Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/62485
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dc.contributor.authorWalia, Shilpa-
dc.contributor.authorKumar, Neelesh-
dc.contributor.authorKhosla, Praveen Kumar-
dc.contributor.authorGrover, Sandeep-
dc.date.accessioned2023-09-02T11:04:47Z-
dc.date.available2023-09-02T11:04:47Z-
dc.date.issued2023-09-
dc.identifier.issn0022-4456 (Print); 0975-1084 (Online)-
dc.identifier.urihttp://nopr.niscpr.res.in/handle/123456789/62485-
dc.description983-988en_US
dc.description.abstractCognitive function is one of the most fundamental psychological functions that play a significant role in person’s daily life. Impairment in cognitive function can impacts the daily functioning and overall performance of the person. A digital application could be an accessible and convenient method for the effective evaluation of cognition. The proposed Cognitive Assessment Digital Smart Tool (CADST) evaluates the Attention (ATT) and Working Memory (WM) parameters of cognition. The outcome measures of CADST were evaluated against PGI Memory Scale (PGIMS) and Montreal Cognitive Assessment (MoCA). Usability testing for the CADST tool was performed using the Post‒Study System Usability Questionnaire (PSSUQ). A total of 30 healthy participants were recruited (women = 12, men = 18; age (M ± SD) = 35.6 ± 10.63 y. o.). The feasibility study analysis revealed a significant moderate to strong correlation between the total scores of CADST and PGIMS (r = 0.75; p < 0.001) and a low to moderate correlation between the total scores of CADST and MoCA (r = 0.44; p < 0.001). Subtests of CADST and PGIMS showed strong correlation for ATT (r = 0.81; p < 0.001) and moderate correlation for WM (r = 0.51; p < 0.001). Similarly, subtests of CADST and MoCA showed moderate correlation for ATT (r = 0.63; p < 0.001) and low correlation for WM (r = 0.24; p = 1.82). CADST showed a high correlation with PGIMS for evaluating ATT and WM symptoms of cognition provide evidence of convergent validity. CADST is the first digital smart screening tool based on PGIMS for ATT and WM using web‒based technology. The overall usability ratings showed high acceptance for system usage, interface and information quality.en_US
dc.language.isoenen_US
dc.publisherNIScPR-CSIR, Indiaen_US
dc.sourceJSIR Vol.82(09) [September 2023]en_US
dc.subjectCognitionen_US
dc.subjectDigital screeningen_US
dc.subjectEvaluationen_US
dc.subjectMemoryen_US
dc.subjectMobile applicationen_US
dc.titleDesign and Implementation of Cognitive Assessment Tool for Working Memory and Attention based on PGI Memory Scaleen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.56042/jsir.v82i9.3551en_US
Appears in Collections:JSIR Vol.82(09) [September 2023]

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