Abstract TP236: Eval to Groin Puncture Times: Efficiencies and Deficiencies of Live Physician vs Telemedicine Triage
Autor: | Christy Ankrom, Mahan Shahrivari, Sujan T Reddy, Muhammad Bilal Tariq, David Rosenbaum-Halevi, Sunil A Sheth, Liang Zhu, Sean I Savitz, Amrou Sarraj, Alyssa Trevino, Tzu-Ching Wu |
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Rok vydání: | 2020 |
Předmět: |
Advanced and Specialized Nursing
medicine.medical_specialty Telemedicine Groin business.industry Endovascular therapy Triage Patient care medicine.anatomical_structure Ischemic stroke Emergency medicine medicine Neurology (clinical) Cardiology and Cardiovascular Medicine business Acute ischemic stroke |
Zdroj: | Stroke. 51 |
ISSN: | 1524-4628 0039-2499 |
DOI: | 10.1161/str.51.suppl_1.tp236 |
Popis: | Introduction: Telemedicine (TM) is increasingly implemented in community hospitals acute ischemic stroke (AIS). The efficiency of TM to facilitate thrombectomy (IAT) is unknown. We addressed this question by studying our spoke hospitals which are staffed by both in-person (IP) consultation (Day: 8am-5pm) and TM (Night: 5pm-8am) to analyze differences between TM and IP and comparing to our university hub which has IP staffing day and night. Methods: We performed a retrospective analysis from 3/2016 to 3/2019 of all IAT cases directly admitted to 4 IAT capable centers (1 hub + 3 spokes) in our system. Demographic, clinical, and time metrics were analyzed. Primary outcome was door to groin (DTG) time. Continuous variables were analyzed with Wilcoxon rank sum test, and categorical variables with chi-square or Fischer’s exact test. Results: Table 1 summarizes the cohort. Eval to tPA (ETPA) time was faster at spokes vs hub (p < 0.0001), with no significant difference in DTG between spoke and hub (p= 0.444). At spokes, while DTPA times were no different between IP and TM at spokes, IP achieved faster DTG times (p Conclusions: While no difference is noted between TM and IP in rapid TPA treatment, our data show delayed DTG at spokes during the TM day and night service. While DTG in TM was prolonged, differences in spoke metrics imply that availability of staff and resources play a significant role. Further analysis is needed to identify factors that prolong DTG at a site-specific level. |
Databáze: | OpenAIRE |
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