Health-Related Quality-of-Life Measure Enhances Acute Treatment Response Prediction in Depressed Inpatients
J Clin Psychiatry 2001;62(4):261-268
© Copyright 2016 Physicians Postgraduate Press, Inc.
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Background: Many nonbiological variables are
reported to predict treatment response for major depression;
however, there is little agreement about which variables are most
Method: Inpatient subjects (N = 59) diagnosed
with current DSM-IV major depressive disorder completed weekly
depressive symptom ratings with the Hamilton Rating Scale for
Depression (HAM-D-17) and Beck Depression Inventory (BDI), and
weekly health-related quality-of-life (HRQL) ratings with the
Quality of Well-Being Scale (QWB). Acute responders were
identified by a 50% decrease in HAM-D-17 score from baseline
within 4 weeks of medication treatment. Predictor variables were
initially chosen from a literature review and then tested for
their association with acute treatment response.
Results: An initial predictive model
including age at first depression, admission BDI score, and
melancholia predicted acute treatment response with 69% accuracy
and was designated as the benchmark model. Adding the admission
QWB index score to the benchmark model did not improve the
prediction rate; however, adding the admission QWB subscales for
physical and social activity to the benchmark model significantly
improved acute treatment response prediction to 86% accuracy (p =
Conclusion: In addition to being designed for
use in cost-effectiveness analyses, the QWB subscales appear to
be useful HRQL variables for predicting acute inpatient
depression treatment response.