Evidence map›Paper›PMID 41826471›Full record

ArticleEuropean journal of ageing2026

Internet use and COVID-19 vaccination attitudes among older adults in Switzerland during the pandemic.

Arnaud Mabillard, Clément Meier

Abstract read
In one paragraph

Article in European journal of ageing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Arnaud MabillardUniversity of Lausanne, Lausanne, Switzerland. arnaud.mabillard@outlook.com.
Clément MeierFaculty of Business and Economics (HEC), Swiss Centre of Expertise in the Social Sciences (FORS), University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the critical importance of COVID-19 vaccination for older adults, vaccine hesitancy has been observed within this population. At the same time, internet use among older adults has increased substantially, making it important to understand how digital engagement shapes access to vaccination-related information. This study examines the associations between internet usage, self-estimated level of internet knowledge, and mistrust in online information with COVID-19 vaccination uptake and hesitancy among adults aged 60 + in Switzerland during the pandemic. The analytical sample includes 986 Swiss respondents from the Survey of Health, Ageing, and Retirement in Europe (SHARE) Corona Questionnaire 2 (2021). The associations in this article were estimated using probit regressions, controlling for socio-demographic, health, and regional characteristics. The findings reveal a higher likelihood of vaccination among older adults who use the internet as a source of information on COVID-19 and related regulations. Additionally, respondents with greater confidence in their internet knowledge are more inclined to get vaccinated. Conversely, those who find it challenging to differentiate between truthful and misleading information online are less likely to choose vaccination. Our findings highlight the potentially crucial role of internet use and digital literacy in shaping COVID-19 vaccination behavior among older adults in Switzerland. Promoting digital literacy and enhancing trust in reliable online health information could be key strategies to reduce vaccination hesitancy in this population. Addressing concerns about misinformation is also essential for improving vaccination uptake.

Indexed as

COVID-19 vaccinationInternet usageOlder adultsVaccination hesitancy

Identifiers

PMID41826471
PMCPMC13100078

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.