Information Seeking Behavior Associated with Willingness for
COVID-19 Vaccination in 60+ Estonians
Marianne Paimre
1a
and Andri Ahven
2
1
School of Digital Technologies, Tallinn University, Narva Road 29, Tallinn, Estonia
2
Criminal Policy Department, Ministry of Justice and Digital Affairs, Suur-Ameerika 1, Tallinn, Estonia
Keywords: Online Health Information-Seeking Behavior, Internet, ICT, Health Behavior, Vaccination, COVID-19, Older
Adults.
Abstract: Research consistently suggests that seeking health information (HI) online can positively impact individuals'
health behavior choices (HBC). However, the relationship between online health information-seeking
behavior (OHISB) and COVID-19 vaccination among older adults often considered a digitally underserved
group remained largely underexplored. This study contributes to bridging this gap by investigating the
OHISB of Estonians aged 60+ and its associations with HBC, including COVID-19 vaccination readiness
(CVR). Survey data from 329 respondents revealed that frequent online HI searches, along with better access
to digital devices, higher self-reported digital skills, and higher levels of education and income, were
positively associated with increased CVR. Preference for reliable HI sources, such as international
organizations and physician-curated websites, further reinforced vaccine support, while vaccine refusers
predominantly relied on alternative media. However, no clear association was found between OHISB and
other HBCs, such as healthy eating, physical activity, or drug use, suggesting the need for further investigation.
The study highlights the potential of digital technologies and online health information seeking (OHIS) among
older generations in promoting health-protective behavior during a health crisis. These findings also
underscore the critical role of promoting digital literacy and access to credible HI to enhance public health
outcomes.
1 INTRODUCTION
Online health information seeking (OHIS) is gaining
increasing popularity (Jia et al., 2021). Despite
concerns about misinformation online, it is primarily
regarded as a positive influence on health behavior
(HB), enhancing e-health awareness and enabling
more informed health decisions (Heponiemi et al.,
2022; Arthanat, 2021; Chu et al., 2021). As
individuals face increasing health challenges in later
life, OHIS has become a crucial resource for aging
populations (Jia et al., 2021; Zhao et al., 2022). The
problem is that despite the growing prevalence of
information and communication technology (ICT)
and access to online health information (OHI), many
older adults miss out on these digital advantages or
encounter barriers that can be categorized into
individual, social, and technological challenges
(Zhao et al., 2022). For instance, while nearly all
a
https://orcid.org/0000-0002-7079-6513
young individuals in Estonia utilize the internet, the
situation is considerably less favorable among older
age groups: among 55-64-year-olds, 11% do not use
the internet, and among those aged 65-74, the figure
is 30% (Statistics Estonia, 2024).
The internet's significance as an information
channel was particularly pronounced during the
COVID-19 pandemic restrictions when individuals
were compelled to forgo or reduce face-to-face
interactions and communication. Although COVID-
19 is no longer classified as a global health
emergency (WHO, 2023), the pandemic offers
valuable lessons for future preparedness, which is
also true regarding HI-seeking (Bachofner et al.,
2024; ECDC, 2023; WHO, 2021).
Older adults (60+), a highly vulnerable group,
faced more significant risks from COVID-19 and
heightened concerns about vaccine side effects,
contributing to skepticism within this demographic
Paimre, M. and Ahven, A.
Information Seeking Behavior Associated with Willingness for COVID-19 Vaccination in 60+ Estonians.
DOI: 10.5220/0013209600003938
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2025), pages 181-188
ISBN: 978-989-758-743-6; ISSN: 2184-4984
Proceedings Copyright © 2025 by SCITEPRESS Science and Technology Publications, Lda.
181
(Lampkin, 2023). Despite vaccination being the most
effective protective measure against the virus,
vaccine hesitancy emerged as a significant challenge
at the height of the pandemic, hindering efforts to
eliminate the virus (de Vries et al., 2022; Verputten et
al., 2022). With some exceptions, associations
between HI-seeking and vaccination remained
relatively unexplored during the health crisis among
the older population (e.g., Principe and Weber, 2023).
Despite the growing academic focus on OHISB
among older adults and its impact on HB, further
investigation is needed, particularly in countries with
varying levels of digital health infrastructure and
access, such as Estonia, where disparities in digital
health literacy may pose challenges.
