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美国养老院中抗癫痫药物和其他精神药物的处方趋势及相关结局:混合方法研究建议。

Prescribing Trends and Associated Outcomes of Antiepileptic Drugs and Other Psychotropic Medications in US Nursing Homes: Proposal for a Mixed Methods Investigation.

机构信息

Department of Family Medicine and Population Health, School of Medicine, Viginia Commonwealth University, Richmond, VA, United States.

Peter Lamy Center on Drug Therapy and Aging, School of Pharmacy, University of Maryland, Baltimore, MD, United States.

出版信息

JMIR Res Protoc. 2024 Sep 19;13:e64446. doi: 10.2196/64446.

Abstract

BACKGROUND

Pilot data suggest that off-label, unmonitored antiepileptic drug prescribing for behavioral and psychological symptoms of dementia is increasing, replacing other psychotropic medications targeted by purposeful reduction efforts. This trend accelerated during the COVID-19 pandemic. Although adverse outcomes related to this trend remain unknown, preliminary results hint that harms may be increasing and concentrated in vulnerable populations.

OBJECTIVE

Using a mixed methods approach including both a retrospective secondary data analysis and a national clinician survey, this study aims to describe appropriate and potentially inappropriate antiepileptic and other psychoactive drug prescribing in US nursing homes (NHs), characteristics and patient-oriented outcomes associated with this prescribing, and how these phenomena may be changing under the combined stressors of the COVID-19 pandemic and the pressure of reduction initiatives.

METHODS

To accomplish the objective, resident-level, mixed-effects regression models and interrupted time-series analyses will draw on cohort elements linked at an individual level from the Centers for Medicare and Medicaid Services' (CMS) Minimum Data Set, Medicare Part D, Medicare Provider Analysis and Review, and Outpatient and Public Use Files. Quarterly cohorts of NH residents (2009-2021) will incorporate individual-level data, including demographics; health status; disease variables; psychotropic medication claims; comprehensive NH health outcomes; hospital and emergency department adverse events; and NH details, including staffing resources and COVID-19 statistics. To help explain and validate findings, we will conduct a national qualitative survey of NH prescribers regarding their knowledge and beliefs surrounding changing approaches to dementia care and associated outcomes.

RESULTS

Funding was obtained in September 2022. Institutional review board exemption approval was obtained in January 2023. The CMS Data Use Agreement was submitted in May 2023 and signed in March 2024. Data access was obtained in June 2024. Cohort creation is anticipated by January 2025, with crosswalks finalized by July 2025. The first survey was fielded in October 2023 and published in July 2024. The second survey was fielded in March 2024. The results are in review as of July 2024. Iterative survey cycles will continue biannually until December 2026. Multidisciplinary dissemination of survey analysis results began in July 2023, and dissemination of secondary data findings is anticipated to begin January 2025. These processes are ongoing, with investigation to wrap up by June 2027.

CONCLUSIONS

This study will detail appropriate and inappropriate antiepileptic drug use and related outcomes in NHs and describe disparities in long-stay subpopulations treated or not treated with psychotropics. It will delineate the impact of the pandemic in combination with national policies on dementia management and outcomes. We believe this mixed methods approach, including processes that link multiple CMS data sets at an individual level and survey-relevant stakeholders, can be replicated and applied to evaluate a variety of patient-oriented questions in diverse clinical populations.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/64446.

摘要

背景

初步研究结果表明,针对痴呆患者行为和心理症状的超适应证、无监测的抗癫痫药物处方不断增加,正在取代其他有明确减少使用目标的精神药物。这一趋势在新冠疫情期间加速发展。尽管与这一趋势相关的不良后果尚不清楚,但初步结果表明,危害可能正在增加,并集中在弱势群体中。

目的

本研究采用混合方法,包括回顾性二次数据分析和全国临床医生调查,旨在描述美国养老院中适当和潜在不适当的抗癫痫药物和其他精神药物的处方情况、与这种处方相关的特征和患者导向的结果,以及在新冠疫情和减少措施压力的双重压力下,这些现象可能如何发生变化。

方法

为了实现目标,居民层面的混合效应回归模型和时间序列分析将利用来自医疗保险和医疗补助服务中心(CMS)最低数据集、医疗保险部分 D、医疗保险提供者分析和审查以及门诊和公共使用文件的个体层面链接的队列元素。2009 年至 2021 年)将纳入个体层面数据,包括人口统计学信息;健康状况;疾病变量;精神药物索赔;综合养老院健康结果;医院和急诊室不良事件;以及养老院详细信息,包括人员配备资源和新冠疫情统计数据。为了帮助解释和验证研究结果,我们将对养老院的临床医生进行全国性的定性调查,了解他们对痴呆症护理方法变化以及相关结果的认知和信念。

结果

研究于 2022 年 9 月获得资金。2023 年 1 月获得机构审查委员会豁免批准。2023 年 5 月提交 CMS 数据使用协议,并于 2024 年 3 月签署。2024 年 6 月获得数据访问权限。预计 2025 年 1 月创建队列,2025 年 7 月完成交叉核对。2023 年 10 月首次进行调查,并于 2024 年 7 月发表。2024 年 3 月进行第二次调查。截至 2024 年 7 月,研究结果正在审查中。从 2023 年 7 月开始进行多学科传播调查分析结果,并预计从 2025 年 1 月开始传播二次数据分析结果。这些过程正在进行中,调查将于 2027 年 6 月结束。

结论

本研究将详细描述养老院中适当和不适当的抗癫痫药物使用情况以及相关结果,并描述在接受或未接受精神药物治疗的长期居住亚群中的差异。它将阐明疫情与国家痴呆症管理政策相结合对管理和结果的影响。我们相信,这种混合方法,包括将多个 CMS 数据集在个体层面链接的过程和与调查相关的利益相关者,可以复制并应用于评估各种不同临床人群的患者导向问题。

国际注册报告标识符(IRRID):DERR1-10.2196/64446。

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