Modeling optimal patient transport in a stroke network capable of remote telerobotic endovascular therapy

التفاصيل البيبلوغرافية
العنوان: Modeling optimal patient transport in a stroke network capable of remote telerobotic endovascular therapy
المؤلفون: Charles Beaman, Jessalyn K Holodinsky, Mayank Goyal, Satoshi Tateshima, Michael D Hill, Jeffrey L Saver, Noreen Kamal
المصدر: Interventional Neuroradiology. :159101992211401
بيانات النشر: SAGE Publications, 2022.
سنة النشر: 2022
مصطلحات موضوعية: General Medicine
الوصف: Background Telerobotic endovascular therapy (EVT) has the potential to decrease time to treatment and expand existing networks of care to more rural populations. It is currently unclear how its implementation would impact existing stroke networks. Methods Conditional probability models were generated to predict the probability of excellent outcome for patients with suspected large vessel occlusion (LVO). A baseline stroke network was created for California using existing intravenous thrombolysis (IVT) centers and comprehensive stroke centers (CSCs) capable of IVT and EVT. Optimal transport decisions and catchment areas were generated for the baseline model and three hypothetical scenarios through conversion of IVT centers at various distances from a CSC into centers capable of telerobotic EVT [i.e., hospitals ≥15 and Results Telerobotic EVT centers decreased median travel time for LVO patients in all three scenarios. The estimated number of robotically treated LVOs per year in Scenarios 1, 2, and 3 were 2,172, 740, and 212, respectively. Scenario 1 (15–50 miles) was the most sensitive to robotic time delay and success rate, but all three scenarios were more sensitive to decreases in procedural success rate compared to time delay. Conclusions Telerobotic EVT has the potential to improve care for stroke patients outside of major urban centers. Compared to procedural time delays in robotic EVT, a decrease in procedural success rate would not be well tolerated.
تدمد: 2385-2011
1591-0199
DOI: 10.1177/15910199221140177
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64a13cc76ff3d11d90c01a6882073d1
https://doi.org/10.1177/15910199221140177
Rights: CLOSED
رقم الانضمام: edsair.doi.dedup.....e64a13cc76ff3d11d90c01a6882073d1
قاعدة البيانات: OpenAIRE
الوصف
تدمد:23852011
15910199
DOI:10.1177/15910199221140177