Does exposure to simulated patient cases improve accuracy of clinicians' predictive value estimates of diagnostic test results? A within-subjects experiment at St Michael's Hospital, Toronto, Canada

被引:6
|
作者
Armstrong, Bonnie [1 ]
Spaniol, Julia [1 ]
Persaud, Nav [2 ,3 ]
机构
[1] Ryerson Univ, Dept Psychol, Toronto, ON, Canada
[2] St Michaels Hosp, Li Ka Shing Knowledge Inst, Dept Family & Community Med, Toronto, ON, Canada
[3] Univ Toronto, Dept Family & Community Med, Toronto, ON, Canada
来源
BMJ OPEN | 2018年 / 8卷 / 02期
关键词
NATURAL FREQUENCIES; PROBABILITIES; RISK; OVERTREATMENT; CANCER;
D O I
10.1136/bmjopen-2017-019241
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective Clinicians often overestimate the probability of a disease given a positive test result (positive predictive value; PPV) and the probability of no disease given a negative test result (negative predictive value; NPV). The purpose of this study was to investigate whether experiencing simulated patient cases (ie, an 'experience format') would promote more accurate PPV and NPV estimates compared with a numerical format. Design Participants were presented with information about three diagnostic tests for the same fictitious disease and were asked to estimate the PPV and NPV of each test. Tests varied with respect to sensitivity and specificity. Information about each test was presented once in the numerical format and once in the experience format. The study used a 2 (format: numerical vs experience) x 3 (diagnostic test: gold standard vs low sensitivity vs low specificity) within-subjects design. Setting The study was completed online, via Qualtrics (Provo, Utah, USA). Participants 50 physicians (12 clinicians and 38 residents) from the Department of Family and Community Medicine at St Michael's Hospital in Toronto, Canada, completed the study. All participants had completed at least 1 year of residency. Results Estimation accuracy was quantified by the mean absolute error (MAE; absolute difference between estimate and true predictive value). PPV estimation errors were larger in the numerical format (MAE=32.6%, 95% CI 26.8% to 38.4%) compared with the experience format (MAE=15.9%, 95% CI 11.8% to 20.0%, d=0.697, P<0.001). Likewise, NPV estimation errors were larger in the numerical format (MAE= 24.4%, 95% CI 14.5% to 34.3%) than in the experience format (MAE= 11.0%, 95% CI 6.5% to 15.5%, d=0.303, P=0.015). Conclusions Exposure to simulated patient cases promotes accurate estimation of predictive values in clinicians. This finding carries implications for diagnostic training and practice.
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页数:6
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