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Community Health and Preventive Medicine Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Community Health and Preventive Medicine
Imagine A World …, David A. Nelson
Imagine A World …, David A. Nelson
Journal of Patient-Centered Research and Reviews
The author and issue editor introduces the second half of Journal of Patient-Centered Research and Reviews’ two-part series on health disparities and inequities in the United States. The chasm between an ideal health care system and the current reality may appear vast, and closing it insurmountable at times, but acknowledging and working to address the many health conditions that disproportionately affect specific patient populations is one step health providers and researchers can take toward closing the gap.
Identifying And Targeting Age-Related Colorectal Cancer Screening Rate Disparities In Family Medicine Residency Clinics, Jonathan J. Blaza, Jasmine R. Wiley, Matthew Gill, Alonzo Jalan, Will Lehmann, Deborah Simpson, Jeffrey A. Stearns
Identifying And Targeting Age-Related Colorectal Cancer Screening Rate Disparities In Family Medicine Residency Clinics, Jonathan J. Blaza, Jasmine R. Wiley, Matthew Gill, Alonzo Jalan, Will Lehmann, Deborah Simpson, Jeffrey A. Stearns
Journal of Patient-Centered Research and Reviews
Background: Health care systems continuously seek to improve patient care through population-level analysis of clinical quality metrics and patient characteristics to identify disparities in care. Nationally, disparities in colorectal cancer (CRC) screening rates have been identified with lower screening rates reported for patients who are uninsured and/or lower socioeconomic status, African American/black, Asian, and non-English-speaking Hispanic patients. No age-related CRC screening rate disparities with associated interventions have been reported.
Purpose: Determine and address CRC screening disparities in care provided to eligible patients > 50 years old in two primary care residency clinics.
Methods: Retrospective analysis using REAL-G (race, ethnicity, age, preferred …