Evidence map›Paper›PMID 42191187›Full record

ArticleBMJ open2026

Association between difficulties navigating the French healthcare system and healthcare utilisation: results from the National Health Literacy Survey (HLS

Rajae Touzani, Alexandra Rouquette, Cécile Allaire, Jean-Benoit Hardouin, Julien Mancini

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Rajae TouzaniAix Marseille Univ, IRD, ISSPAM, SESSTIM, Sciences Economiques et Sociales de la Santé et Traitement de l'Information Médicale, INSERM, Marseille, France rajae.touzani@inserm.fr.ORCID http://orcid.org/0000-0002-2713-0943
Alexandra RouquettePublic Health and Epidemiology Department, Bicêtre Hôpitaux Universitaires Paris Sud, AP-HP, Le Kremlin-Bicêtre, Île-de-France, France.
Cécile AllaireSanté publique France, Saint-Maurice, France.
Jean-Benoit Hardouin *Université de Nantes - Université de Tours, UMR U1246 SPHERE, Methods in Patient-Centred Outcomes and Health Research, INSERM, Nantes, France.
Julien Mancini *Aix Marseille Univ, IRD, ISSPAM, SESSTIM, Sciences Economiques et Sociales de la Santé et Traitement de l'Information Médicale, INSERM, Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the association between navigational health literacy (HL), defined as the skills required to effectively navigate healthcare systems, access services and make informed decisions and healthcare utilisation among French adults with and without chronic health conditions.

designCross-sectional online survey.

settingNational survey conducted in metropolitan France as part of the Health Literacy Survey (HLS

participantsA total of 2 003 individuals were included: 1103 without chronic condition and 900 with at least one chronic condition. OUTCOMES MEASURES: Number of general practitioner (GP) and specialist visits in the previous 12 months

resultsThe chronic condition group reported more frequent GP (4.3 vs 2.1/year) and specialist (2.8 vs 1.1/year) visits than the no chronic condition group. A high navigational HL was significantly associated with fewer GP (p=0.016) and specialist visits (p<0.001) only in the latter group. Other significant variables were age, gender, financial difficulties, self-reported health status and activity limitations. Younger persons and men reported fewer visits while those with poorer health and activity limitations reported more visits.

conclusionsHigh navigational HL was associated with less healthcare utilisation in individuals with no chronic condition. Among the chronic condition group, this aspect seemed less influential, likely due to greater healthcare system familiarity and structured care. Our findings highlight the importance of strengthening HL navigation skills early to improve healthcare use.

Indexed as

Delivery of Health CareHealth LiteracyHealth Services AccessibilityPatient Acceptance of Health CareAdultAgedChronic DiseaseCross-Sectional StudiesFemaleFranceHumansMaleMiddle AgedSurveys and QuestionnairesHealth EquityHealth LiteracyPrimary Health CarePUBLIC HEALTH

Identifiers

PMID42191187
PMCPMC13218104

What OpenQuestion holds

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LicenceCC BY-NC
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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.