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i2minds specializes in data-driven research within health, psychiatry, and the labor market. Drawing on our methodological expertise, we collect and integrate complex data from various sources, transforming them into actionable insights through statistical analysis.
Complex data is transformed into actionable knowledge through robust study design, methodological expertise, and statistical analysis. i2minds specializes in registry-based research within health, psychiatry, and the labor market, and has contributed to more than 100 peer-reviewed scientific publications.
From the initial research question to the final publication, i2minds provides expertise in study design and protocols, data feasibility, data construction, statistical analysis, and dissemination.
Since 2009, we have conducted complex research projects and contributed to more than 100 peer-reviewed scientific publications, as well as a wide range of reports and analytical assignments.
Complex data is transformed into clear and actionable insights through professional expertise, well-documented methods, and an analysis model developed to create real value.
Complex data is transformed into clear and actionable insights through professional expertise, well-documented methods, and an analysis model developed to create real value.
Explore selected projects
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 over 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 rates compared to the control group.
i2minds contributed to the study design as well as the data processing 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 registry-based study examined the long-term social and health-related consequences of ADHD, as well as the association 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 association was found between adherence to medical ADHD treatment and educational attainment at 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.
International research publications based on data-driven analyses, method development, and statistical research.
International research publications based on data-driven analyses, method development, and statistical research.
