To unlock this feature and to subscribe to our weekly evidence emails, please create a FREE orthoEvidence account.

SIGNUP

Already Have an Account?

Loading...
Visit our Evidence-Based Covid-19 Website and Stay Up to Date with the latest Research.
Ace Report Cover

Care initiated by nurses inferior to physician for radial-head subluxation reduction in ED

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Author Verified
Ace Report Cover
August 2014

Care initiated by nurses inferior to physician for radial-head subluxation reduction in ED

Vol: 3| Issue: 8| Number:58| ISSN#: 2564-2537
Study Type:Therapy
OE Level Evidence:2
Journal Level of Evidence:N/A

Reduction of radial-head subluxation in children by triage nurses in the emergency department: a cluster-randomized controlled trial

CMAJ. 2014 Jun 10;186(9):E317-23. doi: 10.1503/cmaj.131101. Epub 2014 Mar 24.

Contributing Authors:
A Dixon C Clarkin N Barrowman R Correll MH Osmond AC Plint

Did you know you're eligible to earn 0.5 CME credits for reading this report? Click Here

OE EXCLUSIVE

Dr. Andrew Dixon discusses the possibility of triage nurse reduction of radial-head subluxation in children in the emergency department

Synopsis

245 children with presumed diagnosis of radial-head subluxation were treated by either triage nurses or physicians in the emergency department in this cluster-randomized controlled trail, based on day of presentation. The purpose of this study was to determine whether nurse-initiated treatment was inferior to physician-initiated treatment with respect to the success rate of reduction. Results indi...

CME Image

Did you know that you’re eligible to earn 0.5 CME credits for reading this report!

LEARN MORE

Join the Conversation

Please Login or Join to leave comments.

Learn about our AI Driven
High Impact Search Feature

High Impact Icon

Our AI driven High Impact metric calculates the impact an article will have by considering both the publishing journal and the content of the article itself. Built using the latest advances in natural language processing, OE High Impact predicts an article’s future number of citations better than impact factor alone.

Continue