Evidence map›Paper›PMID 38166817›Full record

ArticleBMC infectious diseases2024

Factors affecting subsequent dose of COVID-19 vaccine uptake based on BASNEF model among older adults.

Majid Barati, Hanieh Jormand, Salman Khazaei, Saeed Bashirian, Mohadeseh Sadri, Maryam Afshari

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Majid BaratiSocial Determinants of Health Research Center, Hamadan University of Medical Sciences and Department of Public Health, Asadabad School of Medical sciences, Asadabad, Iran, Hamadan, IR, Iran.
Hanieh JormandUrology and Nephrology Research Center, Hamadan University of Medical Sciences, Hamadan, IR, Iran. jormand69h@gmail.com.ORCID http://orcid.org/0000-0002-4582-1473
Salman KhazaeiDepartment of Epidemiology, School of Public and Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, IR, Iran.
Saeed BashirianDepartment of Public Health, School of Public Health and Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, IR, Iran.
Mohadeseh SadriIranian Research Center on Aging, University of Social Walfare and Rehablitation Sciences, Tehran, IR, Iran.
Maryam AfshariDepartment of Public Health, School of Public Health and Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, IR, Iran.

Funding

Hamadan University of Medical Sciences 140002281477
6 · The paper itself

Abstract

backgroundVaccination is a primary prevention approach to preventing disease by disconnecting the transmission chain. The current study utilized a BASNEF model framework to identify factors influencing subsequent doses of COVID-19 vaccination among older adults.

methodsThis cross-sectional study was performed in the west of Iran in May 2022. The participants were selected via multi-stage sampling. Finally, 1120 participants contributed to the present study. The questionnaire consisted of three sections: a) Socio-demographic characteristics, b) cognitive impairments tests, and c) Questionnaire about the subsequent dose of COVID-19 vaccine uptake based on the BASNEF model. Data were analyzed using the software IBM AMOS-20 and SPSS-23 via one-way analysis of variance (ANOVA) and independent sample T-tests were used, too. The significance level of statistical tests was regarded as less than 0.05.

resultsThe presented results of analyzing 50% of the variance of vaccination intention as the dependent variable (R square = 0.497) and 10% of the behavior variance as the dependent variable (R square = 0.104) can be explained based on the BASNEF model. The enabling factors (β = 0.636, p < 0.001) and the intention (β = 0.322, p < 0.001) were important factors for subsequent doses of COVID-19 vaccine uptake in older adults.

conclusionSo, planning and implementing promotional intervention programs for older people (over 65; 80), females, illiterate, widows and divorced, good economic status, and urban areas is essential. It seems that enabling factors such as free vaccinations, vaccination inaccessible places such as public social security agencies, social supports such as involvement of the government and physicians, and improving information by the medium or knowledge-sharing experience, which can be further used to enhance the acceptance of subsequent doses of COVID-19 uptake in older adults.

Indexed as

Cognitive DysfunctionCOVID-19AgedAnalysis of VarianceCOVID-19 VaccinesCross-Sectional StudiesFemaleHumansVaccinationCOVID-19 VaccinesAgingCOVID-19 vaccinesImmunosenescenceIntention

Identifiers

PMID38166817
PMCPMC10763401

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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.