Evidence map›Paper›PMID 36702692›Full record

ArticleVaccine2023

Psychological determinants of COVID-19 vaccine acceptance: A comparison between immigrants and the host population in Japan.

Yuanyuan Teng, Tomoya Hanibuchi, Masaki Machida, Tomoki Nakaya

Open access · hybridAbstract read
In one paragraph

Article in Vaccine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Yuanyuan TengCenter for Northeast Asian Studies, Tohoku University, Sendai, Japan. Electronic address: yuanyuan.teng.d7@tohoku.ac.jp.
Tomoya HanibuchiGraduate School of Environmental Studies, Tohoku University, Sendai, Japan.
Masaki MachidaDepartment of Preventive Medicine and Public Health, Tokyo Medical University, Tokyo, Japan; Department of Infection Prevention and Control, Tokyo Medical University Hospital, Tokyo, Japan.
Tomoki NakayaGraduate School of Environmental Studies, Tohoku University, Sendai, Japan.
Tohoku University · JPTokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored the differences in COVID-19 vaccination readiness based on the 7C model and its association with vaccine acceptance among foreign-born immigrants, Japan-born immigrants, and locals in Japan. A cross-sectional survey was conducted in October 2021 (n = 3,690). Our results show that COVID-19 vaccination readiness, acceptance, and their relationship differ according to migratory status and nativity. Immigrant participants reported higher general vaccination readiness and acceptability for vaccination against COVID-19 than the Japanese participants, but had lower vaccination coverage, particularly among those born in Japan. The psychological determinants of Japan-born immigrants were more similar to those of Japanese participants than those of foreign-born immigrants. The effects of confidence, complacency, and constraints on COVID-19 vaccine acceptance were strong among all three groups. However, the role of collective responsibility and conspiracy varied by migratory status. This study highlighted the importance of culturally tailored interventions in vaccine delivery to immigrants.

Indexed as

COVID-19Emigrants and ImmigrantsVaccinesCOVID-19 VaccinesCross-Sectional StudiesHumansJapanVaccinationCOVID-19 VaccinesVaccines7CCOVID-19ImmigrantsJapanNativityVaccine acceptance

Identifiers

PMID36702692
PMCPMC9868366
OpenAlexW4317738240

What OpenQuestion holds

Textmetadata
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.