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临床试验/NCT02191358
NCT02191358已完成不适用

YouScript IMPACT (Improving Medication Protocols and Abating Cost of Treatment) Registry

Genelex Corporation7 个研究点 分布在 1 个国家目标入组 800 人开始时间: 2014年10月最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
800
试验地点
7
主要终点
Healthcare Resource Utilization

研究概览

简要总结

This multicenter observational study aims to investigate the benefits of providing pharmacogenetic testing with the YouScript Personalized Prescribing System which includes a clinical decision support tool and individualized pharmacist recommendations to elderly polypharmacy patients who are most at risk of adverse drug events. The YouScript system is unique in identifying drug-gene, and drug-drug-gene interactions that are missed by existing systems, and represent over 35% of significant interaction warnings. Data analysis will assess the impact of recommendations for medication changes on clinical decision making, patient outcomes, and healthcare resource utilization to determine which medications, specialties, or patient segments derive the greatest benefit from this intervention. Data gathered from patients enrolled in this study will be compared to patients matched on key characteristics from Inovalon's MORE2 healthcare database.

详细描述

BACKGROUND AND RATIONALE:

Genelex Corporation is a leader in comprehensive medication management based on the YouScript clinical decision support tool and DNA drug sensitivity testing. Controlling prescription drug adverse event risk is complex because more than 85% of patients have significant DNA based variation in activity of the cytochrome p450 (CYP) enzymes that metabolize the majority of the most commonly prescribed medicines. Polypharmacy, common in the elderly and chronically ill further increases the risk of an adverse drug event (ADE). The public healthcare problem resulting from these factors costs an estimated $289 billion per year in excess health care costs.

The goal of the YouScript personalized prescribing system is to improve patient outcomes by preventing ADEs caused by drug-drug, drug-gene and drug-drug-gene interactions. ADEs are defined to include prescription and over-the-counter (OTC) drug overdose toxicity, adverse drug reactions (ADRs), and treatment failures generally caused by properly prescribed medications. The YouScript system prevents ADEs by the combined analysis of patient drug regimens and individual genetics. YouScript DNA drug sensitivity testing includes five enzymes in the cytochrome P450 (CYP) group (CYP2D6, CYP2C9, CYP2C19, CYP3A4, and CYP3A5). YouScript synthesizes decades of publicly funded basic and clinical research to provide actionable information to physicians treating patients.

Elderly patients are at greater risk of an ADE. Two-thirds of adults age 65 or older take one or more prescription drugs daily. Patients age 60 years and older account for 10-17% of hospitalizations and 51% of the deaths from ADEs, although this age group represents just 17% of the U.S. population. Following discharge, 50% of patients with ADRs declined in one or more activities of daily living, compared to 24% of patients without ADRs.

Although the value of pharmacogenetic testing and comprehensive gene-based medication management is being recognized by clinicians, it is still not endorsed by many expert committees and third party payers for most prescription drugs. The purpose of this study is to meet the need for evidence that better demonstrates the impact of such comprehensive gene-based medication management on healthcare resource utilization (HRU), clinical decision-making, and patient outcomes. Therefore, the proposed study aims to assess the impact of the YouScript Personal Prescribing System on HRU, clinical decision-making, and clinical outcomes.

研究设计

研究类型
Observational
观察模型
Other
时间视角
Prospective

入排标准

年龄范围
65 Years 至 —(Older Adult)
性别
All
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Healthcare Resource Utilization

时间窗: 120 days

The primary objective is to determine the impact of the YouScript Personalized Prescribing System on healthcare resource utilization. This will involve comparing the number of hospitalizations, number of ER visits, number of provider office visits, number of radiographic procedures, and number of surgeries for the tested group versus the untested group.

次要结局

  • Clinical decision-making(120 days)
  • Adverse Drug Events(120 days)

研究者

发起方
Genelex Corporation
申办方类型
Industry
责任方
Sponsor

研究点 (7)

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