Mayo clinic cvgr 10 21-16
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Transcript of Mayo clinic cvgr 10 21-16
©2015 MFMER | slide-1
The Value of Social Media in Academic Medicine: What are the Data?
R. Jay Widmer, MD/PhD
Off-site attendees may email comments to: [email protected]
OR use the hashtag #MayoCVGR
#Gersh
©2015 MFMER | slide-2
DISCLOSURENo relevant financial relationship(s) with industry
Presenter: R. Jay Widmer , M.D./Ph.D.
Cardiovascular Grand RoundsOctober 21, 2016
Off Label Usage: None
©2015 MFMER | slide-3
Faculty Disclosure of Commercial Interest/Off-Label Reference• Financial relationship(s) with industry:
None
• No financial relationship(s) with industry:Suraj Kapa Heidi Connolly, M.D.Charanjit S. Rihal, M.D.
©2015 MFMER | slide-4
Pre-Test Question #1The most commonly used social media site in the US among active internet users is:
20%
0%
60%
0%
20% A. TwitterB. LinkedInC. FacebookD. InstagramE. Snapchat
©2015 MFMER | slide-5
Pre-Test Question #2Among adults over the age of 65, what percentage have a social media profile:
10%
10%
30%
50%
0% A. 10%B. 20%C. 30%D. 40%E. 50%
©2015 MFMER | slide-6
Pre-Test Question #3True or false: There is an industry-standard set of hashtags (#’s) for cardiovascular disease?
33%
67% A. TrueB. False
©2015 MFMER | slide-7
Learning Objectives
• Understand the current social media tools and their use
• Identify current Mayo Clinic projects utilizing social media for health care research
• Review the publications using social media in academic medicine
• Integrate novel social media research tools into new and ongoing Mayo Clinic CV research interests
©2015 MFMER | slide-8
Current Uses and Examples of Social Media Tools in Academic Medicine
©2015 MFMER | slide-9
The Power of Networks
People Networks
Spouse/Partner
Friends
FamilyCoworkers
Health Care Provider
SourceNetworks
Books
Internet
Journals/Articles
Handouts
©2015 MFMER | slide-10
#Twitter and #Academia
©2015 MFMER | slide-15
Percentage of US Population with Social Media Profile
2008 2009 2010 2011 2012 2013 2014 2015 20160
20
40
60
80
100
24
34
4852
5662
6773
78% US Population
http://www.statista.com/statistics/273476/percentage-of-us-population-with-a-social-network-profile/ Accessed 4/2/16
©2015 MFMER | slide-17
Social Media Demographics
©2015 MFMER | slide-18
Myth: Facebook is dead
©2015 MFMER | slide-19
In Health Care: Birth of Online Diagnostics
72% of internet users sought health info online 35% of US adults are
online diagnosers
Only 41% of online diagnosers seek clinical confirmation
http://www.pewinternet.org/2013/01/15/health-online-2013/ Accessed 4/15/15
Most Common: Specific diseases/conditionsTreatments/proceduresDoctors/other health providers
One in four read about/watched someone medical experience
©2015 MFMER | slide-20
Online diagnostics for healthcare providers
http://pwchealth.com/ Accessed 10/15/16
©2015 MFMER | slide-21
Patient initiated/engaged #hcsm
©2015 MFMER | slide-23
Fellow Attitudes Regarding Social Media
Widmer, RJ, et al. Cyber and Social Networking, 2016
©2015 MFMER | slide-24
Fellow Attitudes Regarding Social Media
Widmer, RJ, et al. Cyber and Social Networking, 2016
©2015 MFMER | slide-25
CV/CVS Active Voices
©2015 MFMER | slide-26
Competitive Analysis
Account Followers FollowingTotal Tweets
Avg. Tweets
@CLEHeartLab 17.1k 14.6k 3.5k 3/day
@dukeheartfellow 2,042 26 625 rare
@emoryheart 1,955 39 255 2-3/week
@OSUcardiofellow 76 244 170 1/week
@StanfordHCM 366 307 350 rare
@UABCardiology 336 103 1,011 1/day
@MGHeartHealth 1,114 218 1,434 sporadic
@MayoClinicCV 3,554 690 4,863 3-5/day
©2015 MFMER | slide-27
Current #hcsm Projects at Mayo Clinic
©2015 MFMER | slide-28©2011 MFME
R | slide-
28
