87 research outputs found

    Validity of the Barrow Neurological Institute (BNI) screen for higher cerebral functions in stroke patients with good functional outcome

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    Cognitive impairments are often under diagnosed in stroke patients with good functional outcome. There is a need for a cognitive screening instrument that is sufficiently sensitive to cognitive impairments in these stroke patients. For this goal, we tested the feasibility and validity of the Barrow Neurological Institute Screen for Higher Cerebral Functions (BNIS). Stroke patients with good functional outcome (Barthel Index 19/20) within 1 year poststroke were administered the BNIS and a brief neuropsychological assessment (NPA) including tests for perception, language, memory, attention, reasoning, and executive functioning. We compared the BNIS with the NPA to investigate its feasibility, internal consistency, floor and ceiling effects, concurrent validity, sensitivity and specificity. Fifty-four stroke patients were included. It took significantly less time to administer the BNIS (median = 16 minutes) than the NPA (median = 32.7 minutes). The BNIS showed good internal consistency (alpha = .82) and no floor or ceiling effects. The recommended cutoff values yielded good sensitivity and low to good specificity, depending on age. Except for perception (Spearman correlation .33), BNIS domain scores were significantly (0.44-0.55) associated with matching neuropsychological tests. This study provides promising results for the BNIS as a measure to detect cognitive impairments in stroke patients with good functional outcome

    A longitudinal cohort study on quality of life in stroke patients and their partners: Restore4Stroke Cohort

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    BACKGROUND: Stroke is a major cause of disability in the Western world. Its long-term consequences have a negative impact on the quality of life of both the patients and their partners. AIM: The aim of the Restore4Stroke Cohort study is to investigate the changes in quality of life of stroke patients and their partners over time, and to determine factors predicting quality of life in several domains, especially personal and environmental factors. METHOD: Multicentre prospective longitudinal cohort study. Inclusion and the first assessment take place during hospital stay in the first week post-stroke. Follow-up assessments take place at two months, six months, one year, and two years post-stroke. Recruitment of 500 patients from stroke units in six participation hospitals is foreseen. If the patient has a partner, he or she is also asked to participate in the study. OUTCOMES: The main outcome is quality of life, considered from a health-related quality of life and domain-specific quality of life perspective. Factors predicting long-term quality of life will be determined by taking into account the health condition (pre-stroke health condition and stroke-related health condition), personal factors (e.g. coping and illness cognitions), and environmental factors (e.g. caregiver burden and social support). DISCUSSION: This study is expected to provide information about the changes in quality of life of stroke patients and their partners over time. Furthermore, the identification of factors predicting quality of life can be used to improve rehabilitation care and develop new interventions for stroke patients and their partners
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