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Explaining medical disputes in Chinese public hospitals: the doctor–patient relationship and its implications for health policy reforms

Published online by Cambridge University Press:  28 March 2016

Alex Jingwei He
Affiliation:
Assistant Professor, Department of Asian and Policy Studies, The Hong Kong Institute of Education, Hong Kong, China
Jiwei Qian*
Affiliation:
Research Fellow, East Asian Institute, National University of Singapore, Singapore
*
*Correspondence to: Jiwei Qian, East Asian Institute, National University of Singapore, 469A Bukit Timah Road, Singapore. Email: jiwei.qian@nus.edu.sg
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Abstract

In recent years China has witnessed a surge in medical disputes, including many widely reported violent riots, attacks, and protests in hospitals. This is the result of a confluence of inappropriate incentives in the health system, the consequent distorted behaviors of physicians, mounting social distrust of the medical profession, and institutional failures of the legal framework. The detrimental effects of the damaged doctor–patient relationship have begun to emerge, calling for rigorous study and serious policy intervention. Using a sequential exploratory design, this article seeks to explain medical disputes in Chinese public hospitals with primary data collected from Shenzhen City. The analysis finds that medical disputes of various forms are disturbingly widespread and reveals that inappropriate internal incentives in hospitals and the heavy workload of physicians undermine the quality of clinical encounters, which easily triggers disputes. Empirically, a heavy workload is associated with a larger number of disputes. A greater number of disputes are associated with higher-level hospitals, which can afford larger financial settlements. The resolution of disputes via the legal channel appears to be unpopular. This article argues that restoring a healthy doctor–patient relationship is no less important than other institutional aspects of health care reform.

Information

Type
Articles
Copyright
© Cambridge University Press 2016 
Figure 0

Table 1Profiles of interviewees

Figure 1

Table 2Profiles of survey respondents

Figure 2

Table 3Variable coding

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Table 4Description of key variables

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Table 5Regression results