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PURPOSE	/	OBJECTIVE(s)	 RESULTS	
•  Social	media	connects	global	communi1es	of	
pa1ents,	health	care	providers	and	ins1tu1ons1	
•  Twi;er	is	a	highly	ac1ve	public	microblogging	
network	with	content	in	posts	up	to	280	
characters	called	“tweets”2	
•  Hashtags	are	metadata	tags	oDen	added	to	
tweets	to	allow	users	to	search	for	or	curate	
informa1on	on	certain	topics3	
•  Our	purpose:	To	characterize	the	radia1on	
oncology	Twi;er	network	to	iden1fy	the	digital	
behavior	of	healthcare	stakeholders.		
•  Hypothesis:	This	public	radia1on	oncology	
community	has	grown	and	evolved	in	the	last	
five	years	since	its	incep1on	in	2014.	
• #radonc	has	grown	rapidly	into	a	
Twi;er-based	global	online	
community	of	interest	
• Increasing	interac1ons	through	
#radonc	improves	public	access	to	
radia1on	oncology-related	
informa1on	
• More	study	is	necessary	to	
determine	if	the	community	shares	
accurate,	helpful	informa1on	
•  We	analyzed	all	public	tweets	with	hashtag	
#radonc	from	Jan	1,	2014	through	Jan	1,	2019	
using	Symplur	Signals,	a	health	care	social	
media	analy1cs	plaRorm4	
•  Metrics	related	to	ac1vity	(total	tweet	counts,	
retweets,	impressions),	content	analysis,	user	
characteris1cs,	engagement,	and	network	
analysis	obtained	February	2019	
•  Global	Twi;er	user	data	obtained	from	
sta1sta.com	
•  Data	were	summarized,	and	trends	were	
observed	
•  Study	was	IRB-exempt		
1.  Radu	G,	Solomon	M,	Gheorghe	CM,	Hos1uc	M,	Bulescu	
IA,	Purcarea	VL.	The	adapta1on	of	health	care	
marke1ng	to	the	digital	era.	Journal	of	medicine	and	
life.	2017;10(1):44-46.		
2.  Twi;er.		h;ps://about.twi;er.com/company.	Accessed	
July	1,	2019.	
3.  Katz	MS,	Anderson	PF,	Thompson	MA,	et	al.	Organizing	
Online	Health	Content:	Developing	Hashtag	Collec1ons	
for	Healthier	Internet-Based	People	and	Communi1es.	
JCO	Clinical	Cancer	Informa3cs.	2019(3):1-10.		
4.  Symplur	—	Social	Media	Analy1cs	for	Healthcare	
Insights.		h;ps://www.symplur.com.	Accessed	
February	1,	2019.		
SUMMARY	/	CONCLUSION	
MATERIAL	&	METHODS	
REFERENCES	/	ACKNOWLEDGEMENTS	
#RadOnc:	CharacterizaNon	of	the	Worldwide		
RadiaNon	Oncology	TwiSer	Network	
Arpan	V.	Prabhu	MD1,	Sushil	Beriwal	MD	MBA2,	Varun	Ayyaswami	BS3,	Richard	Simcock	MD4,	Ma;hew	S.	Katz	MD5	
	
1,	UAMS	Winthrop	P.	Rockefeller	Cancer	Ins3tute,	University	of	Arkansas	for	Medical	Sciences,	LiDle	Rock,	AR	USA	
2,	UPMC	Hillman	Cancer	Center,	University	of	PiDsburgh	School	of	Medicine,	PiDsburgh,	PA	USA	
3,	University	of	Maryland	School	of	Medicine,	Bal3more,	MD	USA	
4,	Sussex	Cancer	Centre,	Brighton,	UK	
5,	Lowell	General	Hospital,	Lowell,	MA	USA	
	
	
arpan.prabhu@gmail.com	Arpan	V.	Prabhu,	MD	
Table	1.		Annual	#radonc	tweets	and	users,	Jan	2014-Dec	2018	
@subatomicdoc	
@sushilberiwal	
@BreastDocUK	
@ArpanPrabhuMD	
@varunayyaswami	
•  Top	topics	 	2014-2016	à	journal	club,	radia1on	oncology,	and	 			
	 	radia1on	therapy																										 																																									
	2017-2018	à		radia1on	oncology,	radia1on	therapy,	and	
	 		pa1ents	
•  Top	added	hashtags	2017-2018		
•  journal	club	(#jc),		
•  specific	cancer	diagnoses	(#lcsm,	#pcsm,	#cancer)		
•  annual	mee1ng	(#ASTRO18)					
•  Network	analysis:	central	hubs	are	individuals,	advocacy	organiza1ons,	and	
provider	organiza1ons		
•  Top	25	individual	influencers	transi1oned	from	#radonc	journal	club	
par1cipants	to	the	wider	#radonc	community	online,	mostly	physicians	 Figure	2.		#radonc	Network	analysis,2014-2018	
Figure	1.	Quarterly	number	of	tweets	and	users	of	#radonc	hashtag,	2014-2018		
•  Total	of	124,228	#radonc	tweets	by		11,740	Twi;er	users,	2014-2018	
•  	284.3	million	impressions,	or	the	poten1al	views	of	these	tweets	by	users’	followers	
•  Among	#radonc	par1cipants,	the	most	common	countries	of	origin	were	the	USA,	the	
UK,	and	Spain	
•  Compound	Annual	Growth	Rate	(CAGR)	of	#radonc	users	was	61.9%/year	compared	
to	global	growth	of	all	Twi;er	users	of	6.6%/year	in	the	same	period

