药物信息学支持的干预措施改善了护理协调,并在多元文化医疗保险人口中确定了与药房有关的安全问题
Kelly J T Craig1, Amanda L Zaleski1, Shannon M MacKenzie2
1Clinical Evidence Development, Aetna® Medical Affairs, CVS Health®, Hartford, Connecticut, United States.
Applied clinical informatics
|April 1, 2024
概括
这项研究使用药物信息学来改善多元文化医疗保险优势会员的护理. 该计划加强了药物安全和护理协调,解决了预防服务的差距.
科学领域:
- 医疗信息学 医疗信息学
- 药物信息学 是一种信息学.
- 医疗保健服务研究 医疗服务研究
背景情况:
- 多元文化老年人在预防保健和健康的社会决定因素方面面临着显著的差异.
- 这些差异导致这些人群的疾病负担和医疗保健成本增加.
- 现有的护理模式往往无法满足不同老年人的独特需求.
研究的目的:
- 描述一个以信息学为基础的方法,以成员为中心的药物信息学程序.
- 提供文化定制的微型干预措施,以弥补与药物相关的护理差距.
- 评估该计划对多元文化医疗保险优势队列中药物使用过程的影响.
主要方法:
- 一个回顾性,观察性队列分析,使用药物信息学框架.
- 评估药物使用过程微干预在医疗保险优势队列 (黑人和/或西班牙裔成员T2DM/高血压).
- 从2022年1月到2023年9月使用的索赔数据和多学科护理管理 (护理,药房).
主要成果:
- 3,265名成员 (78.3%黑人,21.7%西班牙裔) 接受了护理管理和药房转诊.
- 药物监测发现了258个急性事件,导致185个提供者就安全问题 (例如药物重复,相互作用) 进行了接触.
- 向160名会员和164名提供者进行接触,解决了药物坚持差距.
结论:
- 药品信息学,在付款人领导的多元文化计划中,改善了医疗保险优势会员的识别和风险分层.
- 该计划有助于及时接触与药房相关的安全问题.
- 证明了药物使用过程的多学科护理协调效率的提高.
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