Estonia’s advanced e-government, ranked top
three globally (UN, 2020) and 9th in the EU’s Digital
Economy and Society Index (2022) (European
Commission, 2024), contrasts with its high elderly
poverty rate 40.6% in 2021, compared to the EU
average of 16.8% (Eurostat, 2023). Exploring OHISB
among Estonian older adults is vital to inform health
communication, design digital health tools, and
prepare for future health crises.
The study aims to analyze online health
information seeking among Estonian older adults
aged 60 and above and explore its relationship to
health behavior choices, including their readiness for
COVID-19 vaccination. To guide the study, we
propose the following research questions:
1. What is the OHISB among Estonian older
adults aged 60 and above?
2. How is OHISB related to their health behavior
choices (HBC), including COVID-19 vaccination
readiness (CVR)?
The following section reviews prior research on
older adults’ OHISB and its relation to HB, followed
by details on the sample, method, results, discussion,
conclusions, and references. Abbreviations are
clarified in a table in the appendix (see Appendix).
2 LITERATURE REVIEW
This chapter reviews previous research on OHISB
among older adults, focusing on influencing factors,
the role of the COVID-19 pandemic, and OHISB’s
association with HBC.
2.1 OHISB in Older Adults
The internet is increasingly pivotal in older adults' HI-
seeking, providing accessible and convenient ways to
manage their health (Bachofner et al., 2024; Ma et al.,
2023). Older adults’ OHISB is influenced by factors
beyond socioeconomic status, including age,
education, income, technological skills, access
methods, psychological attitudes, cognitive ability,
and social networks (Bachofner et al., 2024; Enwald
et al., 2017). Younger older adults with higher
education and income levels engage more frequently,
with women seeking OHI more often than men (Choi,
2019; Enwald et al., 2017). Trust in reliable sources
and technological proficiency are critical, as
misinformation deters use (Zhao et al., 2022; Jia et
al., 2021). Chronic conditions and health awareness
also drive OHIS engagement (Ma et al., 2023;
Pourrazavi et al., 2022; Enwald et al., 2024).
Although the COVID-19 pandemic appeared to
drive digital technology use a prerequisite for OHIS
studies reveal a growing digital divide, both
generationally and within older age groups (ELSA,
2021; Martínez-Alcalá et al., 2021; Crick, 2020; van
Deursen, 2020; van Dijk, 2020). During COVID-19,
low ICT adoption left many older adults isolated from
social interaction and digital services, with those of
lower education and income particularly vulnerable
to digital exclusion, limiting access to OHI and
services (Crick, 2020; Seifert, 2020; van Deursen,
2020; van Dijk, 2020). Factors like age, loneliness,
and neighborhood deprivation hindered engagement,
while higher education and income promoted it
(Kung & Steptoe, 2023).
Statistics reveal that in Estonia, the pandemic led
to increased digital engagement among older adults.
Weekly internet use among Estonians aged 55-75
rose from 69% in 2019 to 74% by 2021 (Eurostat,
2023a). Despite growth, many older adults still face
barriers like low digital skills and limited technology
access. There is a lack of research on the OHISB of
Estonians aged 60+ during COVID-19, with most
studies focusing on welfare states and neglecting
Eastern European older adults and their HI behavior.
2.2 Associations Between OHISB and
Health Behavior
A key consideration in online HI seeking and use is
whether it facilitates improved HBC and contributes
to better health outcomes. The relationship between
OHISB and HB is multifaceted (Koh, 2023;
Dadaczynski et al., 2021). Seeking HI online has been
broadly linked to positive health outcomes, as
increased knowledge about health issues can lead to
better management of health, treatment adherence,
and preventive strategies (Allington et al., 2021;
Dadaczynski et al., 2021). This is particularly
beneficial for older adults who may experience
ICT4AWE 2025 - 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health
182
complex health needs, as OHISB offers them
opportunities to manage uncertainties and become
more proactive in their healthcare (Ausserhofer et al.,
2022).
Frequent online engagement and diverse
information sources enhance health benefits, with
regular HI seekers adopting preventive measures
more readily (Zhuang & Cobb, 2022; Chu et al.,
2021). However, limited digital literacy among older
adults can lead to misunderstandings or discourage
protective behaviors, as seen in social media-driven
vaccine hesitancy (Eriksson-Backa et al., 2018;
Zhang et al., 2024). Excessive social media use has
been linked to higher hesitancy (Moon et al., 2023),
while credible sources reduce it, as shown during the
pandemic (Principe & Weber, 2023). Disparities in
access and skills limit these benefits for older adults.
