Literature DB >> 20304503

Correlation between patient and clinician assessments of depression severity in the PREVENT study.

Boadie W Dunlop1, Thomas Li, Susan G Kornstein, Edward S Friedman, Anthony J Rothschild, Ron Pedersen, Philip Ninan, Martin Keller.   

Abstract

BACKGROUND: The degree of agreement between patient- and clinician-rated scales of depressive severity varies widely. This study analyzed agreement between commonly used depression rating scales in the Prevention of Recurrent Episodes of Depression with Venlafaxine Extended Release (ER) for Two Years (PREVENT) trial.
METHODS: The PREVENT trial was a multiphase, randomized, double-blind study of patients with recurrent major depressive disorder. This secondary analysis evaluated acute (10weeks) and continuation phase (6months) data. Pearson correlation coefficients at each acute-phase (weekly) and continuation-phase (monthly) visit were calculated for patient-rated (30-item Inventory of Depressive Symptomatology-Self-Rated [IDS-SR30] and clinician-rated (17-item Hamilton Rating Scale for Depression [HAM-D17] and Clinical Global Impressions-Severity [CGI-S]) measures and for response and remission.
RESULTS: Data from 1,047 patients were analyzed. The respective correlation coefficients at baseline, week 10, and month 6 were: IDS-SR30: HAM-D17: 0.46, 0.75, 0.70; and for IDS-SR30: CGI-S 0.28, 0.67, 0.65. Agreement between IDS-SR30- and HAM-D17-defined remission and response was relatively poor: week 10, 0.52 and 0.34, respectively; month 6, 0.45 and 0.32, respectively.
CONCLUSIONS: These findings suggest that patient-rated measures of depression severity do not correspond strongly with clinician ratings, and are particularly poor prior to the initiation of treatment. Copyright 2010 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20304503      PMCID: PMC3668786          DOI: 10.1016/j.psychres.2010.02.008

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  24 in total

1.  Zung, Beck, and Hamilton Rating Scales as measures of treatment outcome: a meta-analytic comparison.

Authors:  M J Lambert; D R Hatch; M D Kingston; B C Edwards
Journal:  J Consult Clin Psychol       Date:  1986-02

2.  Comparison of self-rated and clinician-rated measures of depressive symptoms: a naturalistic study.

Authors:  Stella Dorz; Giuseppe Borgherini; Donatella Conforti; Caterina Scarso; Guido Magni
Journal:  Psychol Psychother       Date:  2004-09       Impact factor: 3.915

3.  A new depression scale designed to be sensitive to change.

Authors:  S A Montgomery; M Asberg
Journal:  Br J Psychiatry       Date:  1979-04       Impact factor: 9.319

4.  A meta-analysis of antidepressant outcome under "blinder" conditions.

Authors:  R P Greenberg; R F Bornstein; M D Greenberg; S Fisher
Journal:  J Consult Clin Psychol       Date:  1992-10

5.  Concordance between clinical and self-report depression scales during the acute phase and after treatment.

Authors:  C Senra; A Polaino
Journal:  J Affect Disord       Date:  1993-01       Impact factor: 4.839

6.  The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression.

Authors:  A John Rush; Madhukar H Trivedi; Hicham M Ibrahim; Thomas J Carmody; Bruce Arnow; Daniel N Klein; John C Markowitz; Philip T Ninan; Susan Kornstein; Rachel Manber; Michael E Thase; James H Kocsis; Martin B Keller
Journal:  Biol Psychiatry       Date:  2003-09-01       Impact factor: 13.382

7.  Assessment of depression: a comparison of rating scales.

Authors:  C Faravelli; G Albanesi; E Poli
Journal:  J Affect Disord       Date:  1986 Nov-Dec       Impact factor: 4.839

8.  What factors predict discrepancies between self and observer ratings of depression?

Authors:  M Domken; J Scott; P Kelly
Journal:  J Affect Disord       Date:  1994-08       Impact factor: 4.839

9.  The Inventory of Depressive Symptomatology (IDS): psychometric properties.

Authors:  A J Rush; C M Gullion; M R Basco; R B Jarrett; M H Trivedi
Journal:  Psychol Med       Date:  1996-05       Impact factor: 7.723

10.  The prevalence of cognitive distortion in depressed adolescents.

Authors:  P Marton; S Kutcher
Journal:  J Psychiatry Neurosci       Date:  1995-01       Impact factor: 6.186

View more
  12 in total

1.  Concordance between clinician and patient ratings as predictors of response, remission, and recurrence in major depressive disorder.

