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The economic burden of mental disorders in China, 2005–2013: implications for health policy

Overview of attention for article published in BMC Psychiatry, May 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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2 news outlets
policy
1 policy source
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133 Mendeley
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Title
The economic burden of mental disorders in China, 2005–2013: implications for health policy
Published in
BMC Psychiatry, May 2016
DOI 10.1186/s12888-016-0839-0
Pubmed ID
Authors

Junfang Xu, Jian Wang, Anders Wimo, Chengxuan Qiu

Abstract

Mental disorders represent a major contributor to disease burden worldwide. We sought to quantify the national economic burden of mental disorders in China. We used a prevalence-based, bottom-up approach to estimate the economic costs of mental disorders in 2005-2013 in China. Prevalence data were derived from a national survey. Cost data were derived from the electronic health records of two psychiatric hospitals that consisted of 25,289 outpatients (10 %) and inpatients (90 %) who were diagnosed with a mental disorder. Cost items included direct medical costs, direct non-medical costs, and indirect costs. The total annual costs of mental disorders in China increased from $1,094.8 in 2005 to $3,665.4 in 2013 for individual patients, and from $21.0 billion to $88.8 billion for the whole society. The total costs of mental disorders in 2013 accounted for more than 15 % of the total health expenditure in China, and 1.1 % of China's gross domestic product. If the needs of the professional care for all patients with mental illnesses were fully met, the potential economic costs would have been almost five times higher than the actual estimated costs. Mental disorders imposed a huge economic burden on individuals and the society in China. A nation-wide strategic action plan for preventing mental disorders and promoting mental health and well-being is in urgent need to reduce the individual and societal costs of mental illnesses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Greece 1 <1%
Unknown 131 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 15%
Student > Master 18 14%
Researcher 17 13%
Student > Bachelor 15 11%
Student > Doctoral Student 7 5%
Other 17 13%
Unknown 39 29%
Readers by discipline Count As %
Medicine and Dentistry 22 17%
Psychology 14 11%
Nursing and Health Professions 11 8%
Economics, Econometrics and Finance 10 8%
Social Sciences 6 5%
Other 18 14%
Unknown 52 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 July 2019.
All research outputs
#1,509,647
of 25,262,379 outputs
Outputs from BMC Psychiatry
#483
of 5,396 outputs
Outputs of similar age
#25,270
of 316,532 outputs
Outputs of similar age from BMC Psychiatry
#8
of 108 outputs
Altmetric has tracked 25,262,379 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,396 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done particularly well, scoring higher than 91% of its peers.
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 316,532 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.