“ Active recruitment was unnecessary because 18 women had requested study information within 7 days of IRB approval ”
Mayo Clinic Proceedings, 2011
©2015 MFMER | slide-29
Burnout and Twitter
©2015 MFMER | slide-30
@MayoClinicCV
©2015 MFMER | slide-31
@MayoClinicCV
Widmer, RJ, et al. Cyber and Social Networking, 2016
©2015 MFMER | slide-32
@MayoClinicCV – Followers
• 54% male, 46% Female
• 68% within the US (predominantly MN), including dozens of states; 22% followers from countries other than UK, Canada, Mexico, Australia, and Spain
Source: https://analytics.twitter.comWidmer, RJ, et al. Cyber and Social Networking, 2016
©2015 MFMER | slide-33
@MayoClinicCV Sprinklr vs. Twitter Analytics
CategoryTwitter Analytics SprinklrTotal Per Tweet Total Per Tweet
Impressions 753,542 961 61M 35k
Engagements 10,567 13.5 2,893 1.7
Engagement Rate 10.1% NR NR NR
RTs 1,893 2.4 1,696 1.0
Replies 122 0.2 122 0.07
Favorites 1,144 1.5 1,075 0.7
Clicks 7,236 9.2 6,107 3.6
Widmer, RJ, et al. Cyber and Social Networking, 2016
©2015 MFMER | slide-35
Comparison – Original vs. Repurposed
*Reported Per Tweet RT/MT (n=703)
Original (n=1000)
P-Value
Total Engagements 0.2±0.9 2.8±9.2 <.0001*
Post Likes 0.06±0.3 1.03±0.8 <.0001*
Post Comments 0.01±0.3 0.1±0.5 <.0001*
Post Shares (RT) 0.1±0.6 1.6±5.2 <.0001*
Estimated Clicks 2.5±14.6 4.4±52.5 .34
Post Reach 1,762.5±36,919.4 59,933.0±23,822.4 <.0001*
Widmer, RJ, et al. Cyber and Social Networking, 2016
©2015 MFMER | slide-36
Comparison – Publication vs. Adjunct
Publication Adjunct Both P-ValueImpressions 160+1370 2571+6488* 566+3215 <.0001
Engagement 3.1+8.3 22.7+53.0* 5.2+15.4 <.0001
Engagement Rate .005+.01 .005+.008 .01+.01* .04
Retweet 1.1+2.4 4.0+7.5* .9+1.6 <.0001
Replies .1+0.4 .2+.5 .06+.25 .29
Favorites .5+1.3 2.1+4.4* .5+.9 <.0001
User Profile Click .2+0.8 1.9+5.1* .4+1.8 <.0001
URL Click .4+1.9 7.6+23.7* 1.7+5.8 <.0001
Detail Expansion 0.7+3.5 6.1+17.2 1.5+6.2 <.0001
Hashtag Click .02+.1 .2+.1 .06+.3 .29
Widmer, RJ, et al. Cyber and Social Networking, 2016
©2015 MFMER | slide-37
Comparison – Conferences (per tweet)Conference Internal
Conference National P-Value
Impressions 212+390 234+942 .9
Engagement 4.5+5.3 4.5+6.9 .99
Engagement Rate .01+.02 .006+.01 .06
Retweet 1.2+1.0 1.7+2.0 .2
Replies .06+.2 .08+.3 .6
Favorites .4+.6 .9+2.1 .15
User Profile Click .2+.3 .3+.9 .54
URL Click 1.9+10.3 .4+1.3 .04
Detail Expansion 2.7+11.4 0.7+2.1 .03
Hashtag Click .4+.8 .1+.5 .03
Widmer, RJ, et al. Cyber and Social Networking, 2016
©2015 MFMER | slide-38
@MayoClinicCV “Tweetations”
Widmer, RJ, et al. Cyber and Social Networking, 2016
©2015 MFMER | slide-39
“Tweetations” vs. Citations
©2015 MFMER | slide-40
“Tweetations” vs. Citations
©2015 MFMER | slide-41
“Tweetations” vs. Citations
Eysenbach, G. JMIR, 2011
©2015 MFMER | slide-42
CV Hashtag Ontology via @Symplur
©2015 MFMER | slide-43
CV Hashtag Ontology via @Symplur
©2015 MFMER | slide-45
Social Media Research and Cardiovascular DiseaseThe current landscape…
©2015 MFMER | slide-46
©2015 MFMER | slide-47
The “Intention to Tweet” Trial, AHA 2014
Fox, C, et al. Circulation, 2015
©2015 MFMER | slide-48
The “Intention to Tweet” Trial, AHA 2014
Fox, C, et al. Circulation, 2015
©2015 MFMER | slide-49
The “Intention to Tweet” Trial, AHA 2014
Fox, C, et al. Circulation, 2015
©2015 MFMER | slide-50
Mayo Clinic Proceedings and Social MediaArticles published in MCP on a per-monthly basis (3
mo)
Articles randomized 1:1 to social media strategy
for 60 days following publication (n=33)
Webpage hits and social media engagement
obtained at 60 days
Control group: non-social media
strategy (n=34)
Webpage hits and social media engagement
obtained at 60 days
©2015 MFMER | slide-51
Twitter and Cardiologists
McGinnigle, E, et al. ESC, 2016.
