医疗保险医师支付:变化对农村医师的影响。

Q2 Medicine Rural policy brief Pub Date : 2006-09-01
Keith J Mueller, A Clinton MacKinney, Timothy D McBride
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引用次数: 0

摘要

与城市医生相比,医疗保险支付对农村医生的影响不成比例。例如,51%的农村医生,而44%的城市医生,至少有38%的报酬来自医疗保险。因此,医疗保险医生支付系统对农村有重大意义。在本政策简报中,我们介绍了2003年医疗保险处方药、改进和现代化法案(MMA)对农村地区医生支付率的影响。具体来说,我们研究了在地理实践成本指数(GPCI)中为工作费用创建1.00下限的影响。我们还展示了医疗保险激励支付(MIP)对在短缺地区提供服务的影响,以及在医生短缺地区执业的奖金。我们的主要发现如下:(1)工作费用GPCI的增加占农村支付地区两年来医生总支付增加的相当大的百分比。(2)在89个医疗保险支付地区中,除6个地区外,其余地区的医疗保险支付总额增幅均以基本支付转换系数(CF)增幅居多;在这6个地区,GPCI调整是主导因素。(3)奖金支付是针对特定领域的医生增加支付的一种更直接的手段,而不是在支付公式的一个部分中普遍增加。
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Medicare physician payments: impacts of changes on rural physicians.

Medicare payment disproportionately impacts rural physicians compared to urban. For example, 51% of rural physicians, compared to 44% of urban physicians, receive at least 38% of their payments from Medicare.1 Thus, the Medicare physician payment system is of significant rural interest. In this policy brief, we present the effects of the Medicare Prescription Drug, Improvement, and Modernization Act (MMA) of 2003 on physician payment rates in rural areas. Specifically, we examine the impact of creating a floor of 1.00 in the geographic practice cost index (GPCI) for work expense. We also show the effects of the Medicare incentive payment (MIP) for providing services in shortage areas and of the bonus for practicing in a physician scarcity area. Our principal findings are the following: (1) Increases to the GPCI for work expense accounted for a substantial percentage of the two-year increases in total payment to physicians in rural payment areas. (2) Increases in the conversion factor (CF) (base payment) accounted for most of the increases in total payment in all but 6 of the 89 Medicare payment localities; in those 6 areas, the dominant factor was GPCI adjustment. (3) Bonus payments are a more direct means of targeting increased payments to physicians in specific areas than is a general increase in one part of the payment formula.

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来源期刊
Rural policy brief
Rural policy brief Medicine-Medicine (all)
CiteScore
1.20
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0.00%
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