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本文引用的文献

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Economic outcomes of pharmacist-physician medication therapy management for polypharmacy elderly: A prospective, randomized, controlled trial.药师-医师药物治疗管理对老年多病患者的经济结局:一项前瞻性、随机、对照试验。
J Formos Med Assoc. 2018 Mar;117(3):235-243. doi: 10.1016/j.jfma.2017.04.017. Epub 2017 May 23.
2
Optimizing medication appropriateness in older adults: a randomized clinical interventional trial to decrease anticholinergic burden.优化老年人用药合理性:一项降低抗胆碱能负担的随机临床干预试验
Alzheimers Res Ther. 2017 May 23;9(1):36. doi: 10.1186/s13195-017-0263-9.
3
Effectiveness of a Clinical Pharmacist Medication Therapy Management Program in Discontinuation of Drugs to Avoid in the Elderly.临床药师药物治疗管理方案在停止老年人避免使用药物中的效果。
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4
Positive Medication Changes Resulting from Comprehensive and Noncomprehensive Medication Reviews in a Medicare Part D Population.医疗保险部分 D 人群中全面和非全面药物审查导致的积极药物变化。
J Manag Care Spec Pharm. 2017 Mar;23(3):388-394. doi: 10.18553/jmcp.2017.23.3.388.
5
Is There a Relationship Between Part D Medication Adherence and Part C Intermediate Outcomes Star Ratings Measures?D 部分药物依从性与 C 部分中间结果星级评定措施之间是否存在关系?
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6
Impact of Medicare Advantage Prescription Drug Plan Star Ratings on Enrollment before and after Implementation of Quality-Related Bonus Payments in 2012.2012年与质量相关的奖金支付实施前后,医疗保险优势处方药计划星级评定对参保人数的影响。
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7
American Geriatrics Society 2015 Updated Beers Criteria for Potentially Inappropriate Medication Use in Older Adults.美国老年医学会2015年更新的《老年人潜在不适当用药的Beers标准》
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8
Relationships between Medicare Advantage contract characteristics and quality-of-care ratings: an observational analysis of Medicare Advantage star ratings.医疗保险优势计划合同特征与医疗质量评级之间的关系:对医疗保险优势星级评级的观测性分析。
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Predictors of high-risk prescribing among elderly Medicare Advantage beneficiaries.老年医疗保险优势受益人群中高风险处方的预测因素。
Am J Manag Care. 2014 Oct 1;20(10):e469-78.
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Is there an association between the high-risk medication star ratings and member experience CMS star ratings measures?高风险药物星级评分与会员体验 CMS 星级评分措施之间是否存在关联?
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计划类型和综合药物审查对高风险药物使用的影响。

The Effect of Plan Type and Comprehensive Medication Reviews on High-Risk Medication Use.

机构信息

1 Ohio State University College of Pharmacy, Columbus.

2 University of Arizona College of Pharmacy, Tucson.

出版信息

J Manag Care Spec Pharm. 2018 May;24(5):416-422. doi: 10.18553/jmcp.2018.24.5.416.

DOI:10.18553/jmcp.2018.24.5.416
PMID:29694292
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10397681/
Abstract

BACKGROUND

In 2007, the Centers for Medicare & Medicaid Services (CMS) instituted a star rating system using performance outcome measures to assess Medicare Advantage Prescription Drug (MAPD) and Prescription Drug Plan (PDP) providers.

OBJECTIVE

To assess the relationship between 2 performance outcome measures for Medicare insurance providers, comprehensive medication reviews (CMRs), and high-risk medication use.

METHODS

This cross-sectional study included Medicare Part C and Part D performance data from the 2014 and 2015 calendar years. Performance data were downloaded per Medicare contract from the CMS. We matched Medicare insurance provider performance data with the enrollment data of each contract. Mann Whitney U and Spearman rho tests and a hierarchical linear regression model assessed the relationship between provider characteristics, high-risk medication use, and CMR completion rate outcome measures.

RESULTS

In 2014, an inverse correlation between CMR completion rate and high-risk medication use was identified among MAPD plan providers. This relationship was further strengthened in 2015. No correlation was detected between the CMR completion rate and high-risk medication use among PDP plan providers in either year. A multivariate regression found an inverse association with high-risk medication use among MAPD plan providers in comparison with PDP plan providers in 2014 (beta = -0.358, P < 0.001) and 2015 (beta = -0.350, P < 0.001), the CMR completion rate in 2015 (beta = -0.221, P < 0.001), and enrollee population size in 2015 (beta = -0.203, P = 0.001).

CONCLUSIONS

This study found that MAPD plan providers and higher CMR completion rates were associated with lower use of high-risk medications among beneficiaries.

DISCLOSURES

No outside funding supported this study. Silva Almodovar reports a fellowship funded by SinfoniaRx, Tucson, Arizona, during the time of this study. The other authors have nothing to disclose.

摘要

背景

2007 年,医疗保险和医疗补助服务中心(CMS)实施了一项星级评级系统,使用绩效结果衡量标准来评估医疗保险优势处方药(MAPD)和处方药计划(PDP)提供者。

目的

评估医疗保险提供者的两种绩效结果衡量标准,即综合药物评估(CMR)和高风险药物使用之间的关系。

方法

这项横断面研究包括 2014 年和 2015 年的 Medicare 部分 C 和部分 D 绩效数据。从 CMS 按 Medicare 合同下载绩效数据。我们将医疗保险提供者的绩效数据与每个合同的参保数据相匹配。使用 Mann-Whitney U 和 Spearman rho 检验以及分层线性回归模型评估提供者特征、高风险药物使用与 CMR 完成率结果之间的关系。

结果

在 2014 年,MAPD 计划提供者中发现 CMR 完成率与高风险药物使用之间呈负相关关系。这种关系在 2015 年进一步加强。在这两年中,PDP 计划提供者的 CMR 完成率与高风险药物使用之间均未发现相关性。多元回归发现,与 PDP 计划提供者相比,2014 年(β=-0.358,P<0.001)和 2015 年(β=-0.350,P<0.001)MAPD 计划提供者中高风险药物使用与 CMR 完成率呈负相关,2015 年 CMR 完成率(β=-0.221,P<0.001)和参保人数(β=-0.203,P=0.001)呈负相关。

结论

本研究发现,MAPD 计划提供者和更高的 CMR 完成率与受益人的高风险药物使用量降低相关。

披露

本研究无外部资金支持。Silva Almodovar 报告在本研究期间,他获得了来自亚利桑那州图森的 SinfoniaRx 的奖学金。其他作者没有需要披露的内容。