A mobile interactive cognitive self-assessment scale for screening cognitive impairment due to Alzheimer's disease.
Background A mobile cognition scale for community screening in cognitive impairment with rigorous validation is in paucity. We aimed to develop a digital scale that overcame low education for community screening for mild cognitive impairment (MCI) due to Alzheimer's disease (AD) and AD. Methods A mo...
| Published in: | Age & Ageing Vol. 54; no. 1; pp. 1 - 9 |
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| Main Authors: | , , , , , , , , , , , , , , , , , |
| Format: | Article |
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Oxford University Press / USA
Jan2025
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=182798738&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 182798738 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00020729 AGA jtl: Age & Ageing issn: 00020729 maglogo: N pubinfo: dt: Jan2025 vid: 54 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 182798738 10.1093/ageing/afae293 ppf: 1 ppct: 8 formats: tig: atl: A mobile interactive cognitive self-assessment scale for screening cognitive impairment due to Alzheimer's disease. aug: au: Xie, Kexin Huang, Juan Chen, Ting Li, Dan Xia, Tianxinyu Chu, Min Cui, Yue Tang, Mei Peng, Dantao Wang, Jingtong Liu, Jianling Chen, Xiaojuan Cui, Weiwei Liu, Li Wang, Yingtao Liu, Jianbing Li, Fang Wu, Liyong affil: Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China Department of Neurology, FuXing Hospital, Capital Medical University, Beijing, China Institute for Smart Ageing, Beijing Academy of Science and Technology, Beijing, China Department of Geriatric Medicine, Beijing Friendship Hospital Affiliated to Capital Medical University, Beijing, China Department of Neurology, China-Japan Friendship Hospital, Ministry of Health, Beijing, China Department of Gerontology, Peking University People's Hospital, Beijing, China Home Care Center for Senior People, Beijing Yangfangdian Hospital, Beijing, China Beijing Active Ageing and Smart Service Technology Co. Ltd., Beijing, China National Clinical Research Center for Geriatric Diseases, Beijing, China su: Self-evaluation Executive function Memory Cognition Psychosocial factors Alzheimer's disease diagnosis Cognition disorders diagnosis Mobile apps Predictive tests Alzheimer's disease Research funding Research methodology evaluation Research evaluation Cognition disorders Neuropsychological tests Statistical reliability Delphi method Dementia Sensitivity & specificity (Statistics) sug: subj: Self-evaluation Executive function Memory Cognition Psychosocial factors Alzheimer's disease diagnosis Cognition disorders diagnosis Mobile apps Predictive tests Alzheimer's disease Research funding Research methodology evaluation Research evaluation Cognition disorders Neuropsychological tests Statistical reliability Delphi method Dementia Sensitivity & specificity (Statistics) keyword: alzheimer's disease assessment scales cognitive impairment community construct validity criterion validity dementia diagnosis diagnostic accuracy memory minimal cognitive impairment mobile cognitive assessment scale older people reliability screening measure self assessment validation alzheimer's disease assessment scales cognitive impairment community construct validity criterion validity dementia diagnosis diagnostic accuracy memory minimal cognitive impairment mobile cognitive assessment scale older people reliability screening measure self assessment validation ab: Background A mobile cognition scale for community screening in cognitive impairment with rigorous validation is in paucity. We aimed to develop a digital scale that overcame low education for community screening for mild cognitive impairment (MCI) due to Alzheimer's disease (AD) and AD. Methods A mobile cognitive self-assessment scale (CogSAS) was designed through the Delphi process, which is feasible for the older population with low education. In Phase 1, 518 clinically diagnosed participants were subjected to optimise the items. In Phase 2, the scale was validated in 358 participants with cognitively unimpaired and 396 participants of clinically diagnosed MCI and dementia for reliability, validity and diagnostic accuracy. In Phase 3, specificity and sensitivity were tested for biologically diagnosed participants of 38 with cognitively unimpaired and 45 with MCI and dementia due to AD according to the amyloid, tau, neurodegeneration classification system. Results The CogSAS was a three-task mobile scale testing memory and executive function. In Phase 2, the internal consistency was 0.81, and the test–retest reliability was 0.82. The construct validity was 0.74, and the criterion validity was 0.77. The sensitivity and specificity for discriminating clinically diagnosed participants with MCI and dementia from cognitively unimpaired were 0.90 and 0.67, respectively. For discriminating biologically diagnosed MCI and dementia due to AD from cognitively unimpaired, the sensitivity and specificity were 1.00 and 0.78, respectively. Conclusions The CogSAS has good reliability, validity and feasibility, showing a high sensitivity and specificity both in the community and the clinic, identifying biologically diagnosed MCI and dementia due to AD. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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