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优化问责制医疗组织中的药物使用。

Optimization of Medication Use at Accountable Care Organizations.

机构信息

1 Leavitt Partners, Salt Lake City, Utah.

2 National Pharmaceutical Council, Washington, DC.

出版信息

J Manag Care Spec Pharm. 2017 Oct;23(10):1054-1064. doi: 10.18553/jmcp.2017.23.10.1054.

Abstract

BACKGROUND

Optimized medication use involves the effective use of medications for better outcomes, improved patient experience, and lower costs. Few studies systematically gather data on the actions accountable care organizations (ACOs) have taken to optimize medication use.

OBJECTIVES

To (a) assess how ACOs optimize medication use; (b) establish an association between efforts to optimize medication use and achievement on financial and quality metrics; (c) identify organizational factors that correlate with optimized medication use; and (d) identify barriers to optimized medication use.

METHODS

This cross-sectional study consisted of a survey and interviews that gathered information on the perceptions of ACO leadership. The survey contained a medication practices inventory (MPI) composed of 38 capabilities across 6 functional domains related to optimizing medication use. ACOs completed self-assessments that included rating each component of the MPI on a scale of 1 to 10. Fisher's exact tests, 2-proportions tests, t-tests, and logistic regression were used to test for associations between ACO scores on the MPI and performance on financial and quality metrics, and on ACO descriptive characteristics.

RESULTS

Of the 847 ACOs that were contacted, 49 provided usable survey data. These ACOs rated their own system's ability to manage the quality and costs of optimizing medication use, providing a 64% and 31% affirmative response, respectively. Three ACOs achieved an overall MPI score of 8 or higher, 45 scored between 4 and 7.9, and 1 scored between 0 and 3.9. Using the 3 score groups, the study did not identify a relationship between MPI scores and achievement on financial or quality benchmarks, ACO provider type, member volume, date of ACO creation, or the presence of a pharmacist in a leadership position. Barriers to optimizing medication use relate to reimbursement for pharmacist integration, lack of health information technology interoperability, lack of data, feasibility issues, and physician buy-in.

CONCLUSIONS

Compared with 2012 data, data on ACOs that participated in this study show that they continue to build effective strategies to optimize medication use. These ACOs struggle with both notification related to prescription use and measurement of the influence optimized medication use has on costs and quality outcomes. Compared with the earlier study, these data find that more ACOs are involving pharmacists directly in care, expanding the use of generics, electronically transmitting prescriptions, identifying gaps in care and potential adverse events, and educating patients on therapeutic alternatives. ACO-level policies that facilitate practices to optimize medication use are needed. Integrating pharmacists into care, giving both pharmacists and physicians access to clinical data, obtaining physician buy-in, and measuring the impact of practices to optimize medication use may improve these practices.

DISCLOSURES

This research was sponsored and funded by the National Pharmaceutical Council (NPC), an industry funded health policy research group that is not involved in lobbying or advocacy. Employees of the sponsor contributed to the research questions, determination of the relevance of the research questions, and the research design. Specifically, there was involvement in the survey and interview instruments. They also contributed to some data interpretation and revision of the manuscript. Leavitt Partners was hired by NPC to conduct research for this study and also serves a number of health care clients, including life sciences companies, provider organizations, accountable care organizations, and payers. Westrich and Dubois are employed by the NPC. Wilks, Krisle, Lunner, and Muhlestein are employed by Leavitt Partners and did not receive separate compensation. Study concept and design were contributed by Krisle, Dubois, and Muhlestein, along with Lunner and Westrich. Krisle and Muhlestein collected the data, and data interpretation was performed by Wilks, Krisle, and Muhlestein, along with Dubois and Westrich. The manuscript was written primarily by Wilks, along with Krisle and Muhlestein, and revised by Wilks, Westrich, Lunner, and Krisle. Preliminary versions of this work were presented at the following: National Council for Prescription Drug Programs Educational Summit, November 1, 2016; Academy Health 2016 Annual Research Meeting, June 27, 2016; Accountable Care Learning Collaborative Webinar, June 16, 2016; the 21st Annual PBMI Drug Benefit Conference, February 29, 2016; National Value-Based Payment and Pay for Performance Summit, February 17, 2016; National Accountable Care Congress, November 17, 2015; and American Journal of Managed Care's ACO Emerging Healthcare Delivery Coalition, Fall 2015 Live Meeting, October 15, 2015.

