Carina T Spedo1, Seth E Frndak2, Vanessa D Marques1, Maria P Foss3, Danilo A Pereira4, Lucas de F Carvalho5, Carlos T Guerreiro1, Rodrigo M Conde1, Tatiana Fusco1, Ana J Pereira1, Silvana B Gaino6, Ricardo B Garcia3, Ralph H B Benedict2, Amilton A Barreira1. 1. a Department of Neuroscience and Behavior Sciences , Ribeirão Preto Medical School, University of São Paulo (FMRP-USP) , São Paulo , Brazil. 2. b Departments of Neurology and Psychiatry, School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA. 3. c Faculty of Philosophy , Languages and Literature, and Human Sciences (FFLCH) of the University of São Paulo , São Paulo , Brazil. 4. d Brazilian Institute of Neuropsychology and Cognitive Sciences (IBNeuro), Federal District , São Paulo , Brazil. 5. e Department of Psychology , University of São Francisco (USF) , São Paulo , Brazil. 6. f Department of Psychology , Federal University of the Recôncavo Baiano (UFRB) , Centro, Cruz das Almas , Brazil.
Abstract
OBJECTIVE: To investigate the reliability and validity of a Brazilian-Portuguese adaptation of the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS). METHOD: A Brazilian sample of 58 multiple sclerosis (MS) patients and 58 healthy controls (HC) were administered the Brazilian-Portuguese BICAMS test battery, comprising the Symbol Digit Modalities Test (SDMT), California Verbal Learning Test Second Edition (CVLT2), and the Brief Visuospatial Memory Test Revised (BVMTR). Mean differences between groups on BICAMS tests were assessed using analysis of covariance (ANCOVA), controlling for age, gender, education, anxiety, and depression. Test-retest data were obtained from 49 of the MS patients, two weeks after the initial assessment. RESULTS: The MS patient group scored significantly lower on all BICAMS tests (CVLT2 F1,110 = 28.99, p < .001; BVMTR F1,110 = 7.77, p < .01; SDMT F1,110 = 21.09, p < .001). Mixed-factor ANCOVAs tested differences in learning curves across trials for CVLT2 and BVMTR. HCs had significantly steeper learning curves on both CVLT2 (F1,111 = 10.82, p < .01) and BVMTR (F1,110 = 7.816, p < .01). These findings support diagnostic validity of the Brazilian-Portuguese adaptation. Test-retest reliability was satisfactory for SDMT, CVLT2, and BVMTR (.86, .84, and .77, respectively). CONCLUSION: The results suggest that this Brazilian version of the BICAMS will be a valid and reliable measure once complete normative data become available.
OBJECTIVE: To investigate the reliability and validity of a Brazilian-Portuguese adaptation of the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS). METHOD: A Brazilian sample of 58 multiple sclerosis (MS) patients and 58 healthy controls (HC) were administered the Brazilian-Portuguese BICAMS test battery, comprising the Symbol Digit Modalities Test (SDMT), California Verbal Learning Test Second Edition (CVLT2), and the Brief Visuospatial Memory Test Revised (BVMTR). Mean differences between groups on BICAMS tests were assessed using analysis of covariance (ANCOVA), controlling for age, gender, education, anxiety, and depression. Test-retest data were obtained from 49 of the MSpatients, two weeks after the initial assessment. RESULTS: The MSpatient group scored significantly lower on all BICAMS tests (CVLT2 F1,110 = 28.99, p < .001; BVMTR F1,110 = 7.77, p < .01; SDMT F1,110 = 21.09, p < .001). Mixed-factor ANCOVAs tested differences in learning curves across trials for CVLT2 and BVMTR. HCs had significantly steeper learning curves on both CVLT2 (F1,111 = 10.82, p < .01) and BVMTR (F1,110 = 7.816, p < .01). These findings support diagnostic validity of the Brazilian-Portuguese adaptation. Test-retest reliability was satisfactory for SDMT, CVLT2, and BVMTR (.86, .84, and .77, respectively). CONCLUSION: The results suggest that this Brazilian version of the BICAMS will be a valid and reliable measure once complete normative data become available.
Entities:
Keywords:
BICAMS; Cognitive Assessment; Cultural Adaptation; Multiple Sclerosis; Neuropsychological Testing.
Authors: Nadina B Lincoln; Lucy E Bradshaw; Cris S Constantinescu; Florence Day; Avril Er Drummond; Deborah Fitzsimmons; Shaun Harris; Alan A Montgomery; Roshan das Nair Journal: Health Technol Assess Date: 2020-01 Impact factor: 4.014
Authors: Ralph Hb Benedict; John DeLuca; Glenn Phillips; Nicholas LaRocca; Lynn D Hudson; Richard Rudick Journal: Mult Scler Date: 2017-02-16 Impact factor: 6.312