Development of a digital multidomain lifestyle intervention for mild cognitive impairment: A pilot study on the feasibility and efficacy of cognitive training

Background The heterogeneous etiology of mild cognitive impairment (MCI) presents significant challenges in monitoring its progression and impeding its advancement toward dementia. Digital multidomain lifestyle interventions have shown promise as potential solutions for their ability to treat MCI.Objective This study is the first phase in a series of evaluations aimed at assessing various components of Silvia-Rx, which was originally designed as a digital multidomain lifestyle intervention. Specifically, this study focused on a 60-session core cognitive training program to evaluate its feasibility and efficacy in addressing cognitive decline in individuals with MCI.Methods Individuals aged 60 to 80 years diagnosed with MCI were enrolled to participate in a 60-session tablet-based cognitive regimen of Silvia-Rx. Feasibility was assessed through adherence and retention rates, while the Alzheimer's Disease Assessment Scale-Cognitive (ADAS-cog) scale was utilized to measure cognitive function as the primary indicator of efficacy.Results The mean age of the participants was 71.11 years, and 13 (68.42%) were women. Only one withdrawal occurred, resulting in a 95% retention rate (19 participants) post-intervention. The completion rate was excellent at 100%, indicating that the 60-session core cognitive program in Silvia-Rx was well tolerated by older participants with MCI. Regarding efficacy, there was a statistically significant improvement in cognitive function among MCI participants after the intervention, as evidenced by changes in total ADAS-cog scores.Conclusions Results demonstrated excellent adherence throughout the program and significant cognitive improvements after the intervention. This pilot study indicates that Silvia-Rx's digital cognitive program is feasible for people diagnosed with MCI, suggests potential for improving cognitive function, though further research with large sample size is needed to confirm these results.