Variation in breast cancer care quality in New York and California based on race/ethnicity and Medicaid enrollment.
Variation in breast cancer care quality in New York and California based on race/ethnicity and Medicaid enrollment.
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DOI:
10.1002/cncr.29777
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发表时间:
2016-02-01
期刊:
影响因子:
6.2
通讯作者:
Schrag D
中科院分区:
文献类型:
--
作者:
Hassett MJ;Schymura MJ;Chen K;Boscoe FP;Gesten FC;Schrag D
Racial/ethnic and socioeconomic disparities persist in part because our understanding of the care provided to minority and disadvantaged populations is limited. We evaluated the quality of breast cancer care in two large states to understand the disparities experienced by African-American, Hispanic, Asian/Pacific Islander (API), and Medicaid-enrollees and to prioritize remediation strategies. Statewide cancer registry data for 80,436 NY and 121,233 CA women diagnosed 2004-2009 with stage 0-III breast cancer were used to assess underuse and overuse of surgery, radiation, chemotherapy, and hormone therapy based on 34 quality measures. Concordance values were compared across racial/ethnic and Medicaid-enrollment groups. Multivariable models quantified disparities across groups for each treatment in each state. Overall concordance was 76% for underuse and 87% for overuse measures. The proportions of patients who received care concordant with all relevant measures were 35% in NY and 33% in CA. Compared to whites, African-Americans were less likely to receive recommended surgery, radiation, and hormone therapy; Hispanics and APIs were usually more likely to receive recommended chemotherapy. Across states, the same racial/ethnic groups did not always experience the same disparities. Medicaid enrollment was associated with decreased likelihood of receiving all recommended treatments, except chemotherapy, in both states. Overuse was evident for hormone therapy and axillary surgery, but was not associated with race/ethnicity or Medicaid enrollment. Patient-level measures of quality identify substantial problems with care quality and meaningful disparities. Remediating these problems will require prioritizing low-performing measures and targeting high-risk populations, possibly in different ways for different regions.