Evidence map›Paper›PMID 32240217›Full record

ArticlePloS one2020

Social deprivation among socio-economic contrasted french areas: Using item response theory analysis to assess differential item functioning of the EPICES questionnaire in stroke patients.

Adrien Guilloteau, Christine Binquet, Abderrahmane Bourredjem, Isabelle Fournel, Marie Laure Lalanne-Mistrih, Mathieu Nacher, Devi Rochemont, André Cabie, Emmanuelle Mimeau, Caroline Mislin-Tritsch and 6 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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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

16 authors.

Adrien GuilloteauClinical Epidemiology Unit, INSERM, CIC 1432, University Hospital of Dijon, Epidemiology and infection control unit, Bourgogne-Franche-Comté University, Dijon, France.ORCID 0000-0003-1161-297X
Christine BinquetClinical Epidemiology Unit, INSERM, CIC 1432, University Hospital of Dijon, Epidemiology and infection control unit, Bourgogne-Franche-Comté University, Dijon, France.
Abderrahmane BourredjemClinical Epidemiology Unit, INSERM, CIC 1432, University Hospital of Dijon, Epidemiology and infection control unit, Bourgogne-Franche-Comté University, Dijon, France.
Isabelle FournelClinical Epidemiology Unit, INSERM, CIC 1432, University Hospital of Dijon, Epidemiology and infection control unit, Bourgogne-Franche-Comté University, Dijon, France.
Marie Laure Lalanne-MistrihINSERM, CIC 1424, Clinical Epidemiology Unit - Pointe-à-Pitre, University Hospital of Pointe-à-Pitre - Pointe-à-Pitre, University of West Indies - Pointe-à-Pitre, Guadeloupe, France.
Mathieu NacherINSERM, CIC 1424, Clinical Epidemiology Unit, Hospital Andrée Rosemon, CIC 1424, Clinical Epidemiology Unit, University of French Guiana - Cayenne, Guyane, France.ORCID 0000-0001-9397-3204
Devi RochemontINSERM, CIC 1424, Clinical Epidemiology Unit, Hospital Andrée Rosemon, CIC 1424, Clinical Epidemiology Unit, University of French Guiana - Cayenne, Guyane, France.
André CabieINSERM, CIC 1424, Clinical Epidemiology Unit - Fort-de-France, University of West Indies, EA4537 - Fort-de-France, University Hospital of Martinique - Fort-de-France, Martinique, France.
Emmanuelle MimeauHospital Andrée Rosemon - Cayenne, Guyane, France.
Caroline Mislin-TritschWestern Guyana Hospital - Saint Laurent du Maroni, Guyane, France.
Julien JouxUniversity Hospital of Martinique - Fort-de-France, Martinique, France.
Annie LannuzelINSERM, CIC 1424, Clinical Epidemiology Unit - Pointe-à-Pitre, University Hospital of Pointe-à-Pitre - Pointe-à-Pitre, University of West Indies - Pointe-à-Pitre, Institute for Brain and Spinal Cord Disorders, ICM, UMR 1127, Paris, France.
Claire Bonithon-KoppClinical Epidemiology Unit, INSERM, CIC 1432, University Hospital of Dijon, Epidemiology and infection control unit, Bourgogne-Franche-Comté University, Dijon, France.
Yannick BéjotNeurology Department and Dijon Stroke Registry, University Hospital of Dijon, Dijon, France.ORCID 0000-0001-7848-7072
Hervé DevilliersClinical Epidemiology Unit, INSERM, CIC 1432, University Hospital of Dijon, Epidemiology and infection control unit, Bourgogne-Franche-Comté University, Dijon, France.ORCID 0000-0003-0679-1029
INDIA study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple approaches have been proposed to measure low socio-economic status. In France the concept of precariousness, akin to social deprivation, was developed and is widely used. EPICES is a short questionnaire that was developed to measure this concept. This study aimed to evaluate Differential Item Functioning (DIF) in the EPICES questionnaire between contrasted areas: mainland France, French West Indies (FWI) and French Guiana (FG).

methodsThe population was taken from the INDIA study, which aimed to evaluate the impact of social inequalities on stroke characteristics and prognosis. Eligible people were patients referred to neurology or emergency departments for a suspicion of stroke. We assessed the DIF using hybrid ordinal logistic regression method, derived from item response theory.

resultsWe analysed 1 553 stroke patients, including 768 from FWI (49.5%), 289 from FG (18.6%) and 496 from mainland (31.9%). We identified five items with a moderate to large DIF in area comparisons: "meeting with a social worker", "complementary health insurance", "home-owning", "financial difficulties" and "sport activities". Correlation between EPICES score and the latent variable was strong (r = 0.84).

conclusionThis is the first attempt to assess the DIF of the EPICES score between different French populations. We found several items with DIF, which can be explained by individual interpretation or local context. However, the DIFs did not lead to a large difference between the latent variable and the EPICES score, which indicates that it can be used to assess precariousness and social deprivation between contrasted areas.

Indexed as

Health BehaviorSocial IsolationSocioeconomic FactorsAgedFemaleFranceHealth Services AccessibilityHumansMalePovertyProspective StudiesStrokeSurveys and Questionnaires

Identifiers

PMID32240217
PMCPMC7117693

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LicenceCC BY
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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.