Evidence map›Paper›PMID 42026571›Full record

ArticleBMC public health2026

Spatial inequalities in cardiovascular health: a cross-sectional study with small-area health insurance claims and individual-level primary care data in Belgium.

Arne Janssens, Sumbul Hashmi, Anne-Laure Budts, Lorenz Van der Linden, Wies Kestens, Spencer Marcinko, Chiel Hex, Thomas Neyens, Ellie D'Hondt, Caroline Van Cauwelaert and 1 more

Abstract read
In one paragraph

Article in BMC public health, 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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Arne Janssens *Academic Center for General Practice, Department of Public Health and Primary Care, KU Leuven, 7001, Kapucijnenvoer 7, Leuven, B-3000, Belgium. arne.janssens@kuleuven.be.
Sumbul Hashmi *EPCON, Lange Gasthuisstraat 29/31, Antwerp, B-2000, Belgium.
Anne-Laure BudtsEPCON, Lange Gasthuisstraat 29/31, Antwerp, B-2000, Belgium.
Lorenz Van der LindenClinical Pharmacology and Pharmacotherapy, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, B-3000, Leuven, Belgium.
Wies KestensMutualités Libres/Onafhankelijke Ziekenfondsen (MLOZ), Lenniksebaan 788A, Anderlecht, B-1070, Belgium.
Spencer MarcinkoEPCON, Lange Gasthuisstraat 29/31, Antwerp, B-2000, Belgium.
Chiel HexDepartment of Healthcare and Ethics, Faculty of Medicine and Life Sciences, Hasselt University, Agoralaan, Diepenbeek, B-3590, Belgium.
Thomas NeyensL-BioStat, Department of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 35, Leuven, B-3000, Belgium.
Ellie D'HondtCascador Health - Fidux Health, 1A, Kardinaal Mercierlaan, Merelbeke-Melle, 9090, Belgium.
Caroline Van Cauwelaert *EPCON, Lange Gasthuisstraat 29/31, Antwerp, B-2000, Belgium.
Bert Vaes *Academic Center for General Practice, Department of Public Health and Primary Care, KU Leuven, 7001, Kapucijnenvoer 7, Leuven, B-3000, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAtherosclerotic cardiovascular disease (ASCVD) continues to pose a growing burden driven by aging, comorbidities, and socioeconomic vulnerability. Yet, the regional distribution of these disparities remains poorly characterized, partly because no single dataset provides comprehensive ASCVD surveillance data. To address this gap, we combined insights from small-area health insurance claims and individual-level primary care data to assess how socioeconomic vulnerability relates to ASCVD indicators across regional contexts in Belgium.

methodsWe conducted a cross-sectional study using two complementary data sources: (i) small-area ASCVD indicators from a nationwide health insurance organization and (ii) individual-level clinical diagnoses from a general practice (GP) registry in Flanders. A multidimensional small-area socioeconomic vulnerability index was constructed using established methodology. Associations were examined using Spearman correlation, Mann-Whitney U tests, bootstrapping, and hierarchical logistic regression models.

resultsBoth small-area health insurance claims data and small-area predictions derived from individual-level GP registry data revealed regional disparities in ASCVD prevalence that overlapped with patterns of socioeconomic vulnerability. Socioeconomic vulnerability was positively correlated with ASCVD prevalence at both small-area and individual levels. In the claims dataset, the median ASCVD prevalence was 1.57 times higher (95% CI: 1.46–1.65) in high-vulnerability areas compared with low-vulnerability areas. In the GP registry, overall ASCVD prevalence was 6.46%, with marked disparities by age, sex, socioeconomic status, and lipid-lowering medication. Increased compensation, a proxy for individual-level socioeconomic vulnerability, was associated with higher ASCVD prevalence, particularly among individuals not receiving lipid-lowering therapy. Small-area risk estimates of increased compensation derived from the GP registry showed moderate agreement with the multidimensional vulnerability index. An accompanying geoportal visualizes small-area data, enabling stakeholders to identify high-vulnerability areas and support targeted public health interventions.

conclusionCombining small-area health insurance claims with individual-level primary care data provides a more comprehensive framework for cardiovascular health surveillance, revealing socioeconomic disparities that are not fully captured by either dataset alone. The agreement between the findings from these data sources strengthens confidence in the observed spatial patterns and highlights regional inequalities in indicators of ASCVD prevalence across Belgium, underscoring the value of integrated data approaches for public health monitoring and the need for localized public health interventions addressing both area-level and individual-level social determinants of health.

Indexed as

Cardiovascular DiseasesInsurance, HealthPrimary Health CareAgedBelgiumCross-Sectional StudiesFemaleHumansInsurance Claim ReviewMaleMiddle AgedPrevalenceSmall-Area AnalysisSocioeconomic Disparities in HealthAtherosclerotic cardiovascular diseaseGeographic disparitiesHealth inequalitiesHealth insurance dataPrimary care dataPublic health surveillanceSmall-area dataSocioeconomic vulnerabilitySpatial epidemiology

Identifiers

PMID42026571
PMCPMC13244913

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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.