Evidence map›Paper›PMID 36693149›Full record

ArticleJMIR formative research2023

Understanding Drivers of Vaccine Hesitancy During the COVID-19 Pandemic Among Older Adults in Jiangsu Province, China: Cross-sectional Survey.

Liuqing Yang, Lili Ji, Qiang Wang, Guoping Yang, Shixin Xiu, Tingting Cui, Naiyang Shi, Lin Zhu, Xuepeng Xu, Hui Jin and 1 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. 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
1.4field-weighted citation impact, top 21% 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, 5 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

11 authors at 2 institutions in 1 country.

Liuqing Yang *Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0002-1752-9352
Lili Ji *Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.ORCID https://orcid.org/0000-0002-4434-2980
Qiang WangDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0002-1393-2443
Guoping YangJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.ORCID https://orcid.org/0000-0002-9980-2438
Shixin XiuDepartment of Immunization Planning, Wuxi Center for Disease Control and Prevention, Wuxi, China.ORCID https://orcid.org/0000-0003-1845-4687
Tingting CuiDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0001-8242-6045
Naiyang ShiDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0003-3232-9698
Lin ZhuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.ORCID https://orcid.org/0000-0002-2001-0148
Xuepeng XuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.ORCID https://orcid.org/0000-0002-8953-2040
Hui JinDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0003-0071-9755
Shiqi ZhenJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.ORCID https://orcid.org/0000-0001-9086-2146
Jiangsu Provincial Center for Disease Control and Prevention · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder adults are particularly at risk from infectious diseases, including serve complications, hospitalization, and death.

objectiveThis study aimed to explore the drivers of vaccine hesitancy among older adults based on the "3Cs" (confidence, complacency, and convenience) framework, where socioeconomic status and vaccination history played the role of moderators.

methodsA cross-sectional questionnaire survey was conducted in Jiangsu Province, China, between June 1 and July 20, 2021. Older adults (aged ≥60 years) were recruited using a stratified sampling method. Vaccine hesitancy was influenced by the 3Cs in the model. Socioeconomic status and vaccination history processed through the item parceling method were used to moderate associations between the 3Cs and hesitancy. Hierarchical regression analyses and structural equation modeling were used to test the validity of the new framework. We performed 5000 trials of bootstrapping to calculate the 95% CI of the pathway's coefficients.

resultsA total of 1341 older adults participated. The mean age was 71.3 (SD 5.4) years, and 44.7% (599/1341) of participants were men. Confidence (b=0.967; 95% CI 0.759-1.201; P=.002), convenience (b=0.458; 95% CI 0.333-0.590; P=.002), and less complacency (b=0.301; 95% CI 0.187-0.408; P=.002) were positively associated with less vaccine hesitancy. Socioeconomic status weakened the positive effect of low complacency (b=-0.065; P=.03) on low vaccine hesitancy. COVID-19 vaccination history negatively moderated the positive association between confidence (b=-0.071; P=.02) and lower vaccine hesitancy.

conclusionsOur study identified that confidence was the more influential dimension in reducing vaccine hesitancy among older adults. COVID-19 vaccination history, as well as confidence, had a positive association with less vaccine hesitancy and could weaken the role of confidence in vaccine hesitancy. Socioeconomic status had a substitution relationship with less complacency, which suggested a competitive positive association between them on less vaccine hesitancy.

Indexed as

3Cs modelconfidence, complacency, and convenienceCOVID-19older adultssocioeconomic statusvaccination historyvaccine hesitancy

Identifiers

PMID36693149
PMCPMC9907572
OpenAlexW4318027337

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.