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. 2013 Jul;103(7):e91-9.
doi: 10.2105/AJPH.2012.301034. Epub 2013 May 16.

Factors explaining racial/ethnic disparities in rates of physician recommendation for colorectal cancer screening

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Factors explaining racial/ethnic disparities in rates of physician recommendation for colorectal cancer screening

Nasar U Ahmed et al. Am J Public Health. 2013 Jul.

Erratum in

  • Am J Public Health. 2013 Sep;103(9):e6

Abstract

Objectives: Physician recommendation plays a crucial role in receiving endoscopic screening for colorectal cancer (CRC). This study explored factors associated with racial/ethnic differences in rates of screening recommendation.

Methods: Data on 5900 adults eligible for endoscopic screening were obtained from the National Health Interview Survey. Odds ratios of receiving an endoscopy recommendation were calculated for selected variables. Planned, sequenced logistic regressions were conducted to examine the extent to which socioeconomic and health care variables account for racial/ethnic disparities in recommendation rates.

Results: Differential rates were observed for CRC screening and screening recommendations among racial/ethnic groups. Compared with Whites, Hispanics were 34% less likely (P < .01) and Blacks were 26% less likely (P < .05) to receive this recommendation. The main predictors that emerged in sequenced analysis were education for Hispanics and Blacks and income for Blacks. After accounting for the effects of usual source of care, insurance coverage, and education, the disparity reduced and became statistically insignificant.

Conclusions: Socioeconomic status and access to health care may explain major racial/ethnic disparities in CRC screening recommendation rates.

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Figures

FIGURE 1—
FIGURE 1—
Disparity in likelihood of receiving recommendation for endoscopic screening for colorectal cancer among US adults aged 50 years and older: National Health Interview Survey, 2000. Note. educ. = education; SOC = source of care. Disparity is defined as the percentage point difference in screening recommendation compared with Whites. Multivariate results adjusted for usual source of care, insurance, income, age, and education. All models included age, gender, marital status, citizenship, occupation, number of doctor visits in past 12 months, community size, and region. *P <.05; **P = <.01.

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