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The Impact of the Internet on Health Consultation Market Concentration: An Econometric Analysis of Secondary Data

BACKGROUND: Many markets have traditionally been dominated by a few best-selling products, and this is also the case for the health care industry. However, we do not know whether the market will be more or less concentrated when health care services are delivered online (known as E-consultation), no...

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Detalles Bibliográficos
Autores principales: Li, Jia, Zhang, Ya, Ma, Ling, Liu, Xuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106558/
https://www.ncbi.nlm.nih.gov/pubmed/27793793
http://dx.doi.org/10.2196/jmir.6423
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author Li, Jia
Zhang, Ya
Ma, Ling
Liu, Xuan
author_facet Li, Jia
Zhang, Ya
Ma, Ling
Liu, Xuan
author_sort Li, Jia
collection PubMed
description BACKGROUND: Many markets have traditionally been dominated by a few best-selling products, and this is also the case for the health care industry. However, we do not know whether the market will be more or less concentrated when health care services are delivered online (known as E-consultation), nor do we know how to reduce the concentration of the E-consultation market. OBJECTIVE: The aim of this study was to investigate the concentration of the E-consultation market and how to reduce its concentration through information disclosure mechanisms (online reputation and self-representation). METHODS: We employed a secondary data econometric analysis using transaction data obtained from an E-consultation Website (haodf.com) for three diseases (infantile pneumonia, diabetes, and pancreatic cancer) from 2008 to 2015. We included 2439 doctors in the analysis. RESULTS: The E-consultation market largely follows the 20/80 principle, namely that approximately 80% of orders are fulfilled by nearly 20% of doctors. This is much higher than the offline health care market. Meanwhile, the market served by doctors with strong online reputations (beta=0.207, P<.001) or strong online self-representation (beta=0.386, P<.001) is less concentrated. CONCLUSIONS: When health care services are delivered online, the market will be more concentrated (known as the “Superstar” effect), indicating poor service efficiency for society as a whole. To reduce market concentration, E-consultation websites should provide important design elements such as ratings of doctors (user feedback), articles contributed by doctors, and free consultation services (online representation). A possible and important way to reduce the market concentration of the E-consultation market is to accumulate enough highly rated or highly self-represented doctors.
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spelling pubmed-51065582016-11-23 The Impact of the Internet on Health Consultation Market Concentration: An Econometric Analysis of Secondary Data Li, Jia Zhang, Ya Ma, Ling Liu, Xuan J Med Internet Res Original Paper BACKGROUND: Many markets have traditionally been dominated by a few best-selling products, and this is also the case for the health care industry. However, we do not know whether the market will be more or less concentrated when health care services are delivered online (known as E-consultation), nor do we know how to reduce the concentration of the E-consultation market. OBJECTIVE: The aim of this study was to investigate the concentration of the E-consultation market and how to reduce its concentration through information disclosure mechanisms (online reputation and self-representation). METHODS: We employed a secondary data econometric analysis using transaction data obtained from an E-consultation Website (haodf.com) for three diseases (infantile pneumonia, diabetes, and pancreatic cancer) from 2008 to 2015. We included 2439 doctors in the analysis. RESULTS: The E-consultation market largely follows the 20/80 principle, namely that approximately 80% of orders are fulfilled by nearly 20% of doctors. This is much higher than the offline health care market. Meanwhile, the market served by doctors with strong online reputations (beta=0.207, P<.001) or strong online self-representation (beta=0.386, P<.001) is less concentrated. CONCLUSIONS: When health care services are delivered online, the market will be more concentrated (known as the “Superstar” effect), indicating poor service efficiency for society as a whole. To reduce market concentration, E-consultation websites should provide important design elements such as ratings of doctors (user feedback), articles contributed by doctors, and free consultation services (online representation). A possible and important way to reduce the market concentration of the E-consultation market is to accumulate enough highly rated or highly self-represented doctors. JMIR Publications 2016-10-28 /pmc/articles/PMC5106558/ /pubmed/27793793 http://dx.doi.org/10.2196/jmir.6423 Text en ©Jia Li, Ya Zhang, Ling Ma, Xuan Liu. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 28.10.2016. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Li, Jia
Zhang, Ya
Ma, Ling
Liu, Xuan
The Impact of the Internet on Health Consultation Market Concentration: An Econometric Analysis of Secondary Data
title The Impact of the Internet on Health Consultation Market Concentration: An Econometric Analysis of Secondary Data
title_full The Impact of the Internet on Health Consultation Market Concentration: An Econometric Analysis of Secondary Data
title_fullStr The Impact of the Internet on Health Consultation Market Concentration: An Econometric Analysis of Secondary Data
title_full_unstemmed The Impact of the Internet on Health Consultation Market Concentration: An Econometric Analysis of Secondary Data
title_short The Impact of the Internet on Health Consultation Market Concentration: An Econometric Analysis of Secondary Data
title_sort impact of the internet on health consultation market concentration: an econometric analysis of secondary data
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106558/
https://www.ncbi.nlm.nih.gov/pubmed/27793793
http://dx.doi.org/10.2196/jmir.6423
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