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Background Mild cognitive impairment (MCI) represents a critical window for both pharmacological therapies and non-pharmacological interventions to delay cognitive decline. Objective To evaluate whether combining pharmacotherapy with multicomponent behavioral interventions enhances outcomes relative to behavioral interventions alone. Methods The sample included people with MCI (pwMCI) of any etiology who completed the HABIT Healthy Action to Benefit Independence & Thinking ® program. Baseline pharmacotherapy (acetylcholinesterase inhibitor and/or glutamate regulators) use was dichotomized (yes/no). Multivariate linear mixed-effects models examined changes from baseline in care partner-reported everyday functional skills, quality of life, self-efficacy, anxiety, depression, and HABIT compliance at post-intervention, 6 months, and 12 months, adjusting for baseline cognitive impairment severity and relevant demographic covariates. Results Among 1074 pwMCI, 413 (38.5%) were receiving pharmacotherapy at baseline. Pharmacotherapy use was more prevalent among White than non-White participants (39.4% versus 23.3%, p = 0.01). At baseline, pharmacotherapy users had more severe cognitive impairment and lower utilization of rehabilitation strategies (all p < 0.05). Both groups demonstrated significant improvements across all outcomes at post-intervention. During follow-up (mean score change compared to baseline), pharmacotherapy users showed greater increases in HABIT compliance at 6 months (3.2 versus 2.0) and 12 months (2.1 versus 1.4). In contrast, by 12 months, pharmacotherapy users experienced greater worsening of everyday functional skills related to memory (−2.1 versus −1.3) and executive function (−5.8 versus-3.7). Conclusions pwMCI undergoing pharmacotherapy entered the HABIT program with more advanced cognitive impairment. The pharmacotherapy was not associated with greater intervention-related benefit or attenuation of long-term cognitive decline.

Abstract INTRODUCTION Multicomponent non‐pharmacological interventions, such as the HABIT Healthy Action to Benefit Independence & Thinking® program, have shown promise for improving emotional well‐being, functioning, and self‐efficacy in both people with mild cognitive impairment (pwMCI) and their care partners. However, limited research has examined whether outcomes differ based on type of care partner who co‐enrolls with the pwMCI. METHODS We analyzed data from 875 pwMCI−care partner dyads who completed the HABIT program. Multivariate linear mixed‐effects regression models evaluated changes from baseline in outcomes by care partner type (spouse vs. non‐spouse) at post‐intervention, 6‐months, and 12‐ months. RESULTS At post‐intervention, pwMCI with spousal care partners demonstrated significant improvements across all outcomes from baseline, whereas those with non‐spousal partners improved in five out of seven outcomes. Across subsequent follow‐ups, pwMCI with spousal care partners showed sustained mean reductions in anxiety (post‐intervention: −2.0; 12‐month: −0.9) and increased compliance (post‐intervention: 5.7; 12‐month: 0.9). Everyday functioning in memory (post‐intervention: −0.9; 12‐months: 1.8) and executive functioning (post‐intervention: −0.7; 12‐months: 4.8) improved at post‐intervention but declined thereafter. Spousal care partners reported reduced anxiety (−1.2) and depression (−1.3) at post‐intervention, but by 12‐months they experienced increased burden, anxiety, and depression relative to baseline. Non‐spousal pwMCI–care partner dyads did not show significant change at 6 or 12‐months. DISCUSSION The HABIT intervention may have more favorable outcomes for pwMCI and care partners in spousal compared to non‐spousal dyads. These findings highlight the potential impact of care partner characteristics on both immediate and long‐term response to behavioral interventions for MCI. Highlights At post‐intervention, people with mild cognitive impairment (pwMCI) with spousal care partners showed significant improvements across all outcomes, while those with non‐spousal partners improved in five of seven outcomes. Gains attenuated over time for both spousal and non‐spousal dyads Spousal care partners reported reduced anxiety and depression at post‐intervention, but by 12 months they experienced increased burden, anxiety, and depression relative to baseline. Non‐spousal pwMCI–care partner dyads did not show significant change at 6 or 12 months.

