Evidence map›Paper›PMID 35438576›Full record

ArticleJournal of primary care & community health

Predictors of Intention to Vaccinate Against COVID-19 in a Peruvian Sample.

Wilter C Morales-García, Salomón Huancahuire-Vega, Jacksaint Saintila, Mardel Morales-García, Lili Fernández-Molocho, Percy G Ruiz Mamani

Open access · goldAbstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 29 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Wilter C Morales-GarcíaUniversidad Peruana Unión, Lima, Perú.ORCID 0000-0003-1208-9121
Salomón Huancahuire-VegaUniversidad Peruana Unión, Lima, Perú.ORCID 0000-0002-4848-4767
Jacksaint SaintilaUniversidad Peruana Unión, Lima, Perú.ORCID 0000-0002-7340-7974
Mardel Morales-GarcíaUniversidad Peruana Unión, Lima, Perú.
Lili Fernández-MolochoUniversidad Peruana Unión, Lima, Perú.
Percy G Ruiz MamaniUniversidad Privada San Juan Bautista, Lima, Perú.ORCID 0000-0002-2245-9491
Universidad Peruana Unión · PEUniversidad Privada San Juan Bautista · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVaccination against COVID-19 is considered one of the most effective strategies to control this global public health crisis. However, vaccine hesitancy is one of the main threats to mitigating the pandemic. The present study aimed to identify predictors of intention to vaccinate against COVID-19 in 3 geographical regions of Peru.

methodsAn online analytical cross-sectional study was conducted. Participants were selected by non-probability convenience sampling and size was estimated using the online statistical calculator proposed by Soper. A total of 529 Peruvian nationals completed the questionnaires. Student's

resultsFace-to-face work (β = 2.037,

conclusionSeveral positive predictors of intention to vaccinate against COVID-19 have been identified. However, having a perception of a global conspiracy and practice Protestant religion are shown to be risk variables for vaccine acceptance. Therefore, there is a need to develop strategies to ensure high uptake and success of COVID-19 vaccination campaigns.

Indexed as

COVID-19VaccinesCOVID-19 VaccinesCross-Sectional StudiesHumansIntentionPeruSARS-CoV-2VaccinationCOVID-19 VaccinesVaccinesCOVID-19COVID-19 vaccinesintention to vaccinatePeruvaccination hesitancy

Identifiers

PMID35438576
PMCPMC9021466
OpenAlexW4224315059

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.