Neumann B R
Public Health Rep. 1980 May-Jun;95(3):232-42.
The development of valid classification criteria for U.S. hospitals. A number of bills recently introduced in the U.S. Congress call for the linkage of classification criteria to cost limits for hospitals. Such proposals have not indicated how the classification criteria should be validated or tested.A research project was therefore undertaken to determine whether 87 large community hospitals could be classified into interpretable and reproducible homogenous groups. By means of an automatic interaction detector (AID), a set of unique classification criteria were identified. These included residency and internship education programs, medical school affiliation, renal dialysis, and organ bank facilities. Application of the criteria to 1970 and 1971 data for the 87 hospitals resulted in five reproducible and stable groups of hospitals. The criteria were validated by several tests involving different types of cost comparisons and ratios.The research results indicate that an AID-based classification structure is a feasible model for grouping or classifying large hospitals for comparative purposes. Only a small number of variables are necessary to classify large hospitals, and the criteria do not need to be overly complex. Many of the variables traditionally used may be omitted.
美国医院有效分类标准的制定。美国国会最近提出的一些法案要求将分类标准与医院成本限制挂钩。此类提议并未说明应如何验证或测试分类标准。因此开展了一项研究项目，以确定87家大型社区医院是否可被分类为可解释且可重复的同质组。通过自动交互探测器（AID），确定了一套独特的分类标准。这些标准包括住院医师和实习医师教育项目、医学院附属关系、肾透析以及器官库设施。将这些标准应用于87家医院1970年和1971年的数据，得出了五组可重复且稳定的医院类别。通过涉及不同类型成本比较和比率的多项测试对这些标准进行了验证。研究结果表明，基于AID的分类结构是用于对大型医院进行分组或分类以作比较的可行模型。对大型医院进行分类仅需少量变量，且标准无需过于复杂。许多传统上使用的变量可能会被省略。