Abstract Background Individuals with mild cognitive impairment (MCI) experience challenges in maintaining independence in their instrumental activities of daily living (IADLs). The memory support system (MSS) is a paper‐based planner intervention to train individuals with MCI to complete personal goals and IADLs independently. As more individuals use electronic calendar systems, the MSS will need to adapt. This project aimed to develop and test an electronic prototype of the MSS (eMSS). Method Drawing on the MSS, an eMSS prototype intended for phone/tablet use was developed in Axure, allowing participants to interact with the planner and its sections (calendar, notes, to do list). The prototype was evaluated with MSS trainers and individuals with MCI and their partners using a computer or tablet over a virtual platform. Participants were asked to go through fictional ‘planning’ scenarios which were assessed using cognitive task analysis (CTA). The scenarios were designed to evaluate overall ease of use, and specifics such as navigation between pages/sections and developing schedules and task lists. During sessions, participants were encouraged to 'think aloud,' providing insight into their eMSS experience. Result To date, CTA has been conducted with 6 MSS trainers, and 2 patient/partner dyads that completed the MSS training program. Early results provide insight on strengths, challenges and opportunities to optimize the eMSS. Participants could identify and use key features (e.g., menus) and found the symbols and language consistent. However, participants didn’t notice some features (e.g., interactive arrows to navigate across dates) and requested more ‘cueing’ or ‘interactive prompts.’ Participants would prefer to see all information entered on individual pages (which is possible with the MSS) to support better situation awareness. Conclusion To respond to the everyday planning needs of individuals with MCI in a digital age, an eMSS was developed, drawing on a clinically trialed hardcopy version (MSS). Positive feedback from MSS trainers and patients with MCI and their partners suggests promise for the overall design. Improvements for the next iteration include designing cues to help users know actions have been completed or when to attend to important information, as well as providing more fulsome information on pages to support awareness of daily tasks.

Background: Mild cognitive impairment (MCI) is a precursor to dementia, with a prevalence of over 15% among community dwellers, with significant economic and social implications. Despite preserved autonomy in daily living, individuals with MCI face challenges in handling everyday technology and memory-related tasks, necessitating digital interventions, such as digital planning-based technologies to support cognitive functioning. Objective: The aim of this study is to identify and summarize available research literature on available digital planning-based technologies to support memory-related functioning in older adults with MCI. Specifically, this study seeks to (1) document the types and functions of these technologies, (2) report their effectiveness, and (3) identify gaps in the current evidence. Methods: A comprehensive literature search of four databases (Medline, Embase, APA PsycINFO, and CINAHL) was conducted in accordance with Arksey and O’Malley’s scoping review methodological framework from inception to February 6, 2024, without restrictions. Inclusion criteria focused on peer-reviewed studies involving adults aged 50 or older with diagnosed cognitive impairment, specifically using digital planning-based technologies for memory support. Results: From 1854 sources, 8 studies were included. Five categories of digital planning-based technologies were identified: (1) reminders and alarms, (2) electronic calendars, (3) digital memory notebooks, (4) digital visual mapping, and (5) smart-home integration. Several studies reported improved task performance, memory recall, and executive function, with digital memory notebooks and visual mapping software showing greatest impact on functional independence. While interventions were generally well-received, usability challenges and low adherence were common, often linked to technological familiarity and motivation. Conclusions: Digital planning-based technologies show promise in supporting memory-related functioning in older adults with MCI. While studies report positive outcomes, more research is needed to refine these tools, evaluate long-term effects, and ensure integration into daily life. Expanding the evidence base will be key to improving accessibility and effectiveness for this population.

