Evidence map›Paper›PMID 34934611›Full record

ReviewPreventive medicine reports2022

Multilevel determinants of COVID-19 vaccination hesitancy in the United States: A rapid systematic review.

Ying Wang, Yu Liu

Open access · goldAbstract readReview
In one paragraph

Review in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 3 pooled it
13.8field-weighted citation impact, top 1% 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

78 citing papers in PubMed, 3 syntheses or guidelines pooled it, 132 citations in OpenAlex.

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18 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Ying WangDepartment of Public Health Sciences, University of Rochester Medical Center, 265 Crittenden Blvd, BOX 420644, Rochester, NY 14642, USA.
Yu LiuDepartment of Public Health Sciences, University of Rochester Medical Center, 265 Crittenden Blvd, BOX 420644, Rochester, NY 14642, USA.
University of Rochester Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccine hesitancy is a challenge for the success and optimal implementation of COVID-19 immunization programs in the US. The objective of this study was to summarize multilevel determinants of COVID-19 vaccination intention in the US to inform future intervention opportunities. To this end, we conducted a rapid systematic review by searching published articles via PubMed published by October 5, 2021, following the PRISMA guidelines. One hundred and six articles were included. According to nationally representative studies, the overall COVID-19 acceptance rate ranges from 53.6% to 84.4%. Individual (demographics, health history, behaviors and health beliefs), interpersonal (having a close friend/family member impacted by COVID-19), healthcare and societal level factors (healthcare provider recommendations, source/credential of COVID-19 related information, and COVID-19 related conspiracy theories) all contributed to COVID-19 vaccine hesitancy in the US. This study demonstrates that the acceptance to COVID-19 vaccines is influenced by various factors, particularly the role of healthcare providers in enhancing public intent to vaccination. Potential interventions to mitigate people's concerns over the vaccines and address vaccine-related conspiracy/misinformation from social media are also critical to encourage vaccine uptake in the US.

Indexed as

COVID-19ImplementationMultilevel determinantsUnited StatesVaccine acceptanceVaccine hesitancy

Identifiers

PMID34934611
PMCPMC8675390
OpenAlexW4200396530

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.