A Virtual Supermarket Program for the Screening of Mild Cognitive Impairment in Older Adults: Diagnostic Accuracy Study

Yan, Mingli; Yin, Hao; Meng, Qiuyan; Wang, Shuo; Ding, Yiwen; Li, Guichen; Wang, Chunyan; Chen, Li

doi:10.2196/30919

Cited by 18 publications

(10 citation statements)

References 45 publications

(69 reference statements)

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“…Two types of tasks for yielding digital biomarkers were identified: one is active tasks that require active engagement in the evaluation, such as computerized versions of traditional cognitive tests (e.g., [ 15 , 16 ]) or online games (e.g., [ 17 , 18 , 19 ]) for assessing a broad domain of cognitive functions, voluntary speech production for assessing language ability [ 20 ], or virtual reality techniques (e.g., [ 21 , 22 ]). Another type is passive tasks in which people were monitored without active input, such sleep quality, walking speed, phone usage, and daily activities [ 13 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review

Ding

Lee

Chan

2022

JCM

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The dementia population is increasing as the world’s population is growing older. The current systematic review aims to identify digital cognitive biomarkers from computerized tests for detecting dementia and its risk state of mild cognitive impairment (MCI), and to evaluate the diagnostic performance of digital cognitive biomarkers. A literature search was performed in three databases, and supplemented by a Google search for names of previously identified computerized tests. Computerized tests were categorized into five types, including memory tests, test batteries, other single/multiple cognitive tests, handwriting/drawing tests, and daily living tasks and serious games. Results showed that 78 studies were eligible. Around 90% of the included studies were rated as high quality based on the Newcastle–Ottawa Scale (NOS). Most of the digital cognitive biomarkers achieved comparable or even better diagnostic performance than traditional paper-and-pencil tests. Moderate to large group differences were consistently observed in cognitive outcomes related to memory and executive functions, as well as some novel outcomes measured by handwriting/drawing tests, daily living tasks, and serious games. These outcomes have the potential to be sensitive digital cognitive biomarkers for MCI and dementia. Therefore, digital cognitive biomarkers can be a sensitive and promising clinical tool for detecting MCI and dementia.

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Section: Introductionmentioning

confidence: 99%

Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review

Ding

Lee

Chan

2022

JCM

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“…A total of 55 studies ( Fujiwara et al, 2010 ; Lu et al, 2011 ; Ahmed et al, 2012 ; Larner, 2012 ; Yu et al, 2012 ; Dong et al, 2013 ; Freitas et al, 2013 ; Memória et al, 2013 ; Roalf et al, 2013 ; Cummings-Vaughn et al, 2014 ; Goldstein et al, 2014 ; Kaya et al, 2014 ; Malek-Ahmadi et al, 2014 ; Yeung et al, 2014 ; Zhou et al, 2014 ; Chu et al, 2015 ; Julayanont et al, 2015 ; Ng et al, 2015 ; Trzepacz et al, 2015 ; Mellor et al, 2016 ; O’Caoimh et al, 2016 ; Tsai et al, 2016 ; Cecato et al, 2017 ; Clarnette et al, 2017 ; Janelidze et al, 2017 ; Bartos and Fayette, 2018 ; Chiu et al, 2018 ; Lee et al, 2018 ; Li et al, 2018 ; Cesar et al, 2019 ; Delgado et al, 2019 ; Rossetti et al, 2019 ; Townley et al, 2019 ; Wang et al, 2019 ; Pinto et al, 2019b ; Aycicek et al, 2020 ; Bello-Lepe et al, 2020 ; Dautzenberg et al, 2020 ; Freud et al, 2020 ; Senda et al, 2020 ; Serrano et al, 2020 ; Sokołowska et al, 2020 ; Thomann et al, 2020 ; González et al, 2021 ; Hemrungrojn et al, 2021 ; Masika et al, 2021 ; Rashedi et al, 2021 ; Rodríguez-Salgado et al, 2021 ; Yan et al, 2021 ; Pan et al, 2022 ; Paterson et al, 2022 ) were included in this meta-analysis from which 40 were used in the AUC analysis and 45 were used in the analysis of mean differences. Thirty-one of the included studies were used in both the AUC and mean difference analyses.…”

Section: Resultsmentioning

confidence: 99%

Meta-analysis of Montreal cognitive assessment diagnostic accuracy in amnestic mild cognitive impairment

Malek-Ahmadi,

Nikkhahmanesh

2024

Front. Psychol.

