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Balancing 'fidelity' and community context in the adaptation of asthma evidence-based interventions in the 'real world'.

机译:在“现实世界”中对哮喘循证干预的适应中平衡“忠诚度”和社区背景。

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摘要

The Merck Childhood Asthma Network (MCAN) initiative selected five sites (New York City, Puerto Rico, Chicago, Los Angeles, and Philadelphia) to engage in translational research to adapt evidence-based interventions (EBIs) to improve childhood asthma outcomes. The authors summarize the sites' experience by describing criteria defining the fidelity of translation, community contextual factors serving as barriers or enablers to fidelity, types of adaptation conducted, and strategies used to balance contextual factors and fidelity in developing a "best fit" for EBIs in the community. A conceptual model captures important structural and process-related factors and helps frame lessons learned. Site implementers and intervention developers reached consensus on qualitative rankings of the levels of fidelity of implementation for each of the EBI core components: low fidelity, adaptation (major vs. minor), or high fidelity. MCAN sites were successful in adapting core EBI components based on their understanding of structural and other contextual barriers and enhancers in their communities. Although the sites varied regarding both the EBI components they implemented and their respective levels of fidelity, all sites observed improvement in asthma outcomes. Our collective experiences of adapting and implementing asthma EBIs highlight many of the factors affecting translation of evidenced-based approaches to chronic disease management in real community settings.
机译:默克儿童哮喘网络(MCAN)计划选择了五个地点(纽约市,波多黎各,芝加哥,洛杉矶和费城)进行转化研究,以改编循证干预措施(EBI)以改善儿童哮喘的结局。作者通过描述定义翻译保真度的标准,充当保真度障碍或促成因素的社区环境因素,进行的适应类型以及在为EBI开发“最佳匹配”时平衡语境因素和保真度的策略来总结站点的经验。在社区中。概念模型可捕获重要的结构和过程相关因素,并有助于总结经验教训。站点实施者和干预开发人员在每个EBI核心组件的实施保真度级别的定性排名上达成共识:低保真度,适应性(主要与次要)或高保真度。 MCAN站点基于对社区中结构性和其他上下文障碍以及增强器的理解,成功地调整了EBI核心组件。尽管这些站点在实施的EBI组件及其保真度方面各不相同,但所有站点均观察到哮喘预后得到改善。我们在适应和实施哮喘EBI方面的集体经验突显了许多因素,这些因素影响了在实际社区环境中以证据为基础的慢性病管理方法的翻译。

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