Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
J Health Serv Res Policy. 2011 Oct;16(4):203-10. doi: 10.1258/jhsrp.2011.010028. Epub 2011 Sep 27.
Health funders face the challenge of determining the appropriate level of surgeon fees in fee-for-service schemes. A resource-based relative value scale (RBRVS) attempts to identify the fees that would exist in a competitive market. Private insurance providers in New Zealand do not use a RBRVS but rather rely on a market. We explore the extent to which private surgeon fees in New Zealand are consistent with fees that would be generated by a RBRVS.
Data on 155,290 surgical procedures from 2004-06 were provided by New Zealand's largest private health insurer. 314 procedure codes were matched to the Australian Ministry of Health and Ageing's RBRVS. A random effects model determined predicted surgeon reimbursements based on the RBRVS, the location and the year. Procedure volume and specialty were explored as potential sources of deviations.
The RBRVS, location and year explain 79% of the variation in surgeon fees. After accounting for the RBRVS, location and year, no statistical differences were found between five out of the seven specialties, but higher volume procedures were associated with lower fees. There was some evidence that the model explained less variation in lower volume procedures.
Surgical fees were generally consistent with those predicted by the RBRVS. However, the fees for high volume procedures were relatively lower than predicted while the fees for low volume procedures appeared more variable. The findings are consistent with the hypothesis that market forces lowered prices for procedures with higher volumes. This has implications for how health funders might determine private surgical fees, especially in mixed public-private systems.
医保机构在按服务项目付费的方案中面临着确定外科医生薪酬适当水平的挑战。资源为基础的相对价值量表(RBRVS)试图确定在竞争市场中存在的费用。新西兰的私人保险公司不使用 RBRVS,而是依赖市场。我们探讨了新西兰私人外科医生的费用在多大程度上与 RBRVS 产生的费用一致。
新西兰最大的私人健康保险公司提供了 2004-06 年的 155290 例手术数据。314 个手术代码与澳大利亚卫生部和老龄部的 RBRVS 相匹配。随机效应模型根据 RBRVS、地点和年份确定了基于预测外科医生报销的模型。探讨了手术量和专业作为偏离的潜在来源。
RBRVS、地点和年份解释了外科医生费用变化的 79%。在考虑了 RBRVS、地点和年份后,七个专业中的五个没有发现统计学差异,但较高的手术量与较低的费用相关。有证据表明,该模型对较低手术量的变化解释较少。
外科医生的费用总体上与 RBRVS 预测的费用一致。然而,高手术量的费用相对低于预测,而低手术量的费用似乎更具波动性。这一发现与市场力量降低高手术量的费用的假设是一致的。这对医保机构如何确定私人外科医生的费用有影响,特别是在公私混合系统中。