Evidence map›Paper›PMID 36895686›Full record

ArticleFrontiers in public health2023

How information processing and risk/benefit perception affect COVID-19 vaccination intention of users in online health communities.

Hao Liu, Liyue Gong, Cao Wang, Yunyun Gao, Yi Guo, Minhan Yi, Hao Jiang, Xusheng Wu, Dehua Hu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 8 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

9 authors at 1 institution in 1 country.

Hao LiuDepartment of Biomedical Informatics, School of Life Science, Central South University, Changsha, China.
Liyue GongDepartment of Biomedical Informatics, School of Life Science, Central South University, Changsha, China.
Cao WangDepartment of Biomedical Informatics, School of Life Science, Central South University, Changsha, China.
Yunyun GaoDepartment of Biomedical Informatics, School of Life Science, Central South University, Changsha, China.
Yi GuoDepartment of Biomedical Informatics, School of Life Science, Central South University, Changsha, China.
Minhan YiDepartment of Biomedical Informatics, School of Life Science, Central South University, Changsha, China.
Hao JiangDepartment of Biomedical Informatics, School of Life Science, Central South University, Changsha, China.
Xusheng WuShenzhen Health Development Research and Data Management Center, Shenzhen, China.
Dehua HuDepartment of Biomedical Informatics, School of Life Science, Central South University, Changsha, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the relationship among information processing, risk/benefit perception and the COVID-19 vaccination intention of OHCs users with the heuristic-systematic model (HSM). Methods: This study conducted a cross-sectional questionnaire Results: Systematic information processing positively influenced benefit perception, and heuristic information processing positively influenced risk perception. Benefit perception had a significant positive effect on users' vaccination intention. Risk perception had a negative impact on vaccination intention. Findings revealed that differences in information processing methods affect users' perceptions of risk and benefit, which decide their vaccination intention. Conclusion: Online health communities can provide more systematic cues and users should process information systematically to increase their perceived benefits, consequently increase their willingness to receive COVID-19 vaccine.

Indexed as

COVID-19COVID-19 VaccinesAdultCross-Sectional StudiesHumansIntentionPerceptionVaccinationCOVID-19 Vaccinesbenefit perceptionCOVID-19 vaccineinformation processingonline health communityrisk perception

Identifiers

PMID36895686
PMCPMC9989022
OpenAlexW4321458977

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.