학술논문
Investigating years of life lost in Belgium, 2004-2019: A comprehensive analysis using a probabilistic redistribution approach.
Document Type
Academic Journal
Author
Devleesschauwer B; Service Health Information, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, Brussels, 1050, Belgium. brecht.devleesschauwer@sciensano.be.; Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium. brecht.devleesschauwer@sciensano.be.; Scohy A; Service Health Information, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, Brussels, 1050, Belgium.; De Pauw R; Service Health Information, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, Brussels, 1050, Belgium.; Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium.; Gorasso V; Service Health Information, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, Brussels, 1050, Belgium.; Department of Public Health and Primary Care, Ghent University, Ghent, Belgium.; Kongs A; Department of Care, Flemish Public Administration, Brussels, Belgium.; Neirynck E; Statistics Belgium, Brussels, Belgium.; Verduyckt P; Brussels-Capital Health and Social Observatory, Brussels, Belgium.; Wyper GMA; Place and Wellbeing Directorate, Public Health Scotland, Glasgow, UK.; School of Health & Wellbeing, University of Glasgow, Glasgow, UK.; Van den Borre L; Service Health Information, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, Brussels, 1050, Belgium.; Interface Demography, Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium.
Source
Publisher: BioMed Central Country of Publication: England NLM ID: 9208826 Publication Model: Electronic Cited Medium: Print ISSN: 0778-7367 (Print) Linking ISSN: 07787367 NLM ISO Abbreviation: Arch Public Health Subsets: PubMed not MEDLINE
Subject
Language
English
ISSN
0778-7367
Abstract
Introduction: Information on years of life lost (YLL) due to premature mortality is instrumental to assess the fatal impact of disease and necessary for the calculation of Belgian disability-adjusted life years (DALYs). This study presents a novel method to reallocate causes of death data.
Materials and Methods: Causes of death data are provided by Statistics Belgium (Statbel). First, the specific ICD-10 codes that define the underlying cause of death are mapped to the GBD cause list. Second, ill-defined deaths (IDDs) are redistributed to specific ICD-10 codes. A four-step probabilistic redistribution was developed to fit the Belgian context: redistribution using predefined ICD codes, redistribution using multiple causes of death data, internal redistribution, and redistribution to all causes. Finally, we used the GBD 2019 reference life table to calculate Standard Expected Years of Life Lost (SEYLL).
Results: In Belgium, between 2004 and 2019, IDDs increased from 31 to 34% of all deaths. The majority was redistributed using predefined ICD codes (14-15%), followed by the redistribution using multiple causes of death data (10-12%). The total number of SEYLL decreased from 1.83 to 1.73 million per year. In 2019, the top cause of SEYLL was lung cancer with a share of 8.5%, followed by ischemic heart disease (8.1%) and Alzheimer's disease and other dementias (5.7%). All results are available in an online tool https://burden.sciensano.be/shiny/mortality2019/ .
Conclusion: The redistribution process assigned a specific cause of death to all deaths in Belgium, making it possible to investigate the full mortality burden for the first time. A large number of estimates were produced to estimate SEYLL by age, sex, and region for a large number of causes of death and every year between 2004 and 2019. These estimates are important stepping stones for future investigations on Disability-Adjusted Life Years (DALYs) in Belgium.
(© 2023. BioMed Central Ltd., part of Springer Nature.)
Materials and Methods: Causes of death data are provided by Statistics Belgium (Statbel). First, the specific ICD-10 codes that define the underlying cause of death are mapped to the GBD cause list. Second, ill-defined deaths (IDDs) are redistributed to specific ICD-10 codes. A four-step probabilistic redistribution was developed to fit the Belgian context: redistribution using predefined ICD codes, redistribution using multiple causes of death data, internal redistribution, and redistribution to all causes. Finally, we used the GBD 2019 reference life table to calculate Standard Expected Years of Life Lost (SEYLL).
Results: In Belgium, between 2004 and 2019, IDDs increased from 31 to 34% of all deaths. The majority was redistributed using predefined ICD codes (14-15%), followed by the redistribution using multiple causes of death data (10-12%). The total number of SEYLL decreased from 1.83 to 1.73 million per year. In 2019, the top cause of SEYLL was lung cancer with a share of 8.5%, followed by ischemic heart disease (8.1%) and Alzheimer's disease and other dementias (5.7%). All results are available in an online tool https://burden.sciensano.be/shiny/mortality2019/ .
Conclusion: The redistribution process assigned a specific cause of death to all deaths in Belgium, making it possible to investigate the full mortality burden for the first time. A large number of estimates were produced to estimate SEYLL by age, sex, and region for a large number of causes of death and every year between 2004 and 2019. These estimates are important stepping stones for future investigations on Disability-Adjusted Life Years (DALYs) in Belgium.
(© 2023. BioMed Central Ltd., part of Springer Nature.)