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Attention Score in Context
| Title |
Measuring Geographic Inequalities: Dealing with Multiple Health Resources by Data Envelopment Analysis
|
|---|---|
| Published in |
Frontiers in Public Health, February 2018
|
| DOI | 10.3389/fpubh.2018.00053 |
| Pubmed ID | |
| Authors |
Martin Dlouhý |
| Abstract |
The existence of geographic differences in health resources, health expenditures, the utilization of health services, and health outcomes have been documented by a lot of studies from various countries of the world. In a publicly financed health system, equal access is one of the main objectives of the national health policy. That is why inequalities in the geographic allocation of health resources are an important health policy issue. Measures of inequality express the complexity of variation in the observed variable by a single number, and there is a variety of inequality measures available. The objective of this study is to develop a measure of the geographic inequality in the case of multiple health resources. The measure uses data envelopment analysis (DEA), which is a non-parametric method of production function estimation, to transform multiple resources into a single virtual health resource. The study shows that the DEA originally developed for measuring efficiency can be used successfully to measure inequality. For the illustrative purpose, the inequality measure is calculated for the Czech Republic. The values of separate Robin Hood Indexes (RHIs) are 6.64% for physicians and 3.96% for nurses. In the next step, we use combined RHI for both health resources. Its value 5.06% takes into account that the combinations of two health resources serve regional populations. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 21% |
| Professor | 4 | 14% |
| Other | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Librarian | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 11 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 5 | 18% |
| Nursing and Health Professions | 3 | 11% |
| Medicine and Dentistry | 3 | 11% |
| Social Sciences | 2 | 7% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 14 | 50% |
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 28 February 2018.
All research outputs
#18,589,103
of 23,025,074 outputs
Outputs from Frontiers in Public Health
#5,893
of 10,276 outputs
Outputs of similar age
#257,036
of 330,530 outputs
Outputs of similar age from Frontiers in Public Health
#94
of 112 outputs
Altmetric has tracked 23,025,074 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 10,276 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one is in the 24th percentile – i.e., 24% 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 330,530 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 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.