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Article details
Title
Reimbursement for injury-induced medical expenses in Chinese social medical insurance schemes: A systematic analysis of legislative documents
Published in
PLOS ONE, March 2018
DOI 10.1371/journal.pone.0194381
Pubmed ID
Authors
Abstract

Social medical insurance schemes are crucial for realizing universal health coverage and health equity. The aim of this study was to investigate whether and how reimbursement for injury-induced medical expenses is addressed in Chinese legislative documents relevant to social medical insurance. We retrieved legislative documents from the China National Knowledge Infrastructure and the Lawyee databases. Four types of social medical insurance schemes were included: urban employee basic medical insurance, urban resident basic medical insurance, new rural cooperative medical system, and urban and rural resident medical insurance. Text analyses were conducted on all identified legislative documents. As a result, one national law and 1,037 local legislative documents were identified. 1,012 of the 1,038 documents provided for reimbursement. Of the 1,012 documents, 828 (82%) provided reimbursement only for injuries without a legally responsible person/party or not caused by self-harm, alcohol use, drug use, or other law violations, and 162 (16%) did not include any details concerning implementation. Furthermore, 760 (92%) of the 828 did not provide an exception clause applying to injuries when a responsible person/party could not be contacted or for situations when the injured person cannot obtain reimbursement from the responsible person/party. Thus, most Chinese legislative documents related to social medical insurance do not provide reimbursement for medical expenses from injuries having a legally responsible person/party or those caused by illegal behaviors. We argue that all injury-induced medical expenses should be covered by legislative documents related to social medical insurance in China, no matter what the cause of the injury. Further research is needed to explore the acceptability and feasibility of such policy changes.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 4 12%
Student > Master 4 12%
Student > Bachelor 2 6%
Student > Ph. D. Student 2 6%
Student > Postgraduate 2 6%
Other 5 15%
Unknown 15 44%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 6 18%
Medicine and Dentistry 4 12%
Psychology 3 9%
Agricultural and Biological Sciences 2 6%
Arts and Humanities 1 3%
Other 3 9%
Unknown 15 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 16 March 2018.
All research outputs
#18,591,506
of 23,028,364 outputs
Outputs from PLOS ONE
#156,471
of 196,302 outputs
Outputs of similar age
#259,435
of 333,788 outputs
Outputs of similar age from PLOS ONE
#2,879
of 3,663 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 196,302 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 333,788 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,663 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.