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当医生面对数字时。

When doctors meet numbers.

作者信息

Berwick D M, Fineberg H V, Weinstein M C

出版信息

Am J Med. 1981 Dec;71(6):991-8. doi: 10.1016/0002-9343(81)90325-9.

DOI:10.1016/0002-9343(81)90325-9
PMID:7315859
Abstract

A Statistical Skills Self-Assessment Questionnaire (SAQ) was developed using hypothetical clinical questions to explore respondents' mastery of vocabulary and rules of inference that seem relevant to the use of quantitative information. The SAQ was administered to 281 subjects, including 36 medical students, 45 interns and residents, 49 physicians engaged in research and 151 physicians in full-time practice. All groups of subjects showed frequent lack of consensus on the meaning of terms in common use (e.g., "false-positive rate" and "p values") and unfamiliarity with some important principles in quantitative inference (e.g., the Central Limit Theorem and Regression to the Mean). Subjects often seemed willing to draw conclusions unsupported by available data. Performance on the SAQ was inversely correlated with length of time since graduation from medical school, and practicing physicians tended to err more frequently than the other three groups.

摘要

我们使用假设的临床问题开发了一份统计技能自我评估问卷(SAQ),以探究受访者对与定量信息使用相关的词汇和推理规则的掌握程度。该问卷被发放给281名受试者,包括36名医学生、45名实习医生和住院医师、49名从事研究的医生以及151名全职执业医生。所有受试者群体在常用术语的含义(如“假阳性率”和“p值”)上经常缺乏共识,并且对定量推理中的一些重要原则(如中心极限定理和均值回归)也不熟悉。受试者常常似乎愿意得出没有现有数据支持的结论。SAQ的表现与自医学院毕业以来的时间长度呈负相关,并且执业医生比其他三组更容易出错。

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