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Danish registers contain information on many important health and social issues. Because all Danish citizens have a unique personal identification number, linkage at the individual level between these nationwide registers and other data sources is possible and feasible. In this paper we briefly introduce selected Danish registers and the data structure and requirements forgetting access to data at Statistics Denmark, which is the main provider of register data. We introduce the Danish Data Archive and briefly present the Act on Processing of Personal Data, which is the legal foundation for analyses of register-based data in Denmark.

Population-based studies with information from registers can take place in Denmark due to linkage between registers at the individual level by means of a unique personal identification number (CPR-number), which all persons with residence in Denmark have. Registers with information on health can be linked to other population registers containing information on, for example, transfer payments, education, housing, income, and socioeconomic position. This article introduces a database and search engine, which is available for public health and welfare researchers as an aid to seek information on the content of important Danish registers.

Aims: Health expectancy represents the average lifetime in various states of health and differs among social groups. The purpose of the study was to determine trends in social inequality in health expectancy since 1994 between groups with high, medium and low educational levels in Denmark., Methods: The study was based on data from nationwide registers on educational level and mortality during the period 1994-2005 and data on health status derived from the Danish Health Interview Surveys carried out in 1994, 2000 and 2005. Expected lifetime in self-rated good and poor health, lifetime without and with longstanding illness and expected lifetime without and with long-lasting difficulties or restrictions were estimated by Sullivan's method., Results: Between 1994 and 2005, life expectancy at age 30 years increased by 1.9 years for men and 1.5 years for women with a low educational level. For people with a high educational level, the increase was 2.7 years for men and 2.2 years for women. The difference between people with low and high educational level in expected lifetime in self-rated good health increased by 2.0 and 1.3 years for 30-year-old men and women, respectively. The social gap also increased for other indicators., Conclusions: During the past 12 years, social inequality in life expectancy and health expectancy has increased in Denmark, but the proportion of the population with a low educational level has decreased.

Aims: Cross-country comparisons of mortality and longevity patterns of Nordic populations could contribute with novel insights into the compositional changes of these populations. We investigated three metrics of population ageing: the proportion of the population aged 75+ and 90+ years, the proportion of birth cohorts reaching 75 and 90 years, and life expectancy (LE) at age 75 and 90 years in Sweden, Norway, Iceland, Denmark and Finland, in the period 1990–2014. Methods: Demographic information was collected from national statistical databases and the Human Mortality Database. Results: All metrics on population ageing increased during the study period, but there were some cross-country variations. Finland experienced a notably steep increase in the proportion of 75+ and 90+ year olds compared to the other countries. Regarding the proportion reaching old ages, the Finnish lagged behind from the beginning, but females decreased this difference. The Danes were more similar to the other countries at the beginning, but did not experience the same increase over time. Gender-specific LE at age 75 and 90 years was similar overall in the five countries. Conclusions: Developments in cross-country variation suggest that survival until old age has become more similar for Finnish females and more different for Danish males and females compared with the other countries in recent decades. This provides perspectives on the potential to improve longevity in Denmark and Finland. Similarities in LE in old age suggest that expected mortality in old age has been more similar throughout the study period. [ABSTRACT FROM AUTHOR]

Aims: The aim of this study was twofold. Firstly we identified victims of violence in national registers and discussed strengths and weaknesses of this approach. Secondly we assessed the magnitude of violence and the characteristics of the victims using register-based data. Methods: We used three nationwide registers to identify victims of violence: The National Patient Register, the Victim Statistics, and the Causes of Death Register. We merged these data and assessed the degree of overlap between data sources. We identified a reference population by selecting all individuals in Denmark over 15 years of age that had not been exposed to violence. For the study population and the reference population, socioeconomic and demographic information were retrieved from Statistics Denmark. We used logistic regression models in a cross-sectional analysis to identify characteristics of victims of violence. Results: In 2006, 22,000 individuals were registered as having been exposed to violence. About 70% of these victims were men. Most victims were identified from emergency room contacts and police records, and few from the Causes of Death Register. There was some overlap between the two large data sources. We found significant differences between victims and non-victims according to socio-economic status, education, marital status, and ethnic origin, and also between victims by source of identification. Conclusions: We have identified a study population consisting of individual victims of violence that opens for further studies on violence. The use of different data sources is a strength but also a potential weakness to epidemiological, health economic, and other analyses using these data. [ABSTRACT FROM AUTHOR]

