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Development and Validation of the Individual Burden of Illness Index for Major Depressive Disorder (IBI-D)

Abstract  

This study aims at developing a single numerical measure that represents a depressed patient’s individual burden of illness.
An exploratory study examined depressed outpatients (n = 317) followed by a hypothesis confirmatory study using the NIMH STAR*D trial (n = 2,967). Eigenvalues/eigenvectors were obtained from the Principal Component Analyses of patient-reported measures of symptom
severity, functioning, and quality of life. The study shows that a single principal component labeled as the Individual Burden
of Illness Index for Depression (IBI-D) accounts for the vast majority of the variance contained in these three measures providing
a numerical z score for clinicians and investigators to determine an individual’s burden of illness, relative to other depressed patients.

  • Content Type Journal Article
  • Category Original Paper
  • Pages 1-11
  • DOI 10.1007/s10488-011-0376-6
  • Authors
    • Waguih William IsHak, Department of Psychiatry and Behavioral Neurosciences, Cedars-Sinai Medical Center and David Geffen School of Medicine at UCLA, 8730 Alden Drive, Thalians W-157, Los Angeles, CA 90048, USA
    • Jared Matt Greenberg, David Geffen School of Medicine at UCLA and Keck School of Medicine at University of Southern California (USC), Los Angeles, CA, USA
    • Tammy Saah, Emory University, Atlanta, GA, USA
    • Shakiba Mobaraki, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
    • Hala Fakhry, Department of Psychiatry, Faculty of Medicine, Cairo University, Cairo, Egypt
    • Qian (Vicky) Wu, Biostatisitics, UCLA School of Public Health, Los Angeles, CA, USA
    • Eunis Ngor, Biostatisitics, UCLA School of Public Health, Los Angeles, CA, USA
    • Fei Yu, Biostatisitics, UCLA School of Public Health, Los Angeles, CA, USA
    • Robert M. Cohen, Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, USA
    • Journal Administration and Policy in Mental Health and Mental Health Services Research
    • Online ISSN 1573-3289
    • Print ISSN 0894-587X
Posted in: Journal Article Abstracts on 10/08/2011 | Link to this post on IFP |
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