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Comparing depression screening tools in persons with multiple sclerosis (MS).

Joshua Hanna1, Jonathan B Santo2, Mervin Blair3

  • 1Department of Clinical Neurological Sciences, London Health Sciences Center, University Hospital, University of Western Ontario.

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|December 6, 2016
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Summary
This summary is machine-generated.

The Hospital Anxiety and Depression Scale (HADS-D) is more effective than the Beck Depression Inventory-Fast Screen (BDI-FS) for screening depression in multiple sclerosis (MS) patients. HADS-D better predicts functional outcomes like employment and disability status.

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Area of Science:

  • Neurology
  • Psychiatry
  • Clinical Psychology

Background:

  • Depression is prevalent in multiple sclerosis (MS) populations, impacting quality of life, employment, and cognition.
  • Screening for depression in MS is crucial for timely intervention and management.
  • The Hospital Anxiety and Depression Scale (HADS-D) and Beck Depression Inventory-Fast Screen (BDI-FS) are proposed screening tools for depression in MS.

Purpose of the Study:

  • To compare the associations of HADS-D and BDI-FS scores with depressive symptoms, fatigue, and functional outcomes in persons with MS.
  • To determine the differential clinical utility of HADS-D and BDI-FS in screening for depression among individuals with MS.

Main Methods:

  • Chart review of 133 individuals with MS.
  • Collection of demographic information, HADS, BDI-FS, fatigue, and processing speed scores.
  • Assessment of employment status.

Main Results:

  • Structural equation modeling revealed HADS-D more effectively predicted employment status, disability status, and processing speed compared to BDI-FS.
  • Both HADS-D and BDI-FS demonstrated predictive associations with fatigue.

Conclusions:

  • The HADS-D demonstrates superior effectiveness over the BDI-FS in predicting functional outcomes associated with depression in persons with MS.
  • HADS-D may be a more suitable screening tool for identifying depression-related functional impairments in the MS population.