scholarly journals Environmental Burden of Disease in the Netherlands

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
H Hilderink ◽  
D Schram ◽  
M Plasmans

Abstract Background RIVM-National Institute for Public Health and the Environment published as part of the 2018 Dutch Public Health Foresight report, an update of the Disease Burden, including the Environmental Burden of disease. This report is not only relevant for the Ministry of Health but also for other policy arenas, to support policy making with the objective of improving health. Methods Environment factors are distinguished by indoor and outdoor environment. The following environmental factors have been taken into account; Air pollution (PM10/NO2), UV radiation, noise, second-hand smoking, carbon monoxide poisoning and indoor dampness. The effects of chemical substances are not included. Making use of the population attributable fraction, the fraction part of mortality, disease burden and health care expenditures attributable to environmental factors is calculated. For this method, data on exposure as well as the dose-response relationship (relative risks) are used. Results Some 4% of the disease burden in the Netherlands is caused by environmental factors and that costs us more than 1 billion euros of care per year. This corresponds with 200,000 DALYs; of which 175,000 by outside environment and 25,000 by indoor environment. In total, almost 13000 deaths can be attributed to environmental factors. Air pollution causes by far most of this disease burden. After that, exposure to UV radiation and second-hand smoking rank highest. Conclusions A considerable disease burden, number of deaths and health expenditures is attributable to environmental factors and could at least in theory be avoided by improving our environment. Air pollution in particular plays an important role in this. In addition, even a greater health gain could be achieved if environment factors are tackled and healthy behavior is at the same time stimulated.

2020 ◽  
Vol 78 (1) ◽  
Author(s):  
Henk B. M. Hilderink ◽  
Marjanne H. D. Plasmans ◽  
M. J. J. C. Poos ◽  
Petra E. D. Eysink ◽  
Ronald Gijsen

Abstract Background The Disability Adjusted Life Year (DALY) is a measure to prioritize in the public health field. In the Netherlands, the DALY estimates are calculated since 1997 and are included in the Public Health Status and Foresight studies which is an input for public health priority setting and policy making. Over these 20 years, methodological advancements have been made, including accounting for multimorbidity and performing projections for DALYs into the future. Most important methodological choices and improvements are described and results are presented. Methods The DALY is composed of the two components years of life lost (YLL) due to premature mortality and years lost due to disability (YLD). Both the YLL and the YLD are distinguished by sex, age and health condition, allowing aggregation to the ICD-10 chapters. The YLD is corrected for multimorbidity, assuming independent occurrence of health conditions and a multiplicative method for the calculation of combined disability weights. Future DALYs are calculated based on projections for causes of death, and prevalence and incidence. Results The results for 2015 show that cancer is the ICD-10 chapter with the highest disease burden, followed by cardiovascular diseases and mental disorders. For the individual health conditions, coronary heart disease had the highest disease burden in 2015. In 2040, we see a strong increase in disease burden of dementia and arthrosis. For dementia this is due to a threefold increase in dementia as a cause of death, while for arthrosis this is mainly due to the increase in prevalence. Conclusions To calculate the DALY requires a substantial amount of data, methodological choices, interpretation and presentation of results, and the personnel capacity to carry out all these tasks. However, doing a National Burden of Disease study, and especially doing that for more than 20 years, proved to have an enormous additional value in population health information and thus supports better public health policies.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Mughini Gras

Abstract In the Netherlands, the Ministry of Health mandates the National Institute for Public Health and the Environment (RIVM) to provide annual updates of the number of illnesses, disease burden and cost-of-illness caused by an agreed-upon standard panel of 14 enteric pathogens. These pathogens are mainly transmitted by food, but also via direct contact with animals, environment-mediated and human-to-human transmission routes. The disease burden is expressed in DALYs (Disability Adjusted Life Years), a metric integrating morbidity and mortality into one unit. Furthermore, the cost-of-illness (COI) related to these 14 pathogens is estimated and expressed in euros. The COI estimates include healthcare costs, the costs for the patient and/or his family, such as travel expenses, as well as costs in other sectors, for example due to productivity losses. Moreover, using different approaches to source attribution, the estimated DALYs and associated COI estimates are attributed to five major transmission pathways (i.e. food, environment, direct animal contact, human-human transmission, and travel) and 11 food groups within the foodborne pathway itself. The most recent DALY and COI estimates referring to the year 2018 show that the 14 pathogens in question are cumulatively responsible for about 11,000 DALYs and €426 million costs for the Dutch population in 2018, with a share for foodborne transmission being estimated at 4,300 DALYs and €171 million costs, which is comparable to previous years. These estimates have been providing vital insights for policy making as to guide public health interventions and resource allocation for over two decades in the Netherlands. Herewith, the approach and outcomes of the burden of disease and COI estimates in the Netherlands will be presented, with a focus on how these estimates enable policy-makers and the scientific community to monitor trends, generate scientific hypotheses, and undertake public health actions.


