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Development and initial validation of a clinical measure to assess early symptoms of post‐stroke depression in the acute stroke patient
Author(s) -
Li Jufang,
Oakley Linda Denise,
Li Yun,
Luo Yong
Publication year - 2018
Publication title -
journal of clinical nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.94
H-Index - 102
eISSN - 1365-2702
pISSN - 0962-1067
DOI - 10.1111/jocn.14099
Subject(s) - stroke (engine) , medicine , depression (economics) , acute stroke , physical therapy , delphi method , psychiatry , emergency department , mechanical engineering , statistics , mathematics , engineering , economics , macroeconomics
Aims and objectives To evaluate a measure specifically developed to clinically assess early symptoms of poststroke depression ( PSD ) in acute stroke patients. Background Poststroke depression is associated with elevated rates of morbidity and mortality following a mild‐to‐moderate stroke. Measures currently used to assess depression in acute poststroke patients can lack the clinical specificity necessary to detect symptoms within 30 days poststroke. Design A two‐round Delphi design was used to estimate symptom consensus. Methods Three panels, healthcare professionals ( N = 74), experts ( N = 16) and acute poststroke patients ( N = 40), evaluated an initial set of symptom‐items systematically developed by the research team. Results Our study yielded consensus for 29 symptom‐items. Additional symptoms recommended by acute poststroke patients increased the final number of symptoms to 35. Conclusions We developed a specific measure of early symptoms of PSD in acute stroke patients with good content validity. Relevance to clinical practice The specific clinical relevance of our findings lies in the consensus of health professionals, the Delphi panel and patients regarding core areas of clinical assessment during the acute poststroke phase. And our findings may draw attention to the need to assess and treat acute stroke patients with early symptoms of PSD .