Newhouse Joseph P, McWilliams J Michael, Price Mary, Huang Jie, Fireman Bruce, Hsu John
Harvard Kennedy School, United States; Department of Health Care Policy, Harvard Medical School, United States; Department of Health Policy and Management, Harvard School of Public Health, United States.
J Health Econ. 2013 Dec;32(6):1278-88. doi: 10.1016/j.jhealeco.2013.09.003.
The CMS-HCC risk adjustment system for Medicare Advantage (MA) plans calculates weights, which are effectively relative prices, for beneficiaries with different observable characteristics. To do so it uses the relative amounts spent per beneficiary with those characteristics in Traditional Medicare (TM). For multiple reasons one might expect relative amounts in MA to differ from TM, thereby making some beneficiaries more profitable to treat than others. Much of the difference comes from differences in how TM and MA treat different diseases or diagnoses. Using data on actual medical spending from two MA-HMO plans, we show that the weights calculated from MA costs do indeed differ from those calculated using TM spending. One of the two plans (Plan 1) is more typical of MA-HMO plans in that it contracts with independent community providers, while the other (Plan 2) is vertically integrated with care delivery. We calculate margins, or average revenue/average cost, for Medicare beneficiaries in the two plans who have one of 48 different combinations of medical conditions. The two plans' margins for these 48 conditions are correlated (r=0.39, p<0.01). Both plans have margins that are more positive for persons with conditions that are managed by primary care physicians and where medical management can be effective. Conversely they have lower margins for persons with conditions that tend to be treated by specialists with greater market power than primary care physicians and for acute conditions where little medical management is possible. The two plan's margins among beneficiaries with different observable characteristics vary over a range of 160 and 98 percentage points, respectively, and thus would appear to offer substantial incentive for selection by HCC. Nonetheless, we find no evidence of overrepresentation of beneficiaries in high margin HCC's in either plan. Nor, using the margins from Plan 1, the more typical plan, do we find evidence of overrepresentation of high margin HCC's in Medicare more generally. These results do not permit a conclusion on overall social efficiency, but we note that selection according to margin could be socially efficient. In addition, our findings suggest there are omitted interaction terms in the risk adjustment model that Medicare currently uses.
医疗保险优势(MA)计划的CMS-HCC风险调整系统会为具有不同可观察特征的受益人计算权重,这些权重实际上就是相对价格。为此,该系统使用传统医疗保险(TM)中具有这些特征的每个受益人的相对支出金额。由于多种原因,人们可能预期MA中的相对金额与TM不同,从而使某些受益人在治疗上比其他受益人更有利可图。大部分差异源于TM和MA对不同疾病或诊断的处理方式不同。利用来自两个MA-HMO计划的实际医疗支出数据,我们表明,根据MA成本计算出的权重确实与使用TM支出计算出的权重不同。两个计划中的一个(计划1)更具MA-HMO计划的典型特征,即它与独立的社区提供者签订合同,而另一个(计划2)则在医疗服务提供方面进行了垂直整合。我们计算了两个计划中患有48种不同医疗状况组合之一的医疗保险受益人的利润率,即平均收入/平均成本。这两个计划针对这48种状况的利润率是相关的(r = 0.39,p <0.01)。对于由初级保健医生管理且医疗管理有效的疾病患者,两个计划的利润率都更高。相反,对于那些倾向于由比初级保健医生更具市场影响力的专科医生治疗的疾病患者以及几乎无法进行医疗管理的急性疾病患者,两个计划的利润率较低。两个计划中具有不同可观察特征的受益人之间的利润率分别在160和98个百分点的范围内变化,因此似乎为HCC的选择提供了很大的激励。尽管如此,我们在两个计划中均未发现高利润率HCC中受益人比例过高的证据。同样,使用更具典型性的计划1的利润率,我们也未在更广泛的医疗保险中发现高利润率HCC中受益人比例过高的证据。这些结果无法得出关于整体社会效率的结论,但我们注意到根据利润率进行选择可能具有社会效率。此外,我们的研究结果表明,医疗保险目前使用的风险调整模型中存在遗漏的交互项。