Steurer Johann, Fischer Joachim E, Bachmann Lucas M, Koller Michael, ter Riet Gerben
Horten-Zentrum für praxisorientierte Forschung und Wissenstransfer, Universitätsspital Zürich, Bolleystrasse 40, Postfach Nord, CH-8091 Zurich, Switzerland.
BMJ. 2002 Apr 6;324(7341):824-6. doi: 10.1136/bmj.324.7341.824.
To assess the extent to which different forms of summarising diagnostic test information influence general practitioners' ability to estimate disease probabilities.
Controlled questionnaire study.
Three Swiss conferences in continuous medical education.
263 general practitioners.
Questionnaire with multiple choice questions about terms of test accuracy and a clinical vignette with the results of a diagnostic test described in three different ways (test result only, test result plus test sensitivity and specificity, test result plus the positive likelihood ratio presented in plain language).
Doctors' knowledge and application of terms of test accuracy and estimation of disease probability in the clinical vignette.
The correct definitions for sensitivity and predictive value were chosen by 76% and 61% of the doctors respectively, but only 22% chose the correct answer for the post-test probability of a positive screening test. In the clinical vignette doctors given the test result only overestimated its diagnostic value (median attributed likelihood ratio (aLR)=9.0, against 2.54 reported in the literature). Providing the scan's sensitivity and specificity reduced the overestimation (median aLR=6.0) but to a lesser extent than simple wording of the likelihood ratio (median aLR=3.0).
Most general practitioners recognised the correct definitions for sensitivity and positive predictive value but did not apply them correctly. Conveying test accuracy information in simple, non-technical language improved their ability to estimate disease probabilities accurately.
评估不同形式的诊断测试信息总结方式对全科医生估计疾病概率能力的影响程度。
对照问卷调查研究。
瑞士三场连续医学教育会议。
263名全科医生。
一份包含关于测试准确性术语的多项选择题的问卷,以及一个临床案例,其中诊断测试结果以三种不同方式呈现(仅测试结果、测试结果加测试敏感度和特异度、测试结果加用通俗易懂语言表述的阳性似然比)。
医生对测试准确性术语的知识掌握及应用情况,以及在临床案例中对疾病概率的估计。
分别有76%和61%的医生正确选择了敏感度和预测值的定义,但只有22%的医生正确回答了阳性筛查测试的验后概率。在临床案例中,仅被告知测试结果的医生高估了其诊断价值(中位归因似然比(aLR)=9.0,而文献报道为2.54)。提供扫描的敏感度和特异度降低了高估程度(中位aLR=6.0),但程度小于似然比的简单表述方式(中位aLR=3.0)。
大多数全科医生认可敏感度和阳性预测值的正确定义,但应用不正确。用简单的非专业语言传达测试准确性信息提高了他们准确估计疾病概率的能力。