Date of Submission
Doctor of Psychology (PsyD)
Robert A. DiTomasso, Ph.D., ABPP
Robert A. DiTomasso, Ph.D., ABPP, Chairperson
Barbara Golden, Psy.D., ABPP
Robert J. Corba, D.O.
The purpose of this study was to extend previous literature of the BDI-FastScreen and demonstrate a more empirical clinical utility within a sample of patients with pain. This study utilized existing data found in a large, multiphysician, multilocation pain management practice. The sample consisted of 328 male and female patients with pain. Various psychometric analyses were performed. Results pertaining to the internal consistency of the BDI-FastScreen determined the items most highly correlated were pessimism and loss of pleasure. A factor analysis revealed 49.18 % of the variance of the factor structure of the BDI-FastScreen was comprised of one factor. Gender was investigated as a moderator of depression and pain and although gender was not demonstrated to moderate the pain / depression relationship, there was a clear relationship between pain and depression. There was a significant correlation between the physicians’ rated depression score and patients’ corresponding, self-reported depression scores on the BDI-FastScreen. Researchers compared patients’ self-rated depression scores and depression descriptors embedded within another measure. A significant correlation between the BDI-FastScreen scores and the items on a derivative of the SFMPQ was found. All the correlations were significant, confirming the supposition that breaking down the seven items into descriptors and embedding the descriptors into a different measure adequately assesses for depression. Results of this project demonstrate the BDI-FastScreen can be condensed to one word descriptors and adequately assess for depression in a population with chronic pain. Instead of utilizing the data from two distinct measures, the adapted patient encounter form, a derivative of the SF-MPQ and BDI-FastScreen, both clinical disorders can be expeditiously and adequately assessed. This study will provide physicians and clinical health psychologists with diverse insights and the ability to utilize multiple depression measures to provide insightful treatments for their patients.
Carosella, Robin L., "Factor Structure and Psychometric Characteristics of the Beck Depression Inventory-Fast Screen in a Sample of Patients with Pain" (2010). PCOM Psychology Dissertations. 188.