Widespread cognitive test screening as part of tele-public health initiatives necessitates a test that is self-administered online and automatically scored, with no clinician effort. The feasibility of unsupervised cognitive screening is unclear. We adapted the Self-Administered Tasks Uncovering Risk of Neurodegeneration (SATURN) to make it suitable for self-administration and automatic scoring. A sample of 364 healthy older adults completed SATURN via a web browser, in a fully independent manner. SATURN’s overall score was not modulated by gender, education, reading speed, the time of day at which the test was taken, or an individual’s familiarity with technology. SATURN proved extremely portable across operating systems. Importantly, comments from participants reported satisfaction with the experience and the clarity of the instructions. SATURN represents a fast and easy screening tool that can be used for a first assessment, during a routine test or clinical evaluation, or during periodic health monitoring, in person or remotely.
ArdilaA.Ostrosky-SolisF.RosselliM.GómezC. (2000). Age-related cognitive decline during normal aging: The complex effect of education. Archives of Clinical Neuropsychology, 15(6), 495–513. https://doi.org/10.1016/S0887-6177(99)00040-2
2.
BauerK.SchwarzkopfL.GraesselE.HolleR. (2014). A claims data-based comparison of comorbidity in individuals with and without dementia. BMC Geriatrics, 14(1), 10. https://doi.org/10.1186/1471-2318-14-10
3.
BissigD.Erten-LyonsD.LutsepH.KayeJ. (2019). SATURN: An inexpensive, freely-available, and fully self-administered cognitive screening test (Version 6, p. 113728576 bytes) [Data set]. Dryadhttps://doi.org/10.5061/DRYAD.02V6WWPZR
4.
BissigD.KayeJ.Erten-LyonsD. (2020). Validation of SATURN, a free, electronic, self-administered cognitive screening test. Alzheimer’s and Dementia (New York, N. Y.), 6(1), Article e12116. https://doi.org/10.1002/trc2.12116
5.
BlatterK.CajochenC. (2007). Circadian rhythms in cognitive performance: Methodological constraints, protocols, theoretical underpinnings. Physiology and Behavior, 90(2–3), 196–208. https://doi.org/10.1016/j.physbeh.2006.09.009
6.
BrinkmanS. D.ReeseR. J.NorsworthyL. A.DellariaD. K.KinkadeJ. W.BengeJ.BrownK.RatkaA.SimpkinsJ. W. (2014). Validation of a self-administered computerized system to detect cognitive impairment in older adults. Journal of Applied Gerontology: The Official Journal of the Southern Gerontological Society, 33(8), 942–962. https://doi.org/10.1177/0733464812455099
ChanJ. Y. C.YauS. T. Y.KwokT. C. Y.TsoiK. K. F. (2021). Diagnostic performance of digital cognitive tests for the identification of MCI and dementia: A systematic review. Ageing Research Reviews, 72, 101506. https://doi.org/10.1016/j.arr.2021.101506.
9.
CharalambousA. P.PyeA.YeungW. K.LeroiI.NeilM.ThodiC.DawesP. (2020). Tools for app- and web-based self-testing of cognitive impairment: Systematic search and evaluation. Journal of Medical Internet Research, 22(1), Article e14551. https://doi.org/10.2196/14551
10.
CyrA.-A.RomeroK.Galin-CoriniL. (2021). Web-based cognitive testing of older adults in person versus at home: Within-subjects comparison study. Journal of Medical Internet Research Aging, 4(1), Article e23384. https://doi.org/10.2196/23384
11.
de VugtM. E.VerheyF. R. J. (2013). The impact of early dementia diagnosis and intervention on informal caregivers. Progress in Neurobiology, 110, 54–62. https://doi.org/10.1016/j.pneurobio.2013.04.005.
12.
García-CasalJ. A.Franco-MartínM.Perea-BartoloméM. V.Toribio-GuzmánJ. M.García-MojaC.Goñi-ImizcozM.CsipkeE. (2017). Electronic devices for cognitive impairment screening: A systematic literature review. International Journal of Technology Assessment in Health Care, 33(6), 654–673. https://doi.org/10.1017/S0266462317000800
KooB. M.VizerL. M. (2019). Mobile technology for cognitive assessment of older adults: A scoping review. Innovation in Aging, 3(1), igy038. https://doi.org/10.1093/geroni/igy038
15.
LarsonR. S. (2018). A path to better-quality mHealth apps. JMIR MHealth and UHealth, 6(7), Article e10414. https://doi.org/10.2196/10414
16.
LeeS.HuangH.ZelenM. (2004). Early detection of disease and scheduling of screening examinations. Statistical Methods in Medical Research, 13(6), 443–456. https://doi.org/10.1191/0962280204sm377ra
17.
Lee Meeuw KjoeP. R.Agelink van RentergemJ. A.VermeulenI. E.SchagenS. B. (2021). How to correct for computer experience in online cognitive testing?Assessment, 28(5), 1247–1255. https://doi.org/10.1177/1073191120911098
18.