The digital divide among older adults affects
OHISB’s impact on HB, with higher education,
income, and digital skills enabling greater
engagement, better awareness of treatments, effective
risk management, and easier access to online
healthcare (van Deursen, 2020; van Dijk, 2020; Kung
& Steptoe, 2023). Misinformation on social media
and alternative platforms especially evident during
crises like COVID-19 can discourage protective HB
(Borah et al., 2022; Castellano-Tejedor et al., 2022;
Bendau et al., 2021; Figueiras et al., 2021; Cuello-
Garcia et al., 2020). Chu et al. (2021) found that
accessing diverse information sources during
COVID-19 increased engagement in protective
health behaviors among older adults.
The COVID-19 pandemic emphasized digital
information's role in preventive HBs like CVR and
the risks of misinformation (Principe & Weber, 2023;
Koh, 2023). It highlighted both the potential and
challenges of OHISB for older adults, showing the
need for credible, user-friendly online health
resources.
Considering the high value placed on digital
services in Estonia and the increasing digital
engagement among older adults, it is likely that many
were online during the COVID-19 pandemic,
searching also for HI. Based on previous studies, it
can be assumed that the HBC of those who search for
HI online differs from those who remain offline.
3 SAMPLE AND METHOD
This study relies on data from a more extensive
survey conducted among older Estonian adults by the
market research company Norstat in 2020. The
company drew a sample from a research panel of
more than 20,000 respondents, inviting them to
participate in online, telephone, and face-to-face
interviews. All people were randomly selected from
earlier surveys (primarily phone interviews) to
include sufficiently varied socio-demographic
groups. According to quotas, a representative sample
was assembled while rigorously ensuring that the
number of responses outlined in the quota was
collected from each subset (e.g., a particular age
group). Although the original sample included 500
respondents aged 50 and over, this study focuses
exclusively on people aged 60 and above.
3.1 Participants
The age group 60+ comprised 329 respondents, of
whom 155 participants were questioned online and
174 over the phone between 20 July and 3 August.
The sample is characterized by the following socio-
economic indicators in the table below (see Table 1).
Table 1: Sample Characteristics (N).
Variable Male Female Total
Nationality Estonian 82 164 246
Othe
r
39 44 83
Education Basic 8 17 25
Secondar
y
19 43 62
Vocational 42 64 106
Highe
r
52 84 136
Position at
work
Employee 8 8 16
S
p
ecialist 18 20 38
Mana
g
e
r
3 4 7
Entre
p
reneu
r
5 4 9
Pensione
r
84 168 252
Othe
r
3 4 7
Monthly
income (in
euros)
Up to 150 0 3 3
151
350 3 21 24
351
550 40 97 137
551
750 31 55 86
751
1000 14 14 28
1001
1250 9 9 18
1251
1500 8 2 10
Over 1500 4 4 8
Not known 12 3 15
3.2 Questionnaire
The entire questionnaire included 15 substantive
multiple-choice questions as well as questions
regarding the socio-demographic profile of the
respondents (gender, age, nationality, education
level, employed/unemployed) and monthly income.
The entire questionnaire can be found here.
For this article, nine questions were selected,
focusing on (O)HISB, HB, self-reported health, ICT
Information Seeking Behavior Associated with Willingness for COVID-19 Vaccination in 60+ Estonians
183
access, and willingness to adopt ICT for health
purposes. The respondents were asked to choose
between multiple-answer options for all questions.
The response options varied by question, including
yes/no choices, such as access to a digital device, and
multiple-choice selections for preferences, like
information sources. Digital competence and general
health status were rated on a 5-point Likert scale,
while the frequency of health information-seeking
was measured with four options, ranging from weekly
to infrequently. There were no open-ended questions.
3.3 Data Analysis
The data were processed mathematically and
statistically with Microsoft Excel using cross-
tabulation analysis. For all questions, the following
key (i.e., most applied) variables characterizing the
respondents were considered: gender, age, education,
and self-reported health assessment.
4 RESULTS
This chapter summarizes the study's key findings,
focusing on OHISB among Estonians aged 60 and
over and its associations with HBC.
4.1 Health Information Behavior
36% of respondents sought HI monthly, including
12% weekly or more, while 42% needed it only a few
times annually. Poorer health increased HI needs.
Family physicians and healthcare institutions were
the primary sources for 75%, followed by the internet
(48%), print media (38%), television/radio (32%),
and friends/family (27%). Respondents mainly
searched for HI on specific illnesses (65%) and
disease prevention (45%). Medication information
was sought by 29%, health data via the national portal
by 22%, and 12% had other purposes.
