Evaluating the Accuracy of Web-Based and In-Clinic Subjective Cognitive Decline Assessments in Detecting Cognitive Impairment: Multicohort Study

Web-based ECog scores, both the full-length and short-form, were as valid as in-clinic ECog scores for identifying clinically diagnosed CI. In addition, Self-ECog12 was as effective as full-length Self-ECog to identify CI in a web-based setting, offering a cost-effective and accessible screening tool for large-scale studies. These results highlight the value of the web-based ECog as a valid tool for identifying older adults with CI in a remote clinical study, facilitating early detection and referral for comprehensive evaluations for identifying potential candidates for disease-modifying therapy.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-04-17
DOI
https://doi.org/10.2196/69689
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
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article

Evaluating the Accuracy of Web-Based and In-Clinic Subjective Cognitive Decline Assessments in Detecting Cognitive Impairment: Multicohort Study

Rachana Tank, Juliet Fockler, Diana Truran, Miriam T. Ashford et al.
Journal of Medical Internet Research
Dementia and Cognitive Impairment Research
article

Evaluating the Accuracy of Web-Based and In-Clinic Subjective Cognitive Decline Assessments in Detecting Cognitive Impairment: Multicohort Study

Rachana Tank, Juliet Fockler, Diana Truran, Miriam T. Ashford, Jae Myeong Kang, R. Scott Mackin, Derek Flenniken, Manchumad Manjavong, Joseph Eichenbaum, Anna Aaronson, Rachel L. Nosheny, Erika Cavallone, Bernard Landavazo, Michael Walter Weiner, Monica R. Camacho, Adam Diaz, Sarah Tomaszewski Farias, Melanie J. Miller
article en

Abstract

Web-based ECog scores, both the full-length and short-form, were as valid as in-clinic ECog scores for identifying clinically diagnosed CI. In addition, Self-ECog12 was as effective as full-length Self-ECog to identify CI in a web-based setting, offering a cost-effective and accessible screening tool for large-scale studies. These results highlight the value of the web-based ECog as a valid tool for identifying older adults with CI in a remote clinical study, facilitating early detection and referral for comprehensive evaluations for identifying potential candidates for disease-modifying therapy.

Journal of Medical Internet ResearchVol. 27
Gachon University (KR), San Francisco VA Medical Center (US), Khon Kaen University (TH), University of California, San Francisco (US), University of California System (US), UK Dementia Research Institute (GB), Northern California Institute for Research and Education (US), University College London (GB), University of California, Davis (US)
Openalex Percentile: Top 90%
Dementia and Cognitive Impairment Research
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