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The use of national administrative data to describe the spatial distribution of in-hospital mortality following stroke in France, 2008–2011

Overview of attention for article published in International Journal of Health Geographics, January 2016
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Title
The use of national administrative data to describe the spatial distribution of in-hospital mortality following stroke in France, 2008–2011
Published in
International Journal of Health Geographics, January 2016
DOI 10.1186/s12942-015-0028-2
Pubmed ID
Authors

Adrien Roussot, Jonathan Cottenet, Maryse Gadreau, Maurice Giroud, Yannick Béjot, Catherine Quantin

Abstract

In the context of implementing the National Stroke Plan in France, a spatial approach was used to measure inequalities in this disease. Using the national PMSI-MCO databases, we analyzed the in-hospital prevalence of stroke and established a map of in-hospital mortality rates with regard to the socio-demographic structure of the country. The principal characteristics of patients identified according to ICD10 codes relative to stroke (in accordance with earlier validation work) were studied. A map of standardized mortality rates at the level of PMSI geographic codes was established. An exploratory analysis (principal component analysis followed by ascending hierarchical classification) using INSEE socio-economic data and mortality rates was also carried out to identify different area profiles. Between 2008 and 2011, the number of stroke patients increased by 3.85 %, notably for ischemic stroke in the 36-55 years age group (60 % of men). Over the same period, in-hospital mortality fell, and the map of standardized rates illustrated the diagonal of high mortality extending from the north-east to the south-west of the country. The most severely affected areas were also those with the least favorable socio-professional indicators. The PMSI-MCO database is a major source of data on the health status of the population. It can be used for the area-by-area observation of the performance of certain healthcare indicators, such as in-hospital mortality, or to follow the implementation of the National Stroke Plan. Our study showed the interplay between social and demographic factors and stroke-related in-hospital mortality. The map derived from the results of the exploratory analysis illustrated a variety of areas where social difficulties, aging and high mortality seemed to meet. The study raises questions about access to neuro-vascular care in isolated areas and in those in demographic decline. Telemedicine appears to be the solution favored by decision makers. The aging of the population managed for stroke must not mask the growing incidence in younger people, which raises questions about the development of classical (smoking, hypertension) or new (drug abuse) risk factors.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 13%
Researcher 11 13%
Student > Master 8 10%
Student > Bachelor 4 5%
Student > Postgraduate 4 5%
Other 8 10%
Unknown 37 45%
Readers by discipline Count As %
Medicine and Dentistry 16 19%
Nursing and Health Professions 4 5%
Neuroscience 3 4%
Computer Science 3 4%
Engineering 3 4%
Other 15 18%
Unknown 39 47%
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 January 2016.
All research outputs
#18,434,182
of 22,837,982 outputs
Outputs from International Journal of Health Geographics
#514
of 628 outputs
Outputs of similar age
#285,378
of 394,936 outputs
Outputs of similar age from International Journal of Health Geographics
#9
of 12 outputs
Altmetric has tracked 22,837,982 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 628 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 12th percentile – i.e., 12% 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 394,936 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.