Ahn C W, Mezzich J E
Western Psychiatric Institute and Clinic, University of Pittsburgh, Pennsylvania 15213-2593.
Comput Biomed Res. 1989 Oct;22(5):415-23. doi: 10.1016/0010-4809(89)90035-9.
The computer program PROPOV-K allows the computation of an unweighted kappa coefficient for expressing interrater agreement in the general case in which multiple raters (not necessarily fixed in number) formulate a variable number of multiple diagnoses for each subject. PROPOV-K assesses agreement among lists of multiple diagnoses composed of nonordered categories. PROPOV-K calculates a kappa coefficient on the basis of estimating proportion of agreement between two diagnostic formulations as the ratio of the number of agreements between specific categories over the number of different specific categories mentioned in the two diagnostic lists. When multiple raters formulate a variable number of multiple diagnoses for each subject, the use of a kappa coefficient has been limited to researchers since there are no generally available computer programs. The purpose of this paper is to present a FORTRAN computer program allowing the computation of a kappa coefficient for the case mentioned above and to illustrate its use with examples respectively involving multiple psychiatric and multiple physical diagnoses.
计算机程序PROPOV - K可计算无加权kappa系数，用于在一般情况下表达评分者间的一致性，即多个评分者（数量不一定固定）为每个受试者制定数量可变的多个诊断。PROPOV - K评估由无序类别组成的多个诊断列表之间的一致性。PROPOV - K基于估计两个诊断表述之间的一致比例来计算kappa系数，该比例为特定类别之间的一致数量与两个诊断列表中提及的不同特定类别数量之比。当多个评分者为每个受试者制定数量可变的多个诊断时，由于没有普遍可用的计算机程序，kappa系数的使用一直局限于研究人员。本文的目的是展示一个FORTRAN计算机程序，用于计算上述情况下的kappa系数，并分别通过涉及多种精神科诊断和多种身体诊断的示例来说明其用法。
