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Innovations in communication: the Internet and the psychology of vaccination decisions
1. Perspectives
Innovations in communication: the Internet and the
psychology of vaccination decisions
C Betsch (cornelia.betsch@uni-erfurt.de)1
1. University of Erfurt, Erfurt, Germany
Citation style for this article:
Betsch C. Innovations in communication: the Internet and the psychology of vaccination decisions.w
Euro Surveill. 2011;16(17):pii=19852. Available online: http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=19852
This article has been published on 28 April 2011
This paper provides a psychological perspective on the (MMR)-scare in the United Kingdom (UK) [5]. As a
possible effect of the Internet on the decision against consequence of suboptimal vaccination coverage the
vaccination. The reported importance of the Internet in World Health Organization (WHO) failed to reach the
health decisions is still low, but rising; especially the goal to eliminate measles until 2010; the new target is
amount of interactive use of the Internet is increasing, measles elimination by 2015.
e.g. due to the use of social media. It is argued that the
fact that individuals do not report the Internet to be an This paper takes a first step in exploring the role of the
important source of information does not necessarily Internet in influencing anti-vaccination decisions from a
mean that the information obtained in their Internet psychological perspective and examines how vaccina-
searches is not influential in their decisions. Evidence tion risk perception and decision process are affected
is summarised here regarding the (anti-)vaccination by information on the Internet. The main points were
information on the Internet, and its influence on risk also presented at the 2010 Eurovaccine conference
perceptions and on vaccination intentions and behav- [6]. From a psychological point of view it is assumed
iour in relation to the encoded information. The con- that during the pre-decisional phase of the decision
clusion suggests that scholars should strive to explain process, the problem at hand (to vaccinate or not) is
the underlying processes and potential mediators of identified and the person making the decision acquires
vaccination decisions to increase the effectiveness the necessary information, e.g. via an Internet search
of health communication. In reference to a definition (see Figure 1) [7]. In the selectional phase, potential
of evidence-based medicine, a great future challenge outcomes of the alternatives are evaluated (appraisal,
lies in evidence-based public health communication e.g. the risk of suffering from side effects after vacci-
based on interdisciplinary research involving public nation). Finally the decision is made. In the post-deci-
health, medical research, communication science and sional phase the decision needs to be implemented
psychology. and the person making the decision receives feedback
(e.g. about the actual occurrence of side effects). All
Vaccine-preventable diseases are a great challenge to information is stored in the memory and will influence
public health in the European Union (EU) [1]. Societies future decision processes. This paper focuses mainly
and public health profit from vaccinations. However, on information search, its influence on risk percep-
vaccination has become a victim of its success [2]: tions, vaccination intention and finally behaviour.
Many Europeans no longer perceive a threat from a
number of vaccine-preventable diseases, while the The Internet as a source of
risks of suffering from various side effects of vacci- health information
nations have become more central to their decision. The study ‘e-health Trends in Europe’ investigated who
Anti-vaccination arguments that question the safety of searches the Internet for health-related information,
vaccines are disseminated through various channels, how often and how. Two independent surveys, sepa-
especially the Internet [3]. A recent example is the rated by an interval of 18 months, were conducted in
quick spread on the Internet of the idea that influenza 2005 and 2007 with representative samples (N=14,956)
(H1N1)2009 vaccines contain a substance that causes from seven European countries: Denmark, Germany,
the Gulf War Syndrome [4]. As a result, Europeans might Greece, Latvia, Norway, Poland, and Portugal. The
decide against receiving vaccinations for themselves or results revealed an increase in this time period from
their children. Analyses show that the decrease in vac- 42% to 52% of the population who surf the Internet for
cination rates due to anti-vaccination movements has health information [8]. There is a tendency towards a
lead to epidemic outbreaks with severe health conse- more interactive use of information especially among
quences and long-term damage to the trust in specific ‘digital natives’ (i.e. those who grew up with the
vaccinations, for instance the measles-mumps-rubella Internet). However, it is also striking that in comparison
www.eurosurveillance.org 1
2. to other available information the Internet is perceived hits [12]. Thus, the probability to find reliable infor-
to have a very low importance for health decisions; mation was relatively high. In contrast, in a different
the most important source are health professionals, analysis only 51% of the information sources that were
followed by conventional media [8]. The fact that indi- found regarding the relation between the MMR vaccine
viduals report that they do not consider the Internet and autism gave the correct answer [13]. Moreover, in a
to be an important source does not necessarily mean study in the US in 2009 analysing the first 10 hits that
