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Risk Assessment Using Paired Comparison Expert Elicitation for Ranking of Compounding Outsourcing Facilities.

机译:使用配对比较专家启发对复合外包设施进行排名的风险评估。

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摘要

In 2012, improperly compounded sterile products caused an outbreak of fungal meningitis and other fungal infections to become the largest outbreak of healthcare-associated infections in the United States. This outbreak, along with other adverse events associated with larger compounders demonstrated a significant public health risk and highlighted the need for more-rigorous regulatory oversight of pharmacy compounding. In response, the U.S. Congress passed the Drug Quality and Security Act in November 2013, giving the Food and Drug Administration (FDA) authority to oversee compounding outsourcing facilities. However, even with the new authority, the regulators are faced with the challenge of safeguarding the public against improperly compounded products despite limited data and resources. This dissertation will discuss a novel application of the paired comparison expert elicitation technique to develop a risk-ranking model that can allow regulators to efficiently allocate their resources and focus on compounding firms that could pose the greatest risk. Empirical research on the factors that can assess compounding risks is explored to understand their influences. Sensitivity analysis of these risk factors identified the top factors that had the most significant effect on the outcome of the quantitative risk assessment model. The resulting model from this research is inclusive as it was developed with inputs from experts from the FDA, the States Board of Pharmacy, and members of the compounding industry. As such, it can be beneficial to stakeholders from both the private and public pharmacy compounding sectors. Prior to conducting the paired comparison expert elicitation, a gap analysis is performed to gain a better understanding of the pharmacy compounding regulations among the states and to identify the gaps in the state regulation and oversight of the compounding industry.
机译:2012年,配制不当的无菌产品导致真菌性脑膜炎和其他真菌感染的爆发,成为美国医疗保健相关感染的最大爆发。这次暴发,以及与大型配混者相关的其他不良事件,表明存在重大的公共卫生风险,并强调了对药品配混进行更严格的监管的必要性。作为回应,美国国会于2013年11月通过了《药品质量和安全法》,赋予了美国食品药品管理局(FDA)监督复合外包设施的权力。但是,即使有了新的授权机构,尽管数据和资源有限,监管机构仍面临着保护公众免受不适当配制的产品的挑战。本文将讨论配对比较专家启发技术在开发风险排名模型中的新应用,该模型可以使监管机构有效地分配其资源,并专注于可能构成最大风险的复合公司。对可以评估复合风险的因素进行了实证研究,以了解其影响。这些风险因素的敏感性分析确定了对定量风险评估模型的结果影响最大的主要因素。这项研究得出的模型具有包容性,因为它是由FDA,美国药典委员会和配料行业成员的专家共同开发的。因此,这对私营和公共药房配制部门的利益相关者都是有益的。在进行配对比较专家启发之前,先进行差距分析,以更好地了解各州之间的药房配制法规,并找出州法规和配制行业监管方面的差距。

著录项

  • 作者

    Okwesili, Paul C., Jr.;

  • 作者单位

    The George Washington University.;

  • 授予单位 The George Washington University.;
  • 学科 Systems science.;Pharmaceutical sciences.;Public health.;Organizational behavior.;Management.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 173 p.
  • 总页数 173
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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