Study on the Acceptability of an ICT Platform for Older Adults with Mild Cognitive Impairment

Exploring the Discontinuous Usage Behavior of Digital Cognitive Training Among Older Adults With Mild Cognitive Impairment and Their Family Members: Qualitative Study Using the Extended Model of IT Continuance

BACKGROUND

Digital cognitive training (DCT) has been found to be more effective than traditional paper-and-pencil training in enhancing overall cognitive function. However, a significant barrier to its long-term implementation is that older adults with mild cognitive impairment (MCI) do not continue to use it or even show a dropoff in usage after the initial engagement. Such short-term engagement may limit the potential benefits of DCT, as sustained use is required to achieve more pronounced cognitive improvements. Exploring the reasons for the shift in discontinuous usage behavior is crucial for promoting successful DCT implementation and maximizing its positive effects.

OBJECTIVE

This study aimed to explore the intrinsic reasons for the transition from initial acceptance to discontinuous usage behavior among older adults with MCI throughout the DCT process, by employing the extended model of IT continuance (ECM-ITC).

METHODS

We employed a qualitative research methodology and conducted 38 semistructured interviews before and after the use of DCT (3 times per week over 1 month, with each session lasting 30 minutes) with 19 older adults with MCI (aged 60 years or older) and 4 family members between January and March 2024. Thematic analysis and deductive framework analysis were used to identify the reasons for the discontinuous usage of DCT, with mapping to the ECM-ITC.

RESULTS

Most participants failed to complete the standard dosage of DCT. Data analysis revealed the reasons for the shift to discontinuous usage. Despite their need to improve cognitive function, participants found the cognitive training confusing and discovered that DCT did not align with their preferred method of training upon actual use. The disparity between their vague expectations and reality, combined with the contradiction between the "delayed gratification" of DCT and their desire for "immediate gratification," made it difficult for them to discern the usefulness of DCT. Participants also viewed DCT as an additional financial burden and tended to avoid training under family pressure. They relied on motivational measures, which further weakened their intention to continue DCT, ultimately leading to the inability to develop continuous usage behavior.

CONCLUSIONS

Continuous usage behavior differs from initial acceptance as it evolves dynamically with user experience over time. To encourage older adults with MCI to persistently engage with DCT, it is essential to not only thoroughly consider their genuine preferences and the potential disruptions DCT may bring to their lives but also bridge the gap between expectations and actual experiences. While ensuring that older adults receive appropriate external incentives and encouragement, it is equally important to foster their intrinsic motivation, thereby gradually cultivating the habit of sustained DCT usage.

CAREUP: An Integrated Care Platform with Intrinsic Capacity Monitoring and Prediction Capabilities

This paper describes CAREUP, a novel older adult healthy aging support platform based on Intrinsic Capacity (IC) monitoring. Besides standard functionalities like storing health measurement data or providing users with personalized recommendations, the platform includes novel intrinsic capacity assessment and prediction algorithms. Older adults' performance is continuously monitored in all five IC domains-locomotion, psychology, cognition, vitality, and sensory capacity-based on measurement results and answers to questionnaires gathered using the platform's mobile applications. The users are also presented with a machine learning-based prediction of how their intrinsic capacity might change over the following years. The platform's operation was successfully tested with the participation of older adults and their caregivers in three countries: Austria, Italy, and Romania.

Applicability of the decomposed theory of planned behavior for the evaluation of community-dwelling older adults' acceptance in continuous usage of robot-assisted board games for cognitive training

Background

Improving cognitive function in healthy older adults is a global concern. Cognitive training delays mental deterioration. The utilization of robots and board games for aiding older adults in cognitive training represents a prominent technological trend and is a subject of meriting investigation.

Objective

This study evaluates the acceptability and factors influencing the continuous usage intention of a robot-assisted board game (RABG) for cognitive training in community-dwelling older adults based on the decomposed theory of planned behavior (DTPB).

Methods

In this explanatory study, we developed an RABG with six educational modules. The experiences of 126 older adults recruited from northern Taiwan who completed the program were assessed using a DTPB-based questionnaire. Partial least-squares structural equation modeling was used to examine the correlations.

Results

The results demonstrate the DTPB's sufficient fitness and 79.9% explanatory power for the continuous usage intention of the RABG, confirming the effectiveness of the proposed structural model. Perceived usefulness positively affected attitude and continuous usage intention, indicating that perceived usefulness is critical in promoting older adults' continuous usage intention. The interpersonal influence was a major antecedent of subjective norms. Self-efficacy affects perceived behavioral control. Attitudes and perceived behavioral control affected users' intentions to use the RABG.

Conclusions

Our findings support the applicability of the DTPB in evaluating RABGs for cognitive training in older adults, suggesting its potential integration in future interventions.

Usability and user experience impressions of older adults with cognitive impairment and people with schizophrenia towards GRADIOR, a cognitive rehabilitation program: A cross-sectional study

OBJECTIVE

The aim of this study was to evaluate and compare the impressions of older adults with mild dementia/MCI (mild cognitive impairment) and people with schizophrenia towards the usability of GRADIOR (version 4.5) and their user experience (UX) with this computerized cognitive rehabilitation program.

