The Impact of the Internet on Health Consultation Market Concentration: An Econometric Analysis of Secondary Data.
The Impact of the Internet on Health Consultation Market Concentration: An Econometric Analysis of Secondary Data.
复制标题
互联网对健康咨询市场集中度的影响：二手数据的计量分析
DOI：
10.2196/jmir.6423
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发表时间：
2016-10-28
影响因子：
7.4
通讯作者：
Liu X
中科院分区：
文献类型：
--
作者：
Li J;Zhang Y;Ma L;Liu X
许多市场传统上由少数畅销产品主导，医疗保健行业也是如此。然而，我们不知道当医疗保健服务在网上提供（即在线诊疗）时，市场的集中度会更高还是更低，也不知道如何降低在线诊疗市场的集中度。
本研究的目的是调查在线诊疗市场的集中度以及如何通过信息披露机制（网络声誉和自我展示）来降低其集中度。
我们使用从一个在线诊疗网站（好大夫在线）获取的2008年至2015年三种疾病（小儿肺炎、糖尿病和胰腺癌）的交易数据进行了二次数据计量分析。我们的分析涵盖了2439名医生。
在线诊疗市场在很大程度上遵循20/80原则，即大约80%的订单由近20%的医生完成。这比线下医疗保健市场高得多。同时，由网络声誉高（β = 0.207，P <.001）或网络自我展示能力强（β = 0.386，P <.001）的医生所服务的市场集中度较低。
当医疗保健服务在网上提供时，市场会更加集中（称为“明星”效应），这表明整个社会的服务效率低下。为了降低市场集中度，在线诊疗网站应该提供重要的设计元素，如医生评级（用户反馈）、医生撰写的文章以及免费咨询服务（在线展示）。降低在线诊疗市场集中度的一种可能且重要的方法是积累足够多评级高或自我展示能力强的医生。
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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影响因子：
7.4
作者：
Das A;Faxvaag A;Svanæs D
通讯作者：
Svanæs D
影响因子：
9.7
作者：
Austin, Daniel R.;Baker, Laurence C.
通讯作者：
Baker, Laurence C.
影响因子：
4.7
作者：
North, Frederick;Uthke, Lorraine D.;Tulledge-Scheitel, Sidna M.
通讯作者：
Tulledge-Scheitel, Sidna M.
影响因子：
3.8
作者：
Krueger, AB
通讯作者：
Krueger, AB
影响因子：
7.3
作者：
Gao, Guodong (Gordon);Greenwood, Brad N.;McCullough, Jeffrey S.
通讯作者：
McCullough, Jeffrey S.