Deimplementation of ineffective and harmful medical practices: a data-driven commentary.

IF 4.8 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH American journal of epidemiology Pub Date : 2025-04-08 DOI:10.1093/aje/kwae285
Beth L Pineles, Christopher P Bonafide, Laura Ellen Ashcraft
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Abstract

Deimplementation is the discontinuation or abandonment of medical practices that are ineffective or of unclear effectiveness, ranging from simply unhelpful to harmful. With epidemiology expanding to include more translational sciences, epidemiologists can contribute to deimplementation by defining evidence, establishing causality, and advising on study design. An estimated 10%-30% of health care practices have minimal to no benefit to patients and should be targeted for deimplementation. The steps in deimplementation are (1) identify low-value clinical practices, (2) facilitate the deimplementation process, (3) evaluate deimplementation outcomes, and (4) sustain deimplementation, each of which is a complex project. Deimplementation science involves researchers, health care and clinical stakeholders, and patient and community partners affected by the medical practice. Increasing collaboration between epidemiologists and implementation scientists is important to optimizing health care delivery.

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取消无效和有害的医疗实践:数据驱动的评论。
终止实施是指中止或放弃无效或效果不明确的医疗实践,包括无益或有害的医疗实践。随着流行病学的扩展,包括了更多的转化科学,流行病学家可以通过定义证据、确定因果关系和就研究设计提供建议来促进去实施化。据估计,10%-30% 的医疗保健实践对患者的益处微乎其微,甚至毫无益处,因此应成为取消实施的目标。取消实施的步骤如下1) 识别低价值临床实践,2) 促进取消实施过程,3) 评估取消实施的结果,4) 维持取消实施,每一个步骤都是一个复杂的项目。终止实施科学涉及研究人员、医疗保健和临床利益相关者以及受医疗实践影响的患者和社区合作伙伴。加强流行病学家与实施科学家之间的合作对于优化医疗服务非常重要。
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来源期刊
American journal of epidemiology
American journal of epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
7.40
自引率
4.00%
发文量
221
审稿时长
3-6 weeks
期刊介绍: The American Journal of Epidemiology is the oldest and one of the premier epidemiologic journals devoted to the publication of empirical research findings, opinion pieces, and methodological developments in the field of epidemiologic research. It is a peer-reviewed journal aimed at both fellow epidemiologists and those who use epidemiologic data, including public health workers and clinicians.
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