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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154958PMC
http://dx.doi.org/10.1007/s10488-011-0376-6DOI Listing

Publication Analysis

Top Keywords

burden illness
16
individual burden
12
principal component
8
development validation
4
validation individual
4
burden
4
illness
4
illness major
4
major depressive
4
depressive disorder
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!