Development of a computerized tool for the chinese version of the montreal cognitive assessment for screening mild cognitive impairment

2014 ◽  
Vol 27 (2) ◽  
pp. 213-219 ◽  
Author(s):  
Ke Yu ◽  
Shangang Zhang ◽  
Qingsong Wang ◽  
Xiaofei Wang ◽  
Yang Qin ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Assessment ◽  
Intraclass Correlation ◽  
Montreal Cognitive Assessment ◽  
Elderly Chinese ◽  
Item Scores ◽  
Highly Correlated ◽  
Test Retest Reliability ◽  
Machine Interaction

ABSTRACTBackground:The Montreal Cognitive Assessment (MoCA) is used for screening mild cognitive impairment (MCI), and the Beijing version (MoCA-BJ) is widely used in China. We aimed to develop a computerized tool for MoCA-BJ (MoCA-CC).Methods:MoCA-CC used person-machine interaction instead of patient-to-physician interaction; other aspects such as the scoring system did not differ from the original test. MoCA-CC, MoCA-BJ and routine neuropsychological tests were administered to 181 elderly participants (MCI = 96, normal controls [NC] = 85).Results:A total of 176 (97.24%) participants were evaluated successfully by MoCA-CC. Cronbach's α for MoCA-CC was 0.72. The test–retest reliability (retesting after six weeks) was good (intraclass correlation coefficient = 0.82; P < 0.001). Significant differences were observed in total scores (t = 9.38, P < 0.001) and individual item scores (t = 2.18–8.62, P < 0.05) between the NC and MCI groups, except for the score for “Naming” (t = 0.24, P = 0.81). The MoCA-CC total scores were highly correlated with the MoCA-BJ total scores (r = 0.93, P < 0.001) in the MCI participants. The area under receiver–operator curve for the prediction of MCI was 0.97 (95% confidence interval = 0.95–1.00). At the optimal cut-off score of 25/26, MoCA-CC demonstrated 95.8% sensitivity and 87.1% specificity.Conclusion:The MoCA-CC tool developed here has several advantages over the paper-pencil method and is reliable for screening MCI in elderly Chinese individuals, especially in the primary clinical setting. It needs to be validated in other diverse and larger populations.

scholarly journals The psychometrics and diagnostic properties of the Montreal Cognitive Assessment 5-min protocol in screening for Mild Cognitive Impairment and dementia among older adults in Tanzania: A validation study

2019 ◽  
Author(s):  
Golden Mwakibo Masika ◽  
Doris S.F. Yu ◽  
Polly W.C. Li ◽  
Adrian Wong ◽  
Rose S.Y. Lin
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Assessment ◽  
Intraclass Correlation ◽  
Age Groups ◽  
Community Dwelling ◽  
Montreal Cognitive Assessment ◽  
Cognitive Screening ◽  
Oblique Rotation

Abstract Introduction The prevalence of dementia in Tanzania, as in other developing countries is progressively increasing. Yet international screening instruments for mild cognitive impairment are lacking. The aim of this study was to determine the psychometrics and the diagnostic ability of the Montreal Cognitive Assessment 5 minutes protocol (MoCA-5-min) among older adult in the rural Tanzania. Methods The MoCA-5-min and the IDEA cognitive screening were concurrently administered through face to face to 202 community-dwelling older adults in Chamwino district. Exploratory factor analysis (EFA) using principal component method and oblique rotation was performed to determine the underlying factor structure of the scale. The concurrent, construct as well as predictive validities of the MoCA-5-min were examined by comparing its score with IDEA cognitive screening and psychiatrist’s diagnosis using DSM-V criteria respectively. Results The EFA found that all the MoCA-5-min items highly loaded into one component, with factor loading ranging from 0.550 to 0.879. The intraclass correlation coefficient for 6 weeks test-retest reliability was 0.85. Its strong significant correlation with the IDEA screening (Pearson's r = 0.614, p < 0.001) demonstrated a good concurrent validity. Using the psychiatrist’s rating as the gold standard, MoCA-5-min demonstrated the optimal cut-off score for MCI at 22, which yielded the sensitivity of 80% and specificity of 74%; and dementia at score of 16 giving a sensitivity of 90% and specificity of 80%. Upon stratifying the sample into different age groups, the optimal cut-off scores tended to decrease with the increase in age. Conclusion The MoCA-5-min is reliable and provides a valid and accurate measure of cognitive decline among older population in the rural settings of Tanzania. The use of varying cut-off scores across age groups may ensure more precise discriminatory power of the MoCA-5-min.

scholarly journals Determining a Short Form Montreal Cognitive Assessment (s-MoCA) Czech Version: Validity in Mild Cognitive Impairment Parkinson’s Disease and Cross-Cultural Comparison