2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Susan Greco ◽  
Jinhee Kim ◽  
Chris Drudge ◽  
Stephanie Young ◽  
Elaina MacIntyre ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
◽  

Abstract Despite increased political attention, foodborne diseases (FBD) still cause a substantial public health, economic and social burden worldwide. Recognizing the need to measure the burden of FBD and encourage evidence-informed policies, in 2015 the World Health Organization reported the first estimates of global and regional disease burden due to 31 foodborne hazards. Results showed that each year 1 in 10 people get ill from food contaminated with pathogens or chemicals, resulting in 600 million cases, 420,000 deaths and the loss of 33 million healthy years globally. While these estimates were crucial to raise awareness, they were the product of an enormous research initiative that faced substantial data gaps. Importantly, they did not offer the precision needed to identify priorities at national level, and were not able to make use of all data resources available. Precise national disease burden estimates are essential to identify the most important diseases and hazards in a country, the foods contributing most to these diseases, and the interventions need to effectively prevent disease. In recent years, various countries have recognized the need for studies of the national burden of FBD, and have taken steps to implement them. Despite progress, these are still a minority, and mostly representing high income countries in few regions of the world; many other countries still lack awareness, resources, and data to estimate burden and rank FBDs. Furthermore, the current burden of disease landscape remains scattered, and researchers struggle to translate their findings to decision makers. The recently established European Burden of Disease Network (burden-eu, COST Action 18218) will address these challenges by acting as a technical platform for integrating and strengthening capacity in burden of disease assessment across Europe and beyond. Burden-eu currently gathers members from 37 European countries and observers from non-European countries and international organizations, and has a working group focusing on foodborne diseases. This workshop consists of four presentations. In the first, an example of a well-established national burden of disease study is presented, and the utility of its results for policy making and establishing public health priorities are discussed. Next, main challenges to estimating burden of FBD in developing countries, and the experience and opportunities deriving from a large-scale research in this setting are presented. The fourth presentation will focus on the role of international organizations, in particularly the WHO, in supporting countries to develop capacity, implement and maintain country-level burden of disease studies. The workshop will end with ample time for discussions on current approaches and opportunities for methodological developments, challenges, possible solutions and potential for collaborations to increase implementation and utility of studies of FBD burden globally. Key messages National burden of foodborne disease studies are essential to establish food safety as a public health priority, identify the most important food safety problems, and inform prevention strategies. Different initiatives are emerging to support international collaboration across countries and public health authorities worldwide.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  

Abstract Information on disease burden, risk factors, related healthcare costs and their variations over time represents a major concern for public health decision makers. These data could contribute to define priorities and strategies, to allocate resources and to evaluate health policies and interventions at regional and national levels. In this context, the use and synthesis of all available data is essential, whether these data were collected for the purpose of epidemiological surveillance, healthcare, research, and/or reimbursement. This process raises conceptual and methodological issues. The question of the use of these data by decision-makers is also essential and depends not only on their validity, but also on their credibility, their usability, and their capacity to respond to needs in the context of decision. There are now national experiences of production and use of these data. There are also international collaborations. In particular, the Global Burden of Disease (GBD) Study is an extremely structured process with extensive global collaboration. The aim of this workshop is to exchange and share experiences on the different approaches, indicators, methods used in order to quantify the burden of disease; the use of health insurance databases as a source of data for quantifying burden of disease; the use of burden of disease information by public health decision-makers at national and local levels. Key messages Disease burden statistics are a resource for data-informed policy-making. Health insurance databases are a complementary source for quantifying disease burden.


2021 ◽  
Author(s):  
Scott A. McDonald ◽  
Giske R. Lagerweij ◽  
Pieter de Boer ◽  
Hester E. de Melker ◽  
Roan Pijnacker ◽  
...  

Abstract 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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