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一种评估疾病严重程度和药物不良反应的量表。应用于药物获益与风险评估。

A scale for assessing the severity of diseases and adverse drug reactions. Application to drug benefit and risk.

作者信息

Tallarida R J, Murray R B, Eiben C

出版信息

Clin Pharmacol Ther. 1979 Apr;25(4):381-90. doi: 10.1002/cpt1979254381.

Abstract

Physicians were interviewed to assess their willingness to risk adverse drug reactions among patients. These untoward reactions were ranked according to severity and weighted against the primary illness being treated. A specially designed questionnaire in the form of a matrix was used. Severity was divided into seven classes denoted by progressively increasing numerical scores, W1 to W7, whose values could be calculated from analysis of the completed questionnaires. The questionnaires presented several cases, in each of which an illness of specified severity was to be treated with a drug whose untoward reactions differ in severity from that of the primary illness. Each case involved a different permutation of the severities. Analysis of the completed questionnaires yielded the mean values of the scores which were found to range from W1 = 1.00 (the mildest case) to W7 = 817 (the most serious case). It is our opinion that this type of scale is preferable to nonnumerical descriptions of severity such as "mild" or "serious," since, when combined with data on frequency of occurrence, a numerical scale permits a determination of expectation of both benefit and risk.

摘要

研究人员对医生进行了访谈,以评估他们在患者中承担药物不良反应风险的意愿。这些不良反应根据严重程度进行排名,并与正在治疗的原发性疾病进行权衡。使用了一种特别设计的矩阵形式的问卷。严重程度分为七个等级,用逐渐增加的数值分数表示,从W1到W7,其值可以通过对完成的问卷进行分析来计算。问卷呈现了几个病例,每个病例中都要用一种药物治疗特定严重程度的疾病,该药物的不良反应严重程度与原发性疾病不同。每个病例涉及不同的严重程度排列组合。对完成的问卷进行分析得出分数的平均值,发现其范围从W1 = 1.00(最轻微的病例)到W7 = 817(最严重的病例)。我们认为,这种类型的量表比诸如“轻度”或“严重”等非数值性的严重程度描述更可取,因为当与发生频率数据相结合时,数值量表可以确定获益和风险的预期。

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