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Rural–urban disparities in the utilization of mental health inpatient services in China: the role of health insurance

Overview of attention for article published in International Journal of Health Economics and Management, March 2018
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Title
Rural–urban disparities in the utilization of mental health inpatient services in China: the role of health insurance
Published in
International Journal of Health Economics and Management, March 2018
DOI 10.1007/s10754-018-9238-z
Pubmed ID
Authors

Junfang Xu, Jian Wang, Madeleine King, Ruiyun Liu, Fenghua Yu, Jinshui Xing, Lei Su, Mingshan Lu

Abstract

Reducing rural-urban disparities in health and health care has been a key policy goal for the Chinese government. With mental health becoming an increasingly significant public health issue in China, empirical evidence of disparities in the use of mental health services can guide steps to reduce them. We conducted this study to inform China's on-going health-care reform through examining how health insurance might reduce rural-urban disparities in the utilization of mental health inpatient services in China. This retrospective study used 10 years (2005-2014) of hospital electronic health records from the Shandong Center for Mental Health and the DaiZhuang Psychiatric Hospital, two major psychiatric hospitals in Shandong Province. Health insurance was measured using types of health insurance and the actual reimbursement ratio (RR). Utilization of mental health inpatient services was measured by hospitalization cost, length of stay (LOS), and frequency of hospitalization. We examined rural-urban disparities in the use of mental health services, as well as the role of health insurance in reducing such disparities. Hospitalization costs, LOS, and frequency of hospitalization were all found to be lower among rural than among urban inpatients. Having health insurance and benefiting from a relatively high RR were found to be significantly associated with a greater utilization of inpatient services, among both urban and rural residents. In addition, an increase in the RR was found to be significantly associated with an increase in the use of mental health services among rural patients. Consistent with the existing literature, our study suggests that increasing insurance schemes' reimbursement levels could lead to substantial increases in the use of mental health inpatient services among rural patients, and a reduction in rural-urban disparities in service utilization. In order to promote mental health care and reduce rural-urban disparities in its utilization in China, improving rural health insurance coverage (e.g., reducing the coinsurance rate) would be a powerful policy instrument.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 15%
Student > Ph. D. Student 11 9%
Researcher 9 8%
Student > Master 9 8%
Lecturer 7 6%
Other 15 13%
Unknown 48 41%
Readers by discipline Count As %
Medicine and Dentistry 20 17%
Economics, Econometrics and Finance 12 10%
Nursing and Health Professions 9 8%
Social Sciences 5 4%
Psychology 4 3%
Other 15 13%
Unknown 51 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 November 2018.
All research outputs
#18,699,725
of 23,857,313 outputs
Outputs from International Journal of Health Economics and Management
#95
of 104 outputs
Outputs of similar age
#244,616
of 333,085 outputs
Outputs of similar age from International Journal of Health Economics and Management
#1
of 1 outputs
Altmetric has tracked 23,857,313 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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