Evidence map›Paper›PMID 36357271›Full record

ArticleResearch in social & administrative pharmacy : RSAP2023

Applying two behavioral theories to predict the willingness to receive COVID-19 vaccine booster in the elderly: A cross-sectional study.

Jingyu Wang, Ting Li, Jinjin Ge, Meng Zhou, Anita Nyarkoa Walker, Jiaxin Chen, Ting Zhang, Kangkang Zhang, Shuyan Gu, Hua You

Open access · greenAbstract read
In one paragraph

Article in Research in social & administrative pharmacy : RSAP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 11 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

10 authors at 4 institutions in 1 country.

Jingyu WangSchool of Public Health, Nanjing Medical University, Jiangsu, China.
Ting LiSchool of Nursing, Nanjing Medical University, Jiangsu, China; Jiangsu Province Official Hospital, Jiangsu, China.
Jinjin GeSchool of Public Health, Nanjing Medical University, Jiangsu, China.
Meng ZhouSchool of Nursing, Nanjing Medical University, Jiangsu, China.
Anita Nyarkoa WalkerSchool of Public Health, Nanjing Medical University, Jiangsu, China.
Jiaxin ChenSchool of Nursing, Nanjing Medical University, Jiangsu, China.
Ting ZhangSchool of Public Administration, Zhejiang Gongshang University, Zhejiang, China.
Kangkang ZhangSchool of Health Policy & Management, Nanjing Medical University, Jiangsu, China.
Shuyan GuCenter for Health Policy and Management Studies, School of Government, Nanjing University, Nanjing, Jiangsu, China.
Hua YouSchool of Public Health, Nanjing Medical University, Jiangsu, China; School of Nursing, Nanjing Medical University, Jiangsu, China. Electronic address: youhua98@163.com.
Nanjing Medical University · CNJiangsu Province Hospital · CNNanjing University · CNZhejiang Gongshang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 vaccination booster can effectively protect the elderly from infection while also lowering the risk of serious illness and death. However, barriers remain in willingness of the elderly to boost vaccination.

objectiveUsing the protection motivation theory (PMT) and the theory of planned behavior (TPB), to study the factors that influence willingness of the elderly to get the COVID-19 vaccine booster.

methodsThe elderly who visited three randomly selected medical institutions in Nanjing's core urban region between March and April 2022 were chosen as study participants. A face-to-face survey was conducted using purposeful sampling and a self-designed questionnaire. The questionnaire contained sociodemographic characteristics, the elderly's willingness to obtain a COVID-19 vaccine booster, and psychosocial cognitive components based on the PMT and TPB. SmartPLS 3.0 was used to conduct structural equation modeling.

results214 participants were included in the analysis. The combined model of the two behavioral theories explained the willingness to accept COVID-19 vaccine booster well with R

conclusionThe willingness of the elderly to receive the COVID-19 vaccine booster was affected by psychosocial cognitive factors. This study supports the applicability of the PMT and TPB models to interpret the willingness of the elderly in such areas.

Indexed as

COVID-19COVID-19 VaccinesAgedCross-Sectional StudiesHumansImmunization, SecondaryCOVID-19 VaccinesCOVID-19 vaccine boosterElderlyProtection motivation theoryStructural equation modelingTheory of planned behaviorVaccination willingness

Identifiers

PMID36357271
PMCPMC9632265
OpenAlexW4308486661

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.