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A multi-criteria spatial deprivation index to support health inequality analyses

Overview of attention for article published in International Journal of Health Geographics, March 2015
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
A multi-criteria spatial deprivation index to support health inequality analyses
Published in
International Journal of Health Geographics, March 2015
DOI 10.1186/s12942-015-0004-x
Pubmed ID
Authors

Pablo Cabrera-Barona, Thomas Murphy, Stefan Kienberger, Thomas Blaschke

Abstract

Deprivation indices are useful measures to analyze health inequalities. There are several methods to construct these indices, however, few studies have used Geographic Information Systems (GIS) and Multi-Criteria methods to construct a deprivation index. Therefore, this study applies Multi-Criteria Evaluation to calculate weights for the indicators that make up the deprivation index and a GIS-based fuzzy approach to create different scenarios of this index is also implemented. The Analytical Hierarchy Process (AHP) is used to obtain the weights for the indicators of the index. The Ordered Weighted Averaging (OWA) method using linguistic quantifiers is applied in order to create different deprivation scenarios. Geographically Weighted Regression (GWR) and a Moran's I analysis are employed to explore spatial relationships between the different deprivation measures and two health factors: the distance to health services and the percentage of people that have never had a live birth. This last indicator was considered as the dependent variable in the GWR. The case study is Quito City, in Ecuador. The AHP-based deprivation index show medium and high levels of deprivation (0,511 to 1,000) in specific zones of the study area, even though most of the study area has low values of deprivation. OWA results show deprivation scenarios that can be evaluated considering the different attitudes of decision makers. GWR results indicate that the deprivation index and its OWA scenarios can be considered as local estimators for health related phenomena. Moran's I calculations demonstrate that several deprivation scenarios, in combination with the 'distance to health services' factor, could be explanatory variables to predict the percentage of people that have never had a live birth. The AHP-based deprivation index and the OWA deprivation scenarios developed in this study are Multi-Criteria instruments that can support the identification of highly deprived zones and can support health inequalities analysis in combination with different health factors. The methodology described in this study can be applied in other regions of the world to develop spatial deprivation indices based on Multi-Criteria analysis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Austria 1 <1%
Unknown 148 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 19%
Student > Master 19 13%
Researcher 18 12%
Student > Doctoral Student 10 7%
Student > Bachelor 8 5%
Other 27 18%
Unknown 39 26%
Readers by discipline Count As %
Social Sciences 23 15%
Medicine and Dentistry 18 12%
Earth and Planetary Sciences 11 7%
Engineering 10 7%
Economics, Econometrics and Finance 9 6%
Other 39 26%
Unknown 40 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 July 2017.
All research outputs
#6,331,779
of 22,796,179 outputs
Outputs from International Journal of Health Geographics
#216
of 627 outputs
Outputs of similar age
#74,704
of 262,958 outputs
Outputs of similar age from International Journal of Health Geographics
#3
of 7 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 627 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has gotten more attention than average, scoring higher than 65% 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 262,958 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 71% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.