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Influencing factors of inequity in health services utilization among the elderly in China

Overview of attention for article published in International Journal for Equity in Health, September 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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1 blog
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9 X users

Citations

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56 Dimensions

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60 Mendeley
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Title
Influencing factors of inequity in health services utilization among the elderly in China
Published in
International Journal for Equity in Health, September 2018
DOI 10.1186/s12939-018-0861-6
Pubmed ID
Authors

Xianzhi Fu, Nan Sun, Fei Xu, Jin Li, Qixin Tang, Junjian He, Dongdong Wang, Changqing Sun

Abstract

With the rise of the aging population, it is particularly important for health services to be used fairly and reasonably in the elderly. This study aimed to assess the present inequality and horizontal inequity for health service use among the elderly in China and to identify the main determinants associated with the disparity. This cross-sectional study was based on the sample of the survey of the China Health and Retirement Longitudinal Study (CHARLS) for 2015. The elderly was defined as individuals aged 60 and above, with a total of 7836 participants. We used the concentration index (CI) and the horizontal inequity (HI) to measure the inequity of the utilization of health services. The method of concentration index decomposition was utilized to measure the contribution of various influential factors to the overall unfairness. The CI for the probability and the frequency of outpatient use were 0.1102 and 0.1015, respectively, and the corresponding values of inpatient use were 0.2777 and 0.2980, respectively. The household consumption expenditure disparity was the greatest inequality factor favoring the better-off. The Urban Employee Basic Medical Insurance made a pro-wealth contribution to inequality in frequency of health services utilization (17.58% for outpatient and 13.40% for inpatient). The contributions of New Rural Cooperative Medical Scheme on reducing unfairness in inpatient use were limited (- 2.23% for probability of inpatient use and - 5.89% for frequency of inpatient use). There was a strong pro-rich inequality in both the probability and the frequency of use for health services among the elderly in China. The medical insurance was not enough to address this inequity, and different medical insurance schemes had different effects on the unfairness of health service utilization.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 23%
Student > Ph. D. Student 9 15%
Researcher 7 12%
Student > Bachelor 4 7%
Student > Postgraduate 2 3%
Other 1 2%
Unknown 23 38%
Readers by discipline Count As %
Nursing and Health Professions 11 18%
Medicine and Dentistry 7 12%
Social Sciences 5 8%
Engineering 2 3%
Business, Management and Accounting 2 3%
Other 8 13%
Unknown 25 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 26 September 2018.
All research outputs
#2,227,948
of 23,103,436 outputs
Outputs from International Journal for Equity in Health
#376
of 1,934 outputs
Outputs of similar age
#48,837
of 337,900 outputs
Outputs of similar age from International Journal for Equity in Health
#26
of 56 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 80% 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 337,900 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.