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

Strengthening and optimal movements for painful shoulders (STOMPS)

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Author Verified
Ace Report Cover
April 2013

Strengthening and optimal movements for painful shoulders (STOMPS)

Vol: 2| Issue: 3| Number:13| ISSN#: 2564-2537
Study Type:Therapy
OE Level Evidence:2
Journal Level of Evidence:N/A

Strengthening and optimal movements for painful shoulders (STOMPS) in chronic spinal cord injury: A randomized controlled trial

Phys Ther. 2011 Mar;91(3):305-24. Epub 2011 Feb 3

Contributing Authors:
SJ Mulroy L Thompson B Kemp PP Hatchett CJ Newsam DG Lupold LL Haubert V Eberly TT Ge SP Azen CJ Winstein J Gordon

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

OE EXCLUSIVE

Dr. Mulroy discusses strengthening and optimal movements for shoulder pain

Synopsis

80 patients with spinal cord injuries, who are wheel chair bound and suffer from shoulder pain, were randomized to either an exercise therapy and optimization training group or an attention control group. The results of this study indicate that exercise intervention and optimization training produce reductions in shoulder pain, while also providing improvements in mental health and subjective qual...

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