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Evaluating the health system financing of the Eastern Mediterranean Region (EMR) countries using Grey Relation Analysis and Shannon Entropy

Overview of attention for article published in Cost Effectiveness and Resource Allocation, 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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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1 blog
policy
1 policy source
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2 X users

Citations

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26 Dimensions

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52 Mendeley
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Title
Evaluating the health system financing of the Eastern Mediterranean Region (EMR) countries using Grey Relation Analysis and Shannon Entropy
Published in
Cost Effectiveness and Resource Allocation, September 2018
DOI 10.1186/s12962-018-0151-6
Pubmed ID
Authors

Kimia Pourmohammadi, Payam Shojaei, Hamed Rahimi, Peivand Bastani

Abstract

Sufficient and sustainable financing of the health system is essential for improving the health of the community. The health systems financing of the EMR countries is facing the challenge. Assessment and ranking of healthcare financing can help identify and resolve some challenges of health systems. So, the aim of this study is to evaluate and rank the condition of the health sector financing in the EMR countries. This study was a cross-sectional study. The data was of secondary type, extracted from the official WHO and World Bank data. The six healthcare financing indicators in a 10-year interval (2005-2014) in 19 EMR countries analyzed using Grey Relation Analysis and Shannon Entropy. On average, the countries in the EMR region spent 4.87% of their GDP on the health sector. Jordan and Qatar allocated the highest (8.313) and the lowest (2.293) percentages of their GDP to the health sector, respectively. The results showed That Qatar was in a better condition than other EMR countries during 2005-2014 in terms of the health system financing and earned the first rank. After that, the UAE and Kuwait were ranked second and third. There is a lot of inequality among the EMR countries in terms of health financing. However, our findings confirmed that only increasing the total health expenditure in a country would not improve its financing status compared to other countries, but it also depends on financing methods.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Student > Ph. D. Student 6 12%
Researcher 5 10%
Lecturer 3 6%
Student > Postgraduate 3 6%
Other 5 10%
Unknown 22 42%
Readers by discipline Count As %
Nursing and Health Professions 6 12%
Business, Management and Accounting 5 10%
Economics, Econometrics and Finance 4 8%
Social Sciences 3 6%
Agricultural and Biological Sciences 2 4%
Other 6 12%
Unknown 26 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 05 November 2022.
All research outputs
#2,749,843
of 23,213,531 outputs
Outputs from Cost Effectiveness and Resource Allocation
#52
of 432 outputs
Outputs of similar age
#58,425
of 341,720 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#2
of 9 outputs
Altmetric has tracked 23,213,531 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 432 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 87% 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 341,720 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 82% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.