that the information obtained in their frequent Internet parents received on Google.com for either of the three
searches does not influence their decisions. Internet search terms ‘vaccination’, ‘vaccine’, and ‘immuniza-
information may still have an influence, if rather subtle. tion OR immunisation’, 21 of the total 30 results were
Psychological research underlines that informational immunisation sites, of which five were classified as
influence on perceptions and behaviour is not always anti-vaccination; a combined sample with hits from the
conscious, consider for example accessibility effects, Canadian Google.ca returned a total of eight anti-vac-
the influence of affect, automatic information process- cination websites from the first 30 hits [3]. The number
ing, implicit learning, etc. [9]. Thus, in order to assess of anti-vaccination websites obtained varied depending
the potential influence of the Internet we need to con- on the search term: 71% of sites returned for the term
sider (i) the information obtained on the Internet, (ii) ‘vaccination’ but none of the sites found with the term
its influence on risk perceptions as predictors of vacci- ‘immunisation’ were classified anti-vaccination. The
nation behaviour [10,11] and (iii) vaccination intentions less specific the search term, the more anti-vaccination
and behaviour in relation to the processed information. web-sites can be found [14]. Recent work suggests that
the parents’ knowledge about vaccination determines
(Anti-)vaccination information the complexity of a search term [14]: the more com-
on the Internet plete (in reference to an integrated expert model) their
In general, the probability with which correct informa- knowledge was, the more complex were the search
tion about infectious disease prevention can be found terms that were proposed for an online information
on the Internet varies dramatically: In a study concen- search (e.g. MMR vaccine as opposed to vaccination).
trating on Australia, Canada, the UK and the United This means that the people with less knowledge on the
States (US), Internet searches for the term ‘hand clean- topic, who are more likely to conduct searches [14], will
ing’ during the pandemic in 2009 led to the WHO rec- do so using less complex search terms which lead to
ommendations on preventive actions in 75–80% of the more anti-vaccination websites.
Figure 1
Psychological view on a vaccination decision
• Identification of decision problem: vaccinate or not?
• Information search (e.g. on the Internet)
Pre-selectional phase
MEMORY
• Appraisal: risk perception of vaccination risk, of contracting the illness
• Decision: vaccinate yes or no
Selectional phase
• Behaviour implementation: (no) vaccination
• Experience/Feedback: e.g. of occurrence or non-occurrence
vaccine-adverse events
Post-selectional phase
2 www.eurosurveillance.org
3. In terms of page content, all eight vaccine-critical In the following, I will outline how this kind of infor-
Internet sites analysed by [3] were concerned with vac- mation influences risk perceptions and vaccination
cine safety and claim a causal relationship between intentions.
vaccinations and illnesses of unknown origin, e.g.
multiple sclerosis, autism, asthma and sudden infant Effects of the Internet on the
death syndrome. Arguments are continually repeated, perception of vaccination risks
for example: vaccines erode immunity (seven of eight), In psychological theories of preventive behaviour the
create only temporary or ineffective immunity (seven perception of risk (e.g. of a vaccine-preventable illness)
of eight), contain many ingredients and preservatives is related to the omission and commission of preventive
that will make you sick (eight of eight), overwhelm behaviour (e.g. vaccinations [11]). Numerous studies
children’s immune systems, especially when adminis- show that risk represents a general predictor of pre-
tered in combination (three of eight). At the same time, ventive health behaviour [10]. However, beliefs about
treatments superior to vaccination are promoted, e.g. the risk of the preventive action, e.g. the risk of suffer-
homeopathy (seven of eight). In addition, anti-vaccina- ing from vaccine adverse events, are rarely in the focus
tion websites are very well connected, as they all pro- of psychological research [10] and have only recently
vide links to similar sites [3]. attracted notice. An online study demonstrated that
anti-vaccination information on the Internet has a par-
A key feature on seven of the eight examined websites ticular impact on the perceived risk of vaccinating [17]:
was the inclusion of emotive appeals, such as pictures Participants were randomly assigned to real Internet
and stories of children who were supposedly harmed sites, either a Swiss vaccine-critical or a neutral con-
by vaccinations. An example for such descriptions of trol site (of the German Federal Centre for Health
personal experiences, posted on a German website, Education, BZgA). The effect of vaccine-criticism was
reads as follows: ‘My four year-old daughter received examined by assessing (via self-report measures) the
the five-in-one combination vaccine at nine months, perceived risks of vaccinating and not vaccinating as
she then had a fever for two weeks, was apathetic well as vaccination intentions before and after the
and had screaming fits, since then she has suffered information search. The results of this study show that
from atopic dermatitis and many allergies. My son is even a short search on vaccine-critical Internet sites
now four months old and I don’t know if I should get can lead to considerable changes in risk perceptions.
