Detecting Psychiatric Morbidity After Stroke | Zendy

Suzanne O’Rourke | Zendy; Siobhan MacHale | Zendy; David F. Signorini | Zendy; Martin Dennis | Zendy

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Detecting Psychiatric Morbidity After Stroke

Author(s) -

Suzanne O’Rourke,

Siobhan MacHale,

David F. Signorini,

Martin Dennis

Publication year - 1998

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/01.str.29.5.980

Subject(s) - medicine , hospital anxiety and depression scale , schedule for affective disorders and schizophrenia , general health questionnaire , anxiety , psychiatry , depression (economics) , mood disorders , schizophrenia (object oriented programming) , stroke (engine) , population , mechanical engineering , environmental health , engineering , economics , macroeconomics

Mood disorders are common after stroke and may impede physical, functional, and cognitive recovery, making early identification and treatment of potential importance. We aimed to compare the accuracy of the General Health Questionnaire (GHQ-30) and the Hospital Anxiety and Depression (HAD) Scale in detecting psychiatric morbidity after stroke and to determine the most suitable cutoff points for different purposes.

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