Evidence map›Paper›PMID 36688424›Full record

ArticleHuman vaccines & immunotherapeutics2023

Predicting COVID-19 vaccination uptake in Armenia using the Health Belief Model: Results from a nationwide survey.

Tsovinar Harutyunyan, Zhanna Sargsyan, Serine Sahakyan, Araz Chiloyan, Dzovinar Melkom Melkomian, Vahe Khachadourian

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Tsovinar HarutyunyanTurpanjian College of Health Sciences, American University of Armenia, Yerevan, Armenia.ORCID 0000-0001-5897-6397
Zhanna SargsyanTurpanjian College of Health Sciences, American University of Armenia, Yerevan, Armenia.ORCID 0000-0003-2381-7358
Serine SahakyanTurpanjian College of Health Sciences, American University of Armenia, Yerevan, Armenia.ORCID 0000-0001-7743-290X
Araz ChiloyanPublic Health Department, Ministry of Health, Yerevan, Armenia.ORCID 0000-0002-8529-0881
Dzovinar Melkom MelkomianTurpanjian College of Health Sciences, American University of Armenia, Yerevan, Armenia.ORCID 0000-0002-7386-3435
Vahe KhachadourianTurpanjian College of Health Sciences, American University of Armenia, Yerevan, Armenia.ORCID 0000-0002-9882-8118

Funding

Training the next generation of clinical neuroscientistsT32MH122394 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rene S. Kahn, ANTONIA S NEW · 2020 to 2026
$2.5M
NIMH NIH HHS T32 MH122394
6 · The paper itself

Abstract

Health behavior theories have been effectively used for studying populations' awareness, attitudes, and beliefs related to COVID-19 preventative behaviors. The aim of this study was to explore the factors associated with the intention to get vaccinated against COVID-19 in the Armenian population using the Health Belief Model (HBM) as a framework. We applied stratified two-stage random sampling to conduct a telephone survey of 3,483 adults in 2021. The multi-domain survey instrument included questions on socio-demographic characteristics, COVID-19-related knowledge, COVID-19 susceptibility, severity and self-efficacy beliefs, sources of information on COVID-19, COVID-19 vaccination practice, and its benefits and barriers. We performed bivariate and hierarchical multivariate regression analysis with the entry of variables in blocks. In total, about 12% of the sample (

Indexed as

COVID-19AdultArmeniaCommunicationCOVID-19 VaccinesHumansIntentionVaccinationCOVID-19 VaccinesArmeniaCOVID-19Health Belief Modelpredictors of vaccination uptakeVaccination intent

Identifiers

PMID36688424
PMCPMC9980550

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.