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Screening for mood disorders after stroke: a systematic review of psychometric properties and clinical utility

Journal

PSYCHOLOGICAL MEDICINE
Volume 45, Issue 1, Pages 29-49

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0033291714000336

Keywords

Mood; review; screening; stroke

Funding

  1. Knowledge Transfer Partnership by the Technology Strategy Board [0007812]
  2. Greater Manchester and Cheshire Cardiovascular Network

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Background. Routine mood screening is recommended after stroke. However, clinicians report difficulty selecting appropriate tools from the wide range available. We aimed to systematically review the psychometric properties and clinical utility of mood screening tools for stroke survivors. Method. Electronic databases (AMED, EMBASE, CINAHL, Medline and PsycINFO) were searched to identify studies assessing the sensitivity and specificity of mood screening tools. Tools that demonstrated at least 80% sensitivity and 60% specificity with stroke survivors with identifiable cut-off scores indicating major and/or any mood disorder in at least one study were selected and clinical utility was assessed. Those with high clinical utility (against predefined criteria) were selected for recommendation. Results. Thirty papers examining 27 screening tools were identified and 16 tools met the psychometric and clinical utility criteria: 10 were verbal self-report tools, four were observational and two incorporated visual prompts for those with communication problems. Only the Stroke Aphasic Depression Questionnaire -Hospital version (SADQ-H) met all the psychometric and utility criteria. The nine-item Patient Health Questionnaire (PHQ-9) can detect major depression and the 15-item Geriatric Depression Scale (GDS-15) can identify milder symptoms; both are feasible to use in clinical practice. The Hospital Anxiety and Depression Scale (HADS) was the only tool able to identify anxiety accurately, but clinical utility was mixed. Conclusions. Valid and clinically feasible mood screening tools for stroke have been identified but methodological inconsistency prevented recommendations about the optimal cut-off scores.

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