Navigating uncertainty in evidence-informed decision-making for traditional, complementary and integrative medicine: An updated critical interpretive review

应对传统、补充和整合医学循证决策中的不确定性:一项更新的批判性解释性综述

阅读:4

Abstract

BACKGROUND: Evidence-informed decision-making (EIDM) presents unique challenges for traditional, complementary and integrative medicine (TCIM). To aid decision-making, a critical interpretive review was updated to examine how internationally and nationally endorsed consensus statements on guideline development and policy briefs, along with TCIM-specific recommendations may address these challenges. METHODS: The review drew on critical interpretive synthesis and rapid review methods. PubMed, CINAHL and AIMED were searched on 19 January 2024. Single reviewers conducted the screening and extracted descriptive data. Analysis began deductively from the original review themes and developed iteratively. RESULTS: Included were 167 publications. Over the past decade, evidence-to-decision (EtD) frameworks have considered a broader range of modifying factors (e.g., importance of the problem, stakeholder preferences, feasibility, costs, health equity, human rights, social impacts) that may warrant making a stronger recommendation despite lower certainty evidence, and vice versa. Additional strategies proposed by TCIM guideline developers included systematically incorporating multiple evidence sources and developing TCIM extensions for reporting guidelines. Four interrelated themes affirmed the importance of 1) transparent and inclusive decision-making, 2) ensuring the scope and framing of the problem are sensitive to TCIM contexts, 3) using diverse types of evidence in EtD frameworks and when there is evidence uncertainty, and 4) centering equity, including epistemic equity, throughout the EIDM process. CONCLUSION: Advancing EIDM methodologies specifically for TCIM guideline development and policy can help decision-makers navigate evidence uncertainty to support the appropriate integration of TCIM into global health systems. PROTOCOL REGISTRATION: International Platform of Registered Systematic Review and Meta-analysis Protocols: INPLASY202510066.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。