Among those with access to a computer or smart
device (70%, n=231), 16% reported never searching
for HI online. In contrast, nearly a quarter (23%) had
done so within the past seven days, and 29% had
searched for HI online within six months or less
frequently. For internet users, essential sources of HI
online included random sources that appear at the top
of search results from Google or other engines (45%).
Specialized health and disease-related portals and
websites were used by 38%. A third (33%)
highlighted professional journalism, such as online
news outlets and their health sections. Other sources
were mentioned less frequently. Nearly one-fifth
(19%) cited Wikipedia. In comparison, 14%
mentioned scientific databases, open-access websites
offering scientific information, and forums and
discussion groups where people share experiences
with doctors and illnesses. Social media platforms
(Facebook, Twitter, YouTube, etc.) were mentioned
by 11%. Only 10% referred to the websites of
international organizations, government agencies,
and official institutions, while 15% selected “other.”
The issues highlighted included the inability to
determine whether the information found could be
trusted (37%). A third (32%) had difficulties selecting
relevant information. However, the majority (45%)
did not experience any problems.
Education level played a role: 64% of men with
higher education searched for HI online during the
last month, compared to 44% with lower education.
Among women, 57% with higher education sought
HI, versus 54% without a university degree.
4.2 HBC and Links with OHISB
Among all respondents, 64% (n=209) reported
walking or cycling, while 29% mentioned swimming
or going to the gym. Other forms of physical activity,
such as gardening, were reported by 66%.
Additionally, 61% tried maintaining a healthy diet,
which rose to 72% among internet users. Meanwhile,
21% stated they consumed fatty or sugary foods, with
internet users reporting this significantly less often at
14%. Approximately 28% of respondents reported a
predominantly sedentary lifestyle, with internet users
sitting more (61%).
Regarding vaccination, 54% expressed
willingness, 29% were unsure, and 16% were
unwilling. Men (65%) were more willing to vaccinate
than women (48%), with older men (71%) being the
most likely. Older women were less likely, with only
46% of those aged 70+ agreeing. Higher education
and income correlated with greater willingness, with
65% of higher-educated respondents supporting
vaccination, compared to 28% with primary
education, where opposition was 44%.
Individuals with computer access were more
likely to receive the vaccine (60%) than those without
access (42%). Of those for whom the internet was an
essential source of HI, 63% were willing to get
vaccinated, 27% hesitated, and 10% opposed
vaccination. Respondents who more frequently
experienced the need for HI exhibited a greater
willingness to vaccinate – 61% among those who felt
this need at least weekly compared to 48% among
those who felt it only a few times per quarter.
Individuals who had searched for HI online within the
ICT4AWE 2025 - 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health
184
past month demonstrated a higher willingness to get
vaccinated (69%) than those who reported not
seeking HI online (39%).
Health-related digital applications and services
were more appealing to those interested in
vaccination. Only 5% of vaccine refusers were
interested in such applications, compared to 90% of
vaccine acceptors. Likewise, 64% of those interested
in vaccination considered it essential to communicate
with a doctor remotely (via a computer or smart
device) during the pandemic. In comparison, the
figure for those who refused was only 7%. The digital
competence category presented no significant
variations. However, those who had never used a
computer were likelier to refuse vaccination (35%) –
conversely, only 7% of those who rated their
computer skills as excellent refused.
For vaccine supporters, professional press (73%),
specific health-related websites created by healthcare
professionals (69%), websites of international
organizations and government agencies (67%), as
well as research databases (61%) were significantly
more important compared to those uninterested in
vaccination, whose corresponding figures were 3%,
2%, 4%, and 9%, respectively. While individuals
willing to vaccinate were drawn to more reputable
and reliable information sources, their interests
extended beyond these. They frequently reported
using blogs (83%), forums, and discussion groups for
personal experiences (78%), and Wikipedia (77%),
reflecting a diverse range of information sources. In
contrast, non-vaccinators primarily relied on
alternative medicine websites (27%), alternative
media outlets (30%), blogs (17%), videos (14%), and
social media platforms (12%).
No significant differences were observed for
OHISB and other health choices, such as healthy
eating, drug use, and exercising. Only internet users
reported a sedentary lifestyle more frequently.
