Reliability of the Beck Depression Inventory in opiate-dependent patients

Carmen Barral, Laia Rodríguez-Cintas, Nieves Martínez-Luna, Diana Bachiller, Jesús Pérez-Pazos, Joan Alvarós, Miguel Casas, Carlos Roncero

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

© 2016 Taylor & Francis Group, LLC. Background: The prevalence of depressive disorder in opioid-dependent patients in methadone treatment has been found to be between 19 to 74.3%. Beck Depression Inventory (BDI) is commonly used as a screening for depressive symptoms. The objective of this study is assessing BDI in opiate-dependent patients.Methods: A total of 415 patients over 18 years old in a methadone maintenance program that is part of an outpatient drug clinic treated with stable doses of methadone in the last month were assessed using Structured Clinical Interview for Axis I Disorders of the DSM-IV (SCID-I) and BDI.Results: A sample of 118 patients completed the evaluation; 77.96% showed depressive symptoms (N: 92) (BDI scores ≥ 10). Patients who met criteria for depression with SCID-I and BDI (6.7%) showed a higher score in BDI which did not reach significance. Statistical differences were found in the depressive group. Predictive value of BDI was 6.61% with a cut-off point of BDI ≥ 10, growing to 11.7% with a cut-off point of BDI > 30.Conclusions: BDI is not effective for diagnosing depressive disorder. An adequate psychometric tool is needed to improve the detection of depressive symptoms and depressive diagnosis in opiate-dependent patients in order to reduce risk of relapse and improve treatment strategies.
Original languageEnglish
Pages (from-to)128-132
JournalJournal of Substance Use
Volume21
Issue number2
DOIs
Publication statusPublished - 1 Jan 2016

Keywords

  • BDI
  • depressive disorders
  • opiate dependent

Fingerprint Dive into the research topics of 'Reliability of the Beck Depression Inventory in opiate-dependent patients'. Together they form a unique fingerprint.

Cite this