Literature DB >> 23303512

Incorporating multidimensional patient-reported outcomes of symptom severity, functioning, and quality of life in the Individual Burden of Illness Index for Depression to measure treatment impact and recovery in MDD.

Robert M Cohen1, Jared M Greenberg, Waguih William IsHak.   

Abstract

CONTEXT: The National Institute of Mental Health Affective Disorders Workgroup identified the assessment of an individual's burden of illness as an important need. The Individual Burden of Illness Index for Depression (IBI-D) metric was developed to meet this need.
OBJECTIVE: To assess the use of the IBI-D for multidimensional assessment of treatment efficacy for depressed patients. DESIGN, SETTING, AND PATIENTS: Complete data on depressive symptom severity, functioning, and quality of life (QOL) from depressed patients (N = 2280) at entry and exit of level 1 of the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study (12-week citalopram treatment) were used as the basis for calculating IBI-D and self-rating scale changes.
RESULTS: Principal component analysis of patient responses at the end of level 1 of STAR*D yielded a single principal component, IBI-D, with a nearly identical eigenvector to that previously reported. While changes in symptom severity (Quick Inventory of Depressive Symptomatology-Self Report) accounted for only 50% of the variance in changes in QOL (Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form) and 47% of the variance in changes in functioning (Work and Social Adjustment Scale), changes in IBI-D captured 83% of the variance in changes in QOL and 80% in functioning, while also capturing 79% of the variance in change in symptom severity (Quick Inventory of Depressive Symptomatology-Self Report). Most importantly, the changes in IBI-D of the 36.6% of remitters who had abnormal QOL and/or functioning (mean [SD], 2.98 [0.35]) were significantly less than the changes in IBI-D of those who reported normal QOL and functioning (IBI-D = 1.97; t = 32.6; P < 10(-8)) with an effect size of a Cohen d of 2.58. In contrast, differences in symptom severity, while significant, had a Cohen d of only 0.78.
CONCLUSIONS: Remission in depressed patients, as defined by a reduction in symptom severity, does not denote normal QOL or functioning. By incorporating multidimensional patient-reported outcomes, the IBI-D provides a single measure that adequately captures the full burden of illness in depression both prior to and following treatment; therefore, it offers a more accurate metric of recovery. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00021528.

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Year:  2013        PMID: 23303512     DOI: 10.1001/jamapsychiatry.2013.286

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN: 2168-622X            Impact factor:   21.596


  31 in total

1.  [Guideline-adherent psychiatric-psychotherapeutic hospital care: Normative definition of staff required using the example of depression].

Authors:  M Berger; J Wolff; C Normann; F Godemann; E Schramm; A Klimke; A Heinz; S C Herpertz
Journal:  Nervenarzt       Date:  2015-05       Impact factor: 1.214

2.  Efficacy of a Maternal Depression Prevention Strategy in Head Start: A Randomized Clinical Trial.

Authors:  Michael Silverstein; Yaminette Diaz-Linhart; Howard Cabral; William Beardslee; Mark Hegel; Winta Haile; Jenna Sander; Gregory Patts; Emily Feinberg
Journal:  JAMA Psychiatry       Date:  2017-08-01       Impact factor: 21.596

3.  Quality of life in major depressive disorder before/after multiple steps of treatment and one-year follow-up.

Authors:  W W IsHak; J Mirocha; D James; G Tobia; J Vilhauer; H Fakhry; S Pi; E Hanson; R Nashawati; E D Peselow; R M Cohen
Journal:  Acta Psychiatr Scand       Date:  2014-06-23       Impact factor: 6.392

4.  STAR*D and Measurement-Based Care for Depression: Don't Toss Out the Baby!

Authors:  Raymond W Lam; Sidney H Kennedy
Journal:  Can J Psychiatry       Date:  2015-01       Impact factor: 4.356

5.  Patients as Agents in Behavioral Health Research and Service Provision: Recommendations to Support the Learning Health System.

Authors:  Hannah K Galvin; Carolyn Petersen; Vignesh Subbian; Anthony Solomonides
Journal:  Appl Clin Inform       Date:  2019-11-06       Impact factor: 2.342

6.  Predicting relapse in major depressive disorder using patient-reported outcomes of depressive symptom severity, functioning, and quality of life in the Individual Burden of Illness Index for Depression (IBI-D).

Authors:  Waguih William Ishak; Jared M Greenberg; Robert M Cohen
Journal:  J Affect Disord       Date:  2013-06-19       Impact factor: 4.839

7.  Quality of Life Impacts of Bright Light Treatment, Fluoxetine, and the Combination in Patients with Nonseasonal Major Depressive Disorder: A Randomized Clinical Trial.

Authors:  Emma Morton; Erin E Michalak; Anthony Levitt; Robert D Levitan; Amy Cheung; Rachel Morehouse; Rajamannar Ramasubbu; Lakshmi N Yatham; Edwin M Tam; Raymond W Lam
Journal:  Can J Psychiatry       Date:  2020-06-23       Impact factor: 4.356

8.  Early Improvement in Work Productivity Predicts Future Clinical Course in Depressed Outpatients: Findings From the CO-MED Trial.

Authors:  Manish K Jha; Abu Minhajuddin; Tracy L Greer; Thomas Carmody; A John Rush; Madhukar H Trivedi
Journal:  Am J Psychiatry       Date:  2016-08-13       Impact factor: 18.112

9.  Patient-reported functioning in major depressive disorder.

Authors:  Waguih William IsHak; David M James; James Mirocha; Haidy Youssef; Gabriel Tobia; Sarah Pi; Katherine L Collison; Robert M Cohen
Journal:  Ther Adv Chronic Dis       Date:  2016-03-31       Impact factor: 5.091

10.  Patient-reported outcomes of quality of life, functioning, and depressive symptom severity in major depressive disorder comorbid with panic disorder before and after SSRI treatment in the star*d trial.

Authors:  Waguih William IsHak; James Mirocha; Scott Christensen; Fan Wu; Richard Kwock; Joseph Behjat; Sarah Pi; Araks Akopyan; Eric D Peselow; Robert M Cohen; David Elashoff
Journal:  Depress Anxiety       Date:  2013-07-16       Impact factor: 6.505

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