Ko Joan S, Chalfin Heather, Trock Bruce J, Feng Zhaoyong, Humphreys Elizabeth, Park Sung-Woo, Carter H Ballentine, Frick Kevin D, Han Misop
Department of Urology, James Buchanan Brady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, MD.
Department of Urology, James Buchanan Brady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, MD.
Urology. 2015 May;85(5):1045-1051. doi: 10.1016/j.urology.2014.11.054. Epub 2015 Mar 4.
To analyze variability in urologists' Medicare utilization and payment and estimate potential cost savings of standardized service utilization using information from the recently released Medicare Provider Utilization and Payment Data: Physician and Other Supplier Public Use File (PUF) and to highlight potential limitations of PUF analysis.
The Centers for Medicare and Medicaid Services just released the PUF with payment or utilization data for 8792 urologists participating in Medicare in 2012. Linear regression correlated total number of patient visits with total Medicare payments to each urologist. Physicians were categorized into quartiles by actual payment in excess of predicted payment modeled by this regression. Utilization variability was calculated as a relative risk for the 40 most highly reimbursed services per patient visit, comparing the highest vs lowest quartile of urologists. Potential cost savings for those 40 services were calculated if services per visit >50% above the median were eliminated.
Medicare reimbursement was strongly predicted by the number of patient visits (R(2) = 0.70). Utilization variability of services performed per visit had a relative risk up to 3.52. The potential cost savings was $125,199,007 (9.0% of total 2012 Medicare urologist reimbursements).
Overall Medicare payment to urologists was strongly predicted by number of patient visits. Substantial variability existed in utilization of services per patient visit. Standardized utilization may result in significant Medicare cost savings. However, future analyses accounting for variable patient characteristics are needed to accurately determine appropriate service utilization.
利用最近发布的医疗保险提供者利用和支付数据:医生及其他供应商公共使用文件(PUF)中的信息,分析泌尿科医生医疗保险利用情况和支付的差异,并估计标准化服务利用可能节省的成本,同时强调PUF分析的潜在局限性。
医疗保险和医疗补助服务中心刚刚发布了PUF,其中包含2012年参与医疗保险的8792名泌尿科医生的支付或利用数据。线性回归将每位泌尿科医生的患者就诊总数与医疗保险总支付额相关联。根据实际支付超过该回归模型预测支付的情况,将医生分为四分位数。计算每位患者就诊时40项报销最高的服务的利用差异,比较泌尿科医生最高与最低四分位数。如果每次就诊服务量超过中位数50%以上的服务被消除,则计算这40项服务的潜在成本节省。
患者就诊次数能强烈预测医疗保险报销情况(R² = 0.70)。每次就诊所提供服务的利用差异相对风险高达3.52。潜在成本节省为125,199,007美元(占2012年医疗保险泌尿科医生报销总额的9.0%)。
患者就诊次数能强烈预测向泌尿科医生的总体医疗保险支付情况。每位患者就诊时服务利用存在显著差异。标准化利用可能会大幅节省医疗保险成本。然而,未来需要考虑患者特征差异的分析,以准确确定适当的服务利用情况。