Evidence map›Paper›PMID 38682698›Full record

ArticleHuman vaccines & immunotherapeutics2024

Association between friends' hesitancy and personal COVID-19 vaccine hesitancy among Chinese medical staff.

Lili Huang, Weiwei Hu, Yanhong Jiang, Weiwen Hong

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Lili HuangDepartment of Emergency, Huangyan Hospital, Wenzhou Medical University, Taizhou, Zhejiang, China.
Weiwei HuDepartment of General Surgery, Taizhou First People's Hospital, Taizhou, Zhejiang, China.
Yanhong JiangDepartment of Outpatient, Taizhou First People's Hospital, Taizhou, Zhejiang, China.
Weiwen HongDepartment of Anus & Intestine Surgery, Taizhou First People's Hospital, Taizhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 vaccine hesitancy remains problematic among healthcare workers. Social network influences may shape vaccine decision-making, but few studies have examined this in this critical workforce. We assessed the relationship between friends' COVID-19 vaccination attitudes and personal hesitancy among Chinese healthcare personnel. In December 2022-January 2023, a cross-sectional online survey was conducted at a tertiary hospital in China using WeChat. Of the 1832 healthcare personnel who were invited to answer the structured questionnaire, 613 (33.5%) samples had valid data for data analysis. Logistic regression examined the association between friends' hesitancy and participants' own hesitancy, adjusting for confounders. Of 613 healthcare workers included, 266 (43.4%) were hesitant. Those with hesitant friends had 6.34 times higher adjusted odds of hesitating themselves versus those without hesitant friends (95% CI 2.97-13.52). Strong associations persisted across subgroups. Chinese healthcare workers' COVID-19 vaccination hesitancy was highly influenced by perceived friends' attitudes. Fostering pro-vaccine social norms through trusted peer networks could help promote vaccine acceptance in this critical workforce.

Indexed as

COVID-19COVID-19 VaccinesFriendsVaccination HesitancyAdultAttitude of Health PersonnelChinaCross-Sectional StudiesFemaleHealth PersonnelHumansMaleMedical StaffMiddle AgedSARS-CoV-2Surveys and QuestionnairesCOVID-19 VaccinesChinaCOVID-19medical staffsocial networksvaccine hesitancy

Identifiers

PMID38682698
PMCPMC11078117

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.