him vaccinated or not (...)’. Parents appear to have a After viewing the vaccine-critical site, risks of vacci-
preference for personal information when searching nating were perceived to be greater than before, while
on health related topics, i.e. information from parent the perceived risks of not vaccinating had decreased
to parent: even parents-to-be already search for such (Figure 2, [17]). Assessments of these parents’ inten-
information, mainly through internet forums (bulletin tions to have their own children receive four of the
boards) where they can post questions that are then vaccinations recommended by the German Standing
answered by other parents [15]. In this way, a commu-
nication tree is created documenting all posted ques-
tions and their subsequent answers. The information
that was found in a German content analysis of a baby Figure 2
forum in 2008 revealed that only 19% of the postings Changes in risk perceptions and vaccination intentions
dependent on search environment, Germany, September
contained scientific information while 68% had per- 2008
sonal and emotional content [15]. The above-mentioned
analysis of anti-vaccination web-sites [3] explicitly Control website (federal institution) Anti-vaccination website
excluded sources that contain large amounts of per-
sonal narrative information, e.g. news groups, forums, 0.4
and social media such as Facebook or Twitter. There
Di erence scores
is, for example, an anti-vaccination profile from New 0.2
Zealand on Facebook with nearly 14,500 people ‘liking’
the page in April 2011, which implies that 14,500 users 0
receive anti-vaccination updates, often several times a
day. Moreover, during the influenza A(H1N1) pandemic -0.2
22.5% of tweets contained personal experiences about
the illness or the vaccination [16]. Thus, past analy- -0.4
ses probably largely underestimate the availability of Risks of vaccinating
(anti-)vaccination narratives on the Internet. Risks of not vaccinating
Mean intention to vaccinate
In summary, a Google search leads to vaccine-critical The 223 participants who searched 5–10 minutes on an anti-
sites in about one of five hits on immunisation; these vaccination website (right panel) perceived a higher risk of
vaccination, a lower risk of not vaccinating, and their vaccination
sites provide an abundance of critical arguments as well intentions for four recommended vaccinations decreased compared
as emotive appeals against vaccination. Additionally, with their answers before the Internet search. The risk perception
regarding vaccination was lower among participants who searched
participation in social media or online forums grants a control site from a federal institution; None of the other answers
access to a plethora of personal narrative information. in this group changed after viewing of the control site [17].
