Effects of a computerized decision support system in improving pharmacological management in high-risk cardiovascular patients: A cluster-randomized open-label controlled trial. (June 2016)

• Record Type: Journal Article
• Authors: Mazzaglia, Giampiero; Piccinni, Carlo; Filippi, Alessandro; Sini, Giovanna; Lapi, Francesco; Sessa, Emiliano; Cricelli, Iacopo; Cutroneo, Paola; Trifirò, Gianluca; Cricelli, Claudio; Caputi, Achille Patrizio
• Is Part Of: Health informatics journal. Volume 22:Number 2(2016:Jun.)
• Page Start: 232
• Page End: 247
• Publication Date: 2016-06
• Subjects: cardiovascular drugs -- decision support system -- drug–drug interactions -- general practitioners -- primary care; Medical informatics -- Periodicals; 610.285
• DOI: 10.1177/1460458214546773
• Languages: English
• ISSNs: 1460-4582

Abstract

This study was aimed to investigate the effects of computerized decision support system in improving the prescription of drugs for cardiovascular prevention. A total of 197 Italian general practitioners were randomly allocated to receive either the alerting computerized decision support system integrated into standard software (intervention arm) or the standard software alone (control arm). Data on 21230 patients with diabetes, 3956 with acute myocardial infarction, and 2158 with stroke were analysed. The proportion of patients prescribed with cardiovascular drugs and days of drug–drug interaction exposure were evaluated. Computerized decision support system significantly increased the proportion of patients with diabetes prescribed with antiplatelet drugs (intervention: +2.7% vs. control: +0.15%; p < 0.001) or lipidlowering drugs (+4.2% vs. +2.8%; p = 0.001). A statistically significant decrease in days of potential interactions has been observed only among patients with stroke (−1.2 vs. −0.5 days/person-year; p = 0.001). In conclusion, computerized decision support system significantly increased the use of recommended cardiovascular drugs in diabetic patients, but it did not influence the exposure to potential interactions