Evidence map›Paper›PMID 26754188›Full record

ArticleInternational journal of health geographics2016

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

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

Open access · goldAbstract read
In one paragraph

Article in International journal of health geographics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Adrien RoussotService de Biostatistique et d'Informatique Médicale (DIM), CHRU Dijon, Dijon, 21000, France. adrien.roussot@chu-dijon.fr.
Jonathan CottenetService de Biostatistique et d'Informatique Médicale (DIM), CHRU Dijon, Dijon, 21000, France. jonathan.cottenet@chu-dijon.fr.
Maryse GadreauLaboratoire d'Economie de Dijon, Université de Bourgogne, UMR 6307 CNRS, INSERM U1200, Dijon, France. maryse.gadreau@u-bourgogne.fr.
Maurice GiroudRegistre des AVC dijonnais, EA4184, CHRU, Univ de Bourgogne, Dijon, France. maurice.giroud@chu-dijon.fr.
Yannick BéjotRegistre des AVC dijonnais, EA4184, CHRU, Univ de Bourgogne, Dijon, France. yannick.bejot@chu-dijon.fr.
Catherine QuantinService de Biostatistique et d'Informatique Médicale (DIM), CHRU Dijon, Dijon, 21000, France. catherine.quantin@chu-dijon.fr.
Centre de recherche en Epidémiologie et Santé des Populations · FRCHU Dijon Bourgogne · FRCentre d'Economie et de Sociologie Appliquées à l'Agriculture et aux Espaces Ruraux · FRDépartement d'Informatique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 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.

methodsThe 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.

resultsBetween 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.

conclusionsThe 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.

Indexed as

AdultAgedAged, 80 and overDatabases, FactualDemographyFemaleFranceHospital MortalityHumansMaleMiddle AgedStroke

Identifiers

PMID26754188
PMCPMC4710001
OpenAlexW2238515196

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.