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Do the DSM decision trees improve diagnostic ability?
Author(s) -
Morgan Robert D.,
Olson Kenneth R.,
Krueger Randy M.,
Schellenberg Richard P.,
Jackson Thomas T.
Publication year - 2000
Publication title -
journal of clinical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.124
H-Index - 119
eISSN - 1097-4679
pISSN - 0021-9762
DOI - 10.1002/(sici)1097-4679(200001)56:1<73::aid-jclp7>3.0.co;2-i
Subject(s) - medical diagnosis , diagnostic accuracy , psychology , multivariate analysis of variance , decision tree , dsm 5 , variance (accounting) , affect (linguistics) , multivariate analysis , analysis of variance , clinical psychology , statistics , medicine , data mining , computer science , mathematics , pathology , accounting , communication , business
Experiment 1 examined whether the use of the DSM‐III‐R decision trees increased the accuracy of DSM‐III‐R diagnoses. Results indicated that the use of the decision trees interacted with the level of DSM‐III‐R experience to affect diagnostic accuracy. The use of the decision trees resulted in a modest increase in diagnostic accuracy for participants with less DSM‐III‐R experience; for participants with more DSM‐III‐R experience, the use of the decision trees had no significant effect on diagnostic accuracy. Experiment 2 examined whether the use of the DSM‐III‐R decision trees increased the accuracy and confidence and decreased the time of DSM‐III‐R diagnosis across participants with varying levels of DSM‐III‐R experience. The primary analyses consisted of a 3 × 2 × 2‐multivariate analysis of variance (MANOVA) to determine whether the use of the decision trees increased diagnostic accuracy and diagnostic confidence and decreased diagnostic time. Results indicated (1) the experienced participants made more accurate diagnoses than the less‐experienced and no‐experience participants; (2) the decision trees, combined with practice, increased class diagnostic accuracy and decreased diagnostic time; and (3) participants were more confident in their diagnosis when they used the decision trees than when they did not use the decision trees. Supplementary analyses consisted of two one‐way analysis of variance (ANOVA) procedures and indicated that participants' preference for and knowledge of how to use the decision trees did not significantly affect their diagnostic accuracy. © 2000 John Wiley & Sons, Inc J Clin Psychol 56: 73–88, 2000.