Whipple J K, Quebbeman E J, Lewis K S, Gaughan L M, Gallup E L, Ausman R K
Department of Surgery, Medical College of Wisconsin, Milwaukee.
Ann Pharmacother. 1994 May;28(5):655-8. doi: 10.1177/106002809402800517.
To describe and validate a computer-based quality assurance method that detects narcotic overdoses associated with patient-controlled analgesia (PCA) use.
Two acute care teaching hospitals.
4669 patients who received PCA.
The following patient lists were obtained during a two-year period from both hospital information systems: those who received PCA and (1) received naloxone, a narcotic antagonist, (2) were transferred to an intensive care unit, (3) had a cardiac or respiratory arrest, or (4) died. Possible overdoses were defined as patients who appeared on the PCA list and one of the other lists. Charts were reviewed if the patient's name appeared on the PCA and one of the other lists. Patients were judged to have experienced a narcotic overdose if there was an immediate improvement in blood pressure, respiratory rate, or mental status after the administration of naloxone.
The search strategy identified 294 possible overdoses in 1499 patients who received PCA. Ten charts were unavailable for review. An actual overdose occurred in 11 patients. The accuracy of the new method was compared with that of the hospitals' present reporting methods. Eleven overdoses were identified by the computer search, but only 6 overdoses were identified in incident and adverse drug reaction reports.
The systematic computer search identified almost twice as many adverse incidents than were reported by the traditional hospital methods.
描述并验证一种基于计算机的质量保证方法,该方法可检测与患者自控镇痛(PCA)使用相关的麻醉剂过量情况。
两家急症护理教学医院。
4669例接受PCA的患者。
在两年期间从两家医院信息系统获取以下患者名单:接受PCA且(1)接受了麻醉拮抗剂纳洛酮、(2)被转入重症监护病房、(3)发生心脏或呼吸骤停或(4)死亡的患者。可能的过量用药定义为出现在PCA名单以及其他名单之一上的患者。如果患者姓名出现在PCA名单和其他名单之一上,则对病历进行审查。如果给予纳洛酮后血压、呼吸频率或精神状态立即改善,则判断患者发生了麻醉剂过量。
搜索策略在1499例接受PCA的患者中识别出294例可能的过量用药情况。10份病历无法进行审查。11例患者发生了实际的过量用药。将新方法的准确性与医院现有的报告方法进行了比较。计算机搜索识别出11例过量用药情况,但事件报告和药物不良反应报告中仅识别出6例过量用药情况。
系统的计算机搜索识别出的不良事件几乎是传统医院方法报告数量的两倍。