Shayla N. M. Durfey (
Amy J. H. Kind is an associate professor in the Division of Geriatrics and director of the Health Services and Care Research Program, Department of Medicine, in the School of Medicine and Public Health, University of Wisconsin-Madison. She is also associate director-clinical at the Geriatrics Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, in Madison.
Health Aff (Millwood). 2018 Jul;37(7):1065-1072. doi: 10.1377/hlthaff.2017.1509.
Sociodemographically disadvantaged patients have worse outcomes on some quality measures that inform Medicare Advantage plan ratings. Performance measurement that does not adjust for sociodemographic factors may penalize plans that disproportionately serve disadvantaged populations. We assessed the impact of adjusting for socioeconomic and demographic factors (sex, race/ethnicity, dual eligibility, disability, rurality, and neighborhood disadvantage) on Medicare Advantage plan rankings for blood pressure, diabetes, and cholesterol control. After adjustment, 20.3 percent, 19.5 percent, and 11.4 percent of Medicare Advantage plans improved by one or more quintiles in rank on the diabetes, cholesterol, and blood pressure measures, respectively. Plans that improved in ranking after adjustment enrolled higher proportions of disadvantaged enrollees. Adjusting quality measures for socioeconomic factors is important for equitable payment and quality reporting. Our study suggests that plans serving disadvantaged populations would have improved relative rankings for three important outcome measures if socioeconomic factors were included in risk-adjustment models.
在一些反映医疗保险优势计划评级的质量指标上,社会人口统计学处于不利地位的患者的结果更差。不调整社会人口统计学因素的绩效衡量标准可能会惩罚那些服务于弱势群体比例过高的计划。我们评估了调整社会经济和人口统计学因素(性别、种族/民族、双重资格、残疾、农村地区和社区劣势)对医疗保险优势计划在血压、糖尿病和胆固醇控制方面排名的影响。调整后,糖尿病、胆固醇和血压测量的医疗保险优势计划中,分别有 20.3%、19.5%和 11.4%的计划排名上升了一个或多个五分位。调整后排名上升的计划招收了更多处于不利地位的参保人。调整社会经济因素的质量衡量标准对于公平支付和质量报告很重要。我们的研究表明,如果在风险调整模型中纳入社会经济因素,服务于弱势群体的计划在三项重要结果衡量标准上的相对排名将会提高。