Nadathur Shyamala G
Monash University, Clayton, VIC 3168, Australia.
Aust Health Rev. 2011 Nov;35(4):507-11. doi: 10.1071/AH10933.
It is important to factor-in the characteristics of patients that may affect treatment, outcome and resource when making clinical and administrative decisions, plans or policies. For some two and half decades there have been efforts to construct and refine instruments that endeavour to capture the concept of comorbidity. This paper focuses on such comorbidity measures that are derived from diagnoses information recorded in administrative datasets. The pros and cons of the popular weighted Charlson and Charlson-based indexes are discussed. Means to improve the comorbidity indexes are considered including the very concept and definition of comorbidity.
在做出临床和管理决策、计划或政策时,考虑可能影响治疗、结果和资源的患者特征非常重要。在大约二十五年的时间里,人们一直在努力构建和完善旨在捕捉共病概念的工具。本文重点关注从行政数据集中记录的诊断信息得出的此类共病测量方法。讨论了常用的加权查尔森指数和基于查尔森指数的优缺点。还考虑了改进共病指数的方法,包括共病的概念和定义本身。