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上市后药品监测的调查方法:实例演示

Survey method for post-marketing drug surveillance: a demonstration.

作者信息

Mellinger G D, Balter M B, Abramowitz S, Schaffer C B, Bernstein L R

机构信息

Institute for Research in Social Behavior, Oakland, California.

出版信息

J Clin Psychopharmacol. 1988 Jun;8(3):168-76.

PMID:2897977
Abstract

Distinguishing characteristics of a community survey method for post-marketing drug monitoring are described, as are results of a pilot study of the method. Representative samples of outpatients treated with tricyclic antidepressants or benzodiazepine anxiolytics were identified in a clinic or pharmacy and interviewed at baseline and specified intervals thereafter in the home or by telephone. Data were collected by lay interviewers trained to use a detailed interview schedule designed with input from experts in pharmacology, relevant clinical disciplines, and survey research. The critical validity question was the degree to which predicted outcomes for the two well-studied drug classes matched observed outcomes. The analytic design involved two contrast groups, three measurement periods, and six key symptom measures. The latter were specific to the disorder (anxiety and depression), to the medications, or to neither the disorders nor the medication (neutral symptoms). Predictions took account of degree and direction of change, as well as differences in profile levels over time. Results conformed precisely to expectations. As one component of a comprehensive system, the method provides an opportunity to examine efficacy as well as safety under conditions that are typically absent or excluded in clinical trials. Data on patterns of prescribing by physicians and use by patients are valuable by-products that are immediately relevant for professional education and product liability. Advantages and limitations of the method are discussed.

摘要

描述了用于上市后药物监测的社区调查方法的显著特征,以及该方法的一项试点研究结果。在诊所或药房中识别出接受三环类抗抑郁药或苯二氮䓬类抗焦虑药治疗的门诊患者的代表性样本,并在基线时以及此后的特定间隔在家中或通过电话进行访谈。数据由经过培训的非专业访谈员收集,他们使用在药理学、相关临床学科和调查研究专家的参与下设计的详细访谈时间表。关键的效度问题是,对于这两类经过充分研究的药物,预测结果与观察结果的匹配程度。分析设计包括两个对比组、三个测量期和六个关键症状指标。后者特定于疾病(焦虑和抑郁)、药物,或既不特定于疾病也不特定于药物(中性症状)。预测考虑了变化的程度和方向,以及随时间变化的特征水平差异。结果与预期完全相符。作为综合系统的一个组成部分,该方法提供了一个机会,可在临床试验中通常不存在或被排除的条件下检查疗效和安全性。关于医生开药模式和患者用药情况的数据是有价值的副产品,与专业教育和产品责任直接相关。讨论了该方法的优点和局限性。

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