Literature DB >> 32473285

Creating the BELgian COngenital heart disease database combining administrative and clinical data (BELCODAC): Rationale, design and methodology.

Fouke Ombelet1, Eva Goossens2, Ruben Willems3, Lieven Annemans3, Werner Budts4, Julie De Backer5, Katya De Groote6, Stéphane Moniotte7, Liesbet Van Bulck8, Ariane Marelli9, Philip Moons10.   

Abstract

BACKGROUND: Congenital heart disease (CHD) entails a broad spectrum of malformations with various degrees of severity and prognosis. Consequently, new and specific healthcare needs are emerging, requiring responsive healthcare provision. Research on this matter is predominantly performed on population-based databases, to inform clinicians, researchers and policy-makers on health outcomes and economic burden of CHD. Most databases contain data either from administrative sources or from clinical systems. We describe the methodological design of the BELgian COngenital Heart Disease Database combining Administrative and Clinical data (BELCODAC), to investigate patients with CHD.
METHODS: Data on clinical characteristics from three university hospitals in Belgium (Leuven, Ghent and Brussels) were merged with mortality and socio-economic data from the official Belgian statistical office (StatBel), and with healthcare use data from the InterMutualistic Agency, an overarching national organization that collects data from the seven sickness funds for all Belgian citizens. Over 60 variables with multiple entries over time are included in the database.
RESULTS: BELCODAC contains data on 18,510 patients, of which 8926 patients (48%) have a mild, 7490 (41%) a moderately complex and 2094 (11%) a complex anatomical heart defect. The most prevalent diagnosis is Ventricular Septal Defect in 3879 patients (21%), followed by Atrial Septal Defect in 2565 patients (14%).
CONCLUSIONS: BELCODAC comprises longitudinal data on patients with CHD in Belgium. This will help build evidence-based provision of care to the changing CHD population.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Belgium; Congenital heart disease; Database management systems; Health services research

Mesh:

Year:  2020        PMID: 32473285     DOI: 10.1016/j.ijcard.2020.05.059

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  3 in total

1.  Different levels of care for follow-up of adults with congenital heart disease: a cost analysis scrutinizing the impact on medical costs, hospitalizations, and emergency department visits.

Authors:  Julie De Backer; Lieven Annemans; Ruben Willems; Fouke Ombelet; Eva Goossens; Katya De Groote; Werner Budts; Stéphane Moniotte; Michèle de Hosson; Liesbet Van Bulck; Ariane Marelli; Philip Moons
Journal:  Eur J Health Econ       Date:  2021-04-09

Review 2.  Changing epidemiology of congenital heart disease: effect on outcomes and quality of care in adults.

Authors:  Aihua Liu; Gerhard-Paul Diller; Philip Moons; Curt J Daniels; Kathy J Jenkins; Ariane Marelli
Journal:  Nat Rev Cardiol       Date:  2022-08-31       Impact factor: 49.421

3.  Medicine-Based Evidence in Congenital Heart Disease: How Artificial Intelligence Can Guide Treatment Decisions for Individual Patients.

Authors:  Jef Van den Eynde; Cedric Manlhiot; Alexander Van De Bruaene; Gerhard-Paul Diller; Alejandro F Frangi; Werner Budts; Shelby Kutty
Journal:  Front Cardiovasc Med       Date:  2021-12-02
  3 in total

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