Evidence map›Paper›PMID 34259643›Full record

ArticleJournal of medical Internet research2021

Consultation Pricing of the Online Health Care Service in China: Hierarchical Linear Regression Approach.

Ya-Ling Chiu, Jying-Nan Wang, Haiyan Yu, Yuan-Teng Hsu

Abstract read
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Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

16 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.

Ya-Ling Chiu *College of International Business, Zhejiang Yuexiu University, Zhejiang, China.ORCID 0000-0001-5466-0993
Jying-Nan Wang *Shaoxing Key Laboratory of Intelligent Monitoring and Prevention of Smart City, Shaoxing, China.ORCID 0000-0002-2315-2520
Haiyan Yu *Center for Health Decision Science, Chongqing University of Posts and Telecommunications, Chongqing, China.ORCID 0000-0002-6473-8552
Yuan-Teng Hsu *Research Center of Finance, Shanghai Business School, Shanghai, China.ORCID 0000-0001-8805-3964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnline health care services are a possible solution to alleviate the lack of medical resources in rural areas, and further understanding of the related medical service pricing system would contribute to improvement of the online health care community (OHC). Although many studies have investigated the OHC, the impact of physicians' reputations and wage levels on consulting prices in the OHC has rarely been discussed in the literature.

objectiveThis study was designed to explore the determinants of consulting prices in the OHC. We addressed the following questions: (1) Are the prices of online health consultation services affected by wage levels at the doctor's location? (2) How does a physician's online and offline reputation affect their consulting prices?

methodsEmploying a large-scale sample of 16,008 doctors in China, we first used descriptive statistics to investigate the determinants of consulting prices in their entirety. Hierarchical linear modeling was then used to investigate the determinants of consulting prices in the OHC.

resultsThe empirical results led to the conclusion that if doctors have more elevated clinic titles, work in higher-level hospitals, have better online reputations, and/or have made more past sales, their consulting prices will be higher. Additionally, the wage level in the city in which the doctor is working determines their opportunity cost and therefore also affects consulting prices.

conclusionsThe findings indicate that the characteristics of the doctor, the doctor's online reputation, and past sales affect the consulting price. In particular, the wage level in the city affects the price of the consultation. These findings highlight that the OHC is important because it can indeed break through geographical restrictions and give rural residents the opportunity to obtain medical service from doctors in big cities. However, doctors from cities often charge higher fees because of their higher opportunity cost. The results reveal that one of the most important functions of the OHC is to reduce the medical disparity between urban and rural areas; however, planners appear to ignore the possibility that rural residents with lower incomes may not be able to afford such high medical consultation costs. Therefore, the government should consider providing incentives to encourage urban doctors to provide discounts to rural residents or directly offer appropriate subsidies.

Indexed as

TelemedicineChinaCosts and Cost AnalysisDelivery of Health CareHumansLinear ModelsReferral and Consultationconsultationconsulting pricingeHealthhierarchical linear modelinglinear regressionmodelingonline consultationonline health care industryphysicianpricingreputationwage level

Identifiers

PMID34259643
PMCPMC8319787

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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.