Background: Obtaining reliable and detailed information about the population of individuals with diabetes mellitus (DM) in The Netherlands remains a persistent challenge. Previous studies used primary care coding and extrapolations to estimate the countrywide population of individuals with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). In this article, we present a design that aims to define and identify the population receiving treatment for DM in secondary care facilities in The Netherlands, encompassing both persons with T1DM and those with T2DM. Methods: We obtain information using reimbursement data accessible through the Vektis database, which contains information on 99.9% of the Dutch population, and combine these data with Statistics Netherlands data. The identification of subjects considered to have either T1DM or T2DM will be based on definitions derived from reimbursement details and the use of DM-associated medication (based on Anatomical Therapeutic Chemical codes) targeting both pediatric and adult populations over the years 2014–2024. Results: This combined approach will enable a more detailed characterization of the populations with DM treated in secondary care in The Netherlands using data on the total population. Ultimately, the data derived supports healthcare planning and policy making. Conclusions: This paper presents the design, search strategy and research questions related to this project.
Dijk et al. (Mon,) studied this question.