©2015 MFMER | slide-52
Twitter and Cardiologists - #esccongress
McGinnigle, E, et al. ESC, 2016.
©2015 MFMER | slide-53
Twitter and Cardiovascular Disease
©2015 MFMER | slide-54
JAMA Cardiology Reach
©2015 MFMER | slide-55
Twitter and Cardiovascular Disease
Sinnenberg, L, et al. JAMA Cardiol, 2016.
©2015 MFMER | slide-56
Twitter and Cardiovascular Disease
Sinnenberg, L, et al. JAMA Cardiol, 2016.
©2015 MFMER | slide-57
#hcsm Research – Oncology
Katz, MS, et al. JAMA Oncol, 2016.
©2015 MFMER | slide-58
Innovations in Healthcare Social Media (#hcsm) research (CV)
©2015 MFMER | slide-59
#ACC Temporal Social Media Involvement
SymplurSignals.com, 2016.
©2015 MFMER | slide-60
Physician vs. Patient sentiments, #ACC16
Most Frequent Words: Doctors Most Frequent Words: Patients
SymplurSignals.com, 2016.
©2015 MFMER | slide-61
#ACC16: Network Analysis by Stakeholder
SymplurSignals.com, 2016.
©2015 MFMER | slide-62
#ACC16 Sentiment Analysis
SymplurSignals.com, 2016.
©2015 MFMER | slide-63
©2015 MFMER | slide-64
Anatomy of a Tweet
• Nice review of #ClostridiumDifficile Infection http://bit.ly/1OwkVGw, via @NEJM #InfectiousDiseases
Topic curation“health subculture”
User Curation
http://www.nejm.org/doi/full/10.1056/NEJMra1403772
If you are interested in Infectious Diseases or Clostridium Difficile or if you follow the New England Journal of Medicine, here is a link to a nice review article on Clostridium difficile infectionshttp://www.nejm.org/doi/full/10.1056/NEJMra1403772
©2015 MFMER | slide-65
We ALL Tweet, and we don’t even know it…
• #Betablocker #CalciumBlocker 1st line Rx for #cvHCM symptoms squat-stand per @SteveOmmen #MayoCVBR
• #cvHCM murmur increases: #exercise, #Valsalva, squat-stand per @SteveOmmen #MayoCVBR
©2015 MFMER | slide-66
Summary/Conclusions
• Social media is a ubiquitous and pervasive tool throughout the world – why not leverage such a force?
• Currently the use in Academic Medicine is emerging, however the precise value is not well studied or quantified
• The current standards for social media research in academic medicine are weak
• Collaborations to test the hypothesis that social media is beneficial in Academic Medicine are readily available, and should be explored
©2015 MFMER | slide-67
Post Test Question #1The most commonly used social media site in the US among active internet users is:
0%
0%
100%
0%
0% A. TwitterB. LinkedInC. FacebookD. InstagramE. Snapchat
©2015 MFMER | slide-68
Post Test Question #2Among adults over the age of 65, what percentage have a social media profile:
100%
0%
0%
0%
0% A. 10%B. 20%C. 30%D. 40%E. 50%
©2015 MFMER | slide-69
Post Test Question #3True or false: There is an industry-standard set of hashtags (#’s) for cardiovascular disease?
0%100%A. True
B. False
©2015 MFMER | slide-70
Question & Answer
[email protected]@DrArgyle
• Off-site attendees may email comments to: [email protected]
OR use the hashtag #MayoCVGR