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Psychometric properties of the Hamilton Depression Rating Scale in multiple sclerosis

  • 01-08-2015
Gepubliceerd in:

Abstract

Background

Multiple sclerosis (MS) is frequently associated with depressive symptoms and major depression.

Objective

We assessed psychometric properties of the Hamilton Depression Rating Scale (HDRS, 17-item version) for assessing depressive symptomatology in a sample of MS patients.

Methods

Seventy patients (aged 43.3 ± 10.3 years) completed the HDRS and a thorough clinical and neuropsychological assessment, including diagnosis of major depression according to the established clinical criteria.

Results

HDRS was easy to administer and acceptable, and showed fair internal consistency (Cronbach’s alpha = 0.8). The HDRS showed good convergent validity with respect to neuropsychiatric inventory (NPI) subdomain of depression (r rho = .85) and good divergent validity with respect to remaining NPI subdomains (r rho < .30). Moreover, HDRS’s total score correlated moderately with functional disability and apathetic symptomatology, and poorly with general cognitive status. Receiver operating characteristics curve analysis demonstrated that a cutoff >14.5 can identify clinically relevant depressive symptoms with good sensitivity (93 %) and specificity (97 %) with respect to the diagnosis of major depression. Such a cutoff identified clinically relevant depressive symptoms in 42 % of our MS sample, whereas 44.2 % patients met established clinical criteria for major depression.

Conclusion

The HDRS can be considered as an easy, reliable, and valid tool to assess depressive symptomatology for clinical and research purposes in non-demented MS patients.
Titel
Psychometric properties of the Hamilton Depression Rating Scale in multiple sclerosis
Auteurs
Simona Raimo
Luigi Trojano
Daniele Spitaleri
Vittorio Petretta
Dario Grossi
Gabriella Santangelo
Publicatiedatum
01-08-2015
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 8/2015
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-015-0940-8
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