Measuring depression in patients with chronic illnesses such as multiple sclerosis (MS) is potentially complicated by the fact that several somatic symptoms of depression are also common in chronic illnesses. Whether standard assessment measures such as the Beck Depression Inventory (BDI) and Hamilton Rating Scale for Depression (HRSD) should exclude certain somatic symptoms when used in MS has been examined previously, but there is no clear consensus on this issue. The present study evaluated the utility of individual BDI and HRSD items for assessing depression in MS patients by examining how individual items responded to depression treatment in 42 (29 female) depressed MS patients. All 21 BDI items and 12 of 17 HRSD items decreased significantly with treatment, suggesting that all BDI items tap depression, as do 12 of 17 HRSD items. Thus, the present data support the inclusion of all BDI items when measuring depression in MS. Decisions on whether or not to use all HRSD items or only the 12 shown here to capture depression may depend on the study purpose and design.
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http://dx.doi.org/10.1007/s10865-005-2561-0 | DOI Listing |
Acta Psychiatr Scand
November 2024
Department of Psychology, University of Amsterdam, Amsterdam, Netherlands.
BJPsych Open
August 2023
Division of Population Health Sciences, RCSI University of Medicine and Health Sciences, Ireland.
Background: Modern psychometric methods make it possible to eliminate nonperforming items and reduce measurement error. Application of these methods to existing outcome measures can reduce variability in scores, and may increase treatment effect sizes in depression treatment trials.
Aims: We aim to determine whether using confirmatory factor analysis techniques can provide better estimates of the true effects of treatments, by conducting secondary analyses of individual patient data from randomised trials of antidepressant therapies.
Neuropsychiatr Dis Treat
February 2022
Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Purpose: Evaluate the psychometric properties of the 5-item Very Quick Inventory of Depressive Symptomatology self-report and clinician-rated versions (VQIDS-SR/VQIDS-C), compare their relative performance, create crosswalks between their total scores and other accepted depressive symptom ratings, and define clinically relevant depressive symptom severity thresholds and categorical outcomes for both versions.
Patients And Methods: The Sequenced Treatment Alternatives to Relieve Depression trial obtained baseline and exit 17-item Hamilton Rating Scale for Depression (HRSD) and 30-item Inventory of Depressive Symptomatology - Clinician-rated scores, and baseline and visit-wise QIDS-SR and QIDS-C ratings from the first treatment step (citalopram). The VQIDS-C and the VQIDS-SR items (sad mood, self-outlook, involvement, fatigue, psychomotor slowing) (each rated 0-3), extracted from the corresponding 16-item ratings, were selected to best reflect the 6-item HRSD (HRSD) (exclusive of anxiety).
Zhonghua Yi Xue Za Zhi
October 2021
Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
To explore the effect of modified electroconvulsive therapy (MECT) on resting-state functional connectivity (RSFC) in patients with major depressive disorder (MDD). Patients with MDD from Anhui Mental Health Center from October 2017 to May 2019 were included. Using bilateral nucleus accumbens (NAcc) as seed points, changes of RSFC were investigated before and after MECT through resting-state functional magnetic imaging (fMRI).
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