Usability of an at-home tablet-based cognitive test in older adults with and without cognitive impairment
Abstract Background Mobile device-based cognitive screening has the potential to overcome the limitations in diagnostic precision and efficiency that characterize conventional pen and paper cognitive screening. Several mobile device-based cognitive testing platforms have demonstrated usability, but the usability of take-home mobile device-based cognitive screening in typical adult primary care patients requires further investigation. Methods This study set out to test the usability of a prototype mobile device-based cognitive screening test in older adult primary care patients across a range of cognitive performance. Participants completed the St. Louis University Mental Status Examination (SLUMS) and then used a study-supplied mobile device application at home for 5 days. The application presented 7 modules lasting approximately 15 min. Participants completed the System Usability Scale (SUS) after using the application. Results A total of 51 individuals participated, with a median (IQR) age of 81 (74–85) years. Cognitive impairment (SLUMS score < 27) was present in 30 (59%) of participants. The mean (95% Confidence Interval [CI]) SUS score was 76 (71–81), which indicates good usability. Usability scores were similar across ranges of cognitive impairment. A Lower SLUMS score predicted early withdrawal from the study with an area under the receiver operating characteristic curve (95% CI) of 0.78 (0.58–0.97). Conclusion Take-home mobile device-based cognitive testing is a usable strategy for many older adult primary care patients. Depending on patient preferences and abilities, it could be part of a flexible cognitive testing and follow-up strategy that includes mobile device-based testing in healthcare settings and pen-and-paper cognitive testing.
Authors
- Day Baez (ORCID: https://orcid.org/0009-0005-3997-5926)
- R. Williams (ORCID: https://orcid.org/0009-0000-3766-4298)
- Igor Vishnepolskiy (ORCID: https://orcid.org/0009-0001-3623-324X)
- Lisbeth Sanders (ORCID: https://orcid.org/0009-0006-7794-4247)
- Stefan Gravenstein (ORCID: https://orcid.org/0000-0001-6000-6859)
- Thomas A. Bayer (ORCID: https://orcid.org/0000-0003-1616-0714)
- Yanchen Liu (ORCID: https://orcid.org/0009-0006-4471-1420)
- J. W. Sanders (ORCID: https://orcid.org/0009-0001-8742-7124)
- Anthony Serpico
Institutions
- Maryville College (US)
- Brown University (US)
- Rhode Island Hospital (US)
- Providence VA Medical Center (US)
Publication Details
- Journal
- BMC Digital Health
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1186/s44247-024-00123-7
- Citations
- 4
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 1.54
Funders
- National Institute on Aging