Dormann H, Muth-Selbach U, Krebs S, Criegee-Rieck M, Tegeder I, Schneider H T, Hahn E G, Levy M, Brune K, Geisslinger G
Department of Experimental and Clinical Pharmacology and Toxicology, University of Erlangen-Nuremberg, Erlangen, Germany.
Drug Saf. 2000 Feb;22(2):161-8. doi: 10.2165/00002018-200022020-00007.
To implement a computer-based adverse drug reaction monitoring system and compare its results with those of stimulated spontaneous reporting, and to assess the excess lengths of stay and costs of patients with verified adverse drug reactions.
A prospective cohort study was used to assess the efficacy of computer-based monitoring, and case-matching was used to assess excess length of stay and costs.
This was a study of all patients admitted to a medical ward of a university hospital in Germany between June and December 1997.
379 patients were included, most of whom had infectious, gastrointestinal or liver diseases, or sleep apnoea syndrome. Patients admitted because of adverse drug reactions were excluded.
All automatically generated laboratory signals and reports were evaluated by a team consisting of a clinical pharmacologist, a clinician and a pharmacist for their likelihood of being an adverse drug reaction. They were classified by severity and causality. For verified adverse drug reactions, control patients with similar primary diagnosis, age, gender and time of admission but without adverse drug reactions were matched to the cases in order to assess the excess length of hospitalisation caused by an adverse drug reaction.
Adverse drug reactions were detected in 12% of patients by the computer-based monitoring system and stimulated spontaneous reporting together (46 adverse reactions in 45 patients) during 1718 treatment days. Computer-based monitoring identified adverse drug reactions in 34 cases, and stimulated spontaneous reporting in 17 cases. Only 5 adverse drug reactions were detected by both methods. The relative sensitivity of computer-based monitoring was 74% (relative specificity 75%), and that of stimulated spontaneous reporting was 37% (relative specificity 98%). All 3 serious adverse drug reactions were detected by computer-based monitoring, but only 2 out of the 3 were detected by stimulated spontaneous reporting. The percentage of automatically generated laboratory signals associated with an adverse drug reaction (positive predictive value) was 13%. The mean excess length of stay was 3.5 days per adverse drug reaction. 48% of adverse reactions were predictable and detected solely by computer-based monitoring. Therefore, the potential for savings on this ward from the introduction of computer-based monitoring can be calculated as EUR56 200/year ($US59 600/year) [ 1999 values].
Computer monitoring is an effective method for improving the detection of adverse drug reactions in inpatients. The excess length of stay and costs caused by adverse drug reactions are substantial and might be considerably reduced by earlier detection.
实施一个基于计算机的药物不良反应监测系统,并将其结果与激发性自发报告的结果进行比较,同时评估经证实的药物不良反应患者的住院时间延长情况和费用。
采用前瞻性队列研究来评估基于计算机监测的疗效,并采用病例匹配法来评估住院时间延长情况和费用。
本研究针对1997年6月至12月期间入住德国一家大学医院内科病房的所有患者。
纳入379例患者,其中大多数患有感染性疾病、胃肠道疾病、肝脏疾病或睡眠呼吸暂停综合征。因药物不良反应入院的患者被排除。
由一名临床药理学家、一名临床医生和一名药剂师组成的团队对所有自动生成的实验室信号和报告进行评估,判断其为药物不良反应的可能性。根据严重程度和因果关系进行分类。对于经证实的药物不良反应,将具有相似原发性诊断、年龄、性别和入院时间但无药物不良反应的对照患者与病例进行匹配,以评估药物不良反应导致的住院时间延长情况。
在1718个治疗日期间;基于计算机的监测系统和激发性自发报告共同在12%的患者中检测到药物不良反应(45例患者中有46例不良反应)。基于计算机的监测识别出34例药物不良反应,激发性自发报告识别出17例。两种方法仅共同检测到5例药物不良反应。基于计算机监测的相对灵敏度为74%(相对特异度为75%),激发性自发报告的相对灵敏度为37%(相对特异度为98%)。所有3例严重药物不良反应均通过基于计算机的监测检测到,但激发性自发报告仅检测到其中2例。与药物不良反应相关的自动生成实验室信号的百分比(阳性预测值)为13%。每例药物不良反应的平均住院时间延长为3.5天。48%的不良反应是可预测的,且仅通过基于计算机的监测检测到。因此,引入基于计算机的监测后,该病房每年可能节省的费用为56200欧元(59600美元)[1999年价值]。
计算机监测是提高住院患者药物不良反应检测率的有效方法。药物不良反应导致的住院时间延长和费用相当可观,早期检测可能会大幅降低这些情况。