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#RadOnc - Worldwide Twitter Radiation Oncology Network Project - September 17, 2019

  • 1. PURPOSE / OBJECTIVE(s) RESULTS •  Social media connects global communi1es of pa1ents, health care providers and ins1tu1ons1 •  Twi;er is a highly ac1ve public microblogging network with content in posts up to 280 characters called “tweets”2 •  Hashtags are metadata tags oDen added to tweets to allow users to search for or curate informa1on on certain topics3 •  Our purpose: To characterize the radia1on oncology Twi;er network to iden1fy the digital behavior of healthcare stakeholders. •  Hypothesis: This public radia1on oncology community has grown and evolved in the last five years since its incep1on in 2014. • #radonc has grown rapidly into a Twi;er-based global online community of interest • Increasing interac1ons through #radonc improves public access to radia1on oncology-related informa1on • More study is necessary to determine if the community shares accurate, helpful informa1on •  We analyzed all public tweets with hashtag #radonc from Jan 1, 2014 through Jan 1, 2019 using Symplur Signals, a health care social media analy1cs plaRorm4 •  Metrics related to ac1vity (total tweet counts, retweets, impressions), content analysis, user characteris1cs, engagement, and network analysis obtained February 2019 •  Global Twi;er user data obtained from sta1sta.com •  Data were summarized, and trends were observed •  Study was IRB-exempt 1.  Radu G, Solomon M, Gheorghe CM, Hos1uc M, Bulescu IA, Purcarea VL. The adapta1on of health care marke1ng to the digital era. Journal of medicine and life. 2017;10(1):44-46. 2.  Twi;er. h;ps://about.twi;er.com/company. Accessed July 1, 2019. 3.  Katz MS, Anderson PF, Thompson MA, et al. Organizing Online Health Content: Developing Hashtag Collec1ons for Healthier Internet-Based People and Communi1es. JCO Clinical Cancer Informa3cs. 2019(3):1-10. 4.  Symplur — Social Media Analy1cs for Healthcare Insights. h;ps://www.symplur.com. Accessed February 1, 2019. SUMMARY / CONCLUSION MATERIAL & METHODS REFERENCES / ACKNOWLEDGEMENTS #RadOnc: CharacterizaNon of the Worldwide RadiaNon Oncology TwiSer Network Arpan V. Prabhu MD1, Sushil Beriwal MD MBA2, Varun Ayyaswami BS3, Richard Simcock MD4, Ma;hew S. Katz MD5 1, UAMS Winthrop P. Rockefeller Cancer Ins3tute, University of Arkansas for Medical Sciences, LiDle Rock, AR USA 2, UPMC Hillman Cancer Center, University of PiDsburgh School of Medicine, PiDsburgh, PA USA 3, University of Maryland School of Medicine, Bal3more, MD USA 4, Sussex Cancer Centre, Brighton, UK 5, Lowell General Hospital, Lowell, MA USA arpan.prabhu@gmail.com Arpan V. Prabhu, MD Table 1. Annual #radonc tweets and users, Jan 2014-Dec 2018 @subatomicdoc @sushilberiwal @BreastDocUK @ArpanPrabhuMD @varunayyaswami •  Top topics 2014-2016 à journal club, radia1on oncology, and radia1on therapy 2017-2018 à radia1on oncology, radia1on therapy, and pa1ents •  Top added hashtags 2017-2018 •  journal club (#jc), •  specific cancer diagnoses (#lcsm, #pcsm, #cancer) •  annual mee1ng (#ASTRO18) •  Network analysis: central hubs are individuals, advocacy organiza1ons, and provider organiza1ons •  Top 25 individual influencers transi1oned from #radonc journal club par1cipants to the wider #radonc community online, mostly physicians Figure 2. #radonc Network analysis,2014-2018 Figure 1. Quarterly number of tweets and users of #radonc hashtag, 2014-2018 •  Total of 124,228 #radonc tweets by 11,740 Twi;er users, 2014-2018 •  284.3 million impressions, or the poten1al views of these tweets by users’ followers •  Among #radonc par1cipants, the most common countries of origin were the USA, the UK, and Spain •  Compound Annual Growth Rate (CAGR) of #radonc users was 61.9%/year compared to global growth of all Twi;er users of 6.6%/year in the same period