Psychometric properties of cognitive screening for patients with cerebrovascular diseases A systematic review

• Autor(a) principal: Rodrigues,Jaqueline de Carvalho
• Data de Publicação: 2019
• Outros Autores: Becker,Natália, Beckenkamp,Carolina Luísa, Miná,Camila Schorr, Salles,Jerusa Fumagalli de, Bandeira,Denise Ruschel
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Dementia & Neuropsychologia
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642019000100031
• topic: neuropsychological assessment; stroke; vascular cognitive impairment; validity; reliability

ABSTRACT. Screening instruments are ideal for acute clinical settings because they are easy to apply, fast, inexpensive and sensitive for specific samples. However, there is a need to verify the psychometric properties of screening in stroke patients. Objective: This study investigated the psychometric properties (methodological procedures) of cognitive screening for patients with cerebrovascular diseases. Methods: A systematic review of papers published on PsycINFO, Web of Knowledge, PubMed and Science Direct (2005 to 2016) was performed. Results: A total of 55 articles remained after applying exclusion criteria. The samples ranged from 20 to 657 patients. Most articles evaluated elderly individuals with four to 13 years of education who had experienced ischemic or hemorrhagic stroke. There was a tendency to find evidence of validity for criteria and to analyze the sensitivity/specificity of the instruments. Although the studies frequently used the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) to seek evidence of validity and reliability, the use of these instruments among stroke patients has been criticized due to their psychometric properties and the neuropsychological functions evaluated. Conclusion: Although there is no gold standard screen for assessing adults post-stroke, instruments devised specifically for this population have shown promise. This review helps both researchers and clinicians to select the most appropriate screen for identifying cognitive impairment in adults post-stroke.