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The Danish Depression Database

Overview of attention for article published in Clinical Epidemiology, October 2016
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Title
The Danish Depression Database
Published in
Clinical Epidemiology, October 2016
DOI 10.2147/clep.s100298
Pubmed ID
Authors

Poul Videbech, Anette Deleuran

Abstract

The purpose of the Danish Depression Database (DDD) is to monitor and facilitate the improvement of the quality of the treatment of depression in Denmark. Furthermore, the DDD has been designed to facilitate research. Inpatients as well as outpatients with depression, aged above 18 years, and treated in the public psychiatric hospital system were enrolled. Variables include whether the patient has been thoroughly somatically examined and has been interviewed about the psychopathology by a specialist in psychiatry. The Hamilton score as well as an evaluation of the risk of suicide are measured before and after treatment. Whether psychiatric aftercare has been scheduled for inpatients and the rate of rehospitalization are also registered. The database was launched in 2011. Every year since then ~5,500 inpatients and 7,500 outpatients have been registered annually in the database. A total of 24,083 inpatients and 29,918 outpatients have been registered. The DDD produces an annual report published on the Internet. The DDD can become an important tool for quality improvement and research, when the reporting is more complete.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Researcher 8 16%
Student > Master 7 14%
Student > Bachelor 4 8%
Other 3 6%
Other 7 14%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 10 20%
Nursing and Health Professions 6 12%
Social Sciences 5 10%
Psychology 5 10%
Agricultural and Biological Sciences 3 6%
Other 8 16%
Unknown 12 24%