This service exclusively searches for literature that cites resources. Please be aware that the total number of searchable documents is limited to those containing RRIDs and does not include all open-access literature.
Telemedicine contributes to initiating early intravenous recombinant tissue plasminogen activator (rt-PA) treatment for patients with acute cerebral infarction in areas without a stroke unit. However, the experience and skills of the emergency teams in the spokes to prepare patients and administer rt-PA treatment are ill-defined. Improving these skills could vastly improve management of acute stroke by telemedicine. We developed a medical simulation training model for emergency teams to perform intravenous rt-PA treatment in a telestroke system.From February 2013 to May 2015, 225 learners from 6 emergency teams included in the telestroke system "Virtuall"-in Lorrain (northeastern France)-received a standardized medical simulation training module to perform rt-PA treatment. All learners were assessed with the same pretraining and posttraining test consisting of 52 items. The percentage of right answers was determined for every learner before and after training.Median percentages of right answers were significantly higher in the posttraining test overall (82 ± 10 vs. 59 ± 13% pretraining; P < 0.001), but also in all professional subgroups: physicians (88 ± 8 vs. 67 ± 12%; P < 0.001), paramedical staff (80 ± 9 vs. 54 ± 12%; P < 0.001), nurses (80 ± 8 vs. 54 ± 12%; P < 0.001), and auxiliary nurses (76 ± 17 vs. 37 ± 15%; P = 0.002).We describe for the first time a training model for emergency teams in a telestroke system. We demonstrate significant gain in knowledge for all groups of healthcare professionals. This simulation model could be applied in any medical simulation center and form the basis of a standardized training program of spokes in a telestroke system.
Welcome to the FDI Lab - SciCrunch.org Resources search. From here you can search through a compilation of resources used by FDI Lab - SciCrunch.org and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that FDI Lab - SciCrunch.org has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on FDI Lab - SciCrunch.org then you can log in from here to get additional features in FDI Lab - SciCrunch.org such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into FDI Lab - SciCrunch.org you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter your papers by.
From here we'll present any options for the literature, such as exporting your current results.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
Year:
Count: