced after implementation of an AutoLaunch protocol for interfacility transfers. Methods: This was a pre-post analysis of an AutoLaunch protocol for all acute stroke patients transferred to a CSC for mechanical thrombectomy. The distribution of DIDO times between patients transferred via the AutoLaunch and traditional dispatch protocols were compared. Results: We evaluated 92 interfacility transfers, with 22 utilizing the AutoLaunch protocol and 70 utilizing traditional dispatch. Among AutoLaunch transfers, the median DIDO time was 85 minutes (IQR: 71, 133), while the median DIDO time among the traditional transfers was 109 minutes (IQR, 84, 144) (p=0.044). Conclusion: Implementation of an AutoLaunch protocol for patients with suspected LVO was associated with a reduction in DIDO time to CSCs. Further studies should evaluate patient outcomes based on transfer strategies.

Emergency Medical Services handoff of patients in cardiac arrest in the Emergency Department: A retrospective video review study of duration and details of handoff.

STUDY OBJECTIVES: We aimed to evaluate the duration and frequency of communication between EMS (Emergency Medical Services) and ED (Emergency Department) staff during handoff and the subsequent time to critical cardiac care (rhythm determination, defibrillation) using CA (cardiac arrest) video review. METHODS: A single-center retrospective study of video-recorded adult CAs between August 2020 and December 2022 was performed. Two investigators assessed the communication of 17 data points, time intervals, EMS initiation of handoff, and type of EMS agency. Median times from initiation of handoff to first ED rhythm determination and defibrillation were compared between the groups above versus below the median number of data points communicated. RESULTS: Overall, 95 handoffs were reviewed. The handoff was initiated in a median of 2 seconds (interquartile range (IQR) 0-10) after arrival. EMS initiated handoff in 65 (69.2%) patients. The median number of data points communicated was 9 and median duration was 66 seconds (IQR 50-100). Age, location of arrest, estimated down time, and medications administered were communicated > 80% of the time, initial rhythm 79%, and bystander cardiopulmonary resuscitation and witnessed arrest < 50%. The median times from initiation of handoff to first ED rhythm determination and defibrillation were 188 (IQR 106-256) and 392 (IQR 247-725) seconds, though not statistically different between handoffs with <9 vs. ≥9 data points communicated (p > 0.40). CONCLUSION: There is no standardization for handoff reports from EMS to ED staff for CA patients. Using video review, we demonstrated the variable communication during handoff. Improvements to this process could reduce the time to critical cardiac care interventions.