Product-line evaluation of graduate medical education program costs.

P P Brooke, R P Hudak, K Finstuen
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Abstract

This article reports the results of an innovative application of traditional multivariate approaches to estimating hospital costs in order to support product-line evaluation of graduate medical education (GME) program costs among the clinical departments and teaching facilities of a nationwide, federal multi-institutional system. Department-level data for 1988, 1989, and 1990 were used to estimate a multiple regression model of total costs per disposition for the specialties of medicine, surgery, obstetrics/gynecology, orthopedics, psychiatry, and pediatrics. Systemwide and facility-specific GME program costs per disposition were estimated for each specialty on the basis of dependent variable scores predicted by the regression model. Measures of case-mix intensity, facility bed size, department staff size, clinical specialty, GME status, teaching intensity, operating efficiency, and regional variation each made statistically significant contributions to the explained variance in total costs per disposition, and yielded an adjusted R2 of .701. Estimates of total costs and GME costs per disposition revealed substantial variation among clinical specialties, both systemwide and within specific facilities. The results of these techniques, their usefulness for enhancing executive ability to evaluate costs of GME programs as product lines, and their implications for public policy regarding hospital payments are discussed.

研究生医学教育项目成本的产品线评估。
本文报告了一项创新应用传统多元方法估算医院成本的结果,以支持全国联邦多机构系统的临床部门和教学设施之间的研究生医学教育(GME)计划成本的产品线评估。1988年、1989年和1990年的科室数据用于估计医学、外科、产科/妇科、骨科、精神病学和儿科等专科的每次处置总成本的多元回归模型。根据回归模型预测的因变量得分,估计每个专业的系统范围和特定设施的GME项目每次处置的成本。病例组合强度、设施床位大小、科室人员规模、临床专科、GME状态、教学强度、操作效率和区域差异对每次处置总成本的解释差异均有统计学显著贡献,调整后的R2为0.701。对每次处置的总成本和GME成本的估计揭示了临床专业之间的巨大差异,无论是在系统范围内还是在特定设施内。本文讨论了这些技术的结果,它们对提高行政能力以评估GME项目作为产品线的成本的有用性,以及它们对有关医院支付的公共政策的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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