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Measurement and analysis of equity in health: a case study conducted in Zhejiang Province, China

Overview of attention for article published in International Journal for Equity in Health, March 2018
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Title
Measurement and analysis of equity in health: a case study conducted in Zhejiang Province, China
Published in
International Journal for Equity in Health, March 2018
DOI 10.1186/s12939-018-0746-8
Pubmed ID
Authors

Xueshan Sun, Hao Zhang, Xiaoqian Hu, Shuyan Gu, Xuemei Zhen, Yuxuan Gu, Minzhuo Huang, Jingming Wei, Hengjin Dong

Abstract

Equity is the core of primary care. The issue of equity in health has become urgent, and China has attached increasing attention to it. With rapid economic development and great changes in medical insurance policy, the pattern of equity in health has changed tremendously. The reform of healthcare in Zhejiang Province is at the forefront in China, and studies on Zhejiang Province are of great significance to the entire country. This paper aimed to measure health equity from the perspectives of health needs and health-seeking behavior and to provide suggestions for the next policy formulations, with respect to timeliness. The investigator's household survey was conducted in August 2016. A sample of 1000 households, which included2807 individuals in Zhejiang, China, was obtained with the multi-stage stratified cluster sampling method. Descriptive analysis and chi-square tests were adopted in the analysis. The value of the concentration index was used to measure the equity. This study found that the poor have more urgent health needs and poorer health situations than the rich. Through studies on health-seeking behavior, the utilization of outpatient services was almost equitable, while the utilization of hospitalization showed a pro-rich inequity (i.e., the rich use more services). Individuals with employer-based medical insurance used more outpatient services than those with rural and urban medical insurance. More people in the poorer income groups did not use inpatient services due to financial difficulties. Absolute medical prices and medical insurance may explain the equity in the utilization of outpatient services and the inequity in the utilization of hospitalization. In view of the pro-rich inequity of hospitalization, more financial protection should be provided for the poor.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 29%
Student > Master 5 12%
Student > Ph. D. Student 5 12%
Student > Doctoral Student 3 7%
Other 2 5%
Other 2 5%
Unknown 13 31%
Readers by discipline Count As %
Nursing and Health Professions 6 14%
Unspecified 5 12%
Economics, Econometrics and Finance 5 12%
Social Sciences 4 10%
Medicine and Dentistry 3 7%
Other 5 12%
Unknown 14 33%
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 01 April 2018.
All research outputs
#18,591,506
of 23,028,364 outputs
Outputs from International Journal for Equity in Health
#1,742
of 1,926 outputs
Outputs of similar age
#258,245
of 332,500 outputs
Outputs of similar age from International Journal for Equity in Health
#34
of 39 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 1,926 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.