Using the Principles of Complex Systems Thinking and Implementation Science to Enhance Maternal and Child Health Program Planning and Delivery
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  • 作者:Charlan D. Kroelinger (1)
    Kristin M. Rankin (2)
    David A. Chambers (3)
    Ana V. Diez Roux (4)
    Karen Hughes (5)
    Violanda Grigorescu (1)
  • 关键词:Implementation science ; Complex systems thinking ; Quality assurance ; Public health ; Theory
  • 刊名:Maternal and Child Health Journal
  • 出版年:2014
  • 出版时间:September 2014
  • 年:2014
  • 卷:18
  • 期:7
  • 页码:1560-1564
  • 全文大小:436 KB
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  • 作者单位:Charlan D. Kroelinger (1)
    Kristin M. Rankin (2)
    David A. Chambers (3)
    Ana V. Diez Roux (4)
    Karen Hughes (5)
    Violanda Grigorescu (1)

    1. Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, MS F-74, Chamblee, GA, 30341, USA
    2. Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA
    3. Division of Services and Intervention Research, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
    4. Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
    5. Division of Family and Community Health Services, Ohio Department of Health, Columbus, OH, USA
  • ISSN:1573-6628
文摘
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 CityMatCH 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.

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