The internet is a significant source of HI for
Estonians aged 60+, alongside healthcare
professionals and other sources. It is particularly
favored by more educated individuals. Those who
searched for HI online and expressed willingness to
use health-related digital applications were more
inclined toward vaccination.
5 DISCUSSION
The results of this study reveal insights into OHISB
and its relationship with health choices, particularly
with COVID-19 vaccine readiness. In the following
section, we address our research questions.
1. What is the OHISB among Estonian older
adults aged 60 and above?
As highlighted in previous studies from other
countries (Enwald et al., 2024; Chu et al., 2021; Choi,
2019; Pálsdóttir, 2012), most respondents relied on
traditional healthcare providers, such as family
physicians, as their primary source. However, the
internet also played a crucial role among 60+
Estonians, with almost half of the respondents (48%)
identifying it as a primary HI resource. Almost a
quarter (23%) of respondents with access to a
computer have searched HI online during the last
seven days. Still, 16% reported never searching for
health information online. The reasons behind this
could be explored in future studies, particularly
focusing on accessibility barriers.
For internet users, critical sources of HI online
included random sources appearing at the top of
Google or other search engine results (45%), raising
concerns about older adults' ability to assess the
quality of this information and thus highlighting
issues regarding digital literacy. Many respondents
sought information about specific illnesses,
indicating that "Dr. Google" plays a vital role as an
advisor and diagnostician, while a smaller portion
explored preventive health measures and
medications.
It seems that Estonian seniors are interested in
digital technology in the health context. Greater
emphasis should be placed on enhancing digital
skills, including the ability to discern relevant health
information and detect misinformation, while also
fostering interest among those who have not yet
adopted ICT.
2. How is OHISB related to their health HBC,
including CVR?
The data also shows that those who actively searched
for HI online, particularly within the last seven days,
were far more likely to express willingness to
vaccinate than those who rarely or never searched
online. Furthermore, individuals who received HI
both from online and traditional sources (e.g.,
doctors) were more inclined to agree to vaccination.
This is associated with the results of Chu et al. (2021),
indicating that individuals accessing information
from multiple and traditional sources demonstrated
greater adherence to protective health behaviors,
highlighting the importance of accessing information
from diverse sources during a health crisis.
Vaccine opponents were more likely to rely on
alternative media and treatment websites, which often
Information Seeking Behavior Associated with Willingness for COVID-19 Vaccination in 60+ Estonians
185
disseminate unverified or misleading information. In
contrast, vaccine supporters placed greater trust in
professional sources like international organizations,
government agencies, and doctor-created websites.
This aligns with earlier studies showing that
misinformation, primarily disseminated through
social media and alternative platforms, can hinder
protective health behaviors (e.g., Borah et al., 2022;
Castellano-Tejedor et al., 2022; Bendau et al., 2021).
This underscores the need to combat misinformation
and ensure reliable, evidence-based HI is easily
accessible.
Individuals with higher digital competence,
particularly those with advanced computer skills,
were more willing to vaccinate. This suggests that
improving digital literacy could be vital in increasing
vaccine uptake as digital tools become more
prominent in HI dissemination. Moreover, digital
services, such as remote doctor communication, were
notably more appealing to those who supported
vaccination. This further emphasizes the link between
digital engagement and positive health behaviors,
suggesting that expanding access to telehealth and
other digital health services could enhance vaccine
acceptance and other health-related decisions.
However, no definitive connection was identified
between digital engagement/OHISB and behaviors
such as healthy eating, exercise, or drug use, which
warrants further investigation. A sedentary lifestyle
among internet users was an exception.
The link between OHISB and CVR could indicate
that vaccination was perceived as a critical response
to the immediate health threat of contracting the virus
during the COVID-19 pandemic, and other health
activities, such as healthy eating and exercising, were
of secondary importance in the context of the crisis.
However, this aspect still requires closer
investigation.
Individuals who are more open to technology and
innovation may also be more receptive to the
COVID-19 vaccine as a novel solution. Engagement
with OHIS, credible HI sources and health apps likely
reflects higher digital health literacy, driving
proactive health and preventive behaviors during a
crisis. However, further research is needed to explore
these associations and their underlying factors.
The study highlights key points for future research
on health information behavior and health decisions
in older adults. The small 60+ sample limits
generalizations and necessitated the use of descriptive
statistics, but findings stress the need for studies on
this group’s behavior. Conducted early in the
pandemic pre-vaccine rollout the survey reflects
that time but misses insights into vaccine hesitancy
tied to misinformation. Gender disparities also stand
out, with women showing more interest in online HI-
seeking but less vaccination willingness. Future
studies with a significantly larger sample would allow
for more detailed analysis and should address
confounding factors e.g., socioeconomic status,
social circles, and biases – to deepen understanding.
