Wong Herbert, Karaca Zeynal, Gibson Teresa B
1 U.S. Department of Health and Human Services, Agency for Healthcare Research and Quality, Rockville, MD, USA.
2 IBM Watson Health, Ann Arbor, MI, USA.
Inquiry. 2018 Jan-Dec;55:46958018800906. doi: 10.1177/0046958018800906.
Physicians serve as the nexus of treatment decision-making in hospitalized patients; however, little empirical evidence describes the influence of individual physicians on hospital costs. In this study, we examine the extent to which hospital costs vary across physicians and physician characteristics. We used all-payer data from 2 states representing 15 237 physicians and 2.5 million hospital visits. Regression analysis and propensity score matching were used to understand the role of observable provider characteristics on hospital costs controlling for patient demographics, socioeconomic characteristics, clinical risk, and hospital characteristics. We used hierarchical models to estimate the amount of variation attributable to physicians. We found that the average cost of hospital inpatient stays registered to female physicians was consistently lower across all empirical specifications when compared with male physicians. We also found a negative association between physicians' years of experience and the average costs. The average cost of hospital inpatient stays registered to foreign-trained physicians was lower than US-trained physicians. We observed sizable variation in average costs of hospital inpatient stays across medical specialties. In addition, we used hierarchical methods and estimated the amount of remaining variation attributable to physicians and found that it was nonnegligible (intraclass correlation coefficient [ICC]: 0.33 in the full sample). Historically, most physicians have been reimbursed separately from hospitals, and our study shows that physicians play a role in influencing hospital costs. Future policies and practices should acknowledge these important dependencies. This study lends further support for alignment of physician and hospital incentives to control costs and improve outcomes.
医生是住院患者治疗决策的核心;然而,很少有实证证据描述个体医生对医院成本的影响。在本研究中,我们考察了医院成本因医生及医生特征而异的程度。我们使用了来自两个州的全支付方数据,这些数据涵盖了15237名医生和250万次医院就诊。回归分析和倾向得分匹配被用于了解可观察到的医疗服务提供者特征在控制患者人口统计学、社会经济特征、临床风险和医院特征的情况下对医院成本的作用。我们使用分层模型来估计可归因于医生的变异量。我们发现,在所有实证设定中,与男性医生相比,女性医生登记的医院住院平均费用始终较低。我们还发现医生的工作年限与平均成本之间存在负相关。外国培训医生登记的医院住院平均费用低于美国培训医生。我们观察到不同医学专科的医院住院平均成本存在相当大的差异。此外,我们使用分层方法估计了可归因于医生的剩余变异量,发现其不可忽略(全样本的组内相关系数[ICC]:0.33)。从历史上看,大多数医生与医院是分开报销的,而我们的研究表明医生在影响医院成本方面发挥着作用。未来的政策和做法应承认这些重要的依存关系。本研究进一步支持调整医生和医院的激励措施以控制成本并改善治疗结果。