• 1. Acacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou 510515, P. R. China;
  • 2. School of Public Health, Guizhou Medical University, Guiyang 550000, P. R. China;
  • 3. Provincial Hospital of Chinese Medicine, Guangzhou 510120, P. R. China;
  • 4. Center for World Health Organization Studies and Department of Health Management, School of Health Management of Southern Medical University, Guangzhou 510515, P. R. China;
  • 5. Institute for Global Health, Dermatology Hospital of Southern Medical University, Guangzhou 510515, P. R. China;
XU Dong, Email: romanxu@i.smu.edu.cn
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The RE-AIM framework is the most commonly used framework for implementation research outcome evaluation, with the original paper cited 2 800 times. However, in the specific operationalization process of the framework, there are often situations of misuse or overuse of various dimensions and indicators. This article provides a detailed introduction to the main content, application scenarios, and characteristics of the RE-AIM framework. Taking the implementation research of Evidence-based Practice Guidelines for Integrated Traditional Chinese and Western Medicine Treatment of Stroke as an example, it introduces how to use the silent & anonymous feedback technology, which combines the improved Delphi method and nominal group technique, to construct an implementation outcome indicator evaluation system to achieve the operability of the RE-AIM framework. This will provide a reference for other researchers to use implementation science theories, models, and frameworks to develop implementation plans or evaluate implementation outcomes.

Citation: LV Sensen, CAI Yiyuan, HE Wenjun, CAI Yefeng, NI Xiaojia, LUO Huanyuan, ZHONG Dongmei, LIU Siyuan, ZHAO Qing, ZHANG Lanping, LI Jiaqi, CHEN Xiaoshan, XIE Yunyun, LI Chunping, HUANG Wanqing, XU Dong. Method of using RE-AIM framework to develop implementation outcome indicators. Chinese Journal of Evidence-Based Medicine, 2023, 23(6): 695-701. doi: 10.7507/1672-2531.202211159 Copy

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