OBJECTIVES: Our objective was to examine the Beck Depression Inventory-II (BDI-II) in a traumatic brain injury (TBI) sample using a receiver operating characteristic (ROC) curve to determine how well the BDI-II identifies depression. An ROC curve allows for analysis of the sensitivity and specificity of a diagnostic test using various cutoff points to determine the number of true positives, true negatives, false positives, and false negatives. DESIGN: This was a secondary analysis of data gathered from an observational study. We examined BDI-II scores in a sample of 52 veterans with remote histories of TBI. SETTING: This study was completed at a Veterans Affairs (VA) Medical Center. PARTICIPANTS: Participants were veterans eligible to receive VA health care services. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Outcome measures included the BDI-II and the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-IV). RESULTS: We generated an ROC curve to determine how well the BDI-II identifies depression using the SCID-IV as the criterion standard for diagnosing depression, defined here as a diagnosis of major depressive disorder. Results indicated a cutoff score of at least 19 if one has a mild TBI or at least 35 if one has a moderate or severe TBI. These scores maximize sensitivity (87%) and specificity (79%). CONCLUSIONS: Clinicians working with persons with TBI can use the BDI-II to determine whether depressive symptoms warrant further assessment.
OBJECTIVES: Our objective was to examine the Beck Depression Inventory-II (BDI-II) in a traumatic brain injury (TBI) sample using a receiver operating characteristic (ROC) curve to determine how well the BDI-II identifies depression. An ROC curve allows for analysis of the sensitivity and specificity of a diagnostic test using various cutoff points to determine the number of true positives, true negatives, false positives, and false negatives. DESIGN: This was a secondary analysis of data gathered from an observational study. We examined BDI-II scores in a sample of 52 veterans with remote histories of TBI. SETTING: This study was completed at a Veterans Affairs (VA) Medical Center. PARTICIPANTS: Participants were veterans eligible to receive VA health care services. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Outcome measures included the BDI-II and the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-IV). RESULTS: We generated an ROC curve to determine how well the BDI-II identifies depression using the SCID-IV as the criterion standard for diagnosing depression, defined here as a diagnosis of major depressive disorder. Results indicated a cutoff score of at least 19 if one has a mild TBI or at least 35 if one has a moderate or severe TBI. These scores maximize sensitivity (87%) and specificity (79%). CONCLUSIONS: Clinicians working with persons with TBI can use the BDI-II to determine whether depressive symptoms warrant further assessment.
Authors: Christine L Mac Donald; Octavian R Adam; Ann M Johnson; Elliot C Nelson; Nicole J Werner; Dennis J Rivet; David L Brody Journal: Brain Date: 2015-03-04 Impact factor: 13.501
Authors: Octavian Adam; Christine L Mac Donald; Dennis Rivet; John Ritter; Todd May; Maria Barefield; Josh Duckworth; Donald LaBarge; Dean Asher; Benjamin Drinkwine; Yvette Woods; Michael Connor; David L Brody Journal: Neurology Date: 2015-06-24 Impact factor: 9.910
Authors: Paul E Rapp; Brenna M Rosenberg; David O Keyser; Dominic Nathan; Kevin M Toruno; Christopher J Cellucci; Alfonso M Albano; Scott A Wylie; Douglas Gibson; Adele M K Gilpin; Theodore R Bashore Journal: Front Neurol Date: 2013-07-22 Impact factor: 4.003
Authors: Christine L Mac Donald; Jason Barber; Mary Jordan; Ann M Johnson; Sureyya Dikmen; Jesse R Fann; Nancy Temkin Journal: JAMA Neurol Date: 2017-07-01 Impact factor: 18.302