2016
DOI: 10.1080/13803395.2016.1186155
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Regular cognitive self-monitoring in community-dwelling older adults using an internet-based tool

Abstract: Internet-based self-monitoring offers a potentially feasible and effective method of continuous cognitive monitoring among older adults.

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Cited by 18 publications
(14 citation statements)
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“…However, while most CBB practice effects stabilized after the third evaluation, sustained practice effects were observed for One Card Learning accuracy [7]. Additionally, another study of older adults completing CBB in an unsupervised testing environment demonstrated continued practice effects over multiple testing sessions [8]. Given this evidence of practice effects on the CBB, further research is needed to clarify the nature of these practice effects and determine whether practice effects differ across supervised and unsupervised testing environments.…”
Section: Introductionmentioning
confidence: 99%
“…However, while most CBB practice effects stabilized after the third evaluation, sustained practice effects were observed for One Card Learning accuracy [7]. Additionally, another study of older adults completing CBB in an unsupervised testing environment demonstrated continued practice effects over multiple testing sessions [8]. Given this evidence of practice effects on the CBB, further research is needed to clarify the nature of these practice effects and determine whether practice effects differ across supervised and unsupervised testing environments.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, limited attrition supports the potential utility of smartphone-based tools for longer-term monitoring. Participation ‘drop-out’ is reported in digital research spanning multiple months (Jongstra et al, 2017; Valdes, Sadeq, Bush, Morgan, & Andel, 2016), with cited reasons for withdrawing from the research including technical problems, time commitment and loss of interest in repetitive tasks (Valdes et al, 2016). Whilst study reuptake at months 6 and 12 for this initial pilot of Mezurio remains to be established, progression of strategies to sustain participant engagement is important for the quality of collected data.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, limited attrition supports the potential utility of smartphone-based tools for long-term monitoring. Participation dropout is reported in digital research spanning multiple months [17,27], with cited reasons for withdrawing from the research including technical problems, time commitment, and loss of interest in repetitive tasks [27]. Although study reuptake at months 6 and 12 for this initial pilot of Mezurio remains to be established, the progression of strategies to sustain participant engagement is important for the quality of collected data.…”
Section: Principal Findingsmentioning
confidence: 99%