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

AAOS: A comparison of patient decision aids for patients with hip or knee OA

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
March 2014

AAOS: A comparison of patient decision aids for patients with hip or knee OA

Vol: 3| Issue: 3| Number:42| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

A Randomized Control Trial of Two Distinct Shared Decision Making (SDM) Aids for Hip and Knee Osteoarthritis (OA)

Contributing Authors:
J Shue R Karia DA Cardone MR Shah JD Slover

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

CONFERENCE ACE REPORTS

This ACE Report is a summary of a conference presentation or abstract. The information provided has limited the ability to provide an accurate assessment of the risk of bias or the overall quality. Please interpret the results with caution as trials may be in progress and select results may have been presented.

Synopsis

147 patients with advanced knee or hip osteoarthritis (OA) were randomized to undergo a booklet + videodisc program or a booklet-alone program, to compare these two patient decision aids with respect to patient knowledge, decision-marking participation, satisfaction, and treatment preference. Results indicated that, although both interventions had positive effects on patient knowledge and willingn...

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