LewisJ. R. (1995). IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use. International Journal of Human–Computer Interaction, 7(1), 57–78. https://doi.org/10.1080/10447319509526110
19.
LewisJ. R. (2002). Psychometric evaluation of the PSSUQ using data from five years of usability studies. International Journal of Human–Computer Interaction, 14(3–4), 463–488. https://doi.org/10.1080/10447318.2002.9669130
20.
LöppönenM. K.IsoahoR. E.RäihäI. J.VahlbergT. J.LoikasS. M.TakalaT. I.PuolijokiH.IrjalaK. M.KiveläS.-L. (2004). Undiagnosed diseases in patients with dementia—a potential target group for intervention. Dementia and Geriatric Cognitive Disorders, 18(3-4), 321–329. https://doi.org/10.1159/000080126
21.
LuckyD.TurnerB.HallM.LefaverS.de WerkA. (2011). Blood pressure screenings through community nursing health fairs: Motivating individuals to seek health care follow-up. Journal of Community Health Nursing, 28(3), 119–129. https://doi.org/10.1080/07370016.2011.588589
22.
NasreddineZ. S.PhillipsN. A.BédirianV.CharbonneauS.WhiteheadV.CollinI.CummingsJ. L.ChertkowH. (2005). The montreal cognitive assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.x
23.
PeerE.BrandimarteL.SamatS.AcquistiA. (2017). Beyond the Turk: Alternative platforms for crowdsourcing behavioral research. Journal of Experimental Social Psychology, 70, 153–163. https://doi.org/10.1016/j.jesp.2017.01.006.
24.
PeirceJ.GrayJ. R.SimpsonS.MacAskillM.HöchenbergerR.SogoH.KastmanE.LindeløvJ. K. (2019). PsychoPy2: Experiments in behavior made easy. Behavior Research Methods, 51(1), 195–203. https://doi.org/10.3758/s13428-018-01193-y
25.
Poblador-PlouB.Calderón-LarrañagaA.Marta-MorenoJ.Hancco-SaavedraJ.Sicras-MainarA.SoljakM.Prados-TorresA. (2014). Comorbidity of dementia: A cross-sectional study of primary care older patients. BMC Psychiatry, 14(1), 84. https://doi.org/10.1186/1471-244X-14-84
26.
RasmussenJ.LangermanH. (2019). Alzheimer’s disease – Why we need early diagnosis. Degenerative Neurological and Neuromuscular Disease, 9, 123–130. https://doi.org/10.2147/DNND.S228939.
27.
SterninA.BurnsA.OwenA. M. (2019). Thirty-five years of computerized cognitive assessment of aging—where are We now?Diagnostics, 9(3), 114. https://doi.org/10.3390/diagnostics9030114
28.
StoetG. (2010). PsyToolkit: A software package for programming psychological experiments using Linux. Behavior Research Methods, 42(4), 1096–1104. https://doi.org/10.3758/BRM.42.4.1096
29.
StoetG. (2017). PsyToolkit: A novel web-based method for running online questionnaires and reaction-time experiments. Teaching of Psychology, 44(1), 24–31. https://doi.org/10.1177/0098628316677643
30.
TagliabueC. F.VaresioG.AssecondiS.VescoviM.MazzaV. (2022). Age-related effects on online and offline learning in visuo-spatial working memory. Aging, Neuropsychology, and Cognition, 1–18. https://doi.org/10.1080/13825585.2022.2054926.
31.
TsoyE.ZygourisS.PossinK. (2021). Current state of self-administered brief computerized cognitive assessments for detection of cognitive disorders in older adults: A systematic review. The Journal of Prevention of Alzheimer’s Disease, 8(3), 267–276. https://doi.org/10.14283/jpad.2021.11
32.
VaportzisE.ClausenM. G.GowA. J. (2017). Older adults perceptions of technology and barriers to interacting with tablet computers: A focus group study. Frontiers in Psychology, 8, 1687. https://doi.org/10.3389/fpsyg.2017.01687.
33.
WellsM. R.GillM.RiceR.DimaanoF.WarburtonA.WellsM. R. (2016). Time of day and performance on cognitive tests in patients with mild dementia. Alzheimer’s and Neurodegenerative Diseases, 2(1), 1–4. https://doi.org/10.24966/AND-9608/100003
34.
WilksH.AschenbrennerA. J.GordonB. A.BalotaD. A.FaganA. M.MusiekE.Balls-BerryJ.BenzingerT. L. S.CruchagaC.MorrisJ. C.HassenstabJ. (2021). Sharper in the morning: Cognitive time of day effects revealed with high-frequency smartphone testing. Journal of Clinical and Experimental Neuropsychology, 43(8), 825–837. https://doi.org/10.1080/13803395.2021.2009447
ZygourisS.TsolakiM. (2015). Computerized cognitive testing for older adults: A review. American Journal of Alzheimer's Disease and Other Dementias, 30(1), 13–28. https://doi.org/10.1177/1533317514522852
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