• Media type: E-Article
  • Title: Arriba: effects of an educational intervention on prescribing behaviour in prevention of CVD in general practice
  • Contributor: Keller, Heidemarie; Krones, Tanja; Becker, Annette; Hirsch, Oliver; Sönnichsen, Andreas C; Popert, Uwe; Kaufmann-Kolle, Petra; Rochon, Justine; Wegscheider, Karl; Baum, Erika; Donner-Banzhoff, Norbert
  • imprint: Oxford University Press (OUP), 2012
  • Published in: European Journal of Preventive Cardiology
  • Language: English
  • DOI: 10.1177/1741826711404502
  • ISSN: 2047-4873; 2047-4881
  • Origination:
  • Footnote:
  • Description: <jats:p> Background: Evidence on the effectiveness of educational interventions on prescribing behaviour modification in prevention of cardiovascular disease is still insufficient. We evaluated the effects of a brief educational intervention on prescription of hydroxymethylglutaryl-CoA reductase inhibitors (statins), inhibitors of platelet aggregation (IPA), and antihypertensive agents (AH). </jats:p><jats:p> Design: Cluster randomised controlled trial with continuous medical education (CME) groups of general practitioners (GPs). </jats:p><jats:p> Methods: Prescription of statins, IPA, and AH were verified prior to study start (BL), immediately after index consultation (IC), and at follow-up after 6 months (FU). Prescription in patients at high risk (&gt;15% risk of a cardiovascular event in 10 years, based on the Framingham equation) and no prescription in low-risk patients (≤ 15%) were considered appropriate. </jats:p><jats:p> Results: An intervention effect on prescribing could only be found for IPA. Generally, changes in prescription over time were all directed towards higher prescription rates and persisted to FU, independent of risk status and group allocation. </jats:p><jats:p> Conclusions: The active implementation of a brief evidence-based educational intervention on global risk in CVD did not lead directly to risk-adjusted changes in prescription. Investigations on an extended time scale would capture whether decision support of this kind would improve prescribing risk-adjusted sustainably. </jats:p>