Evidence map›Paper›PMID 39434022›Full record

ArticleBMC public health2024

Internet usage time and trust in doctors: evidence from China.

Qiuming Gao, Xuechun Wang, Zhen Lin, Zangyi Liao

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 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

4 authors.

Qiuming GaoBusiness School, China University of Political Science and Law, Beijing, China.
Xuechun WangSanford School of Public Policy, Duke University, Durham, NC, USA.
Zhen LinSchool of Juris Master, China University of Political Science and Law, Beijing, China.
Zangyi LiaoSchool of Political Science and Public Administration, China University of Political Science and Law, Beijing, China. cu192043@cupl.edu.cn.

Funding

Innovative Research Projects in China University of Political Science and Law 23ZFY63001National Natural Science Foundation of China 72104249
6 · The paper itself

Abstract

backgroundThe growth of internet use has greatly impacted many societal sectors, including healthcare. However, current evidence about the relationship between internet usage time and public trust on doctors is insufficient.

objectiveTo examine the relationship between the time spent on the internet and the level of trust in doctors, and explore its mechanism.

methodsMultiple regression models are employed, utilizing a sample of 19,193 observations from the China Family Panel Studies (CFPS) in 2020. First, we regress the relative trust in doctors compared to trust in strangers on internet usage time. Subsample results across distinct population groups are explored. Second, we examine the mechanism of using the internet as an information channel through the mediation method, and further investigate the role of the internet as a communication platform by analyzing the moderation effects of socializing activity as well as social media engagement.

resultsWe find a significant negative relationship between increased internet usage time and trust in doctors. This correlation remains robust across different model specifications and variable measurements. The negative correlation is more pronounced among population groups who are elderly, male, married, with low educational levels, insured and residing in urban areas. The role of the internet as a source of information is validated as a mechanism producing the negative influence. The role of the internet as a communication platform tends to mitigate the negative consequences of internet usage, as engaging in online socializing activity can have a positive moderation effect. However, for social media engagement, its overall effect on trust in doctors is negative, potentially due to social media's dual function as a communication platform and an information source.

conclusionsAlthough individual-focused literature tends to demonstrate a positive impact of the internet on trust in doctors in China, our study, which focuses on the general public, reveals contrasting results. Our findings imply that the primary manner in which internet usage, encompassing social media usage, influences public trust in doctors is by molding a collective perception of them. Consequently, the medical community may need to take a more proactive approach in expanding online communication channels for interacting with patients and the wider public.

Indexed as

Internet UsePhysician-Patient RelationsTrustAdolescentAdultAgedChinaFemaleHumansInternetMaleMiddle AgedPhysiciansSocial MediaTime FactorsYoung AdultInternet usage timePublic trustSocial mediaTrust in doctors

Identifiers

PMID39434022
PMCPMC11492780

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.