Explaining computation of predictive values: 2 × 2 table versus frequency tree. A randomized controlled trial [ISRCTN74278823]

<p>Abstract</p> <p>Background</p> <p>Involving patients in decision making on diagnostic procedures requires a basic level of statistical thinking. However, innumeracy is prevalent even among physicians. In medical teaching the 2 × 2 table is widely used as a visual hel...

Full description

Bibliographic Details
Main Authors: Berger Jürgen, Balgenorth Andrea, Steckelberg Anke, Mühlhauser Ingrid
Format: Article
Language:English
Published: BMC 2004-08-01
Series:BMC Medical Education
Online Access:http://www.biomedcentral.com/1472-6920/4/13
Description
Summary:<p>Abstract</p> <p>Background</p> <p>Involving patients in decision making on diagnostic procedures requires a basic level of statistical thinking. However, innumeracy is prevalent even among physicians. In medical teaching the 2 × 2 table is widely used as a visual help for computations whereas in psychology the frequency tree is favoured. We assumed that the 2 × 2 table is more suitable to support computations of predictive values.</p> <p>Methods</p> <p>184 students without prior statistical training were randomised either to a step-by-step self-learning tutorial using the 2 × 2 table (n = 94) or the frequency tree (n = 90). During the training session students were instructed by two sample tasks and a total of five positive predictive values had to be computed. During a follow-up session 4 weeks later participants had to compute 5 different tasks of comparable degree of difficulty without having the tutorial instructions at their disposal. The primary outcome was the correct solution of the tasks.</p> <p>Results</p> <p>There were no statistically significant differences between the two groups. About 58% achieved correct solutions in 4–5 tasks following the training session and 26% in the follow-up examination.</p> <p>Conclusions</p> <p>These findings do not support the hypothesis that the 2 × 2 table is more valuable to facilitate the calculation of positive predictive values than the frequency tree.</p>
ISSN:1472-6920