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.

Mazzaglia, G., Piccinni, C., Filippi, A., Sini, G., Lapi, F., Sessa, E., et al. (2016). Effects of a computerized decision support system in improving pharmacological management in high-risk cardiovascular patients: A cluster-randomized open-label controlled trial. HEALTH INFORMATICS JOURNAL, 22(2), 232-247 [10.1177/1460458214546773].

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

Mazzaglia, G;
2016

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.
Articolo in rivista - Articolo scientifico
cardiovascular drugs; decision support system; drug-drug interactions; general practitioners; primary care;
EMERGENCY-DEPARTMENT VISITS; ADVERSE DRUG EVENTS; PRIMARY-CARE; HEALTH-CARE; GENERAL-PRACTITIONERS; MEDICATION ADHERENCE; CLINICAL-PRACTICE; REMINDER SYSTEM; GUIDELINES; INTERVENTION
English
2016
22
2
232
247
reserved
Mazzaglia, G., Piccinni, C., Filippi, A., Sini, G., Lapi, F., Sessa, E., et al. (2016). Effects of a computerized decision support system in improving pharmacological management in high-risk cardiovascular patients: A cluster-randomized open-label controlled trial. HEALTH INFORMATICS JOURNAL, 22(2), 232-247 [10.1177/1460458214546773].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/223251
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