摘要

背景

优化药物使用包括有效使用药物以获得更好的结果、改善患者体验和降低成本。很少有研究系统地收集关于医疗机构管理组织 (ACO) 为优化药物使用而采取的行动的数据。

目的

(a) 评估 ACO 如何优化药物使用;(b) 确定优化药物使用的努力与财务和质量指标的实现之间的关联;(c) 确定与优化药物使用相关的组织因素;(d) 确定优化药物使用的障碍。

方法

这项横断面研究包括一项调查和访谈,旨在收集关于 ACO 领导层意见的信息。调查包含一个由 38 项能力组成的药物实践清单 (MPI),涵盖了与优化药物使用相关的 6 个功能领域。ACO 完成了自我评估,其中包括对 MPI 的每个组成部分进行 1 到 10 的评分。使用 Fisher 精确检验、2 个比例检验、t 检验和逻辑回归来检验 ACO 在 MPI 上的得分与财务和质量指标的表现以及 ACO 描述性特征之间的关联。

结果

在联系的 847 个 ACO 中,有 49 个提供了可用的调查数据。这些 ACO 对自己系统管理优化药物使用的质量和成本的能力进行了评估,分别给出了 64%和 31%的肯定答复。三个 ACO 的总体 MPI 得分为 8 或更高,45 个得分为 4 到 7.9,1 个得分为 0 到 3.9。使用这 3 个分数组,研究没有发现 MPI 得分与财务或质量基准、ACO 提供者类型、成员数量、ACO 创建日期或领导职位中的药剂师存在之间的关系。优化药物使用的障碍与药剂师整合的报酬、缺乏健康信息技术互操作性、缺乏数据、可行性问题以及医生的认同有关。

结论

与 2012 年的数据相比,参与这项研究的 ACO 数据表明,它们继续制定有效的策略来优化药物使用。这些 ACO 在通知处方使用和衡量优化药物使用对成本和质量结果的影响方面都存在困难。与早期的研究相比,这些数据发现更多的 ACO 直接让药剂师参与护理,扩大了通用药物的使用,电子传输处方,识别护理差距和潜在的不良事件,并向患者提供治疗替代方案。需要制定促进优化药物使用的 ACO 级政策。将药剂师纳入护理、让药剂师和医生都能获得临床数据、获得医生的认可以及衡量优化药物使用实践的影响可能会改善这些实践。

披露

这项研究由国家药物理事会 (NPC) 赞助和资助,这是一个行业资助的健康政策研究组织,不参与游说或宣传。赞助人的员工参与了研究问题的确定、研究问题的相关性以及研究设计。具体来说,他们参与了调查和访谈工具的制定。他们还参与了一些数据解释和手稿的修订。Leavitt Partners 受 NPC 委托进行这项研究,还为许多医疗保健客户提供服务,包括生命科学公司、医疗机构、医疗机构管理组织和支付方。Westrich 和 Dubois 受 NPC 雇用。Wilks、Krisle、Lunner 和 Muhlestein 受 Leavitt Partners 雇用,没有获得单独的薪酬。Krisle、Dubois 和 Muhlestein 与 Lunner 和 Westrich 一起提出了研究概念和设计。Krisle 和 Muhlestein 收集了数据,Wilks、Krisle 和 Muhlestein 以及 Dubois 和 Westrich 一起进行了数据解释。这份手稿主要由 Wilks 撰写,与 Krisle 和 Muhlestein 一起修订,由 Wilks、Westrich、Lunner 和 Krisle 一起修订。这项工作的初步版本在以下会议上进行了介绍:国家处方药物计划教育峰会,2016 年 11 月 1 日;学术健康协会 2016 年年度研究会议,2016 年 6 月 27 日;医疗机构管理组织学习协作网络研讨会,2016 年 6 月 16 日;第 21 届 PBMI 药物福利会议,2016 年 2 月 29 日;国家价值为基础的支付和绩效支付峰会,2016 年 2 月 17 日;国家医疗机构大会,2015 年 11 月 17 日;以及美国管理式医疗协会的医疗机构管理组织新兴医疗保健提供联盟,2015 年秋季现场会议,2015 年 10 月 15 日。

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