Evidence map›Paper›PMID 39494068›Full record

ArticleFrontiers in public health2024

More knowledge, more choices? How peer recognition of physicians' knowledge sharing affect patients' consultation in online health communities.

Zhen Xu, Xiaochen Liu, Lingguang Meng, Xuanxuan Lyu

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Zhen XuSchool of Communication, East China University of Political Science and Law, Shanghai, China.
Xiaochen LiuSchool of Economics and Management, Liaoning University of Technology, Jinzhou, China.
Lingguang MengSchool of Journalism and Communication, Shanghai University, Shanghai, China.
Xuanxuan LyuInternational Relations Department, Beihang University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The advent of telemedicine has revolutionized healthcare consultations, primarily due to the digital era and global health concerns. Online healthcare communities (OHCs) have emerged as platforms for physicians to share health-related articles, promoting digital public health awareness and knowledge dissemination. The continuous dissemination of health knowledge by physicians online is considered a crucial driving force in attracting patients to seek online consultations. Methods: Based on the elaboration likelihood model and the information overload theory, this study explores how persuasive messages from other patients' peer recognition, including knowledge popularity and attractiveness, affect patients' consultation decisions. Additionally, the study examines the three-way interaction between knowledge popularity, attractiveness, and quantity in shaping patient consultations. Using data collected from 2,676 physicians on haodf.com, this study established an ordinary least squares (OLS) regression model with time and city fixed effects to test the hypothesis. Results: The results show that: (1) peer recognition (knowledge popularity and attractiveness) from other patients positively impacts patients' consultation; (2) knowledge attractiveness positively moderate the relationship between knowledge popularity and patients' consultation; (3) there is a three-way effect of knowledge popularity, knowledge attractiveness, and knowledge quantity on patients' consultation. Conclusion: Our findings offer valuable guidance for platform design and healthcare practitioners, boosting patient-physician engagement in online healthcare communities.

Indexed as

Physician-Patient RelationsPhysiciansAdultFemaleHealth Knowledge, Attitudes, PracticeHumansInformation DisseminationInternetMaleMiddle AgedPeer GroupReferral and ConsultationTelemedicineknowledge sharingonline health communicationspatient consultationpeer recognitiontelemedicine

Identifiers

PMID39494068
PMCPMC11527700

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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.