Dambro M R, Kallgren M A
University of Arizona, Department of Family and Community Medicine, Tucson 85719.
Comput Biol Med. 1988;18(1):31-8. doi: 10.1016/0010-4825(88)90054-6.
In a study involving 1499 patients in a family office, prescription data obtained from a computerized record system (COSTAR) were analyzed to determine the drug interaction rate. While prior studies have adequately determined that drug interactions occur frequently in most medical offices this paper presents a methodology for performing such analyses in a very short period of time. By using a computer at all stages, the analysis was computed in less than four weeks and with more accuracy than would otherwise be possible. In addition to the demonstration of a method, the results of our analysis are also of interest. Overall 138 (9.2%) of the study patients were prescribed drugs with known interaction potential and among this group, 123 (72%) had interactions considered to be of "moderate" clinical significance and 36 (17%) had interactions considered to be of "major" significance.
在一项针对一家家族诊所1499名患者的研究中，分析了从计算机化记录系统（COSTAR）获取的处方数据，以确定药物相互作用发生率。虽然先前的研究已充分确定药物相互作用在大多数医疗诊所中频繁发生，但本文提出了一种在极短时间内进行此类分析的方法。通过在所有阶段使用计算机，分析在不到四周的时间内完成，且比其他方式更准确。除了展示一种方法外，我们的分析结果也很有意义。总体而言，138名（9.2%）研究患者被开具了具有已知相互作用可能性的药物，在这一组中，123名（72%）患者的相互作用被认为具有“中等”临床意义，36名（17%）患者的相互作用被认为具有“重大”意义。
