The Prescription Opioid Epidemic: Social Media Responses to the Residents’ Perspective Article

A healthcare social media research article published in Annals of Emergency Medicine, December 31, 2015

Title
The Prescription Opioid Epidemic: Social Media Responses to the Residents’ Perspective Article
Authors (alpha)
David Juurlink, Esther K. Choo, Kevin Scott, Maryann Mazer-Amirshahi, Michelle Lin, Scott Kobner
Published
December 31, 2015
Journal
Annals of Emergency Medicine
Impact Factor
4.676
DOI
10.1016/j.annemergmed.2015.05.005
Pubmed
26169929
Altmetric
A healthcare social media research article published in Annals of Emergency Medicine, December 31, 2015

Abstract

In June 2014, Annals of Emergency Medicine collaborated with the Academic Life in Emergency Medicine (ALiEM) blog-based Web site to host an online discussion session featuring the Annals Residents' Perspective article "The Opioid Prescription Epidemic and the Role of Emergency Medicine" by Poon and Greenwood-Ericksen. This dialogue included a live videocast with the authors and other experts, a detailed discussion on the ALiEM Web site's comment section, and real-time conversations on Twitter. Engagement was tracked through various Web analytic tools, and themes were identified by content curation. The dialogue resulted in 1,262 unique page views from 433 cities in 41 countries on the ALiEM Web site, 408,498 Twitter impressions, and 168 views of the video interview with the authors. Four major themes about prescription opioids identified included the following: physician knowledge, inconsistent medical education, balance between overprescribing and effective pain management, and approaches to solutions. Free social media technologies provide a unique opportunity to engage with a diverse community of emergency medicine and non-emergency medicine clinicians, nurses, learners, and even patients. Such technologies may allow more rapid hypothesis generation for future research and more accelerated knowledge translation.


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Altmetric

The Altmetric Attention Score is based on the attention a research article gets on the internet. Each coloured thread in the circle represents a different type of online attention and the number in the centre is the Altmetric Attention Score. The score is calculated based on two main sources of online attention: social media and mainstream news media.