The Computerized Functional Skills Assessment and Training Program: Sensitivity to Global Cognitive Impairment, Correlations With Cognitive Abilities, and Factor Structure

Author(s):  
Philip D. Harvey ◽  
Daniela Bolivar Forero ◽  
Lauren B. Ahern ◽  
Lize Tibiriçá ◽  
Peter Kallestrup ◽  
...  
2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 992-992
Author(s):  
Tara Rose ◽  
Evelyn Teng ◽  
Chia Ying Chen ◽  
Elyse Manzo ◽  
Katherine Erickson ◽  
...  

Abstract The Modified Mini Mental State (3MS), a screening test for cognitive abilities, can be administered in approximately 10 minutes and has a score range of 0-100. Early detection of cognitive impairment is important for clinical care. An individual’s score change over time can also help assess disease progression and treatment effects. The Web of Science, an online database, reports 1,864 publications using the 3MS, including 412 in the last 5 years. Articles came from 52 countries in 7 continents, with languages in English (98.7%), French (0.5%), Spanish (0.5%), German (0.2%), Czech (0.1%), and Korean (0.1%). The fields that publish with 3MS data included Geriatrics/Gerontology, Neurosciences/Neurology, Psychiatry, Psychology, and General/Internal Medicine. One reason for the popularity of the 3MS is its detailed manual for test administering and scoring; however, to date the manual is available only in print form. Here we present an online training program. It includes detailed directions on administering and scoring, video of a 3MS administration, and post-training tests on a trainee’s competency. This training material also covers clinical benefits of cognitive screening and a comparison of the 3MS with other measures. The 3MS helps clinicians with early detection of cognitive impairment, allowing time to address its underlying and potentially reversible causes, and aids in disease management. This online training program will help ensure accuracy and reduce between-tester variability of the obtained scores in both clinical care and research studies.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 467-467
Author(s):  
Sara Czaja ◽  
Philp Harvey ◽  
Peter Kallestrup

Abstract Older adults, especially those with cognitive impairments often experience difficulty performing everyday tasks such as medication management, which threatens independence. Thus, there is an interest in developing treatment approaches for those who are experiencing or at risk for cognitive problems. Cognitive remediation training (CRT) programs have shown to be effective in improving cognitive abilities, but there is limited evidence to suggest that CRT results in everyday task performance gains. This presentation will discuss findings from a trial evaluating an innovative computer -based functional skills assessment and skills training program (CFSAT), which includes ecologically valid simulations of everyday tasks (e.g., shopping, money and medication management). The sample includes non-cognitively impaired (NC) older adults (n=50) and those with mild cognitive impairment (MCI) (n = 40), ranging in age from 60 -86 years (M= 73.10; SD = 6.06), is primarily female (90%), and ethnically diverse (69% minority). Participants were randomized into the CFSAT condition or a CFSAT + CRT condition. Performance data includes real time measures of accuracy, response time and efficiency. The findings indicate that the assessment component of the CFSAT program differentiated between the NC and MCI groups at the baseline assessment. Both NC and MCI participants demonstrated improvements in performance following training across all tasks; though the MCI participants required more training. Participants who received CFSAT + CRT training demonstrated increased efficiency in skill acquisition. The results indicate that the CFSAT program is an efficacious tool for assessing and training functional performance in both non-cognitively and cognitively impaired older adults.


2020 ◽  
Vol 27 (1) ◽  
Author(s):  
Dalia Hegazy Ali ◽  
Doha Mostafa Elserafi ◽  
Marwa Abdel Rahman Soltan ◽  
Mohamed Fikry Eissa ◽  
Hanan Ahmed Zein ◽  
...  

Abstract Background Patients with schizophrenia suffer from diffuse cognitive impairment and high prevalence of cardiovascular metabolic risks, associated with poor clinical outcomes. We aimed in this study to test the presence of cognitive impairment in a sample of patients with schizophrenia, and evaluate its possible relations to patients’ metabolic profile. We recruited forty patients diagnosed with schizophrenia and their matched controls from the inpatient departments and outpatient services from January to December 2016. Schizophrenia diagnosis was confirmed by the ICD10 criteria checklist. Symptoms profile and severity were assessed by the Positive and Negative Syndrome Scale. Cognitive profile was assessed through (1) Trail Making Test, Parts A and B and (2) Wechsler Memory Scale-Revised Visual Reproduction Test. Metabolic profile was assessed by measuring the body mass index, fasting blood glucose, and lipid profile. SPSS (V. 22.0, IBM Corp., USA, 2013) was used for data analysis. Results The patients group had a significantly higher means in the speed of processing, executive function, attention, and working memory scores on TMT-A (p = 0.0), TMT-B (p = 0.00), and WMS-R (p = 0.029) and significantly higher FBG levels (p = 0.00). Correlation studies showed that the increase in patients’ age, illness duration, treatments, number of hospitalizations, number of episodes and of ECT sessions received, symptoms severity, and deficits in cognitive function scores was associated with higher BMI and FBG. Conclusions Patients with schizophrenia have a higher prevalence of cognitive impairment and vascular risk factors than the general population. Close monitoring and early management of these risk factors can promote better cognitive abilities and overall functions.


2016 ◽  
Vol 29 (4) ◽  
pp. 473-480 ◽  
Author(s):  
Soon-Cheol Chung ◽  
Mi-Hyun Choi ◽  
Hyung-Sik Kim ◽  
Jung-Chul Lee ◽  
Sung-Jun Park ◽  
...  

2016 ◽  
Vol 36 ◽  
pp. 42-45 ◽  
Author(s):  
Achiraya Chaikham ◽  
Supawadee Putthinoi ◽  
Suchitporn Lersilp ◽  
Anuruk Bunpun ◽  
Nopasit Chakpitak

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