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作者:

Dong, Xuefan (Dong, Xuefan.) | Tang, Daisheng (Tang, Daisheng.) | Tang, Chengxiang (Tang, Chengxiang.)

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摘要:

The objective of this paper is to identify whether the interorganization of healthcare providers in China had the global property of an oligopoly market tendencies by analyzing the rich-club phenomenon of patient flow. This paper examines the properties of patient transfer networks in an entire province of China using social network analysis. Hypertension is one of the most prevalent chronic conditions in China, thus the study examined the transfer network of patients with hypertension. The rich-club coefficient, the assortativity coefficient, and community detection were used to quantitatively illustrate the rich-club tendency of the social network. The results reveal significant rich-club characteristics and regional clustering patterns in this transfer network. First, the global rich-club coefficients calculated based on both degree and weighted degree are larger than 1, suggesting a relatively noticeable rich-club effect. Second, 269 nodes (69.33%) attach only to rich nodes, suggesting that most nodes within the hypertensive-patient transfer network are highly influenced by rich-club members. Third, community detection found a significant pattern of regional clustering in the transfer network. Our findings are the first to demonstrate that the hospital system operated as an oligopoly market, in which the "elite" providers formed an "inner circle", and other providers were only loosely interconnected. It might be valuable to patients to transfer this oligarchical system into a more pluralistic network. (C) 2020 Published by Elsevier B.V.

关键词:

Healthcare delivery Hospital Social networks China

作者机构:

  • [ 1 ] [Dong, Xuefan]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Dong, Xuefan]Beijing Univ Technol, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China
  • [ 3 ] [Tang, Daisheng]Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
  • [ 4 ] [Tang, Chengxiang]Guangzhou Univ, Sch Publ Adm, 230 Waihuan Rd, Guangzhou 510006, Guangdong, Peoples R China
  • [ 5 ] [Tang, Chengxiang]Peking Univ, China Ctr Hlth Econ Res, Natl Sch Dev, Beijing 100871, Peoples R China

通讯作者信息:

  • [Tang, Chengxiang]Guangzhou Univ, Sch Publ Adm, 230 Waihuan Rd, Guangzhou 510006, Guangdong, Peoples R China

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来源 :

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

ISSN: 0378-4371

年份: 2021

卷: 565

3 . 3 0 0

JCR@2022

ESI学科: PHYSICS;

ESI高被引阀值:72

JCR分区:2

被引次数:

WoS核心集被引频次: 7

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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