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Catastrophic expenditure and impoverishment of patients affected by 7 rare diseases in China

Overview of attention for article published in Orphanet Journal of Rare Diseases, June 2016
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Title
Catastrophic expenditure and impoverishment of patients affected by 7 rare diseases in China
Published in
Orphanet Journal of Rare Diseases, June 2016
DOI 10.1186/s13023-016-0454-7
Pubmed ID
Authors

Xiao-Xiong Xin, Xiao-Dong Guan, Lu-Wen Shi

Abstract

China is actively promoting regulation of rare diseases, rare disease and orphan drugs have been formally incorporated into the national planning. However, few studies have been done to evaluate the affordability of rare disease patients in China. This study aims to provide policy recommendations for the establishment of social security mechanism for rare diseases in China, so as to address the problem of poverty caused by these diseases. A total of 7 rare diseases were selected by Delphi method. Affordability of treatment for the 7 rare diseases was assessed through annual per capital income, catastrophic expenditure and impoverishment expenditure among urban and rural residents in China. Assessed through annual per capital income, health expenditure for the 7 rare diseases are all rather high. The highest health expenditure is equivalent to income of 69.34 years of one urban resident, and the burden is heavier for rural residents. Through catastrophic expenditure assessment, proportions of the population experiencing catastrophic expenditure caused by the 7 rare diseases are all under 0.167 ‰. However, once one is ill and taking medications, he will suffer from catastrophic health expenditure. Through impoverishment expenditure assessment, the proportions of impoverishment payment are low among both urban and rural residents, but the 7 rare diseases could lead nearly 4.6 million people into poverty on a national scale. The affordability of treatment for rare disease as well as orphan drugs is rather poor. Residents of different income levels all have difficulties to afford the treatment for rare diseases, so poverty caused by rare diseases is quite widespread. Therefore, social security mechanism for rare disease patients should be established and specific payment pattern for orphan drugs should be set up.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 14%
Other 6 10%
Student > Ph. D. Student 6 10%
Researcher 5 9%
Student > Bachelor 4 7%
Other 10 17%
Unknown 19 33%
Readers by discipline Count As %
Medicine and Dentistry 12 21%
Nursing and Health Professions 9 16%
Social Sciences 6 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Economics, Econometrics and Finance 3 5%
Other 6 10%
Unknown 19 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 June 2016.
All research outputs
#15,740,207
of 25,374,647 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,696
of 3,105 outputs
Outputs of similar age
#199,647
of 355,635 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#42
of 55 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,105 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 43rd percentile – i.e., 43% 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 355,635 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.