Assessment ◽  
2018 ◽  
Vol 27 (8) ◽  
pp. 1960-1970 ◽  
Author(s):  
Ondrej Bezdicek ◽  
Markéta Červenková ◽  
Tyler M. Moore ◽  
Hana Stepankova Georgi ◽  
Zdenek Sulc ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Classification Accuracy ◽  
Cognitive Assessment ◽  
Short Form ◽  
Montreal Cognitive Assessment ◽  
Short Version ◽  
Highly Correlated

The Montreal Cognitive Assessment (MoCA) is one of the most common screening instruments for mild cognitive impairment. However, the standard MoCA is approximately two times longer to administer than the Mini-Mental State Examination. A total of 699 Czech and 175 American participants received the standard MoCA Czech and English versions and in the clinical part, a sample of 102 nondemented patients with Parkinson’s disease (PD). We created a validated Czech short version (s-MoCA-CZ) from the original using item response theory. As expected, s-MoCA-CZ scores were highly correlated with the standard version (Pearson r = .94, p < .001). s-MoCA-CZ also had 80% classification accuracy in the differentiation of PD mild cognitive impairment from PD without impairment. The s-MoCA-CZ, a brief screening tool, is shorter to administer than the standard MoCA. It provides high-classification accuracy for PD mild cognitive impairment and is equivalent to that of the standard MoCA-CZ.

scholarly journals Psychometric Properties of the Persian Montreal Cognitive Assessment in Mild Cognitive Impairment and Alzheimer Disease

2021 ◽  
pp. 51-57
Author(s):  
Vahid Rashedi ◽  
Mahshid Foroughan ◽  
Negin Chehrehnegar
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Alzheimer Disease ◽  
Psychometric Properties ◽  
Cognitive Assessment ◽  
Screening Test ◽  
Cognitive Status ◽  
Montreal Cognitive Assessment ◽  
Cutoff Score ◽  
Persian Version

Introduction: The Montreal Cognitive Assessment (MoCA) is a cognitive screening test widely used in clinical practice and suited for the detection of Mild Cognitive Impairment (MCI). The aims were to evaluate the psychometric properties of the Persian MoCA as a screening test for mild cognitive dysfunction in Iranian older adults and to assess its accuracy as a screening test for MCI and mild Alzheimer disease (AD). Method: One hundred twenty elderly with a mean age of 73.52 ± 7.46 years participated in this study. Twenty-one subjects had mild AD (MMSE score ≤21), 40 had MCI, and 59 were cognitively healthy controls. All the participants were administered the Mini-Mental State Examination (MMSE) to evaluate their general cognitive status. Also, a battery of comprehensive neuropsychological assessments was administered. Results: The mean score on the Persian version of the MoCA and the MMSE were 19.32 and 25.62 for MCI and 13.71 and 22.14 for AD patients, respectively. Using an optimal cutoff score of 22 the MoCA test detected 86% of MCI subjects, whereas the MMSE with a cutoff score of 26 detected 72% of MCI subjects. In AD patients with a cutoff score of 20, the MoCA had a sensitivity of 94% whereas the MMSE detected 61%. The specificity of the MoCA was 70% and 90% for MCI and AD, respectively. Discussion: The results of this study show that the Persian version of the MoCA is a reliable screening tool for detection of MCI and early stage AD. The MoCA is more sensitive than the MMSE in screening for cognitive impairment, proving it to be superior to MMSE in detecting MCI and mild AD.

Effect of Brain Training Game on Mild Cognitive Impairment (MCI) in Older Adults

2021 ◽  
Vol 15 (9) ◽  
pp. 2272-2275
Author(s):  
Hafsah Arshad ◽  
Kinza Anwar ◽  
Hafsah Gul Khattak ◽  
Imran Amjad ◽  
Yaser Majeed
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Abilities ◽  
Cognitive Assessment ◽  
Verbal Fluency ◽  
Sampling Technique ◽  
Montreal Cognitive Assessment ◽  
Brain Training ◽  
Neurocognitive Functions

Aim: To determine effects of Kinect- based games on neurocognitive functions in older adults with mild cognitive impairment. Methodology: A quasi experimental pre-post trail was conducted on 18 mild cognitive impairment (MCI) older adults. The subjects were recruited to access cognitive impairment through purposive sampling technique. The inclusion criteria were elderly aged ≥ 50 years, both genders, able to read and write, whereas older adults with severe cognitive impairments, neurological disorders and un controlled comorbidities were excluded. Brain training was provided for 30 minutes with 5-minute warm-up time and 5-minute cool-down time for 6 weeks. Blind assessor measured readings at baseline and after six weeks. The outcome measures were Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MOCA), Trail making test A & B and verbal fluency test (Semantic &Phonemic). The data was analyzed at baseline and after six weeks of intervention Results: Significant improvements were observed in post-test measurements (p <0.05) in MMSE, MoCA, TMT A & B and verbal fluency (Semantic &Phonemic) tests after 6 weeks of treatment. Conclusion: Kinect-based virtual reality games are beneficial in improving cognitive abilities of older adults with mild cognitive impairment. Keywords: Cognitive training, Mild cognitive impairment, Montreal Cognitive Assessment

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