www.eurosurveillance.org 3
4. Committee on Vaccination (STIKO) also indicated an may have a less positive or even negative impact when
effect of viewing the vaccine-critical site, as the mean used on the Internet, where they are likely to appear
intention to accept the four vaccinations decreased in the context of vaccine critical information. Thus, the
significantly. A reduction in the perceived risks of vac- effects of campaigns and appeals must be evaluated
cinating after viewing the control site indicated that in the context in which they are used. A recent study
the displayed information apparently induced trust in assessed the effect of prevention and fear appeals on
the safety of the procedure. This group did not change people who were exposed to a vaccine-critical Internet
their perception of the risks of not vaccinating. forum [20]: Vaccination intentions were lower when a
fear appeal referred to the negative consequences of
To assess long-term effects of the vaccine-critical infor- not vaccinating than when a prevention appeal encour-
mation, participants were contacted again five months aged protection against measles. Instead of increasing
after the initial study [18]: Participants (both groups) awareness about the risks associated with the illness
who had perceived higher vaccination risks after the and thereby positively affecting the intention to vacci-
initial study still perceived potential vaccination inju- nate, fear appeals had the opposite effect. Apparently,
ries to be more likely and more severe than participants study participants were unable to identify the source
who had perceived lower vaccination risks. In addition, of their negative emotions, resulting in decreased vac-
participants who had perceived greater vaccination cination intentions. The findings raise the question of
risks had repeatedly searched for vaccine-critical infor- which campaign method is appropriate in the context
mation during the five months (e.g. in discussions with of vaccine-critical information on the Internet: per-
their paediatricians or additional Internet searches ceptions of illness-related risks could be increased or
with a focus on narratives and statistics). Moreover, perceptions of vaccinations risks decreased. It is nec-
parents who perceived the risks of vaccinating to be essary to learn more about how perceptions of both of
high after the information search had their children these types of risk influence vaccination intentions to
vaccinated with fewer vaccines than recommended or make an informed campaign decision [20].
not at all in the five-month period. Conversely, children
of parents who gained the impression during the infor- When focusing on the aim of decreasing the percep-
mation search that not vaccinating leads to consider- tions of vaccination risks, one possible means could
able risk had received more vaccinations during the be to inform the public about why the typical objec-
five-month period. tions of anti-vaccination activists are false. This was
done by a collaborative Internet publication of two
The anti-vaccination websites analysed in this study German federal institutes (Robert Koch Institute, Paul
[17] contained significantly more narrative informa- Ehrlich Institute [21). In this publication, vaccination
tion than the control website. Reading narratives about risks are largely negated by explaining relationships in
vaccine-adverse events has been shown to be a critical a generally understandable manner, empirical studies
factor of the effects of Internet anti-vaccination infor- are quoted and the critical arguments invalidated to
mation. But what makes narratives so powerful? Study the greatest possible extent. The Internet allows fast
results show that personal and emotional descriptions and easy dissemination of the contents and everyone
of adverse events have an effect on readers’ emotions is free to adapt the phrasing to their needs – e.g. by
– they cause the reader to feel threatened [17,19]. This placing particular emphasis on the negation of a risk
emotion then influences perceptions of risks, which, in (e.g. to persuade consumers of the safety of a vaccine).
turn, affect vaccination intentions. The more narratives To analyse the effect of different degrees of risk nega-
of vaccine-adverse events a person reads, and the tions, two experiments used variations of the same
more emotional these are, the greater the person per- risk negations as used in the above publication [21],
ceives potential risks of vaccinating to be. Through this where single sentences within longer scientific expla-
effect on risk perceptions, such narratives can nega- nations were negating risk either in a strong or in a
tively influence vaccination intentions [19]. weak manner (e.g. ‘Specific vaccines can indeed pro-
duce illness-like symptoms; however, the complete ill-
Promoting vaccination on the Internet ness will never appear (strong) / will appear extremely
by successful communication strategies rarely (weak)’). Both studies showed that stronger
When designing e-health websites and promoting mes- risk negations paradoxically led to higher risk percep-
sages for preventive behaviour, the core-message of tions, while weaker negations led to lower risk percep-
vaccine-prevention appeals - ‘Have your child vacci- tions (unpublished data). This effect also depends on
nated!’ – can be formulated by using either a fear appeal how trustworthy the source of the information is. The
(‘Measles can lead to brain damage!’) or a prevention Internet publication that negates typical objections
appeal (‘Prevent measles!’). Given that some parents of anti-vaccination activists [21] can also be found
fear vaccinations, should fear be fought with fear? Or on the Internet sites of pharmaceutical companies.
are campaigns more successful when they build upon Pharmaceutical companies and public organisations
prevention appeals? Campaigns that are very success- are trusted to different degrees where vaccine-related
ful when used on community billboards (e.g. ‘Daniel, questions are concerned: governmental institutions
10, brain-damaged after a measles infection’, a suc- are considered to be the most and pharmaceutical
cessful campaign in a German federal state in 2009), companies the least trustworthy (unpublished data).
4 www.eurosurveillance.org
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