Suppr超能文献

痴呆症患者的高风险药物:一项随机临床试验。

High-Risk Medications in Persons Living With Dementia: A Randomized Clinical Trial.

作者信息

Singh Sonal, Li Xiaojuan, Cocoros Noelle M, Antonelli Mary T, Avula Ramya, Crawford Sybil L, Dashevsky Inna, Fouayzi Hassan, Harkins Thomas P, Mazor Kathleen M, Michnick Ashley I, Parlett Lauren, Paullin Mark, Platt Richard, Rochon Paula A, Saphirak Cassandra, Si Mia, Zhou Yunping, Gurwitz Jerry H

机构信息

Department of Family Medicine and Community Health, Division of Health Systems Science, UMass Chan Medical School, Worcester, Massachusetts.

Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.

出版信息

JAMA Intern Med. 2024 Dec 1;184(12):1426-1433. doi: 10.1001/jamainternmed.2024.5632.

Abstract

IMPORTANCE

Individuals with Alzheimer disease (AD) and Alzheimer disease-related dementias (ADRD) may be at increased risk for adverse outcomes relating to inappropriate prescribing of certain high-risk medications, including antipsychotics, sedative-hypnotics, and strong anticholinergic agents.

OBJECTIVE

To evaluate the effect of a patient/caregiver and prescriber-mailed educational intervention on potentially inappropriate prescribing to patients with AD or ADRD.

DESIGN, SETTING, AND PARTICIPANTS: This prospective, open-label, pragmatic randomized clinical trial, embedded in 2 large national health plans, was conducted from April 2022 to June 2023. The trial included patients with AD or ADRD and use of any of 3 drug classes targeted for deprescribing (antipsychotics, sedative-hypnotics, or strong anticholinergics).

INTERVENTIONS

Patients were randomized to 1 of 3 arms: (1) a mailing of educational materials specific to the medication targeted for deprescribing to both the patient and their prescribing clinician; (2) a mailing to the prescribing clinician only; or (3) a usual care arm.

MAIN OUTCOMES AND MEASURES

Analysis was performed using a modified intention-to-treat approach. The primary study outcome was the dispensing of the medication targeted for deprescribing during a 6-month study observation period. Secondary outcomes included changes in medication-specific mean daily dose and health service utilization.

RESULTS

Among 12 787 patients included in the modified intention-to-treat analysis, 8742 (68.4%) were female, and the mean (SD) age was 77.3 (9.4) years. The cumulative incidence of being dispensed a medication targeted for deprescribing was 76.7% (95% CI, 75.4-78.0) in the patient and prescriber mailing group, 77.9% (95% CI, 76.5-79.1) in the prescriber mailing only group, and 77.5% (95% CI, 76.2-78.8) in the usual care group. Hazard ratios were 0.99 (95% CI, 0.94-1.04) for the patient and prescriber group and 1.00 (95% CI, 0.96-1.06) for the prescriber only group compared with the usual care group. There were no differences between the groups for secondary outcomes.

CONCLUSIONS AND RELEVANCE

These findings suggest medication-specific educational mailings targeting patients with AD or ADRD and their clinicians are not effective in reducing the use of high-risk medications.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT05147428.

摘要

重要性

患有阿尔茨海默病(AD)和与阿尔茨海默病相关的痴呆症(ADRD)的个体,因某些高风险药物(包括抗精神病药、镇静催眠药和强效抗胆碱能药物)处方不当而出现不良后果的风险可能会增加。

目的

评估向患者/护理人员和开处方医生邮寄教育干预措施对AD或ADRD患者潜在不适当处方的影响。

设计、设置和参与者:这项前瞻性、开放标签、实用性随机临床试验纳入了2个大型全国性健康计划,于2022年4月至2023年6月进行。该试验包括患有AD或ADRD且使用了3种目标为减停用药的药物类别(抗精神病药、镇静催眠药或强效抗胆碱能药物)中的任何一种的患者。

干预措施

患者被随机分为3组中的1组:(1)向患者及其开处方的临床医生邮寄针对目标减停用药的特定教育材料;(2)仅向开处方的临床医生邮寄;或(3)常规护理组。

主要结局和测量指标

采用改良意向性分析方法进行分析。主要研究结局是在6个月的研究观察期内目标减停用药的配药情况。次要结局包括特定药物的平均每日剂量变化和医疗服务利用情况。

结果

在纳入改良意向性分析的12787名患者中,8742名(68.4%)为女性,平均(标准差)年龄为77.3(9.4)岁。在患者和开处方医生邮寄组中,目标减停用药的配药累积发生率为76.7%(95%CI,75.4 - 78.0),仅开处方医生邮寄组为77.9%(95%CI,76.5 - 79.1),常规护理组为77.5%(95%CI,76.2 - 78.8)。与常规护理组相比,患者和开处方医生组的风险比为0.99(95%CI,0.94 - 1.04),仅开处方医生组为1.00(95%CI,0.96 - 1.06)。各组次要结局之间无差异。

结论和相关性

这些发现表明,针对AD或ADRD患者及其临床医生的特定药物教育邮件在减少高风险药物使用方面无效。

试验注册

ClinicalTrials.gov标识符:NCT05147428。

相似文献

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验