Department of Health Systems, Management and Policy, Colorado School of Public Health, Aurora, CO.
Health Serv Res. 2014 Aug;49(4):1306-28. doi: 10.1111/1475-6773.12169. Epub 2014 Mar 13.
The Patient Protection and Affordable Care Act (ACA) increases Medicaid physician fees for preventive care up to Medicare rates for 2013 and 2014. The purpose of this paper was to model the relationship between Medicaid preventive care payment rates and the use of U.S. Preventive Services Task Force (USPSTF)-recommended preventive care use among Medicaid enrollees.
DATA SOURCES/STUDY SESSION: We used data from the 2003 and 2008 Medical Expenditure Panel Survey (MEPS), a national probability sample of the U.S. civilian, noninstitutionalized population, linked to Kaiser state Medicaid benefits data, including the state Medicaid-to-Medicare physician fee ratio in 2003 and 2008.
Probit models were used to estimate the probability that eligible individuals received one of five USPSF-recommended preventive services. A difference-in-difference model was used to separate out the effect of changes in the Medicaid payment rate and other factors.
DATA COLLECTION/EXTRACTION METHODS: Data were linked using state identifiers.
Although Medicaid enrollees had a lower rate of use of the five preventive services in univariate analysis, neither Medicaid enrollment nor changes in Medicaid payment rates had statistically significant effects on meeting screening recommendations for the five screenings. The results were robust to a number of different sensitivity tests. Individual and state characteristics were significant.
Our results suggest that although temporary changes in primary care provider payments for preventive services for Medicaid enrollees may have other desirable effects, they are unlikely to substantially increase the use of these selected USPSTF-recommended preventive care services among Medicaid enrollees.
《患者保护与平价医疗法案》(ACA)将 2013 年和 2014 年 Medicaid 医生的预防保健费用提高到 Medicare 费率。本文旨在建立 Medicaid 预防保健支付率与 Medicaid 受保人使用美国预防服务工作组(USPSTF)推荐的预防保健之间的关系模型。
数据来源/研究时段:我们使用了来自 2003 年和 2008 年医疗支出面板调查(MEPS)的数据,这是美国平民非机构化人群的全国概率样本,与 Kaiser 州 Medicaid 福利数据相关联,包括 2003 年和 2008 年的州 Medicaid 与 Medicare 医生费用比率。
使用 Probit 模型估计符合条件的个体接受五种 USPSTF 推荐的预防服务之一的概率。差异模型用于分离 Medicaid 支付率变化和其他因素的影响。
数据收集/提取方法:使用州标识符进行数据链接。
尽管 Medicaid 受保人在单变量分析中使用这五种预防服务的比率较低,但 Medicaid 参保和 Medicaid 支付率变化对符合五种筛查建议没有统计学上的显著影响。结果在多种不同的敏感性测试中是稳健的。个人和州的特征是显著的。
我们的结果表明,尽管 Medicaid 受保人初级保健提供者的预防保健支付率的临时变化可能会产生其他理想的效果,但它们不太可能大幅增加 Medicaid 受保人对这些选定的 USPSTF 推荐的预防保健服务的使用。