Feinglass J, Martin G J, Sen A
Northwestern University Medical School, Center for Health Services and Policy Research, Chicago, IL 60611.
Health Serv Res. 1991 Jun;26(2):183-205.
Several specifications of a statistical model were used to measure the effect that internal medicine attending physicians had on inpatient charges and length of stay at a large urban teaching hospital. The study was based on a sample of 1,458 patients discharged during 1985-1987 with 12 common principal diagnosis clusters. The relationship between 31 physicians' clinical decisions and hospital charges and length of stay was analyzed controlling for patients' health status, as measured by demographic characteristics, diagnostic group, and ratings for the Severity of Illness Index (SOII). Results indicated that attending physicians were statistically significant predictors of the log of total charges (p = .0030) and the log of length of stay (p less than .0001), and not as significant predictors of untransformed total charges (p = .1255). Equivalent results were obtained when overall SOII ratings were replaced by SOII subscale ratings for the presenting stage of the principal diagnosis on admission. Examination of individual physician regression coefficients revealed that physicians varied within a 40 percent range of generated per patient charges. No significant differences in mortality, early readmissions or residual impairment on discharge were found between the ten highest and ten lowest resource use physicians. The conservatively estimated range of attending physician practice variations observed in this study has serious financial implications for hospitals operating under incentives to minimize operating costs, particularly for teaching hospitals facing reductions in subsidies for graduate medical education.
采用了几种统计模型规格来衡量内科主治医师对一家大型城市教学医院住院费用和住院时间的影响。该研究基于1985 - 1987年期间出院的1458例患者的样本,这些患者分属12个常见的主要诊断类别。分析了31位医师的临床决策与医院费用和住院时间之间的关系,并根据患者的健康状况进行了控制,患者的健康状况通过人口统计学特征、诊断组以及疾病严重程度指数(SOII)评分来衡量。结果表明,主治医师在统计学上是总费用对数(p = .0030)和住院时间对数(p < .0001)的显著预测因素,但不是未转换的总费用的显著预测因素(p = .1255)。当用入院时主要诊断当前阶段的SOII子量表评分替代总体SOII评分时,得到了等效结果。对个别医师回归系数的检查显示,医师之间每位患者产生的费用在40%的范围内有所不同。在资源使用最高的十位医师和最低的十位医师之间,未发现死亡率、早期再入院率或出院时残留损伤方面的显著差异。本研究中观察到的主治医师实践差异的保守估计范围,对在旨在尽量降低运营成本的激励措施下运营的医院,尤其是面临研究生医学教育补贴减少的教学医院,具有严重的财务影响。