The Danish Civil Registration System as a tool in epidemiology
By M. Schmidt, L. Pedersen, H. Sørensen. European Journal of Epidemiology, 2014
3,234 citations recorded by the source corpus.
Subfields: Emergency Medicine, Health, Oncology
View Paper: https://www.semanticscholar.org/paper/7c11a3e41aa8ef6d4183301f4c406998f8eeef1a
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Citations in the corpus
- Positive predictive value of cardiovascular diagnoses in the Danish National Patient Registry: a validation study (2016, methodology): “Within the Central Denmark Region, we sampled specifically from the university hospital (Aarhus University Hospital) and two regional hospitals (Regional Hospitals of Randers and Herning).(8) The DNPR has recorded data on dates of admission and discharge from all Danish non-psychiatric hospitals sin”
- Data Resource Profile: The Danish National Prescription Registry (2016, methodology): “surveys) using the 10-digit personal identifier previously described.(2) The most important differences between the platforms at Statistics Denmark and the Danish Health Data Authority pertains to data recency and linkage to socioeconomic registries (Table 3).”
- The Danish Medical Birth Register (2018, methodology): “Some of these are drawn directly from the Civil Registration System, which hold very high validity, and others are mandatory to report when the newborn is registered after delivery.”
- The Danish health care system and epidemiological research: from health care contacts to database records (2019, background): “For both Group 1 andGroup 2members, hospital treatment requires referral, but is free of charge.(3)”
- The Danish National Patient Registry: a review of content, data quality, and research potential (2015, methodology): “Denmark had 5,580,516 inhabitants in 2012, excluding inhabitants of Greenland and the Faroe Islands.20 Although these areas are part of the Kingdom of Denmark, they are not covered by the DNPR.”
- Vagotomy and subsequent risk of Parkinson's disease (2015, methodology): “We used the Danish Civil Registration System to assemble a matched general population comparison cohort of individuals, who had not undergone vagotomy as of the surgery date of the corresponding patient (the index date).(15) We randomly selected up to 10 persons from the general population for each ”