screening for clinical depression in iranian post-mi patients using the beck depression inventory for primary care

Clicks: 78
ID: 218202
2010
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #53 of 62 articles by views in advances in cancer research

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract

Abstract

   INTRODUCTION: Clinical depression is common among post-myocardial infarction (MI) patients. There is a need for a suitable instrument independent of MI characteristics to screen MI patients for depression. The purpose of this study was to ascertain psychometric properties of the Beck Depression Inventory for Primary Care (BDI-PC) in screening for clinical depression (including major and minor depressive disorders) in the post-MI patients who were scheduled for routine office visits with cardiologists.

   METHOD: The BDI-PC and hospital anxiety and depression scale (HADS) were administered to 176 post-MI patients admitted to the CCU wards of nine hospitals in Isfahan, Iran. Also the structured interview for DSM-IV, considering DSM­IV criteria for major and minor depressive disorder, was used to diagnose clinical depression.

   RESULTS: The internal consistency of the BDI-PC was high (Cronbach's alpha: 0.88), and the construct validity of BDI-PC was confirmed against depression subscale of HADS (r=0.86.8). A BDI-PC cutoff score of 5 and above yielded 91% maximum clinical efficiency with 84% (95% CI 79%-90%) sensitivity and 97% (95% CI 94%-99%) specificity rates, respectively, for identifying patients with and without clinical depression.

   CONCLUSION: The BDI-PC proved an effective case-finding instrument in screening for clinical depression in post-MI patients.

 



 

 


Keywords: Myocardial infarction, Depression, Screening, BDI-PC.

Reference Key
bagherian2010aryascreening Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Reza Bagherian;Bijan Guilani;Hadi Bahrami Ehsan;Hamid Saneei
Journal advances in cancer research
Year 2010
DOI
DOI not found
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.