1. Dimensional Assessment of Emotional Disorder Outcomes in Transdiagnostic Treatment: A Clinical Case Study
- Author
-
Todd J. Farchione, Katherine Kennedy, Timothy A. Brown, Amantia A. Ametaj, David H. Barlow, Anthony J. Rosellini, Jeannette K. Correa, Hannah T. Boettcher, and Clair Cassiello-Robbins
- Subjects
050103 clinical psychology ,05 social sciences ,Emotional disorder ,030227 psychiatry ,03 medical and health sciences ,Clinical Psychology ,0302 clinical medicine ,medicine ,Anxiety ,0501 psychology and cognitive sciences ,Clinical case ,medicine.symptom ,Psychology ,Categorical variable ,Clinical psychology - Abstract
Current classification systems for mental disorders emphasize categorical assessment. In the domain of emotional disorders, this is inconsistent with a growing consensus that anxiety, depressive, and related disorders are best conceptualized as variations on shared underlying processes, chiefly heightened negative affect, and aversion to unwanted emotional experiences. Dimensional assessment of transdiagnostic emotional disorder constructs offers advantages for clinical and research applications, including increased parsimony and improved validity, yet there are drawbacks to many dimensional assessment systems for emotional disorders. The case presented in this paper illustrates the potential clinical utility of a new self-report instrument—the Multidimensional Emotional Disorders Inventory (MEDI)—which assesses nine dimensions characteristic of emotional disorders. MEDI scores for a highly comorbid patient are examined over the course of transdiagnostic emotion-focused cognitive-behavioral treatment. At baseline, midtreatment, and posttreatment, the MEDI offered information above and beyond DSM categorical assessment, including detection of subclinical symptoms and symptom change, while remaining parsimonious. Implications for possible use as a treatment planning instrument, integration with categorical assessment, and future research directions are discussed.
- Published
- 2020