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Multi-level predictors of being up-to-date with colorectal cancer screening
Multi-level predictors of being up-to-date with colorectal cancer screening
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Multi-level predictors of being up-to-date with colorectal cancer screening
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Multi-level predictors of being up-to-date with colorectal cancer screening
Multi-level predictors of being up-to-date with colorectal cancer screening

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Multi-level predictors of being up-to-date with colorectal cancer screening
Multi-level predictors of being up-to-date with colorectal cancer screening
Journal Article

Multi-level predictors of being up-to-date with colorectal cancer screening

2023
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Overview
PurposeAssessing factors associated with being up-to-date with colorectal cancer (CRC) screening is important for identifying populations for which targeted interventions may be needed.MethodsThis study used Medicare and private insurance claims data for residents of North Carolina to identify up-to-date status in the 10th year of continuous enrollment in the claims data and in available subsequent years. USPSTF guidelines were used to define up-to-date status for multiple recommended modalities. Area Health Resources Files provided geographic and health care service provider data at the county level. A generalized estimating equation logistic regression model was used to examine the association between individual- and county-level characteristics and being up-to-date with CRC screening.ResultsFrom 2012–2016, 75% of the sample (n = 274,660) age 59–75 was up-to-date. We identified several individual- (e.g., sex, age, insurance type, recent visit with a primary care provider, distance to nearest endoscopy facility, insurance type) and county-level (e.g., percentage of residents with a high school education, without insurance, and unemployed) predictors of being up-to-date. For example, individuals had higher odds of being up-to-date if they were age 73–75 as compared to age 59 [OR: 1.12 (1.09, 1.15)], and if living in counties with more primary care physicians [OR: 1.03 (1.01, 1.06)].ConclusionThis study identified 12 individual- and county-level demographic characteristics related to being up-to-date with screening to inform how interventions may optimally be targeted.