AI Article Synopsis

  • The Danish National Diabetes Register (NDR), established in 2006, shows a high completeness rate (≥95%) in collecting diabetes-related data from various health registers, but there are notable biases in its inclusions.
  • The algorithm's exclusion of pre-1990 hospital contacts results in a delay in determining inclusion dates for many registrants, especially those from 1997 or earlier.
  • Furthermore, about 20% of registrations may incorrectly include individuals without diabetes, highlighting the need for improvements to enhance the validity of the data and reduce misclassifications.

Article Abstract

The Danish National Diabetes Register (NDR) was established in 2006 and builds on data from Danish health registers. We validated the content of NDR, using full information from the Danish National Patient Register and data from the literature. Our study indicates that the completeness in NDR is ≥95% concerning ascertainment from data sources specific for diabetes, ie, prescriptions with antidiabetic drugs and diagnoses of diabetes in the National Patient Register. Since the NDR algorithm ignores diabetes-related hospital contacts terminated before 1990, the establishment of the date of inclusion is systematically delayed for ≥10% of the registrants in general and for ≥30% of the inclusions before 1997 in particular. This bias is enhanced for ascertainment by chiropody services and by frequent measurements of blood glucose because the date of reimbursement of services, rather than the date of encounter, has been taken as the date of inclusion in NDR. We also find that some 20% of the registrations in NDR may represent false positive inclusions of persons with frequent measurements of blood glucose without having diabetes. We conclude that NDR is a novel initiative to support research in the epidemiological and public health aspects of diabetes in Denmark, but we also present a list of recommended changes for improving validity, by reducing the impact of current sources of bias and misclassifications.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4274151PMC
http://dx.doi.org/10.2147/CLEP.S72768DOI Listing

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