ObjectivesThe objectives were to (1) systematically review the literature on the implementation of eHealth interventions for informal caregivers of people with dementia, and (2) identify determinants of successful implementation.MethodsOnline databases were searched for articles about eHealth interventions for informal caregivers of people with dementia, providing information on their implementation. Articles were independently screened and inductively analyzed using qualitative analysis. The analysis was mapped onto the Consolidated Framework for Implementation Research (CFIR; Damschroder et al., 2009).Findings46 articles containing 204 statements on implementation were included. The statements on implementation were grouped into four categories: Determinants associated with the eHealth application, informal caregiver, implementing organization, or wider context. Mapping of the determinants on the CFIR revealed that studies have focused mostly on characteristics of the intervention and informal caregiver. Limited attention has been paid to organizational determinants and the wider context.ConclusionsDespite prolific effectiveness and efficacy research on eHealth interventions for caregivers of people with dementia, there is a critical dearth of implementation research. Furthermore, there is a mismatch between eHealth intervention research and implementation frameworks, especially concerning organizational factors and wider context. This review underscores the importance of future implementation research in bridging the gap between research and practice.

ObjectivePosterior cortical atrophy (PCA) is a neurodegenerative syndrome characterised by progressive impairment in visuospatial and perceptual function. Recent findings show that memory functioning can also be compromised early in the course of disease. In this study, we investigated the neural basis of memory impairment in PCA, and hypothesised that correlations would be observed with parietal cortex rather than classic medial temporal memory structures.MethodsEighteen PCA patients, 15 typical Alzheimer's disease (tAD) patients and 21 healthy controls underwent memory testing with the Rey Auditory Verbal Learning Test (RAVLT) word list and MRI. Voxel-based morphometry (VBM) was used to identify regions in the parietal and medial temporal lobes that correlated with memory performance.ResultsCompared with controls, PCA patients were impaired at learning, immediate and delayed recall and recognition of the RAVLT. Learning rate and immediate recall was significantly better in PCA compared to tAD, whereas there was no difference in delayed recall. Recognition memory also was not statistically different between patient groups, but PCA patients made significantly more false positive errors than tAD patients. VBM analysis in the PCA patients revealed a significant correlation between total learning and grey matter density in the right supramarginal gyrus, right angular gyrus and left postcentral gyrus. The left post central gyrus also significantly correlated with immediate and delayed recall and with recognition memory. No correlations were detected in the medial temporal lobe.ConclusionsThe findings provide novel evidence that early verbal memory impairment is frequently observed in PCA, and is associated with damage to lateral parietal structures. The results have implications for the diagnosis and management of PCA.

Objectives: Everyday technologies (ETs) can be challenging to use, particularly for older adults with cognitive impairments. This study evaluated the relationship between the self-perceived ability to use ET and observable performance of self-chosen and familiar, but challenging ETs in people with mild cognitive impairment (MCI) or dementia. Method: A self-perceived report, the Everyday Technology Use Questionnaire (S-ETUQ), and a structured observational tool, the Management of Everyday Technology Assessment (META), assessing the perceived and observed ability to use ET, were used in 41 people with MCI and 38 people with dementia. Correlations were investigated with non-parametric statistical tests. Results: In the dementia group, self-perceived report and observational scores correlated on a significant medium level (R s ¼0.44, p ¼ 0.006). In the MCI group, no significant correlation was found. Conclusion: The findings of this study suggest the ability of older adults with cognitive impairments to use ETs can be depicted with self-perceived reports as well as with observations. However, the combination of both approaches is recommended to get a comprehensive picture. While the S-ETUQ provides a broad picture of the use, presence and relevance of technologies in an individual's life, the META describes a specific human-technology interaction in detail. Furthermore, the results suggest people with early dementia retain the ability and insight to accurately reflect on their own ability to use ET, emphasizing the need to include their experiences in research and clinical work.

ObjectiveSelf-monitoring is crucial to raise awareness for own behaviors and emotions, and thus facilitate self-management. The composition of self-monitoring within interventions, however, varies and guidelines are currently unavailable. This review aimed to provide a comprehensive overview of technology-based self-monitoring interventions that intend to improve health in middle-aged and older adults (>45 years).MethodsFive online databases were systematically searched and articles were independently screened. A narrative synthesis of 26 studies with 21 unique interventions was conducted. Primary focus lay on the composition of self-monitoring within interventions, including technology used, health-aspects monitored, and type of feedback provided. Secondly, the usability of/adherence to the self-monitoring treatment, intervention effects, and their sustainability were examined.FindingsStudies concentrated on middle-aged adults (mean of 51 years). Mobile technologies seem necessary to ensure flexible self-monitoring in everyday life. Social health aspects were rarely monitored. Mechanisms and the sustainability of intervention effect are understudied.ConclusionDigital self-monitoring technologies hold promise for future trials as they seem suitable to understand and support health-related self-management. Key elements including automatic and personal feedback following the blended care principle were highlighted and may guide study designs. Prospectively, research is especially needed to study sustained self-monitoring to support disease prevention and lasting lifestyle changes.

Objectives: Caring for a person with dementia can be challenging over the years. To support family carers throughout their entire caregiving career, interventions with a sustained effectivity are needed. A novel 6-week mobile health (mHealth) intervention using the experience sampling method (ESM) showed positive effects on carers' well-being over a period of 2 months after the intervention. In this study, the effects after 6 months of the selfsame intervention were examined to evaluate the sustainability of positive intervention effects. Method: The 6-week mHealth intervention consisted of an experimental group (ESM self-monitoring and personalized feedback), a pseudo-experimental group (ESM self-monitoring without feedback), and a control group (providing regular care without ESM self-monitoring or feedback). Carers' sense of competence, mastery, and psychological complaints (depression, anxiety and perceived stress) were evaluated pre-and post-intervention as well as at two follow-up time points. The present study focuses on the 6-month follow-up data (n ¼ 50). Results: Positive intervention effects on sense of competence, perceived stress, and depressive symptoms were not sustained over 6-month follow-up. Conclusion: The benefits of this mHealth intervention for carers of people living with dementia were not sustained over a long time. Similarly, other psychosocial interventions for carers of people with dementia rarely reported long-lasting effects. In order to sustainably contribute to carers' well-being, researchers and clinicians should continuously ensure flexible adjustment of the intervention and consider additional features such as ad-hoc counseling options and booster sessions. In this regard, mHealth interventions can offer ideally suited and unique opportunities.