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Published on: August 1, 2019
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Characteristics of Effective Colorectal Cancer Screening Navigation Programs in Federally Qualified Health Centers: A
Journal of Health Care for the Poor and Underserved
|February 28, 2017
Summary
Patient navigation programs effectively increase colorectal cancer (CRC) screening in federally qualified community health centers (FQHCs). Tailored navigation and robust tracking systems are key to overcoming implementation challenges and reducing disparities.
Area of Science:
- Public Health
- Cancer Prevention
- Health Services Research
Background:
- Colorectal cancer (CRC) incidence and mortality have decreased in the U.S. due to screening and early detection.
- Persistent racial/ethnic disparities in CRC screening and mortality highlight the need for effective interventions.
- Patient navigation has demonstrated efficacy in enhancing CRC screening rates.
Purpose of the Study:
- To systematically review patient navigation programs in federally qualified community health centers (FQHCs).
- To identify effective navigation activities for increasing CRC screening prevalence.
- To determine implementation challenges and supportive clinic protocols within FQHCs.
Main Methods:
- Systematic review of studies examining patient navigation for CRC screening in FQHCs.
- Analysis of navigation activities, implementation barriers, and facilitating clinic protocols.
Main Results:
- Navigation services need to be customized based on the specific CRC screening test utilized.
- FQHCs face challenges in maintaining updated electronic medical records and securing sustainable funding.
- Effective patient tracking systems for follow-up and rescreening, alongside multiple screening completion protocols, are recommended.
Conclusions:
- Patient navigation is crucial for FQHCs aiming to improve CRC screening and address health disparities.
- Tailored navigation strategies and strong operational support are essential for program success.
- Integrating patient navigation aligns with the principles of patient-centered care models.
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