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Research design issues for evaluating complex multicomponent interventions in neighborhoods and communities

机译:用于评估社区和社区中复杂的多组件干预措施的研究设计问题

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摘要

Major advances in population health will not occur unless we translate existing knowledge into effective multicomponent interventions, implement and maintain these in communities, and develop rigorous translational research and evaluation methods to ensure continual improvement and sustainability. We discuss challenges and offer approaches to evaluation that are key for translational research stages 3 to 5 to advance optimized adoption, implementation, and maintenance of effective and replicable multicomponent strategies. The major challenges we discuss concern (a) multiple contexts of evaluation/research, (b) complexity of packages of interventions, and (c) phases of evaluation/research questions. We suggest multiple alternative research designs that maintain rigor but accommodate these challenges and highlight the need for measurement systems. Longitudinal data collection and a standardized continuous measurement system are fundamental to the evaluation and refinement of complex multicomponent interventions. To be useful to T3–T5 translational research efforts in neighborhoods and communities, such a system would include assessments of the reach, implementation, effects on immediate outcomes, and effects of the comprehensive intervention package on more distal health outcomes.
机译:除非我们将现有知识转化为有效的多成分干预措施,在社区中实施和维护,并开发严格的转化研究和评估方法以确保持续改进和可持续发展,否则人口健康将不会取得重大进步。我们讨论了挑战,并提供了评估方法,这些方法对于翻译研究阶段3至5至关重要,以推进优化采用,实施和维护有效且可复制的多成分策略的过程。我们讨论的主要挑战涉及(a)评估/研究的多种环境,(b)一揽子干预措施的复杂性,以及(c)评估/研究问题的阶段。我们建议采用多种替代研究设计,这些设计既要保持严谨又要应对这些挑战,并强调对测量系统的需求。纵向数据收集和标准化的连续测量系统是评估和完善复杂的多组分干预措施的基础。为了对邻里和社区中的T3–T5转化研究工作有用,该系统将包括评估范围,实施,对立即结果的影响以及综合干预措施对更远端健康结果的影响。

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