Implementability of clinical practice guidelines: the review and development of a Comprehensive Framework for Guideline Implementability (CFGI)
作者:Dongmei Zhong, Yimin Wu, Gregory A. Aarons, Alison M. Hutchinson, William CW Wong, Sensen Lv, Zaiwei Song, Yanni Wu, David Bishai, K. Chen, Nan Yang, Yaolong Chen, Zhaolan Liu, Lijiao Yan, Pengxiang Zhou, Dong Xu · 发表于:Implementation Science Communications · 年份:2025 · DOI:10.1186/s43058-025-00780-3 · 被引用次数:4 · 研究领域:Clinical practice guidelines implementation、Health Policy Implementation Science、Electronic Health Records Systems
INTRODUCTION: We define clinical practice guideline (CPGs) implementability as the characteristics of the guideline that reflect the extent to which it is likely to be adopted in clinical practice. Our objectives were to create a comprehensive and evidence-informed framework of guideline implementability (CFGI). METHODS: A mixed-methods approach was used. Based on a systematic literature review of six databases as the foundation, the initial version of the CFGI was created, followed by external consultations to gather feedback and natural language processing tool-assisted classification to refine the framework. To get external validation of the CFGI from expert feedback at an international conference. RESULTS: Fifteen studies related to guideline implementability were identified from the systematic Literature review. The first version of CFGI was compiled, including 6 domains. Feedback on the first version was received from 16 stakeholders, including clinicians, nurses, medical managers, and guideline methodologists, combined with natural language processing tool-assisted classification. The final version of the CFGI is comprised of 6 core domains, containing 21 constructs: (1) Scope and purpose; (2) Clarity and consistency of recommendations; (3) Development and evidence base; (4) Structure and Contents; (5) Development team and transparency; and (6) Implementation environment and tools. Twenty-nine experts participated in the external validation, and the results showed that...