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Using the Principles of Complex Systems Thinking and Implementation Science to Enhance Maternal and Child Health Program Planning and Delivery

机译:利用复杂系统思想和实施科学原理加强母婴健康计划的规划和实施

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摘要

Traditionally, epidemiologic methodologies have focused on measurement of exposures, outcomes, and program impact through reductionistic, yet complex statistical modeling. Although not new to the field of epidemiology, two frameworks that provide epidemiologists with a foundation for understanding the complex contexts in which programs and policies are implemented were presented to maternal and child health (MCH) professionals at the 2012 co-hosted 18th Annual MCH Epidemiology Conference and 22nd City>Mat>CH Urban Leadership Conference. The complex systems approach offers researchers in MCH the opportunity to understand the functioning of social, medical, environmental, and behavioral factors within the context of implemented public health programs. Implementation science provides researchers with a framework to translate the evidence-based program interventions into practices and policies that impact health outcomes. Both approaches offer MCH epidemiologists conceptual frameworks with which to re-envision how programs are implemented, monitored, evaluated, and reported to the larger public health audience. By using these approaches, researchers can begin to understand and measure the broader public health context, account for the dynamic interplay of the social environment, and ultimately, develop more effective MCH programs and policies.
机译:传统上,流行病学方法论着重于通过减少但复杂的统计模型来衡量暴露,结果和项目影响。尽管这不是流行病学领域的新知识,但在2012年联合举办的第18届MCH流行病学年度会议上,向母婴健康(MCH)专业人员介绍了两个框架,为流行病学家提供了了解实施计划和政策的复杂环境的基础。会议和第22届城市> M 在> CH 城市领导力会议上。复杂的系统方法为妇幼保健研究人员提供了在已实施的公共卫生计划的背景下了解社会,医学,环境和行为因素的功能的机会。实施科学为研究人员提供了一个框架,可将基于证据的计划干预措施转化为影响健康结果的实践和政策。两种方法都为MCH流行病学家提供了概念框架,通过这些框架可以重新设想如何实施,监控,评估计划并向更多的公共卫生受众报告。通过使用这些方法,研究人员可以开始理解和衡量更广泛的公共卫生背景,应对社会环境的动态相互作用,并最终制定更有效的妇幼保健计划和政策。

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