Evidence map›Paper›PMID 36248410›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

A Comparison Study of Doctor-Patient Internet Interactions in Traditional and Modern Medicine: Empirical Evidence from Online Healthcare Communities.

Song Cao, Xiang Gao, Shuzhen Niu, Qian Wei

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Song CaoNanyang Technological University, No. 50 Nanyang Avenue, Singapore 639798, Singapore.ORCID https://orcid.org/0000-0001-5256-2142
Xiang GaoResearch Center of Finance, Shanghai Business School, No. 2271 West Zhong Shan Road, Shanghai 200235, China.ORCID https://orcid.org/0000-0003-4914-557X
Shuzhen NiuSchool of Business, Sanda University, No. 2727 Jinhai Road, Shanghai 201209, China.ORCID https://orcid.org/0000-0002-0928-5220
Qian WeiSchool of International Economics and Trade, Guangxi University of Foreign Languages, No. 19 Wuhe Avenue, Qingxiu District, Nanning, Guangxi 530222, China.ORCID https://orcid.org/0000-0002-2755-3380

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online healthcare platforms serve not just as a medical knowledge-sharing community but also bring about effective interactions between professional physicians and patients. However, it is unclear whether online technology adoption affects such interactions in the same way between traditional Chinese medicine and modern medical departments. By utilizing a large sample of online doctor-patient interaction information from 168,870 doctor-specific interactive webpages recorded in a famous Chinese online healthcare community, this paper studies the differences between 17,513 traditional medicine doctor homepages and 151,357 others from more than 100 different specialty areas. Our chosen platform is representative since it covers about 800,000 physicians working at over 10,000 hospitals across all major provincial regions in China. We document that online medical service users tend to accept and use online health care services. However, patients seeing Chinese medicine doctors exhibit the following unique characteristics. They still prefer choosing doctors according to third-party information and may be reluctant to pay for the current online service price level. This problem is hard to overcome by the platform in the short run. Patients need a long-term process to adapt to the upgraded medical environment gradually. Therefore, establishing a personalized doctor recommendation system has become the most urgent demand presently.

Identifiers

PMID36248410
PMCPMC9568306

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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.