Evidence map›Paper›PMID 38363744›Full record

ArticlePloS one2024

How can we promote vaccination of the mass population?-Lessons from the COVID-19 vaccination defaults.

Masaki Takebayashi, Mira Namba, Yudai Kaneda, Tatsuya Koyama, Soichiro Miyashita, Kurenai Takebayashi, Motoki Ohnishi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

7 authors at 6 institutions in 1 country.

Masaki TakebayashiGraduate School of Health Sciences, Aomori University of Health and Welfare, Aomori, Japan.
Mira NambaSchool of Medicine, Keio University, Tokyo, Japan.
Yudai KanedaSchool of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.ORCID 0000-0001-8302-9439
Tatsuya KoyamaFaculty of Human Life Sciences, Mimasaka University, Tsuyama, Okayama, Japan.
Soichiro MiyashitaAomori Prefectural Government, Aomori, Japan.
Kurenai TakebayashiOlympus Corporation, Tokyo, Japan.
Motoki OhnishiGraduate School of Health Sciences, Aomori University of Health and Welfare, Aomori, Japan.
Aomori University of Health and Welfare · JPAomori Prefectural Police · JPHokkaido University · JPKeio University · JPMimasaka University · JPOlympus (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While vaccines are pivotal in combating COVID-19, concerns about side effects and complex procedures have hindered complete vaccination. Prior studies suggest that individuals defaulted to opt-out exhibit higher COVID-19 vaccination rates compared to those in opt-in systems. However, these studies were conducted in countries with a tolerant attitude towards vaccination and default changes, targeting specific age groups, and did not address potential deterrents like the increase in cancellation rates on the day, discomfort towards changing defaults, or the possibility of the opt-out effect being a one-time occurrence. Under the hypothesis that the default nature of the COVID-19 vaccination system influences attitudes towards vaccination even in countries conservative about vaccination and default changes like in Japan, we aimed to examine the differences in the first and second dose vaccination rates, cancellation rates, and the number of complaints between the opt-in and opt-out systems for COVID-19 vaccination. An email survey was conducted in 10 cities in A Prefecture, Japan. The results showed not only higher COVID-19 vaccination rates across all comparable age groups in the opt-out group but also a notably smaller decrease in the second-dose vaccination rate compared to the opt-in group, all achieved without any complaints about the system's introduction. Consequently, it can be inferred that the potential inhibiting factors were largely overcome. Despite some limitations, such as regional specificity, the study suggests that opt-out systems might increase COVID-19 vaccination coverage without leading to significant cancellations or complaints, presenting a promising strategy to facilitate vaccination efforts.

Indexed as

COVID-19COVID-19 VaccinesHumansJapanVaccinationCOVID-19 Vaccines

Identifiers

PMID38363744
PMCPMC10871499
OpenAlexW4391878402

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.