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Acupuncture as analgesia for low back pain, ankle sprain and migraine in emergency departments: Study protocol for a randomized controlled trial

Overview of attention for article published in Trials, November 2011
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1 news outlet
blogs
1 blog
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5 X users
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2 Facebook pages

Citations

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19 Dimensions

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159 Mendeley
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1 CiteULike
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Title
Acupuncture as analgesia for low back pain, ankle sprain and migraine in emergency departments: Study protocol for a randomized controlled trial
Published in
Trials, November 2011
DOI 10.1186/1745-6215-12-241
Pubmed ID
Authors

Marc Cohen, Shefton Parker, David Taylor, De Villiers Smit, Michael Ben-Meir, Peter Cameron, Charlie Xue

Abstract

Pain is the most common reason that patients present to an emergency department (ED) and is often inadequately managed. Evidence suggests that acupuncture is effective for pain relief, yet it is rarely practiced in the ED. The current study aims to assess the efficacy of acupuncture for providing effective analgesia to patients presenting with acute low back pain, migraine and ankle sprain at the EDs of four hospitals in Melbourne, Australia.

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
Australia 1 <1%
Indonesia 1 <1%
China 1 <1%
India 1 <1%
Unknown 153 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 34 21%
Student > Master 21 13%
Researcher 15 9%
Student > Postgraduate 14 9%
Student > Doctoral Student 12 8%
Other 29 18%
Unknown 34 21%
Readers by discipline Count As %
Medicine and Dentistry 70 44%
Nursing and Health Professions 26 16%
Agricultural and Biological Sciences 4 3%
Psychology 4 3%
Immunology and Microbiology 3 2%
Other 16 10%
Unknown 36 23%