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

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.

Accounting for multimorbidity can affect the estimation of the Burden of Disease: a comparison of approaches.

BACKGROUND: Various Burden of Disease (BoD) studies do not account for multimorbidity in their BoD estimates. Ignoring multimorbidity can lead to inaccuracies in BoD estimations, particularly in ageing populations that include large proportions of persons with two or more health conditions. The objective of this study is to improve BoD estimates for the Netherlands by accounting for multimorbidity. For this purpose, we analyzed different methods for 1) estimating the prevalence of multimorbidity and 2) deriving Disability Weights (DWs) for multimorbidity by using existing data on single health conditions. METHODS: We included 25 health conditions from the Dutch Burden of Disease study that have a high rate of prevalence and that make a large contribution to the total number of Years Lived with a Disability (YLD). First, we analyzed four methods for estimating the prevalence of multimorbid conditions (i.e. independent, independent age- and sex-specific, dependent, and dependent sex- and age-specific). Secondly, we analyzed three methods for calculating the Combined Disability Weights (CDWs) associated with multimorbid conditions (i.e. additive, multiplicative and maximum limit). A combination of these two approaches was used to recalculate the number of YLDs, which is a component of the Disability-Adjusted Life Years (DALY). RESULTS: This study shows that the YLD estimates for 25 health conditions calculated using the multiplicative method for Combined Disability Weights are 5 % lower, and 14 % lower when using the maximum limit method, than when calculated using the additive method. Adjusting for sex- and age-specific dependent co-occurrence of health conditions reduces the number of YLDs by 10 % for the multiplicative method and by 26 % for the maximum limit method. The adjustment is higher for health conditions with a higher prevalence in old age, like heart failure (up to 43 %) and coronary heart diseases (up to 33 %). Health conditions with a high prevalence in middle age, such as anxiety disorders, have a moderate adjustment (up to 13 %). CONCLUSIONS: We conclude that BoD calculations that do not account for multimorbidity can result in an overestimation of the actual BoD. This may affect public health policy strategies that focus on single health conditions if the underlying cost-effectiveness analysis overestimates the intended effects. The methodology used in this study could be further refined to provide greater insight into co-occurrence and the possible consequences of multimorbid conditions in terms of disability for particular combinations of health conditions.

[Health and disease in the Netherlands: the Dutch National Public Health Compass as a source of information]. / Gezondheid en ziekte in Nederland; het Nationaal Kompas Volksgezondheid als informatiebron.

--The Dutch National Public Health Compass has been available on the Internet (www.nationaalkompas.nl) since 2001. This website, developed and managed by the National Institute for Public Health and the Environment, contains data and information on the population's health status, its determinants, prevention and care. The Compass brings together information from various data sources, research and expert opinions. --On the basis of this Compass, an overview has been made of the health of the Dutch population. --Both the life expectancy and the healthy life expectancy in the Netherlands increased after 1980. --Mortality from coronary heart disease, cerebrovascular accidents and lung cancer decreased, but they are still the most important causes of death. --Especially psychological disorders (alcohol dependence, anxiety disorders and depression), coronary heart disease and COPD are associated with a significant decrease in quality of life. --There are important health differences in the Netherlands between rich and poor, urban and rural areas, natives and immigrants. --The difference in life expectancy between men and women will decrease from more than 5 years in 2000 to less than 4 years in 2020. --A permanent facility for the provision of accurate public-health information is of great importance. The collaboration of registration holders and experts in maintaining the Compass is and will remain essential so that an integral overview of the health of the Dutch population can also be made in the future.

Health status and the challenges for prevention in The Netherlands.

In 2002, the third Public Health Status and Forecasts report was published, containing up-to-date information about Dutch public health and health care. A striking finding was that although life expectancy (LE) in The Netherlands increased between 1980 and 2000, the LE of men is rising less rapidly than the European Union (EU) average. The LE of Dutch women is stagnating and has now fallen below the EU average. These and many other unfavourable trends in the health status of the Dutch population were found to be largely due to unhealthy behaviour. One of the policy recommendations therefore was to strengthen the investments in prevention in order to reverse the stagnation in health status. In response to the findings, the Ministry of Health, Welfare and Sport published the National Prevention Paper. This Paper states that the Ministry, within the existing prevention policy, will pay more attention to healthy behaviour, stressing the responsibility of citizens as well as the societal responsibility of other parties, such as business communities, schools, health insurers and care suppliers. The prevention of specific diseases (diabetes, psychosocial problems, heart diseases, cancer, musculosceletal disorders, asthma and chronic obstructive pulmonary disease) has been given priority status. In this article, we present the major findings regarding the health status of the Dutch population and discuss the implications for prevention policy.