Evidence map›Paper›PMID 33238538›Full record

ArticleHealthcare (Basel, Switzerland)2020

The Impact of Teammates' Online Reputations on Physicians' Online Appointment Numbers: A Social Interdependency Perspective.

Jingfang Liu, Xin Zhang, Jun Kong, Liangyu Wu

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2020. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Jingfang LiuSchool of Management, Shanghai University, Shanghai 200444, China.
Xin ZhangSchool of Management, Shanghai University, Shanghai 200444, China.ORCID 0000-0001-8191-6157
Jun KongSchool of Management, Shanghai University, Shanghai 200444, China.ORCID 0000-0002-9296-176X
Liangyu WuSchool of Management, Shanghai University, Shanghai 200444, China.

Funding

Natural Science Foundation of Shanghai 19ZR1419400
6 · The paper itself

Abstract

Online medical team is an emerging online medical model in which patients can choose a doctor to register and consult. A doctor's reputation cannot be ignored. It is worth studying how that online reputation affects the focal doctor's appointment numbers on the online medical team. Based on the online reputation mechanism and social interdependence theory, this study empirically studied the impact of the focal doctor's own reputation and other teammates' reputation on his/her appointment numbers. Our data include 31,143 doctors from 6103 online expert teams of Guahao.com. The results indicate that for a leader doctor, his/her appointment numbers are not related to his/her own reputation, and there was an inverted U-shaped relationship with the ordinary doctors' reputations on the team. For an ordinary doctor, his/her appointment numbers were positively correlated with his/her own reputation and positively correlated with his/her leader's reputation and there was an inverted U-shaped relationship with the other ordinary doctors' reputations. The research showed that there is a positive spillover effect on the team leader's reputation. There are two relationships between team doctors: competition and cooperation. This study provides guidance for the leader to select team members and the ordinary doctor to select a team.

Indexed as

appointment numberscompetitioncooperationinverted U-shaped relationshipleaderonline medical teamonline reputationsocial interdependence theoryteammates

Identifiers

PMID33238538
PMCPMC7712296

What OpenQuestion holds

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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.