6 CONCLUSIONS
This study underscores the vital role of the internet in
obtaining HI among 60+ people living in Estonians,
in a country where digital technologies hold great
potential to facilitate aging. People who were more
willing to vaccinate were often not only better
educated but also more interested in digital
technologies and frequent seekers of HI online. This
provides a basis for further exploration of the
connections between tech-savviness and health-
related choices.
People with higher CVR had a wide selection of
OHI sources, preferring reliable ones, highlighting
the importance of access to multiple and reliable HI
sources. Conversely, reliance on alternative media
correlated with vaccine hesitancy, reinforcing the
need to emphasize educating older adults on
identifying and relying on trustworthy health
information sources.
A strategic communication and community
engagement plan should be mindful that older adults'
frequency of seeking online HI, use of multiple and
diverse information sources, and readiness to utilize
digital technologies for health purposes may
positively correlate with their readiness for critical
decisions, such as vaccine adoption, which is
especially important during a health crisis.
Promoting digital literacy, expanding access to
trustworthy HI, and integrating digital services with
traditional healthcare are essential strategies to
improve public health outcomes, especially as digital
health continues to grow in importance.
REFERENCES
Allington, D., Duffy, B., Wessely, S., Dhavan, N., and
Rubin, J. (2021). Health-protective behaviour, social
media usage and conspiracy belief during the COVID-
19 public health emergency. Psychological Medicine,
51(10), 1763–1769. https://doi.org/10.1017/S0033291
72000224X
Arthanat, S. (2021). Promoting Information Communica-
tion Technology Adoption and Acceptance for Aging-
ICT4AWE 2025 - 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health
186
in-place: A Randomized Controlled Trial. Journal of
Applied Gerontology: The Official Journal of the
Southern Gerontological Society, 40(5), 471.
https://doi.org/10.1177/0733464819891045
Ausserhofer, D., Wiedermann, W., Becker, U., et al.
(2022). Health information-seeking behavior associated
with linguistic group membership: Latent class analysis
of a population-based cross-sectional survey in Italy,
August to September 2014. Archives of Public Health,
80, 87. https://doi.org/10.1186/s13690-022-00847-w
Bachofner, Y., Seifert, A., Sepahniya, S., and Fabian, C.
(2024). Exploring online health information seeking
and sharing among older adults: A mini-review about
acceptance, potentials, and barriers. Frontiers in Digital
Health, 6, 1336430. https://doi.org/10.3389/fdgth.20
24.1336430
Bendau, A., Plag, J., Petzold, M. B., and Ströhle, A. (2021).
COVID-19 vaccine hesitancy and related fears and
anxiety. International Immunopharmacology, 97,
107724. https://doi.org/10.1016/j.intimp.2021.107724
Borah, P., Xiao, X., and Lee, D. K. L. (2022). Narrative
messages, information seeking and covid-19 vaccine
intention: The moderating role of perceived behavioral
control. American Journal of Health Promotion, 36(6),
923–933. https://doi.org/10.1177/08901171221075019
Castellano-Tejedor, C., Torres-Serrano, M., and
Cencerrado, A. (2022). (Mis)Information, fears and
preventative health behaviours related to covid-19.
International Journal of Environmental Research and
Public Health, 19(8), 4539. https://doi.org/10.3390/ijer
ph19084539 Chang and Im, 2014
Choi, W. (2019). Older adults’ health information behavior
in everyday life settings. Library and Information
Science Research, 41(4). https://doi.org/10.1016/j.li
sr.2019.100983
Chu, L., Fung, H. H., Tse, D. C. K., Tsang, V. H. L., Zhang,
H., and Mai, C. (2021). Obtaining information from
different sources matters during the COVID-19
pandemic. The Gerontologist, 61(2), 187–195.
https://doi.org/10.1093/geront/gnaa222
Cuello-Garcia, C., Pérez-Gaxiola, G., and Van Amelsvoort,
L. (2020). Social media can have an impact on how we
manage and investigate the COVID-19 pandemic.
Journal of Clinical Epidemiology, 127, 198–201.
https://doi.org/10.1016/j.jclinepi.2020.06.028
Dadaczynski, K., Okan, O., Messer, M., Leung, A. Y. M.,
Rosário, R., Darlington, E., and Rathmann, K. (2021).
