PainData: A clinical pain registry in Denmark.

Aims Chronic pain is a significant clinical problem with few effective therapies. Objectives of this clinical registry are (1) to assist clinical decision-making, and (2) facilitate quality assurance and research projects to improve understanding and optimize treatment of patients with chronic pain. Methods PainData is an electronic software system developed for online data capture and clinical reporting, currently implemented in public pain clinics in Odense, Silkeborg, Aalborg, Næstved, Køge and Holbæk. The system captures patient-specific information across several bio-psychosocial domains of pain before the first consultation at the pain clinic as well as immediately after treatment, and 12 months after treatment. The registry also includes information from clinicians (e.g. pain diagnosis, and standardized pain sensitivity testing). PainData is registered as a clinical and research database with the Danish Data Protection Agency (16/39398, 14/44319). Results Since February 1st 2015 more than 3000 patients have completed questionnaires in PainData. The current completion rate at baseline is >80% and at follow-up is close to 50%. Pain-related data (e.g. pain-distribution, psychological distress and use of analgesics) from the registry will be presented on the poster. Conclusions The clinical pain registry contains data from a large cohort of consecutively referred chronic pain patients attending public pain clinics for multidisciplinary assessment and treatment. It contains detailed baseline and outcome data on a broad range of bio-psychosocial factors. The database has significant clinical relevance as it will contribute to an increased understanding of chronic pain conditions as well as contribute to substantial knowledge on how various psychological factors influence the experience of pain and disability in patients with chronic pain. In addition, early prediction of treatment efficacy and future stratification of patients with chronic pain has the potential to optimize treatment outcome. This will be of great interest to both the individual patient and to society.