Evidence map›Paper›PMID 39066434›Full record

ArticleVaccines2024

Exploring Perceptions and Barriers: A Health Belief Model-Based Analysis of Seasonal Influenza Vaccination among High-Risk Healthcare Workers in China.

Yalan Peng, Yantong Wang, Wenzhi Huang, Ji Lin, Qinghui Zeng, Yi Chen, Fu Qiao

Abstract read
In one paragraph

Article in Vaccines, 2024. 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.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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

7 authors.

Yalan PengCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0003-1022-502X
Yantong WangDepartment of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China.
Wenzhi HuangDepartment of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China.
Ji LinDepartment of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China.
Qinghui ZengDepartment of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China.
Yi ChenDepartment of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China.
Fu QiaoDepartment of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China.

Funding

Sichuan Preventive Medicine Association HX-H2204087
6 · The paper itself

Abstract

The annual seasonal influenza vaccination rate among high-risk healthcare workers (HCWs) has fallen below expectations, underscoring the importance of exploring the impact of perception on vaccination behavior. An online survey, grounded in the Health Belief Model (HBM), was administered to high-risk healthcare workers at West China Hospital. The data analysis encompassed descriptive statistics, logistic regression for univariate analysis, and path regression for multivariate analysis. A total of 1845 healthcare workers completed the survey, with an acceptance rate of 83.90% (95% CI, 82.20-85.60%). Path analysis revealed significant correlations between vaccination acceptance and perceived susceptibility (β = 0.142), perceived benefits (β = 0.129), perceived barriers (β = 0.075), exposure to vaccination advertisements (β = 0.115), and knowledge about seasonal influenza (β = 0.051). Vaccination education efforts should prioritize elucidating the risks associated with the disease and emphasizing the benefits of vaccination. Furthermore, leveraging advertising proves to be an effective strategy for promotion.

Indexed as

Health Belief Modelhealthcare workersseasonal influenza vaccinationvaccination acceptance

Identifiers

PMID39066434
PMCPMC11281488

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.