Effective vaccine communication during the disneyland measles outbreak

被引:54
作者
Broniatowski, David A. [1 ]
Hilyard, Karen M. [2 ]
Dredze, Mark [3 ]
机构
[1] George Washington Univ, Sch Engn & Appl Sci, Dept Engn Management & Syst Engn, Washington, DC 20052 USA
[2] Univ Georgia, Coll Publ Hlth, Dept Hlth Promot & Behav, Athens, GA 30602 USA
[3] Johns Hopkins Univ, Human Language Technol Ctr Excellence, Baltimore, MD USA
关键词
Fuzzy-trace theory; Social media; Twitter; Facebook; Measles; MMR; FUZZY-TRACE THEORY; DECISION-MAKING; RISK PERCEPTION; ONLINE; STORIES; AIDS;
D O I
10.1016/j.vaccine.2016.04.044
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Vaccine refusal rates have increased in recent years, highlighting the need for effective risk communication; especially over social media. Fuzzy-trace theory predicts that individuals encode bottom-line meaning ("gist") and statistical information ("verbatim") in parallel and those articles expressing a clear gist will be most compelling. We coded news articles (n=4581) collected during the 2014-2015 Disneyland measles for content including statistics, stories, or bottom-line gists regarding vaccines and vaccine-preventable illnesses. We measured the extent to which articles were compelling by how frequently they were shared on Facebook. The most widely shared articles expressed bottom-line gists, although articles containing statistics were also more likely to be shared than articles lacking statistics. Stories had limited impact on Facebook shares. Results support Fuzzy Trace Theory's predictions regarding the distinct yet parallel impact of categorical gist and statistical verbatim information on public health communication. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3225 / 3228
页数:4
相关论文
共 19 条
[1]  
Bass P.F., 2015, Contemporary Pediatrics, V32, P20
[2]   Do personal stories make patient decision aids more effective? A critical review of theory and evidence [J].
Bekker, Hilary L. ;
Winterbottom, Anna E. ;
Butow, Phyllis ;
Dillard, Amanda J. ;
Feldman-Stewart, Deb ;
Fowler, Floyd J. ;
Jibaja-Weiss, Maria L. ;
Shaffer, Victoria A. ;
Volk, Robert J. .
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2013, 13
[3]   Effect of Narrative Reports about Vaccine Adverse Events and Bias-Awareness Disclaimers on Vaccine Decisions: A Simulation of an Online Patient Social Network [J].
Betsch, Cornelia ;
Renkewitz, Frank ;
Haase, Niels .
MEDICAL DECISION MAKING, 2013, 33 (01) :14-25
[4]   Dr. Jekyll or Mr. Hyde? (How) the Internet influences vaccination decisions: Recent evidence and tentative guidelines for online vaccine communication [J].
Betsch, Cornelia ;
Sachse, Katharina .
VACCINE, 2012, 30 (25) :3723-3726
[5]   Social Media and Organ Donor Registration: The Facebook Effect [J].
Cameron, A. M. ;
Massie, A. B. ;
Alexander, C. E. ;
Stewart, B. ;
Montgomery, R. A. ;
Benavides, N. R. ;
Fleming, G. D. ;
Segev, D. L. .
AMERICAN JOURNAL OF TRANSPLANTATION, 2013, 13 (08) :2059-2065
[6]  
Caumont A, SOCIAL MEDIA RESHAPI
[7]   What works best: Objective statistics or a personal testimonial? An assessment of the persuasive effects of different types of message evidence on risk perception [J].
de Wit, John B. F. ;
Das, Enny ;
Vet, Raymond .
HEALTH PSYCHOLOGY, 2008, 27 (01) :110-115
[8]   Responding to parental refusals of immunization of children [J].
Diekema, DS .
PEDIATRICS, 2005, 115 (05) :1428-1431
[9]   Who Gets a Teach-Back? Patient-Reported Incidence of Experiencing a Teach-Back [J].
Jager, Andrew J. ;
Wynia, Matthew K. .
JOURNAL OF HEALTH COMMUNICATION, 2012, 17 :294-302
[10]   Anti-vaccine activists, Web 2.0, and the postmodern paradigm - An overview of tactics and tropes used online by the anti-vaccination movement [J].
Kata, Anna .
VACCINE, 2012, 30 (25) :3778-3789