MacPherson D W, McQueen R
Department of Pathology, McMaster University, Hamilton, Ontario, Canada.
J Clin Microbiol. 1993 Feb;31(2):198-202. doi: 10.1128/jcm.31.2.198-202.1993.
Six diagnostic methods (Giemsa staining, Ziehl-Neelsen staining, auramine-rhodamine staining, Sheather's sugar flotation, an indirect immunofluorescence procedure, and a modified concentration-sugar flotation method) for the detection of Cryptosporidium spp. in stool specimens were compared on the following attributes: diagnostic yield, cost to perform each test, ease of handling, and ability to process large numbers of specimens for screening purposes by batching. A rank ordering from least desirable to most desirable was then established for each method by using the study attributes. The process of decision analysis with respect to the laboratory diagnosis of cryptosporidiosis is discussed through the application of multiattribute utility theory to the rank ordering of the study criteria. Within a specific health care setting, a diagnostic facility will be able to calculate its own utility scores for our study attributes. Multiattribute evaluation and analysis are potentially powerful tools in the allocation of resources in the laboratory.
对六种用于检测粪便标本中隐孢子虫属的诊断方法(吉姆萨染色、齐-尼染色、金胺-罗丹明染色、谢弗氏糖浮选法、间接免疫荧光法以及改良浓缩-糖浮选法)进行了以下特性比较:诊断阳性率、每项检测的执行成本、操作简便性以及通过批量处理大量标本进行筛查的能力。然后,利用这些研究特性为每种方法建立了从最不理想到最理想的排序。通过将多属性效用理论应用于研究标准的排序,讨论了隐孢子虫病实验室诊断的决策分析过程。在特定的医疗环境中,诊断机构能够为我们的研究特性计算出自身的效用分数。多属性评估和分析在实验室资源分配方面可能是强大的工具。