• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Pharmacoepidemiology and drug safety >Antipsychotic medication coprescribing in a large state hospital system.
【24h】

Antipsychotic medication coprescribing in a large state hospital system.

机译：在大型国立医院系统中共同处方抗精神病药物。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

PURPOSE: To systematically characterize antipsychotic medication coprescribing ('polypharmacy') in a large state hospital system. METHODS: All antipsychotic prescriptions written for all adult in-patients (N = 8212) in New York state-run civil facilities for the year 1999 were identified using the Integrated Research Database (IRDB) created by the Information Systems Division of the Nathan Kline Institute for Psychiatric Research. Antipsychotics were considered to be intentionally coprescribed only when both were prescribed for an overlapping period of 28 days. RESULTS: Coprescribing of typical, atypical, and depot antipsychotics comprised 31% of antipsychotic prescribing episodes. Medications were usually coprescribed with medications from outside their own antipsychotic class. Patient factors, such as age, diagnosis, and history of prior hospitalization, affected coprescribing rates (p < 0.001 for all indicated variables). Atypical antipsychotic medications were less likely to be given with another antipsychotic than were oral or depot typical medications. CONCLUSIONS: Coprescribing of antipsychotic drugs is a common practice in the New York State hospital system. The analysis of large clinical databases can yield valuable information about the kinds of complex pharmacotherapy regimens actually utilized in the treatment of the most severely ill patients.
机译：目的：在大型国立医院系统中系统地描述抗精神病药物共同处方（“多药店”）的特征。方法：使用内森·克莱因研究所信息系统部创建的综合研究数据库（IRDB），确定1999年在纽约州政府民用设施中为所有成年住院患者（N = 8212）编写的所有抗精神病药处方用于精神病学研究。只有在两者均重复28天的处方时，才认为抗精神病药是有意共同处方的。结果：典型，非典型和库房抗精神病药物的共同处方占抗精神病药物处方发作的31％。药物通常与自己抗精神病药以外的药物一起开处方。患者的因素，例如年龄，诊断和既往住院史，影响了共同处方率（所有指示变量的p <0.001）。与口服或长效典型药物相比，非典型抗精神病药物与另一种抗精神病药物合用的可能性较小。结论：在纽约州医院系统中，共同处方抗精神病药物是常见的做法。大型临床数据库的分析可以提供有关实际用于治疗重症患者的复杂药物治疗方案的宝贵信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号