The DREAM database is feasible for follow-up of social and economic consequences of disease. Respondents may be unaware of payments transferred by the public authorities to the employer, and in such cases DREAM may be the best source of information. The database is useful for public health research, but may also be useful for socioeconomic analyses of selection bias and dropout from other studies.

Aims: In 2010 the five Danish regions and the National Institute of Public Health at the University of Southern Denmark conducted a national representative health survey among the adult population in Denmark. This paper describes the study design and the sample and study population as well as the content of the questionnaire. Methods: The survey was based on five regional stratified random samples and one national random sample. The samples were mutually exclusive. A total of 298,550 individuals (16 years or older) were invited to participate. Information was collected using a mixed mode approach (paper and web questionnaires). A questionnaire with a minimum of 52 core questions was used in all six subsamples. Calibrated weights were computed in order to take account of the complex survey design and reduce non-response bias. Results: In all, 177,639 individuals completed the questionnaire (59.5%). The response rate varied from 52.3% in the Capital Region of Denmark sample to 65.5% in the North Denmark Region sample. The response rate was particularly low among young men, unmarried people and among individuals with a different ethnic background than Danish. Conclusions: The survey was a result of extensive national cooperation across sectors, which makes it unique in its field of application, e.g. health surveillance, planning and prioritizing public health initiatives and research. However, the low response rate in some subgroups of the study population can pose problems in generalizing data, and efforts to increase the response rate will be important in the forthcoming surveys.

ObjectivesTo identify patterns of multimorbidity in the general population and examine how these patterns are related to socio-demographic factors and health-related quality of life.Study design and settingWe used latent class analysis to identify subgroups with statistically distinct and clinically meaningful disease patterns in a nationally representative sample of Danish adults (N = 162,283) aged 16+ years. The analysis was based on 15 chronic diseases.ResultsSeven classes with different disease patterns were identified: a class with no or only a single chronic condition (59% of the population) labeled “1) Relatively Healthy” and six classes with a very high prevalence of multimorbidity labeled; “2) Hypertension” (14%); “3) Musculoskeletal Disorders” (10%); “4) Headache-Mental Disorders” (7%); “5) Asthma-Allergy” (6%); “6) Complex Cardiometabolic Disorders” (3%); and “7) Complex Respiratory Disorders” (2%). Female gender was associated with an increased likelihood of belonging to any of the six multimorbidity classes except for class 2 (Hypertension). Low educational attainment predicted membership of all of the multimorbidity classes except for class 5 (Asthma-Allergy). Marked differences in health-related quality of life between the seven latent classes were found. Poor health-related quality of life was highly associated with membership of class 6 (Complex Cardiometabolic Disorders) and class 7 (Complex Respiratory Disorders). Despite different disease patterns, these two classes had nearly identical profiles in relation to health-related quality of life.ConclusionThe results clearly support that diseases tend to compound and interact, which suggests that a differentiated public health and treatment approach towards multimorbidity is needed.

In this study, we compared a new combination ointment containing both calcipotriol and betamethasone dipropionate with betamethasone dipropionate ointment (Diprosone) and calcipotriol ointment (Daivonex) in patients with psoriasis vulgaris; 1106 patients were randomized to twice daily double-blind treatment with combination, betamethasone dipropionate or calcipotriol for 4 weeks. Patients then received twice daily calcipotriol, unblinded, for a further 4 weeks. Mean percentage change in PASI at end of the double-blind phase was -74.4 (combination group), -61.3 (betamethasone group) and -55.3 (calcipotriol group). Mean difference (95% Cl) combination-betamethasone was -13.1 (-16.9 to -9.3, p < 0.001) and for combination-calcipotriol -19.0 (-22.8 to -15.2, p <0.001). The differences in PASI were also statistically significant after 1 week. In the double-blind phase, 8.1% of patients (combination) reported lesional/ perilesional adverse reactions compared to 4.7% (betamethasone) and 12.0% (calcipotriol). In the combination group, mean PASI at the end of the double-blind phase was 2.5, and at end of the unblinded phase 3.6, compared with 3.9 and 4.1 (betamethasone) and 4.4 and 3.7 (calcipotriol). Calcipotriol/betamethasone combination is more effective and has a more rapid onset of action than either active constituent used alone, and is well tolerated. It is safe to transfer patients from combination to calcipotriol, with maintenance of clinical effect.

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