Dutch DALYs, current and future burden of disease in the Netherlands

Background The cause of death statistics in Germany include a relatively high share (26% in 2017) of ill-defined deaths (IDD). To make use of the cause of death statistics for Burden of Disease calculations we redistribute those IDD to valid causes of death.Methods The process of proportional redistribution is described in detail. It makes use of the distribution of the valid ICD-codes in the data. We use examples of stroke, diabetes, and heart failure to illustrate how IDD are reallocated. ResultsThe largest increases for both women and men can be found for lower respiratory infections, diabetes mellitus, and stroke. The numbers of deaths for these causes more than double after redistribution. ConclusionThis is the first comprehensive redistribution of IDD within the German cause of death statistics. Performing a redistribution is necessary, otherwise there would be an underreporting of certain causes of death or large numbers of deaths coded to residual or unspecific codes.

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“…In the Netherlands experts pursue a one-number-policy, they do not redistribute IDD but instead use the CoD statistics without adjustment [30].…”

Section: Discussionmentioning

confidence: 99%

Redistributing Ill-defined Causes of Death – A Case Study from the Burden 2020-Project in Germany

Wengler

Gruhl²,

Plaß

et al. 2020

Preprint

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“…The estimated burden of COVID-19 was lower than for high-burden non-communicable diseases, such as coronary heart disease (260,200 DALY in 2015) and stroke (228,300 DALY in 2015) [24]. However, as these estimates were derived with using national life expectancy tables for the Netherlands, DALY estimates would be considerably higher if GBD-2019 values were substituted.…”

Section: Comparison With the Burden Of Other Infectious And Chronic Diseasesmentioning

confidence: 93%

The estimated disease burden of acute COVID-19 in the Netherlands in 2020, in disability-adjusted life-years

McDonald¹,

Lagerweij²,

Boer³

et al. 2021

Preprint

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Background. The impact of the COVID-19 pandemic on population health is recognised as being substantial, yet few studies have attempted to quantify to what extent infection causes mild or moderate symptoms only, requires hospital and/or intensive care unit (ICU) admission, results in prolonged and chronic illness, or leads to premature death. Our objectives were to quantify the total disease burden of acute COVID-19 in the Netherlands in 2020 using the disability-adjusted life-years (DALY) measure, and to investigate how disease burden varies between age-groups and occupation categories.Methods. Using standard methods and diverse data sources (registered COVID-19 deaths, hospital and ICU admissions, population-level seroprevalence, mandatory notifications, and the literature) , we estimated the total years of life lost (YLL), years lived with disability (YLD), DALY and DALY per 100,000 population due to COVID-19, excluding its post-acute sequelae, and additionally stratified by 5-year age-group and occupation.Results. The total disease burden in the Netherlands in 2020 due to acute COVID-19 was 273,500 (95% CI: 268,500–278,800) DALY, and the per-capita burden was 1570 (95% CI: 1540–1600) DALY/100,000, of which 99.4% consisted of YLL. The per-capita burden increased steeply with age, starting from the 60-64 years age-group. The per-capita burden by occupation category was highest for healthcare workers and lowest for the catering sector.Conclusions. SARS-CoV-2 infection and associated premature mortality was responsible for a considerable direct health burden in the Netherlands, despite extensive public health measures. Total DALY were much higher than for other high-burden infectious diseases, but lower than the estimated annual burden from coronary heart disease. These findings are valuable for informing public health decision-makers regarding the expected health burden due to COVID-19 among subgroups of the population, and the possible gains from targeted preventative interventions.

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“…A review of BoD studies carried out in the European Union found that 85% (169/198) of studies covered in review looked at a small range of diseases or just risk factors and often for specific research purposes only [ 8 ]. For instance, the Serbian BoD study includes 18 selected diseases and 7 risk factors [ 42 ], the Scottish BoD investigates 132 diseases and injuries [ 30 ] and the Netherlands’ study covers 101 diseases and injuries [ 43 ]. Furthermore, studies concentrating only on one or few diseases are also performed frequently [ 39 , 44 ].…”

Section: Estimation Of Yldsmentioning

confidence: 99%

Reflections on key methodological decisions in national burden of disease assessments

et al. 2020

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Background Summary measures of population health are increasingly used in different public health reporting systems for setting priorities for health care and social service delivery and planning. Disability-adjusted life years (DALYs) are one of the most commonly used health gap summary measures in the field of public health and have become the key metric for quantifying burden of disease (BoD). BoD methodology is, however, complex and highly data demanding, requiring a substantial capacity to apply, which has led to major disparities across researchers and nations in their resources to perform themselves BoD studies and interpret the soundness of available estimates produced by the Global Burden of Disease Study. Methods BoD researchers from the COST Action European Burden of Disease network reflect on the most important methodological choices to be made when estimating DALYs. The paper provides an overview of eleven methodological decisions and challenges drawing on the experiences of countries working with BoD methodology in their own national studies. Each of these steps are briefly described and, where appropriate, some examples are provided from different BoD studies across the world. Results In this review article we have identified some of the key methodological choices and challenges that are important to understand when calculating BoD metrics. We have provided examples from different BoD studies that have developed their own strategies in data usage and implementation of statistical methods in the production of BoD estimates. Conclusions With the increase in national BoD studies developing their own strategies in data usage and implementation of statistical methods in the production of BoD estimates, there is a pressing need for equitable capacity building on the one hand, and harmonization of methods on the other hand. In response to these issues, several BoD networks have emerged in the European region that bring together expertise across different domains and professional backgrounds. An intensive exchange in the experience of the researchers in the different countries will enable the understanding of the methods and the interpretation of the results from the local authorities who can effectively integrate the BoD estimates in public health policies, intervention and prevention programs.

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Dutch DALYs, current and future burden of disease in the Netherlands

Cited by 19 publications

References 18 publications

Redistributing Ill-defined Causes of Death – A Case Study from the Burden 2020-Project in Germany

Redistributing Ill-defined Causes of Death – A Case Study from the Burden 2020-Project in Germany

The estimated disease burden of acute COVID-19 in the Netherlands in 2020, in disability-adjusted life-years

Reflections on key methodological decisions in national burden of disease assessments

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