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The Chronic Care Model and Diabetes Management in US Primary Care Settings: A Systematic Review

Filetype[PDF-368.89 KB]


  • English

  • Details:

    • Alternative Title:
      Prev Chronic Dis
    • Description:
      Introduction

      The Chronic Care Model (CCM) uses a systematic approach to restructuring medical care to create partnerships between health systems and communities. The objective of this study was to describe how researchers have applied CCM in US primary care settings to provide care for people who have diabetes and to describe outcomes of CCM implementation.

      Methods

      We conducted a literature review by using the Cochrane database of systematic reviews, CINAHL, and Health Source: Nursing/Academic Edition and the following search terms: “chronic care model” (and) “diabet*.” We included articles published between January 1999 and October 2011. We summarized details on CCM application and health outcomes for 16 studies.

      Results

      The 16 studies included various study designs, including 9 randomized controlled trials, and settings, including academic-affiliated primary care practices and private practices. We found evidence that CCM approaches have been effective in managing diabetes in US primary care settings. Organizational leaders in health care systems initiated system-level reorganizations that improved the coordination of diabetes care. Disease registries and electronic medical records were used to establish patient-centered goals, monitor patient progress, and identify lapses in care. Primary care physicians (PCPs) were trained to deliver evidence-based care, and PCP office–based diabetes self-management education improved patient outcomes. Only 7 studies described strategies for addressing community resources and policies.

      Conclusion

      CCM is being used for diabetes care in US primary care settings, and positive outcomes have been reported. Future research on integration of CCM into primary care settings for diabetes management should measure diabetes process indicators, such as self-efficacy for disease management and clinical decision making.

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