Evidence map›Paper›PMID 33783364›Full record

ArticleJMIR medical informatics2021

Users' Willingness to Share Health Information in a Social Question-and-Answer Community: Cross-sectional Survey in China.

PengFei Li, Lin Xu, TingTing Tang, Xiaoqian Wu, Cheng Huang

Abstract read
In one paragraph

Article in JMIR medical informatics, 2021. 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
–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

5 citing papers in PubMed.

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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

5 authors.

PengFei LiCollege of Medical Informatics, Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0001-9935-616X
Lin XuCollege of Medical Informatics, Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-2678-0493
TingTing TangCollege of Medical Informatics, Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-1353-906X
Xiaoqian WuCollege of Medical Informatics, Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0001-6416-2445
Cheng HuangCollege of Medical Informatics, Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0001-7937-7166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial question-and-answer communities play an increasingly important role in the dissemination of health information. It is important to identify influencing factors of user willingness to share health information to improve public health literacy.

objectiveThis study explored influencing factors of social question-and-answer community users who share health information to provide reference for the construction of a high-quality health information sharing community.

methodsA cross-sectional study was conducted through snowball sampling of 185 participants who are Zhihu users in China. A structural equation analysis was used to verify the interaction and influence of the strength between variables in the model. Hierarchical regression was also used to test the mediating effect in the model.

resultsAltruism (β=.264, P<.001), intrinsic reward (β=.260, P=.03), self-efficacy (β=.468, P<.001), and community influence (β=.277, P=.003) had a positive effect on users' willingness to share health information (WSHI). By contrast, extrinsic reward (β=-0.351, P<.001) had a negative effect. Self-efficacy also had a mediating effect (β=.147, 29.15%, 0.147/0.505) between community influence and WSHI.

conclusionsThe findings suggest that users' WSHI is influenced by many factors including altruism, self-efficacy, community influence, and intrinsic reward. Improving the social atmosphere of the platform is an effective method of encouraging users to share health information.

Indexed as

health informationstructural equation modelwillingness to share informationZhihu

Identifiers

PMID33783364
PMCPMC8075348

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.