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BackgroundThe Montreal Cognitive Assessment (MoCA) is one of the most widely-used cognitive screening instruments and has been translated into several different languages and dialects. Although the original validation study suggested to use a cutoff of ≤26, subsequent studies have shown that lower cutoff values may yield fewer false-positive indications of cognitive impairment. The aim of this study was to summarize the diagnostic accuracy and mean difference of the MoCA when comparing cognitively unimpaired (CU) older adults to those with amnestic mild cognitive impairment (aMCI).MethodsPubMed and EMBASE databases were searched from inception to 22 February 2022. Meta-analyses for area under the curve (AUC) and standardized mean difference (SMD) values were performed.ResultsFifty-five observational studies that included 17,343 CU and 8,413 aMCI subjects were selected for inclusion. Thirty-nine studies were used in the AUC analysis while 44 were used in the SMD analysis. The overall AUC value was 0.84 (95% CI: 0.81, 0.87) indicating good diagnostic accuracy and a large effect size was noted for the SMD analysis (Hedge’s g = 1.49, 95% CI: 1.33, 1.64). Both analyses had high levels of between-study heterogeneity. The median cutoff score for identifying aMCI was <24.Discussion and conclusionThe MoCA has good diagnostic accuracy for detecting aMCI across several different languages. The findings of this meta-analysis also support the use of 24 as the optimal cutoff when the MoCA is used to screen for suspected cognitive impairment.

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“…The two significant barriers identified in the above-mentioned study by providers were cognitive issues displayed by the patient and patient’s perceptions of technology. Even though cognitive impairment can serve as a hinderance for engagement in some VR activities, VR has also acted as an assessment tool for diagnosing mild cognitive impairment [ 26 ]. Researchers have found that VR applications can be used toward improvement of cognitive impairment [ 27 , 28 ].…”

Section: Discussionmentioning

confidence: 99%

Veterans Affairs Health Care Provider Perceptions of Virtual Reality: Brief Exploratory Survey

Preston¹,

Brown²,

Padala³

et al. 2022

Interact J Med Res

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Background Virtual reality (VR), a simulated experience that can be similar to or completely different from the real world, has become increasingly useful within the psychiatric and medical fields. This VR technology has been applied in medical school trainings, exposure therapy for individuals with posttraumatic stress disorder (PTSD), and reminiscence therapy associated with mood disorders for older adults. Perceptions of VR through the lens of the health care provider require further exploration. VR has grown in popularity; however, this modality continues to be underused in most Veterans Affairs (VA) hospitals. Objective A web-based survey was used to explore health care provider perceptions of immersive VR availability and use for older adults and identify potential barriers for immersive VR use in older adults with cognitive impairment. Methods An 8-item web-based survey was developed to obtain health care provider feedback. This survey was disseminated throughout a single Veterans Integrated Services Network (VISN). The VR survey was developed via the Survey Monkey platform and distributed through the secure VA email network. Providers were asked to voluntarily participate in the brief, anonymous survey and offer their perceptions of immersive VR use within their patient population. Survey data were reviewed and interpreted using descriptive statistics. Results A total of 49 respondents completed the survey over a 15-day period. Of them, 36 respondents (73%) had heard of a VR device, though the majority (n=44, 90%) had never used or prescribed a VR device. Respondents identified several potential barriers to immersive VR use in older adults with cognitive impairment (eg, hearing difficulties, perceptions of technology, cognitive concerns, access to resources, and visual impairment). Despite the barriers identified, providers (n=48, 98%) still reported that they would feel comfortable prescribing immersive VR as an intervention for their patient population. Conclusions Survey findings revealed that health care providers within this VISN for VAs have heard of VR, although they may not have actively engaged in its use. Most of the providers reported that they would prescribe the use of an immersive VR intervention for their older adult patients. This key point highlights the desire to implement VR strategies for patient use by their providers. If underlying barriers can be addressed and relatively resolved, this technological intervention has the potential to create substantial breakthroughs in clinical care.

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A Virtual Supermarket Program for the Screening of Mild Cognitive Impairment in Older Adults: Diagnostic Accuracy Study

Cited by 18 publications

References 45 publications

Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review

Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review

Meta-analysis of Montreal cognitive assessment diagnostic accuracy in amnestic mild cognitive impairment

Veterans Affairs Health Care Provider Perceptions of Virtual Reality: Brief Exploratory Survey

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