Digital health literacy and web-based information-
seeking behaviors of university students in germany
during the covid-19 pandemic: Cross-sectional survey
study. Journal of Medical Internet Research, 23(1),
e24097. https://doi.org/10.2196/24097
van Deursen, A. J. (2020). Digital inequality during a
pandemic: Quantitative study of differences in COVID-
19–related internet uses and outcomes among the general
population. Journal of Medical Internet Research, 22(8),
e20073. https://doi.org/10.2196/20073
van Dijk, J. (2020). The Digital Divide. Wiley.
ECDC. (2023). Lessons from the COVID-19 pandemic.
European Centre for Disease Prevention and Control.
Retrieved 27 October 2024. https://www.ecdc.euro
pa.eu/sites/default/files/documents/COVID-19-lessons
-learned-may-2023.pdf
ELSA. (2021). English longitudinal study of ageing. Covid-
19 substudy (Wave 1). Digital inclusion and older
people How have things changed in a Covid-19
world?
Enwald, H., Eriksson-Backa, K., Hirvonen, N., and Huvila,
I. (2024). “My personal doctor will not be replaced with
any robot service!”: Older adults’ experiences with
personal health information and eHealth services. In S.
Kurbanoğlu, S. Špiranec, Y. Ünal, J. Boustany, and D.
Kos (Eds.), Information experience and information
behaviour (pp. 145–157). Springer. https://doi.org/
10.1007/978-3-031-53001-2_13
Enwald, H., Kangas, M., Keränen, N., Immonen, M.,
Similä, H., Jämsä, T., and Korpelainen, R. (2017).
Health information behaviour, attitudes towards health
information and motivating factors for encouraging
physical activity among older people: Differences by
sex and age. Information Research, 22(1), Article
isic1623. http://www.informationr.net/ir/22-1/isic/isic
1623.htmlEriksson-Backa et al., 2018
European Commission (2024). Shaping Europe’s digital
future. DESI 2022 composite index. Retrieved 25
October 2024. https://digital-strategy.ec.europa.eu/en/
policies/desi
Eurostat. (2023). At-risk-of-poverty rate by poverty
threshold, age and sex - EU-SILC and ECHP surveys.
https://ec.europa.eu/eurostat/databrowser/view/ilc_li02
/default/table?lang=en (accessed January 17, 2023).
Eurostat. (2023a). Individuals - frequency of Internet use.
https://ec.europa.eu/eurostat/databrowser/view/tin0010
1/default/table?lang=en (accessed January 14, 2024).
Figueiras MJ, Ghorayeb J, Coutinho MVC, Marôco J,
Thomas J. (2021). Levels of Trust in Information
Sources as a Predictor of Protective Health Behaviours
During COVID-19 Pandemic: A UAE Cross-Sectional
Study. Front Psychol. 2021 Jul 21;12:633550.
Heponiemi, T., Kaihlanen, A. M., Kouvonen, A., Leemann,
L., Taipale, S., and Gluschkoff, K. (2022). The role of
age and digital competence on the use of online health
and social care services: A cross-sectional population-
based survey. Digital Health, 8, 20552076221074485.
https://doi.org/10.1177/20552076221074485
Jia, X., Pang, Y., and Liu, L. S. (2021). Online health
information seeking behavior: A systematic review.
Healthcare (Basel), 9(12), 1740. https://doi.org/10.33
90/healthcare9121740
Koh, H. (2022). Extending the purview of risk perception
attitude (RPA) framework to understand health
insurance-related information seeking as a long-term
self-protective behaviour. Journal of American College
Health, 1–11. https://doi.org/10.1080/07448481.2021.1
895807
Kung, C. S. J., and Steptoe, A. (2023). Changes in Internet
use patterns among older adults in England from before
to after the outbreak of the COVID-19 pandemic.
Scientific Reports, 13. https://doi.org/10.1038/s41598-
023-30882-8
Information Seeking Behavior Associated with Willingness for COVID-19 Vaccination in 60+ Estonians
187
Lampkin, C. L. AARP Midlife and Older Adults Vaccine
Attitudes. Washington, DC: AARP Research, March
2023. https://doi.org/10.26419/res.00604.001
Ma, X., Liu, Y., Zhang, P., Qi, R., and Meng, F. (2023).
Understanding online health information seeking
behavior of older adults: A social cognitive perspective.
