2014
DOI: 10.2105/ajph.2014.302079
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Racial Disparities in Cancer Care in the Veterans Affairs Health Care System and the Role of Site of Care

Abstract: Disparities in VA cancer care were observed for 7 of 20 measures and were primarily attributable to within-hospital differences.

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Cited by 61 publications
(46 citation statements)
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“…States differ widely in the care provided for disadvantaged patients; upper Midwest states perform the best, and the southern and south central states perform the worst (128). Most cancer care disparities reported in the Veterans Affairs (VA) system result from differences between VA centers (127). Disparities in hospital quality measures reflect primarily differences between minority-serving and other hospitals (65,133).…”
Section: Principle 6 Differences Between and Within Geographic Areasmentioning
confidence: 99%
“…States differ widely in the care provided for disadvantaged patients; upper Midwest states perform the best, and the southern and south central states perform the worst (128). Most cancer care disparities reported in the Veterans Affairs (VA) system result from differences between VA centers (127). Disparities in hospital quality measures reflect primarily differences between minority-serving and other hospitals (65,133).…”
Section: Principle 6 Differences Between and Within Geographic Areasmentioning
confidence: 99%
“…Underutilization of screening in some racial/ethnic groups contributes to disparities in CRC death rates, [11][12][13][14][15][16] particularly for blacks, who have the highest CRC mortality rates in the US. 17,18 These screening disparities may be related to lack of awareness or acceptance, poor patient-physician communication, economic and structural barriers such as lack of health insurance coverage or usual place of medical care.…”
Section: Introductionmentioning
confidence: 99%
“…co-morbidity, age), clinical need (e.g., tumor characteristics) and, if available, preferences for care, between racial groups. [13,28,29] This approach recognizes the mediating role of an individual’s SES and SES-related factors, as minorities tend to have lower SES profiles than whites, and such differences can impact care received. Therefore, the IOM’s model does not adjust for SES-related factors, as doing so may reduce or eliminate the estimated independent effect of race on care and give a false picture of the care experience of vulnerable patients.…”
Section: Methodsmentioning
confidence: 99%
“…Studies of patients with lung, prostate, and colorectal cancers have shown black race to be negatively associated with use of other antiemetic drugs. [12,13] Whether this finding extends to NK1s and to other cancers is unknown. Assessing the relationship between race and NK1 use among breast cancer patients is particularly important, as this population frequently receives highly emetogenic chemotherapy.…”
Section: Introductionmentioning
confidence: 99%