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Communicating accuracy of tests to general practitioners: a controlled study

机译:与全科医生交流测试的准确性:对照研究

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Objective To assess the extent to which different forms of summarising diagnostic test information influence general practitioners' ability to estimate disease probabilities. Design Controlled questionnaire study. Setting Three Swiss conferences in continuous medical education. Participants 263 general practitioners. Intervention 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). Main outcome measures Doctors' knowledge and application of terms of test accuracy and estimation of disease probability in the clinical vignette. Results 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). Conclusion 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.
机译:目的评估诊断诊断信息汇总的不同形式在多大程度上影响全科医生估计疾病概率的能力。设计对照问卷研究。在持续医学教育领域举办三场瑞士会议。参加者263名全科医生。干预问卷,其中包含关于测试准确性和临床插图的多项选择问题,并以三种不同方式描述诊断测试的结果(仅测试结果,测试结果加上测试敏感性和特异性,测试结果加上以阳性方式表示的阳性似然比)语言)。主要结局指标医师对临床小插图中测试准确性和疾病概率估计方面的知识和应用。结果分别有76%和61%的医生选择了正确的灵敏度和预测值定义,但只有22%的人为阳性筛查测试的后测试可能性选择了正确答案在临床小插图医生中给出了测试结果仅高估了其诊断价值(中位似然比(aLR)= 9.0,而文献中报道为2.54)。提供扫描的敏感性和特异性可以减少高估(中位数aLR = 6.0),但程度要比简单地表达似然比(中位数aLR = 3.0)小。结论大多数全科医生认识到敏感性和阳性预测值的正确定义,但没有正确应用它们。用简单的非技术语言传达测试准确性信息可以提高他们准确估计疾病概率的能力。

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