Evidence map›Paper›PMID 35747778›Full record

ArticleFrontiers in public health2022

Understanding the Inequality of Web Traffic and Engagement in Online Healthcare Communities.

Yuan-Teng Hsu, Ran Duan, Ya-Ling Chiu, Jying-Nan Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. 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
4.3field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Understanding Physicians' Motivation to Provide Healthcare Service Online in the Digital Age.International journal of environmental research and public health · 2022
    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

4 authors at 3 institutions in 1 country.

Yuan-Teng HsuResearch Center of Finance, Shanghai Business School, Shanghai, China.
Ran DuanSchool of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, China.
Ya-Ling ChiuCollege of International Business, Zhejiang Yuexiu University, Zhejiang, China.
Jying-Nan WangCollege of International Business, Zhejiang Yuexiu University, Zhejiang, China.
Zhejiang Yuexiu UniversityChongqing University of Posts and Telecommunications · CNShanghai Business School · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The online healthcare community (OHC) is a kind of doctor-patient communication platform, in which doctors can share medical knowledge and provide various kinds of counsel for patients. However, if the OHC's web traffic is concentrated on a small number of doctors, or if only a few doctors are actively involved in the OHC's activities, this will not be conducive to the optimal development of the OHC. This study explores this issue of inequality and makes three main innovations. First, based on data on web traffic and engagement extracted from 139,037 doctors' web pages in one popular OHC, we point out how serious the inequality phenomenon is. Second, we confirm that the Matthew effect indeed exists in this context and leads to greater inequality. Third, we demonstrate that the inequality of psychological or material rewards causes the inequality of web traffic or engagement to become worse; hence, an appropriate reward mechanism should be designed to mitigate the Matthew effect rather than enhance it. Finally, we discuss the managerial implications of these results, as well as avenues for future studies.

Indexed as

Physician-Patient RelationsPhysiciansCommunicationHumansGini indexinequalityMatthew effectonline healthcare communityreward mechanism

Identifiers

PMID35747778
PMCPMC9211752
OpenAlexW4281712837

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.