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Illness and medical and other expenditures: observations from western and eastern China

Overview of attention for article published in BMC Health Services Research, February 2015
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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2 Facebook pages

Citations

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2 Dimensions

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Title
Illness and medical and other expenditures: observations from western and eastern China
Published in
BMC Health Services Research, February 2015
DOI 10.1186/s12913-015-0730-6
Pubmed ID
Authors

Jing Zhang, Benchang Shia, Huangdi Yi, Shuangge Ma, Chi Ma

Abstract

Illness and the medical expenditure that follows have a profound impact on the well-being of individuals and households. China is a huge country with significant regional differences. The goal of this study is to investigate the associations of illness and medical expenditure with other categories of household expenditures, with special attention paid to the differences in observations between the western and eastern regions. A survey was conducted in six major cities in China, three in the east and three in the west, in 2011. Data on demographics, illness conditions, and medical and other expenditures were collected from 12,515 households. In the analysis of the associations of illness conditions and medical expenditure with demographics, multiple significant associations were observed, and there are differences between the eastern and western regions. In univariate analyses, illness conditions and medical expenditure were found as having significant associations with other categories of expenditures. In multivariate analyses adjusting for household and household head characteristics, few associations were observed, and there exist differences between the regions. This study has provided empirical evidence on the associations of illness/medical expenditure with demographics and with other categories of expenditures. Differences across regions were observed in multiple aspects. The reasons underlying such differences are worth investigating further.

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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 19%
Professor 2 10%
Student > Bachelor 2 10%
Researcher 2 10%
Student > Postgraduate 2 10%
Other 5 24%
Unknown 4 19%
Readers by discipline Count As %
Medicine and Dentistry 5 24%
Nursing and Health Professions 3 14%
Biochemistry, Genetics and Molecular Biology 2 10%
Business, Management and Accounting 1 5%
Agricultural and Biological Sciences 1 5%
Other 4 19%
Unknown 5 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 April 2015.
All research outputs
#13,938,908
of 24,051,764 outputs
Outputs from BMC Health Services Research
#4,698
of 8,094 outputs
Outputs of similar age
#121,546
of 258,402 outputs
Outputs of similar age from BMC Health Services Research
#46
of 89 outputs
Altmetric has tracked 24,051,764 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,094 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 40th percentile – i.e., 40% 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 258,402 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.