跳至主要内容
临床试验/NCT01531088
NCT01531088已完成不适用

Enhancing the Detection and Management of Adverse Drug Events in the Nursing Home

University of Pittsburgh2 个研究点 分布在 1 个国家目标入组 36 人开始时间: 2012年1月最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
36
试验地点
2
主要终点
Adverse drug event detection

研究概览

简要总结

Adverse drug events (ADEs) are the most clinically significant and costly medication-related problems in nursing homes (NH) and are associated with an estimated 93,000 deaths a year and as much as $4 billion of excess healthcare expenditures. Current ADE detection and management strategies that rely on pharmacist retrospective chart reviews (i.e., usual care) are inadequate. Active medication monitoring systems are recommended by many safety organizations as an alternative to detect and manage ADEs. These systems have been shown to be less expensive, faster, and identify ADEs not normally detected by clinicians in the hospital setting. The investigators developed and pilot-tested an active medication monitoring system for use in a single NH, where it was shown to detect ADEs with a high degree of accuracy and at a rate of nearly 2.5 times that of usual care. The long-term objective of our proposed research is to improve patient safety with respect to medications in NHs. The short-term objectives or specific aims of our proposed research are to determine if NH patients managed by physicians who receive active medication monitoring alerts have more ADEs detected, have a faster ADE management response time, and can result in more cost-savings from a societal perspective compared to usual care.

详细描述

To accomplish the aims outlined in our brief summary above, the investigators will conduct a cluster randomized controlled trial among up to 86 NH physicians working in one of 4 UPMC Health System nursing homes (NHs) in Southwestern Pennsylvania for a period of 12 months. Our hypotheses are that NH patients managed by physicians who receive active medication monitoring alerts will have more ADEs detected, will have a faster ADE management response time, and will result in cost-savings from a societal perspective compared to usual care. This application by an early stage investigator is responsive to PA-09-070 AHRQ Health Services Research Projects and several of its research portfolio priority areas (health information technology, patient safety, and value) by addressing how medication management systems can be used to improve the quality and safety of medication management, as well as improve healthcare decision making. This study represents the first large, well-controlled, comprehensive examination of an active medication monitoring system in the NH.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Health Services Research
盲法
Single (Outcomes Assessor)

入排标准

性别
All
接受健康志愿者

入选标准

  • All physicians participating in the study must be a credentialed attending physician at at least one of four UPMC Nursing Homes: UPMC Canterbury Place, UPMC Cranberry Place, UPMC Heritage Place, and/or UPMC Seneca Place.

排除标准

  • Physicians not credentialed as an attending physician at at least one of four UPMC Nursing Homes: UPMC Canterbury Place, UPMC Cranberry Place, UPMC Heritage Place, and/or UPMC Seneca Place.

结局指标

主要结局

Adverse drug event detection

时间窗: 12 months

Number of adverse events detected

次要结局

  • Adverse drug event response time(12 months)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (2)

Loading locations...

相似试验