title: The Danish Prostate Cancer Database.
abstract: The Danish Prostate Cancer Database (DAPROCAdata) is a nationwide clinical cancer database that has prospectively collected data on patients with incident prostate cancer in Denmark since February 2010. The overall aim of the DAPROCAdatais to improve the quality of prostate cancer care in Denmark by systematically collecting key clinical variables for the purposes of health care monitoring, quality improvement, and research.
  
  
  METHODS
  All Danish patients with histologically verified prostate cancer are included in the DAPROCAdata.
  
  
  METHODS
  The DAPROCAdataregisters clinical data and selected characteristics for patients with prostate cancer at diagnosis. Data are collected from the linkage of nationwide health registries and supplemented with online registration of key clinical variables by treating physicians at urological and oncological departments. Main variables include Gleason scores, cancer staging, prostate-specific antigen values, and therapeutic measures (active surveillance, surgery, radiotherapy, endocrine therapy, and chemotherapy).
  In total, 22,332 patients with prostate cancer were registered in DAPROCAdataas of April 2015. A key feature of DAPROCAdatais the routine collection of patient-reported outcome measures (PROM), including data on quality-of-life (pain levels, physical activity, sexual function, depression, urine and fecal incontinence) and lifestyle factors (smoking, alcohol consumption, and body mass index). PROM data are derived from questionnaires distributed at diagnosis and at 1-year and 3-year follow-up. Hitherto, the PROM data have been limited by low completeness (26% among newly diagnosed patients in 2014).
  
  
  CONCLUSIONS
  DAPROCAdatais a comprehensive, yet still young clinical database. Efforts to improve data collection, data validity, and completeness are ongoing and of high priority.
authors.affiliation: Department of Urology, Aarhus University Hospital, Aarhus; Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen.
authors.forename: Mary
authors.initials: M
authors.lastname: Nguyen-Nielsen
authors.affiliation: Department of Pathology, Aarhus University Hospital, Aarhus.
authors.forename: Søren
authors.initials: S
authors.lastname: Høyer
authors.affiliation: Danish Cancer Society Research Centre, Danish Cancer Society, Copenhagen.
authors.forename: Søren
authors.initials: S
authors.lastname: Friis
authors.affiliation: Department of Oncology, Odense University Hospital, Odense.
authors.forename: Steinbjørn
authors.initials: S
authors.lastname: Hansen
authors.affiliation: Copenhagen Prostate Cancer Center and Department of Urology, Rigshospitalet, University of Copenhagen, Copenhagen.
authors.forename: Klaus
authors.initials: K
authors.lastname: Brasso
authors.affiliation: Department of Urology, Næstved Hospital, Næstved.
authors.forename: Erik Breth
authors.initials: EB
authors.lastname: Jakobsen
authors.affiliation: Department of Oncology, Aalborg University Hospital, Aalborg.
authors.forename: Mette
authors.initials: M
authors.lastname: Moe
authors.affiliation: Department of Clinical Epidemiology, Aarhus University Hospital.
authors.forename: Heidi
authors.initials: H
authors.lastname: Larsson
authors.affiliation: Department of Clinical Epidemiology, Aarhus University Hospital.
authors.forename: Mette
authors.initials: M
authors.lastname: Søgaard
authors.affiliation: Department of Clinical Epidemiology, Aarhus University Hospital; Competence Centre for Health Quality and Informatics (KCKS-Vest), Aarhus, Denmark.
authors.forename: Anne
authors.initials: A
authors.lastname: Nakano
authors.affiliation: Department of Urology, Aarhus University Hospital, Aarhus.
authors.forename: Michael
authors.initials: M
authors.lastname: Borre
keywords: clinical quality indicators; database research; prostate cancer