Literature DB >> 32056880

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

Rachel Hershenberg1, William M McDonald1, Andrea Crowell1, Patricio Riva-Posse1, W Edward Craighead2, Helen S Mayberg3, Boadie W Dunlop4.   

Abstract

BACKGROUND: Calls to implement measurement-based care (MBC) in psychiatry are increasing. A recent Cochrane meta-analysis concluded that there is insufficient evidence that routine application of patient reported outcomes (PROs) improves treatment outcomes for common psychiatric disorders. There is a particular paucity of this information in patients with treatment resistant depression (TRD).
METHODS: A TRD sample (n = 302) and a treatment-naïve sample with major depression (n = 344) were assessed for the level of agreement in depression severity between two PROs (the Beck Depression Inventory, BDI, and the Quick Inventory of Depressive Symptomatology Self-report, QIDS-SR) and two Clinician Rated (CRs) measures (Hamilton Depression Rating Scale, HDRS, and the Montgomery-Asberg Depression Rating Scale, MADRS).
RESULTS: Correlations between CR and PRO total scores in the TRD sample ranged from 0.57 (HDRS-QIDS-SR) to 0.68 (MADRS-BDI), reflecting a moderate-to-strong relationship between assessment tools. Correlations in the treatment naïve sample were non-significantly lower for most comparisons, ranging from 0.51 (HDRS-QIDS-SR) to 0.64 (MADRS-BDI). Few predictors of discordance between CRs and PROs were identified, though chronicity of the current episode in treatment-naïve patients was associated with greater agreement. LIMITATIONS: Inter-rater reliability of the clinician interviews was conducted separately within the two studies so we could not determine the reliability between the two groups of raters used in the studies.
CONCLUSION: Findings generally supported acceptably high levels of agreement between patient and clinician ratings of baseline depression severity. More work is needed to determine the extent to which PROs can improve outcomes in MBC for depression and, more specifically, TRD.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antidepressants; Assessment; Major depressive disorder; Measurement based care; Self-reports

Mesh:

Year:  2020        PMID: 32056880      PMCID: PMC8672917          DOI: 10.1016/j.jad.2020.01.108

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  45 in total

Review 1.  Prevalence and management of treatment-resistant depression.

Authors:  Charles B Nemeroff
Journal:  J Clin Psychiatry       Date:  2007       Impact factor: 4.384

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.  How can we use depression severity to guide treatment selection when measures of depression categorize patients differently?

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Journal:  J Clin Psychiatry       Date:  2012-09-04       Impact factor: 4.384

4.  Effects of Patient Preferences on Outcomes in the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) Study.

Authors:  Boadie W Dunlop; Mary E Kelley; Vivianne Aponte-Rivera; Tanja Mletzko-Crowe; Becky Kinkead; James C Ritchie; Charles B Nemeroff; W Edward Craighead; Helen S Mayberg
Journal:  Am J Psychiatry       Date:  2017-03-24       Impact factor: 18.112

5.  How well do clinicians and patients agree on depression treatment outcomes? Implications for personalized medicine.

Authors:  Boadie W Dunlop; Bhrett McCabe; James M Eudicone; John J Sheehan; Ross A Baker
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Authors:  Jeffrey R Vittengl; Robin B Jarrett; Erica Weitz; Steven D Hollon; Jos Twisk; Ioana Cristea; Daniel David; Robert J DeRubeis; Sona Dimidjian; Boadie W Dunlop; Mahbobeh Faramarzi; Ulrich Hegerl; Sidney H Kennedy; Farzan Kheirkhah; Roland Mergl; Jeanne Miranda; David C Mohr; A John Rush; Zindel V Segal; Juned Siddique; Anne D Simons; Pim Cuijpers
Journal:  Am J Psychiatry       Date:  2016-02-12       Impact factor: 18.112

7.  Heightened subjective experience of depression in borderline personality disorder.

Authors:  Barbara Stanley; Scott T Wilson
Journal:  J Pers Disord       Date:  2006-08

8.  Discrepancies between self and observer ratings of depression. The relationship to demographic, clinical and personality variables.

Authors:  M W Enns; D K Larsen; B J Cox
Journal:  J Affect Disord       Date:  2000-10       Impact factor: 4.839

9.  Efficacy of an algorithm-guided treatment compared with treatment as usual: a randomized, controlled study of inpatients with depression.

Authors:  Michael Bauer; Andrea Pfennig; Michael Linden; Michael N Smolka; Peter Neu; Mazda Adli
Journal:  J Clin Psychopharmacol       Date:  2009-08       Impact factor: 3.153

10.  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

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Authors:  Harpriya Kaur; Juliann C Scholl; Michelle Owens-Gary
Journal:  Diabetes Spectr       Date:  2021-08-28

2.  Digital Content-Free Speech Analysis Tool to Measure Affective Distress in Mental Health: Evaluation Study.

Authors:  Peter Tonn; Lea Seule; Yoav Degani; Shani Herzinger; Amit Klein; Nina Schulze
Journal:  JMIR Form Res       Date:  2022-08-30

3.  Validation of the Malay Self-Report Quick Inventory of Depressive Symptomatology in a Malaysian Sample.

Authors:  Lai Fong Chan; Choon Leng Eu; Seng Fah Tong; Song Jie Chin; Shalisah Sharip; Yee Chin Chai; Jiann Lin Loo; Nurul Ain Mohamad Kamal; Jo Aan Goon; Raynuha Mahadevan; Chian Yong Liu; Chih Nie Yeoh; Tuti Iryani Mohd Daud
Journal:  Int J Environ Res Public Health       Date:  2022-02-28       Impact factor: 3.390

  3 in total

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