Authors:  Boadie W Dunlop; Thomas Li; Susan G Kornstein; Edward S Friedman; Anthony J Rothschild; Ron Pedersen; Philip Ninan; Martin Keller; Madhukar H Trivedi
Journal:  J Psychiatr Res       Date:  2010-06-02       Impact factor: 4.791

2.  Differential change on depressive symptom factors with antidepressant medication and cognitive behavior therapy for major depressive disorder.

Authors:  Boadie W Dunlop; Steven P Cole; Charles B Nemeroff; Helen S Mayberg; W Edward Craighead
Journal:  J Affect Disord       Date:  2017-12-27       Impact factor: 4.839

3.  Baseline depression severity as a predictor of single and combination antidepressant treatment outcome: results from the CO-MED trial.

Authors:  Edward S Friedman; Lori L Davis; Sidney Zisook; Stephen R Wisniewski; Madhukar H Trivedi; Maurizio Fava; A John Rush
Journal:  Eur Neuropsychopharmacol       Date:  2011-09-14       Impact factor: 4.600

4.  Predicting relapse with individual residual symptoms in major depressive disorder: a reanalysis of the STAR*D data.

Authors:  Hitoshi Sakurai; Takefumi Suzuki; Kimio Yoshimura; Masaru Mimura; Hiroyuki Uchida
Journal:  Psychopharmacology (Berl)       Date:  2017-05-03       Impact factor: 4.530

5.  Baseline difference between patients' and clinicians' rated illness severity scores and subsequent outcomes in major depressive disorder: analysis of the sequenced treatment alternatives to relieve depression data.

Authors:  Mitsuhiro Tada; Hiroyuki Uchida; Takefumi Suzuki; Takayuki Abe; Bruce G Pollock; Masaru Mimura
Journal:  J Clin Psychopharmacol       Date:  2014-06       Impact factor: 3.153

6.  Placebo Effects Across Self-Report, Clinician Rating, and Objective Performance Tasks Among Women With Post-Traumatic Stress Disorder: Investigation of Placebo Response in a Pharmacological Treatment Study of Post-Traumatic Stress Disorder.

Authors:  Gabrielle E Hodgins; Jared G Blommel; Boadie W Dunlop; Dan Iosifescu; Sanjay J Mathew; Thomas C Neylan; Helen S Mayberg; Philip D Harvey
Journal:  J Clin Psychopharmacol       Date:  2018-06       Impact factor: 3.153

7.  Approaches for discontinuation versus continuation of long-term antidepressant use for depressive and anxiety disorders in adults.

Authors:  Ellen Van Leeuwen; Mieke L van Driel; Mark A Horowitz; Tony Kendrick; Maria Donald; An Im De Sutter; Lindsay Robertson; Thierry Christiaens
Journal:  Cochrane Database Syst Rev       Date:  2021-04-15

8.  Psychometric properties of the IDS-SR30 for the assessment of depressive symptoms in Spanish population.

Authors:  Margalida Gili; Juan V Luciano; Natalia Bauzá; Jaume Aguado; María J Serrano; Silvia Armengol; Miquel Roca
Journal:  BMC Med Res Methodol       Date:  2011-09-21       Impact factor: 4.615

9.  Factors related to the improvement in quality of life for depressed inpatients treated with fluoxetine.

Authors:  Wei-Cheng Yang; Ching-Hua Lin; Fu-Chiang Wang; Mei-Jou Lu
Journal:  BMC Psychiatry       Date:  2017-08-25       Impact factor: 3.630

10.  Concordance between clinician-rated and patient reported outcome measures of depressive symptoms in treatment resistant depression.

Authors:  Rachel Hershenberg; William M McDonald; Andrea Crowell; Patricio Riva-Posse; W Edward Craighead; Helen S Mayberg; Boadie W Dunlop
Journal:  J Affect Disord       Date:  2020-01-22       Impact factor: 4.839

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.