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A framework for scaling up health interventions: lessons from large-scale improvement initiatives in Africa

机译:扩大卫生干预措施的框架:非洲大规模改善举措的经验教训

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摘要

BackgroundScaling up complex health interventions to large populations is not a straightforward task. Without intentional, guided efforts to scale up, it can take many years for a new evidence-based intervention to be broadly implemented. For the past decade, researchers and implementers have developed models of scale-up that move beyond earlier paradigms that assumed ideas and practices would successfully spread through a combination of publication, policy, training, and example.Drawing from the previously reported frameworks for scaling up health interventions and our experience in the USA and abroad, we describe a framework for taking health interventions to full scale, and we use two large-scale improvement initiatives in Africa to illustrate the framework in action. We first identified other scale-up approaches for comparison and analysis of common constructs by searching for systematic reviews of scale-up in health care, reviewing those bibliographies, speaking with experts, and reviewing common research databases (PubMed, Google Scholar) for papers in English from peer-reviewed and “gray” sources that discussed models, frameworks, or theories for scale-up from 2000 to 2014. We then analyzed the results of this external review in the context of the models and frameworks developed over the past 20 years by Associates in Process Improvement (API) and the Institute for Healthcare improvement (IHI). Finally, we reflected on two national-scale improvement initiatives that IHI had undertaken in Ghana and South Africa that were testing grounds for early iterations of the framework presented in this paper.
机译:背景技术将复杂的卫生干预措施扩大到大量人群并不是一件容易的事。如果没有有意的扩大指导规模的努力,可能需要很多年才能广泛实施基于证据的新干预措施。在过去的十年中,研究人员和实施人员已经开发出了扩大规模的模型,这些模型超越了先前的范式,这些范式假设思想和实践将通过出版物,政策,培训和范例的结合而成功传播。卫生干预措施以及我们在美国和国外的经验,我们描述了全面实施卫生干预措施的框架,并且我们在非洲使用了两项大规模的改善措施来说明该框架的作用。我们首先通过搜索系统评价医疗保健规模的系统评价,审查这些参考书目,与专家交谈以及审阅通用研究数据库(PubMed,Google Scholar)以查找以下论文中的其他放大方法,以比较和分析常见结构:来自同行评审和“灰色”资源的英语,讨论了2000年至2014年期间扩大规模的模型,框架或理论。然后,我们在过去20年中开发的模型和框架的背景下分析了此次外部审查的结果由过程改进协会(API)和医疗保健研究所(IHI)联合提出。最后,我们回顾了IHI在加纳和南非采取的两项全国规模的改进计划,这些计划正在测试本文提出的框架的早期迭代基础。

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