This registry-based study examined the long-term social and health-related consequences of ADHD, as well as the correlation between medication adherence and outcomes at age 30. Individuals with ADHD were identified in Danish national registries and matched with control subjects from the general population.

A key element of the project was the use of data from the Danish National Prescription Registry and the development of algorithms to calculate medication adherence—that is, how regularly prescribed medication was collected from the pharmacy. The algorithms were developed through close collaboration between clinical expertise, registry knowledge, and the construction of analysis-ready data.

The analyses showed that individuals with ADHD faced greater challenges regarding education and employment, higher healthcare costs, and more psychiatric comorbidity than the control group. No correlation was found between adherence to medical ADHD treatment and educational attainment by age 30.

i2minds contributed to the study design, data construction, and the development of algorithms for calculating medication adherence, as well as the execution of the statistical analyses. The project demonstrates how clinical knowledge and national registry data can be combined to shed light on the long-term consequences of disease and medical treatment across health, education, and the labor market.

This register-based study examined social, structural, and geographical differences in the dental health and dental care usage of older Danes throughout their lives. The study was conducted by VIVE in collaboration with i2minds and the University of Copenhagen.

Using cluster analysis, the elderly were divided into social groups based on their education and labor market attachment during their working lives. Data from the National Health Service Register were also used to develop algorithms that could classify the elderly by dental status based on patterns in their use of dental services.

Historical information on place of birth and parish was linked with data on the availability of municipal school dental care and the fluoride content of drinking water. This allowed for an investigation into the correlation between structural conditions during childhood and dental status later in life.

The analyses revealed significant social disparities in the dental status of the elderly. Among 60-year-olds, the long-term unemployed and disability pensioners had a 70 percent higher risk of poor dental status compared to the middle-income group. Among 70-year-olds, individuals who did not have access to municipal school dental care as children had an approximately 30 percent higher risk of poor dental status, while those raised in areas with higher fluoride content in their drinking water had a 30–50 percent lower risk.

As a subcontractor to VIVE, i2minds was responsible for data construction and statistical analysis, as well as significant portions of the report writing. The project demonstrates how register data, historical information, algorithm development, and cluster analysis can be combined to shed light on the impact of early-life social conditions and structural factors on health many decades later.

This registry-based study examined the association between sleep-disordered breathing, multimorbidity, and mortality among individuals aged 65 and older. The study included more than 21,000 patients with sleep-disordered breathing, who were matched with more than 86,000 control subjects from the general population.

The analyses showed that patients with sleep-disordered breathing had a higher prevalence of multimorbidity, particularly cardiovascular and metabolic diseases, as well as higher mortality compared to the control group.

i2minds contributed to the study design as well as the work with data and statistical analyses. The project demonstrates how national registry data and a matched study design can be used to identify disease patterns and risk profiles in large patient populations.

This study examined the health economic and socioeconomic consequences following the introduction of checkpoint inhibitor immunotherapy and targeted therapies for metastatic melanoma.

Clinical data from the Danish Metastatic Melanoma Database were linked with national registry data on healthcare services, drug costs, social benefits, and productivity. This combination made it possible to examine both treatment costs and broader consequences for patients and society.

The analyses showed that the number of long-term survivors increased following the introduction of the new treatments. While drug costs rose significantly, productivity among long-term survivors also increased.

i2minds contributed to the study design as well as the work on data and statistical analyses. The project demonstrates how clinical data and national health and socioeconomic registry data can be used in burden-of-illness analyses that shed light on the total economic consequences of disease and treatment for patients, the healthcare system, and society.

This evaluation examined the treatment program for individuals convicted of sexual offenses, focusing on the content and duration of the treatment as well as the risk of recidivism. The study included 580 individuals who were referred to the treatment program between 2006 and 2009.

Information collected during the referral and treatment process was combined with national crime registry data. This made it possible to track the individuals for ten years and analyze recidivism—that is, reoffending in the form of new sexual offenses, violence, or other criminal activity.

Using matched historical control groups, the recidivism rate among individuals in the treatment program was compared to the recidivism rate among individuals convicted of sexual offenses before the program was established. The analyses shed light on both the treatment program as a whole and the psychiatric and sexological treatment offered within the program.

i2minds conducted the statistical analyses of the combined dataset. The project demonstrates how data collected as part of a specific initiative can be linked with national registry data and control groups to examine long-term outcomes in a complex and socially sensitive area.