Aims : A study was undertaken on implementing medical data collection as a tool to assess the relative number and character of intentional injuries before and during an armed conflict. Methods : Data on hospital contacts due to intentional injury were collected retrospectively at two hospitals in West Bank, Palestine, and classified by ICD10 and the new International Classification of External Causes of Injuries (ICECI). A three-month period prior to the current Intifada, June-August 2000 and two three-month periods of the Intifada, September-December 2000 and June-August 2001 were chosen. Results : The number of contacts increased from 23 in the period prior to the Intifada to 740 during the first and 199 during the second period of the Intifada. During the period before the Intifada the victims were men, and no one was younger than 10 years. During the Intifada 9% were women, 3% below 10 years, and 9% aged 10-14 years. Prior to the Intifada all injuries were caused by blunt force. During the Intifada 65% of the injuries were caused by firearms or explosives, 19% by beating and 6% by gaseous substances. Among children most lesions were localized to the head, including eye and brain damage, and were mostly caused by firearms. Conclusions : Injury registration by ICD10 combined with ICECI codes facilitates analyses of correlations between characteristics of armed conflicts and injuries. Medical data collection is an important instrument in documentation of the effects of weapons and in surveillance of violations of humanitarian law, particularly as to the worrying magnitude of young children being seriously victimized. [ABSTRACT FROM AUTHOR]

Background: Priority setting in public health policy must be based on information on the effectiveness of alternative preventive and therapeutic interventions. The purpose of this study is to predict the effect on mortality from ischaemic heart disease (IHD) in Denmark of reduced exposure to the risk factors hypertension, hypercholesterolaemia, cigarette smoking, and physical inactivity. Methods: The simulation model, "Prevent", was used. The input data for the model were population size, death rates, prevalence of cardiovascular risk factors, and relative risks. Scenarios of the impact of reduced exposure to risk factors on mortality from IHD were studied, including the health benefits of successful implementation of some of the targets in the Danish Government programme for public health and health promotion, 1999-2008. Results: The greatest reduction in mortality from IHD would be achieved by interventions against cigarette smoking. If the proportion of cigarette smokers could be reduced by one-third within 10 years, the number of deaths due to IHD among people under 65 would be 10% lower for men and 15% lower for women. If the proportion of heavy smokers or the proportion of people with hypertension were reduced by 25%, the rate of mortality from IHD would be 5% lower for men and 6-7% lower for women. Reducing the number of cases of severe hypercholesterolaemia by 25% would lower the IHD mortality rate before age 65 by 3% for men and 6% for women after 15 years, similar to the effect of easy exercise for at least 4 hours a week among physically inactive people. [ABSTRACT FROM AUTHOR]

Cross-national comparisons and ranking of summary measures of population health sometimes give rise to inconsistent and diverging conclusions. In order to minimise confusion, international comparative studies ought to be based on well-harmonised data with common standards of definitions and documentation. Calculation methods and results should be communicated clearly and exactly. [ABSTRACT FROM PUBLISHER]

Aims: A newly published study showed that the life expectancy for Danes was below the European Union (EU) average. Furthermore, the study showed that healthy life years (HLYs) at 50 years of age were much higher in Denmark than in the other EU countries in 2005. However, the results of this study should be interpreted with caution. Methods: The analyses regarding HLYs were based on the global long-term activity limitation index as a measure of disability and were included in the EU Survey on Income and Living Condition (EU-SILC). In Denmark two response categories were used to asses longterm activity limitation (yes; no) compared to three levels in all other countries (severely limited; limited but not severely; none). In addition, the wording of the question in Denmark makes cross-national comparisons even more inadequate. The questions and the response categories were revised in the Danish SILC-2008. Results: A comparison of the previous and the revised indicator shows that the estimated number of HLYs at 50 years of age is approximately three years lower for both men and women in 2008 than in 2005. Furthermore, in Denmark data was collected via telephone interviews or postal questionnaires. However, in almost all other countries data was collected via face-to-face interviews. It is well known that the mode of data collection may affect response distributions. Conclusions: Results based on non-harmonized indicators should always be interpreted cautiously to avoid policy-makers and others reaching erroneous conclusions. [ABSTRACT FROM AUTHOR]

The article presents the author's viewpoint on the use of Health Impact Assessments (HIA), as a tool for policy and decision making. He claims that HIA is helpful in predicting the future health consequences of implementing any policy related to public health. He also talks about some models for health assessment. He informs that health models related to coronary heart diseases are popular. While another successful model is the "Prevent model," used in estimating the healthcare cost of smoking.