Sancar Mesut, Kaşik Aksa, Okuyan Betül, Batuhan Sevda, Izzettin Fikret Vehbi
Marmara University, Faculty of Pharmacy, Department of Clinical Pharmacy, İstanbul, Turkey.
Bezmialem University, Faculty of Pharmacy, Department of Clinical Pharmacy, İstanbul, Turkey.
Turk J Pharm Sci. 2019 Mar;16(1):14-19. doi: 10.4274/tjps.30932. Epub 2018 Dec 31.
The aim of the present study was to compare various software programs in detecting potential drug-drug interactions in a community pharmacy setting.
Details of prescriptions were collected from 50 community pharmacies located in İstanbul in March and April 2015 (two days per week). From each pharmacy, the first 20 prescriptions that included more than one drug were collected to evaluate potential drug-drug interactions. The following software programs were utilized to detect potential drug-drug interactions: micromedexsolutions.com, medscape.com, and drugs.com. The number of potential interactions detected by the software programs was determined.
At least one potential drug-drug interaction was detected in 39.2% of the 1000 prescriptions by one of the software programs. According to the rates of total drug-drug interactions gathered from various software programs, these programs gave the following results: medscape.com 33.3%, drugs.com 31.3%, and micromedexsolutions.com 21.2%.
After comparing different software programs, the potential drug-drug interactions found by the programs proved to be different. Therefore, we recommend that pharmacists confirm with a different program before making a decision when they detect clinically significant potential drug-drug interactions.
本研究旨在比较各种软件程序在社区药房环境中检测潜在药物相互作用的情况。
2015年3月和4月(每周两天)从伊斯坦布尔的50家社区药房收集处方详情。从每家药房收集前20份包含不止一种药物的处方,以评估潜在的药物相互作用。使用以下软件程序检测潜在的药物相互作用:micromedexsolutions.com、medscape.com和drugs.com。确定软件程序检测到的潜在相互作用的数量。
在1000份处方中,至少有39.2%的处方被其中一个软件程序检测到至少一种潜在的药物相互作用。根据从各种软件程序收集到的药物相互作用总数的比例,这些程序得出以下结果:medscape.com为33.3%,drugs.com为31.3%,micromedexsolutions.com为21.2%。
在比较不同的软件程序后,发现各程序检测到的潜在药物相互作用有所不同。因此,我们建议药剂师在检测到具有临床意义的潜在药物相互作用时,在做出决定前用不同的程序进行确认。