The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The Danish National Patient Registry: a review of content, data quality, and research potential
Open accessAbstract
BACKGROUND: The Danish National Patient Registry (DNPR) is one of the world's oldest nationwide hospital registries and is used extensively for research. Many studies have validated algorithms for identifying health events in the DNPR, but the reports are fragmented and no overview exists. OBJECTIVES: To review the content, data quality, and research potential of the DNPR. METHODS: We examined the setting, history, aims, content, and classification systems of the DNPR. We searched PubMed and the Danish Medical Journal to create a bibliography of validation studies. We included also studies that were referenced in retrieved papers or known to us beforehand. Methodological considerations related to DNPR data were reviewed. RESULTS: During 1977-2012, the DNPR registered 8,085,603 persons, accounting for 7,268,857 inpatient, 5,953,405 outpatient, and 5,097,300 emergency department contacts. The DNPR provides nationwide longitudinal registration of detailed administrative and clinical data. It has recorded information on all patients discharged from Danish nonpsychiatric hospitals since 1977 and on psychiatric inpatients and emergency department and outpatient specialty clinic contacts since 1995. For each patient contact, one primary and optional secondary diagnoses are recorded according to the International Classification of Diseases. The DNPR provides a data source to identify diseases, examinations, certain in-hospital medical treatments, and surgical procedures. Long-term temporal trends in hospitalization and treatment rates can be studied. The positive predictive values of diseases and treatments vary widely (<15%-100%). The DNPR data are linkable at the patient level with data from other Danish administrative registries, clinical registries, randomized controlled trials, population surveys, and epidemiologic field studies - enabling researchers to reconstruct individual life and health trajectories for an entire population. CONCLUSION: The DNPR is a valuable tool for epidemiological research. However, both its strengths and limitations must be considered when interpreting research results, and continuous validation of its clinical data is essential.
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Cites
Benchimol, E. I., Smeeth, L., Guttmann, A., Harron, K., Moher, D., Petersen, I., Sørensen, H. T., von Elm, E., Langan, S. M., & RECORD Working Committee (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001885 · Cited by 5,749
Self-citationExternal review and validation of the Swedish national inpatient register
Ludvigsson, J. F., Andersson, E., Ekbom, A., Feychting, M., Kim, J.-L., Reuterwall, C., Heurgren, M., & Olausson, P. O. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-450 · Cited by 5,055
Data Resource Profile: Clinical Practice Research Datalink (CPRD)
Herrett, E., Gallagher, A. M., Bhaskaran, K., Forbes, H., Mathur, R., van Staa, T., & Smeeth, L. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv098 · Cited by 2,667 · cited 1×
“Also, the United Kingdom’s Clinical Practice Research Datalink has recorded detailed information on both diagnoses and prescriptions in primary care since 1987 but covers only part of the population and lacks information on patients who leave participating practices.(8) In the United States, the collection of routine…”
BackgroundThe Danish Psychiatric Central Research Register
Mors, O., Perto, G. P., & Mortensen, P. B. (2011) · Scandinavian Journal of Public Health · doi:10.1177/1403494810395825 · Cited by 1,589
Lidegaard, O., Nielsen, L. H., Skovlund, C. W., Skjeldestad, F. E., & Lokkegaard, E. (2011) · BMJ · doi:10.1136/bmj.d6423 · Cited by 608
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Validity of Dementia Diagnoses in the Danish Hospital Registers
Phung, T. K. T., Andersen, B. B., Høgh, P., Kessing, L. V., Mortensen, P. B., & Waldemar, G. (2007) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000107084 · Cited by 279
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Association between Mental Disorders and Subsequent Medical Conditions
Momen, N. C., Plana-Ripoll, O., Agerbo, E., Benros, M. E., Børglum, A. D., Christensen, M. K., Dalsgaard, S., Degenhardt, L., de Jonge, P., Debost, J.-C. P. G., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa1915784 · Cited by 481
Self-citationPottegård, A., Lund, L. C., Karlstad, Ø., Dahl, J., Andersen, M., Hallas, J., Lidegaard, Ø., Tapia, G., Gulseth, H. L., Ruiz, P. L.-D., et al. (2021) · BMJ · doi:10.1136/bmj.n1114 · Cited by 401
Self-citationA deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Placido, D., Yuan, B., Hjaltelin, J. X., Zheng, C., Haue, A. D., Chmura, P. J., Yuan, C., Kim, J., Umeton, R., Antell, G., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02332-5 · Cited by 349
Thorsen-Meyer, H.-C., Nielsen, A. B., Nielsen, A. P., Kaas-Hansen, B. S., Toft, P., Schierbeck, J., Strøm, T., Chmura, P. J., Heimann, M., Dybdahl, L., et al. (2020) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30018-2 · Cited by 336
Ravn-Nielsen, L. V., Duckert, M.-L., Lund, M. L., Henriksen, J. P., Nielsen, M. L., Eriksen, C. S., Buck, T. C., Pottegård, A., Hansen, M. R., & Hallas, J. (2018) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2017.8274 · Cited by 310
Metadata
- Authors
- Schmidt, M., Schmidt, S. A. J., Sandegaard, J. L., Ehrenstein, V., Pedersen, L., & Sørensen, H. T.
- Venue
- Clinical Epidemiology
- Publisher
- Informa UK Limited
- Published
- 2015-11
- Volume
- 7
- Pages
- 449
- ISSN
- 1179-1349 (ISSN-L)
- OpenAlex
- W2219591537
- Cited by
- 4,769
- References
- 7
- FWCI
- 313.74
- Type
- journal article
- Language
- en
- Open access
- gold
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