Frontiers in Public Health, 11. https://doi.org/10.3389/
fpubh.2023.1147789.Malkowski et al., 2024;
Martínez-Alcalá, C.I., Rosales-Lagarde, A., Pérez-Pérez,
Y.M., Lopez-Noguerola, J.S., Bautista-Díaz, M.L., and
Agis-Juarez, R.A. (2021). The Effects of Covid-19 on
the Digital Literacy of the Elderly: Norms for Digital
Inclusion. Frontiers in Education, 6, 716025.
https://doi.org/10.3389/feduc.2021.716025
Moon, I., Han, J., and Kim, K. (2023). Determinants of
COVID-19 vaccine hesitancy: 2020 California health
interview survey. Preventive Medicine Reports, 33,
102200. https://doi.org/10.1016/j.pmedr.2023.102200
Pálsdóttir, Á. (2012). Elderly peoples’ information
behaviour: accepting support from relatives. Libri, Vol.
62 No. 2., pp. 135–144.
http://www.informationr.net/ir/13-1/paper334.html
Pourrazavi, S., Hashemiparast, M., Bazargan-Hejazi, S.,
Ullah, S., and Allahverdipour, H. (2021). Why Older
People Seek Health Information Online: A Qualitative
Study. Advances in Gerontology, 11(3), 290–297.
https://doi.org/10.1134/S2079057021030115
Principe, F., Weber, G. (2023). Online health information
seeking and Covid-19 vaccine hesitancy: Evidence
from 50+ Europeans. Health Policy, 138, 104942.
https://doi.org/10.1016/j.healthpol.2023.104942
Seifert, A. (2020). The digital exclusion of older adults
during the COVID-19 pandemic. Journal of
Gerontological Social Work, 63(6–7), 674–676.
https://doi.org/10.1080/01634372.2020.1764687
Sinha, J., and Serin, N. (2024). Online health information
seeking and preventative health actions: Cross-
generational online survey study. Journal of Medical
Internet Research, 26, e48977. https://doi.org/10.219
6/48977
Statistics Estonia (2024). Information technology in
household. IT32: computer and internet users aged 16-
74 by group of individuals. Retrieved 25 October 2024.
https://andmed.stat.ee/en/stat/majandus__infotehnoloo
gia__infotehnoloogia-leibkonnas/IT32
de Vries, H; Verputten, W., Preissner, C., and Kok, G.
(2022). COVID-19 Vaccine Hesitancy: The Role of
Information Sources and Beliefs in Dutch Adults.
International Journal of Environmental Research and
Public Health, 19(6). https://doi.org/10.3390/ijerph190
63205
World Health Organization (WHO). (2023). Statement on
the fifteenth meeting of the IHR (2005) Emergency
Committee on the COVID-19 pandemic. Retriewed 5
May 2023. https://www.who.int/news/item/05-05-20
23-statement-on-the-fifteenth-meeting-of-the-internati
onal-health-regulations-(2005)-emergency-committee-
regarding-the-coronavirus-disease-(covid-19)-pandemic
World Health Organization (WHO). (2021). Ageing and
health. World Health Organization. Retrieved 30
October 2024. Retrieved June 22, 2022
https://www.who.int/news-room/fact-
sheets/detail/ageing-and-health
Zhang, Y., Zhang, L., Guan, H., Hao, R., and Liu, W.
(2024). The impact of internet health information
seeking on COVID-19 vaccination behavior in China.
BMC Public Health 24(1), 89. https://doi.org/
10.1186/s12889-024-17638-3Zheng et al, 2022
Zhao, Y. C., Zhao, M., and Song, S. (2022). Online health
information seeking behaviors among older adults:
Systematic scoping review. Journal of Medical Internet
Research, 24(2), e34790. https://doi.org/10.2196/34790
Zhuang, J., Cobb, C. (2022). COVID-19 Vaccine-related
Information Seeking and Scanning: A Test of
Mediators between Information Acquisition and
Vaccination Intention among Unvaccinated Black
Americans. Journal of Health Communication, 27 (6),
353-361.
https://doi.org/10.1080/10810730.2022.2107739.
APPENDIX
Abbreviations:
CVR COVID-19 vaccination readiness
HB health behavio
r
HBC health behavior choices
HI health information
ICT
information and communication
technolo
gy
OHI online health information
OHIS online health information seekin
g
OHISB
online health information-seeking
b
ehavio
r
ICT4AWE 2025 - 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health
188