Background/Objectives: Mild Cognitive Impairment (MCI), a condition between normal aging and dementia, is characterized by cognitive changes that do not significantly affect instrumental activities of daily living. The Memory Support System (MSS), an evidence-based behavioral intervention developed by the Mayo Clinic, has been shown to aid those living with MCI and their support partners in coping with cognitive challenges. However, the MSS has not been offered clinically within the Canadian context. Therefore, we conducted a study assessing the feasibility of the MSS from the perspectives of individuals living with MCI and their support partners. Methods: Participants from an institutional registry of research participants, patients, and support partners at a memory clinic, as well as members of a local Dementia Society, were approached to complete an online or paper version of a survey assessing feasibility dimensions. Responses were compared between and within groups for differences in mean scores and associations between linked binary choice response questions. Results: A total of 77 responses were received; 39 surveys were completed by participants with MCI, and 38 by support partners. Respondents found the MSS to be acceptable and practical. On average, participants thought it would be more difficult to train in using the MSS than support partners. Both groups expressed interest in the intervention. On average, participants with MCI and support partners preferred virtual MSS training to in-person and indicated more interest in participating in training over six weeks as compared to two weeks. Conclusions: Flexibility in duration and format when offering the MSS are important considerations when offering the intervention as part of a clinical program. Future research should evaluate cost-effectiveness (e.g., financial, staff resources, etc.) of the MSS approach if it were to be institutionalized in the Ontario healthcare system.

Background: Identifying individuals at risk for mild cognitive impairment (MCI) is of urgent clinical need. Objective: This study aimed to determine whether machine learning approaches could harness longitudinal neuropsychology measures, medical data, and APOE ɛ4 genotype to identify individuals at risk of MCI 1 to 2 years prior to diagnosis. Methods: Data from 676 individuals who participated in the ‘APOE in the Predisposition to, Protection from and Prevention of Alzheimer’s Disease’ longitudinal study (N = 66 who converted to MCI) were utilized in supervised machine learning algorithms to predict conversion to MCI. Results: A random forest algorithm predicted conversion 1–2 years prior to diagnosis with 97% accuracy (p = 0.0026). The global minima (each individual’s lowest score) of memory measures from the ‘Rey Auditory Verbal Learning Test’ and the ‘Selective Reminding Test’ were the strongest predictors. Conclusions: This study demonstrates the feasibility of using machine learning to identify individuals likely to convert from normal cognition to MCI.

AbstractBackgroundPartners of persons with mild cognitive impairment (pwMCI) show increased rates of depression and other mental health problems compared to the general population. While dyadic behavioral interventions such as cognitive rehabilitation have shown beneficial effects in reducing caregiver burden, research to date lacks consistent outcome measures and rarely focuses on distressed partners. Therefore, this study explored the longitudinal effect of the Healthy Action to Benefit Independence & Thinking® (HABIT) program on partners with relatively low initial adjustment level. We hypothesized that the HABIT program would improve partner adjustment in those who were distressed.MethodData from 322 pwMCI and partners were utilized from the HABIT IRB research registry. Among them, 240 completed HABIT while 82 served as an untreated control group. Consistent with our previous exploratory factor analysis, a composite partner adjustment score was calculated using the Center for Epidemiologic Studies Depression scale (CES‐D), the REACH Anxiety Inventory Form, and the Quality of Life scale for adults with Alzheimer’s Disease (QOL‐AD). We included partners with an adjustment score below the median of each group to focus on partners with low levels of baseline adjustment. Latent growth curve models were conducted at baseline, 3‐month, 6‐month, and 1‐year follow‐ups to investigate the trajectories of partner adjustment level.ResultIn the low adjustment subsample, no between group difference was found at baseline. An overall improvement in partner adjustment scores was observed only in the treatment group (b = 5.00, p<.001). The slope of change was larger (b = 3.75, p = .016) in the treatment group, indicating a faster improvement in adjustment level in HABIT partners with marginally lower baseline and higher follow‐up scores. This difference in the improvement rates was most evident at the 3‐month follow‐up (t(1, 94) = ‐2.63, p = .010) and gradually reduced in subsequent visits.ConclusionIn partners of those with MCI who have low levels of emotional adjustment, behavioral interventions like HABIT can be beneficial in accelerating improvement in their overall adjustment level and facilitate adaptation to their loved ones’ MCI symptoms compared to untreated controls. Techniques taught in dyadic interventions may serve as protective factors for mental health problems in primary caregivers of pwMCI.

