Depression, Comorbidities, and Prescriptions of Antidepressants in a German Network of GPs and Specialists with Subspecialisation in Anthroposophic Medicine: A Longitudinal Observational Study. (6th December 2012)

• Record Type: Journal Article
• Authors: Jeschke, Elke; Ostermann, Thomas; Vollmar, Horst C.; Tabali, Manuela; Matthes, Harald
• Other Names: Melzer Jörg Academic Editor.
• Is Part Of: Evidence-based complementary and alternative medicine. Volume 2012(2012)
• Publication Date: 2012-12-06
• Subjects: Alternative medicine -- Periodicals; 615.505
• DOI: 10.1155/2012/508623
• Languages: English
• ISSNs: 1741-427X

Abstract

Abstract : Background . Depression is a major reason for counselling in primary care. Our study aims at evaluating pharmacological treatment strategies among physicians specialised in anthroposophic medicine (AM). Methods . From 2004 to 2008, twenty-two German primary care AM-physicians participated in this prospective, multicentre observational study. Multiple logistic regression was used to determine factors associated with a prescription of any antidepressant medication. Results . A total of 2444 patients with depression were included (mean age: 49.1 years (SD: 15.4); 77.3% female). 2645 prescriptions of antidepressants for 833 patients were reported. Phytotherapeutic preparations from Hypericum perforatum were the most frequently prescribed antidepressants over all (44.6% of all antidepressants), followed by amitriptyline (16.1%). The likelihood of receiving an antidepressant medication did not depend on comorbidity after controlling for age, gender, physician specialisation, and type of depression (adjusted OR ( AOR ) = 1.01 ; CI: 0.81–1.26). Patients who had cancer were significantly less likely to be prescribed an antidepressant medication than those who had no cancer (AOR = 0.75 ; CI: 0.57–0.97). Conclusion . This study provides a comprehensive analysis of everyday practice for the treatment of depression in AM -physicians. Further analysis regarding the occurrence of critical combinations is of high interest to health services research.