Glasgow R E, Vogt T M, Boles S M
AMC Cancer Research Center, Denver, CO 80214, USA.
Am J Public Health. 1999 Sep;89(9):1322-7. doi: 10.2105/ajph.89.9.1322.
Progress in public health and community-based interventions has been hampered by the lack of a comprehensive evaluation framework appropriate to such programs. Multilevel interventions that incorporate policy, environmental, and individual components should be evaluated with measurements suited to their settings, goals, and purpose. In this commentary, the authors propose a model (termed the RE-AIM model) for evaluating public health interventions that assesses 5 dimensions: reach, efficacy, adoption, implementation, and maintenance. These dimensions occur at multiple levels (e.g., individual, clinic or organization, community) and interact to determine the public health or population-based impact of a program or policy. The authors discuss issues in evaluating each of these dimensions and combining them to determine overall public health impact. Failure to adequately evaluate programs on all 5 dimensions can lead to a waste of resources, discontinuities between stages of research, and failure to improve public health to the limits of our capacity. The authors summarize strengths and limitations of the RE-AIM model and recommend areas for future research and application.
公共卫生和基于社区的干预措施的进展受到缺乏适用于此类项目的综合评估框架的阻碍。包含政策、环境和个体层面的多层次干预措施,应以适合其背景、目标和目的的测量方法进行评估。在这篇评论中,作者提出了一个用于评估公共卫生干预措施的模型(称为RE-AIM模型),该模型评估五个维度:覆盖范围、效果、采用情况、实施情况和维持情况。这些维度存在于多个层面(例如个体、诊所或组织、社区),并相互作用以确定一个项目或政策对公共卫生或基于人群的影响。作者讨论了评估这些维度中的每一个维度以及将它们结合起来以确定总体公共卫生影响时的相关问题。未能在所有五个维度上对项目进行充分评估可能会导致资源浪费、研究阶段之间的脱节以及无法将公共卫生改善到我们能力的极限。作者总结了RE-AIM模型的优势和局限性,并推荐了未来研究和应用的领域。