AbstractBackgroundThe syndrome of mild cognitive impairment (MCI) is classified into different subtypes– amnestic MCI (aMCI) and non‐amnestic MCI based on cognitive domains impacted, while different underlying disease etiologies cause the impairments. The Memory Support System (MSS), a memory‐support tool which utilizes a calendar/planner, has been shown to have positive impact on daily functioning in MCI (Chandler et al., 2017). We have previously shown that cognitive impairment severity and personality traits are associated with MSS learning (De Wit et al., 2021; Khayoun et al., 2021). In this study, we hypothesized that 1) participants with single domain aMCI (SD‐aMCI) will have higher MSS learning scores than multi‐domain aMCI (MD‐aMCI), and 2) participants with suspected Alzheimer’s disease (AD) etiology will have lower MSS learning scores than other etiologies.MethodParticipants (mean age = 75.2) underwent daily MSS training between 2017 and 2021 as part of the 10‐day Mayo Clinic HABIT program. The MSS learning success score (LSS) was determined by how far participants progressed in three learning phases of increasing difficulty: Acquisition (0‐2 points), Application (3‐4 points), and Adaptation (5‐6 points; Greenway et al., 2008). Ordinal logistic regression analysis was used to predict MSS learning scores between SD‐aMCI (n = 142) versus MD‐aMCI (n = 119), and AD etiology (n = 213) versus other neurodegenerative etiologies (n = 57). Dementia Rating Scale‐2 scores (Jurica, 2001) were included to control for cognitive severity.ResultCompared to participants with SD‐aMCI, those with MD‐aMCI had 54.1% lower odds of having higher LSS at training end (p = .004), after controlling for cognitive impairment severity. AD versus other etiology’s impact on LSS was nonsignificant.ConclusionParticipants with MD‐aMCI showed poorer MSS learning efficiency than participants with SD‐aMCI. Etiology did not impact MSS learning. Results suggest having more than just memory impairment (e.g., additional language or executive dysfunction) reduces MSS learning, regardless of overall impairment level. Additional MSS training may be needed to facilitate learning for these individuals.

AbstractBackgroundEvidence suggests that select hippocampal subfields are implicated in the initial stages of Alzheimer’s disease (AD) and are selectively involved in objective memory. Less is known whether subfields are associated with informant-reported memory difficulties of individuals with a diagnosis of mild cognitive impairment (MCI).MethodData from 56 participants with a diagnosis of amnestic MCI were included in the present study. To test whether FreeSurfer derived hippocampal subfields (CA1–4, subiculum, presubiculum, and dentate gyrus) were associated with objective (learning and delayed recall) and informant-reports of memory difficulties, we used multiple linear regression analysis. Subfields were adjusted for total intracranial volume, and age, sex, and years of education were included as covariates in all models.ResultsLarger presubiculum, subiculum, and CA4/dentate gyrus volumes were associated with higher delayed recall scores, and larger subiculum and CA4/dentate gyrus volumes were associated with fewer informant-reports of memory difficulties. There were no statistically significant associations between subfields and learning scores.DiscussionFindings from the present study support the idea that difficulties with memory-dependent everyday tasks in older adults with MCI may signal a neurodegenerative process while increasing understanding of subfields correlates of these memory-specific functional difficulties. Continued investigations into identifying patterns of subfield atrophy in AD may aid early identification of those at higher risk of dementia conversion while advancing precision medicine.