dc.creator | REIS, Adriano Max Moreira | |
dc.creator | CASSIANI, Silvia Helena De Bortoli | |
dc.date.accessioned | 2012-10-18T23:59:40Z | |
dc.date.accessioned | 2018-07-04T14:47:20Z | |
dc.date.available | 2012-10-18T23:59:40Z | |
dc.date.available | 2018-07-04T14:47:20Z | |
dc.date.created | 2012-10-18T23:59:40Z | |
dc.date.issued | 2010 | |
dc.identifier | PHARMACY WORLD & SCIENCE, v.32, n.6, p.822-828, 2010 | |
dc.identifier | 0928-1231 | |
dc.identifier | http://producao.usp.br/handle/BDPI/17659 | |
dc.identifier | 10.1007/s11096-010-9445-2 | |
dc.identifier | http://dx.doi.org/10.1007/s11096-010-9445-2 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1614457 | |
dc.description.abstract | Objective To evaluate drug interaction software programs and determine their accuracy in identifying drug-drug interactions that may occur in intensive care units. Setting The study was developed in Brazil. Method Drug interaction software programs were identified through a bibliographic search in PUBMED and in LILACS (database related to the health sciences published in Latin American and Caribbean countries). The programs` sensitivity, specificity, and positive and negative predictive values were determined to assess their accuracy in detecting drug-drug interactions. The accuracy of the software programs identified was determined using 100 clinically important interactions and 100 clinically unimportant ones. Stockley`s Drug Interactions 8th edition was employed as the gold standard in the identification of drug-drug interaction. Main outcome Sensitivity, specificity, positive and negative predictive values. Results The programs studied were: Drug Interaction Checker (DIC), Drug-Reax (DR), and Lexi-Interact (LI). DR displayed the highest sensitivity (0.88) and DIC showed the lowest (0.69). A close similarity was observed among the programs regarding specificity (0.88-0.92) and positive predictive values (0.88-0.89). The DIC had the lowest negative predictive value (0.75) and DR the highest (0.91). Conclusion The DR and LI programs displayed appropriate sensitivity and specificity for identifying drug-drug interactions of interest in intensive care units. Drug interaction software programs help pharmacists and health care teams in the prevention and recognition of drug-drug interactions and optimize safety and quality of care delivered in intensive care units. | |
dc.language | eng | |
dc.publisher | SPRINGER | |
dc.relation | Pharmacy World & Science | |
dc.rights | Copyright SPRINGER | |
dc.rights | restrictedAccess | |
dc.subject | Brazil | |
dc.subject | Drug-drug interactions | |
dc.subject | Drug interactions | |
dc.subject | Intensive care units | |
dc.subject | Pharmacotherapy | |
dc.title | Evaluation of three brands of drug interaction software for use in intensive care units | |
dc.type | Artículos de revistas | |