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Regional disparities in medical equipment distribution in the Slovak Republic – a platform for a health policy regulatory mechanism

Overview of attention for article published in Health Economics Review, November 2017
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Title
Regional disparities in medical equipment distribution in the Slovak Republic – a platform for a health policy regulatory mechanism
Published in
Health Economics Review, November 2017
DOI 10.1186/s13561-017-0176-0
Pubmed ID
Authors

Beáta Gavurová, Viliam Kováč, Ján Fedačko

Abstract

This study aims to examine the localisation of selected parameters in the deployment and use of medical equipment in the Slovak Republic and to verify potential regional disparities. The study evaluates the benefits of an analytical platform for regulatory mechanisms in the healthcare system. The correspondence analysis is applied to the entire data set containing information regarding medical equipment distribution and mortality. The results highlight regional differences in the use of medical equipment throughout the analysed period from 2008 to 2014. The total amount of medical equipment increased slightly to 9192 devices during the time span. In 2014, there was a significant decrease of 16.44%. Disparities are found in the frequencies and structure of medical equipment. In some regions, medical equipment is not present or is present in low numbers. The results regarding regional disparities demonstrate the regional development of the amount of medical equipment. The deployment of medical equipment is not proportional, and not all of the analysed devices are available in each region. The tests also indicate the appropriateness of the amount of medical equipment and create a platform for further investigation. The results of the analysis suggest the unsuitable distribution of medical equipment throughout the Slovak regions, where there are significant regional disparities. These findings can serve as a monitoring platform to evaluate the accessibility and efficiency of medical equipment usage. No human participants were involved in the research.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Student > Bachelor 3 18%
Student > Master 2 12%
Student > Doctoral Student 1 6%
Other 1 6%
Other 4 24%
Unknown 3 18%
Readers by discipline Count As %
Medicine and Dentistry 3 18%
Nursing and Health Professions 2 12%
Social Sciences 2 12%
Unspecified 1 6%
Economics, Econometrics and Finance 1 6%
Other 3 18%
Unknown 5 29%
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 13 November 2017.
All research outputs
#17,919,786
of 23,007,887 outputs
Outputs from Health Economics Review
#301
of 435 outputs
Outputs of similar age
#237,020
of 331,173 outputs
Outputs of similar age from Health Economics Review
#15
of 17 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 435 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 23rd percentile – i.e., 23% 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 331,173 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.