METHODS

The impressions towards the usability of GRADIOR and the UX of 41 older adults with mild dementia/MCI and 41 people with schizophrenia were obtained using the User Experience Questionnaire.

RESULTS

Older adults with dementia/MCI had more positive impressions than people with schizophrenia. Both agreed that its quality was lower in Dependability.

CONCLUSION

GRADIOR meets users' needs and preferences but needs improvements to ensure they feel more in control when interacting with it. For people with schizophrenia, other aspects of usability and UX need improvement. Usability and UX evaluation allow the verification of technological acceptability and functionality, and to identifying specific improvements for each user group.

Digital healthcare for dementia and cognitive impairment: A scoping review

BACKGROUND

Cognitive disorders, such as Alzheimer's disease, are a global health problem. Digital healthcare technology is an innovative management tool for delaying the progression of dementia and mild cognitive impairment. Thanks to digital technology, the possibility of safe and effective care for patients at home and in the community is increasing, even in situations that threaten the continuity of care, such as the COVID-19 pandemic. However, it is difficult to select appropriate technology and alternatives due to the lack of comprehensive reviews on the types and characteristics of digital technology for cognitive impairment, including their effects and limitations.

OBJECTIVE

This study aims to identify the types of digital healthcare technology for dementia and mild cognitive impairment and comprehensively examine how its outcome measures were constructed in line with each technology's purpose.

METHODS

According to the Preferred Reporting Items for Systematic reviews and Meta-Analysis extension for Scoping Reviews guidelines, a literature search was conducted in August 2021 using Medline (Ovid), EMBASE, and Cochrane library. The search terms were constructed based on Population-Concept-Context mnemonic: 'dementia', 'cognitive impairment', and 'cognitive decline'; digital healthcare technology, such as big data, artificial intelligence, virtual reality, robots, applications, and so on; and the outcomes of digital technology, such as accuracy of diagnosis and physical, mental, and social health. After grasping overall research trends, the literature was classified and analysed in terms of the type of service users and technology.

RESULTS

In total, 135 articles were selected. Since 2015, an increase in literature has been observed, and various digital healthcare technologies were identified. For people with mild cognitive impairment, technology for predicting and diagnosing the onset of dementia was studied, and for people with dementia, intervention technology to prevent the deterioration of health and induce significant improvement was considered. Regarding caregivers, many studies were conducted on monitoring and daily living assistive technologies that reduce the burden of care. However, problems such as data collection, storage, safety, and the digital divide persisted at different intensities for each technology type.

CONCLUSIONS

This study revealed that appropriate technology options and considerations may differ depending on the characteristics of users. It also emphasises the role of humans in designing and managing technology to apply digital healthcare technology more effectively.

Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis

Background

Despite the great potential of eHealth, substantial costs are involved in its implementation, and it is essential to know whether these costs can be justified by its benefits. Such needs have led to an increased interest in measuring the benefits of eHealth, especially using the willingness to pay (WTP) metric as an accurate proxy for consumers’ perceived benefits of eHealth. This offered us an opportunity to systematically review and synthesize evidence from the literature to better understand WTP for eHealth and its influencing factors.

Objective

This study aimed to provide a systematic review of WTP for eHealth and its influencing factors.

Methods

This study was performed and reported as per the Cochrane Collaboration and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. PubMed, CINAHL Plus, Cochrane Library, EconLit, and PsycINFO databases were searched from their inception to April 19, 2022. We conducted random-effects meta-analyses to calculate WTP values for eHealth (at 2021 US dollar rates) and meta-regression analyses to examine the factors affecting WTP.

Results

A total of 30 articles representing 35 studies were included in the review. We found that WTP for eHealth varied across studies; when expressed as a 1-time payment, it ranged from US $0.88 to US $191.84, and when expressed as a monthly payment, it ranged from US $5.25 to US $45.64. Meta-regression analyses showed that WTP for eHealth was negatively associated with the percentages of women (β=−.76; P<.001) and positively associated with the percentages of college-educated respondents (β=.63; P<.001) and a country’s gross domestic product per capita (multiples of US $1000; β=.03; P<.001). Compared with eHealth provided through websites, people reported a lower WTP for eHealth provided through asynchronous communication (β=−1.43; P<.001) and a higher WTP for eHealth provided through medical devices (β=.66; P<.001), health apps (β=.25; P=.01), and synchronous communication (β=.58; P<.001). As for the methods used to measure WTP, single-bounded dichotomous choice (β=2.13; P<.001), double-bounded dichotomous choice (β=2.20; P<.001), and payment scale (β=1.11; P<.001) were shown to obtain higher WTP values than the open-ended format. Compared with ex ante evaluations, ex post evaluations were shown to obtain lower WTP values (β=−.37; P<.001).

Conclusions

WTP for eHealth varied significantly depending on the study population, modality used to provide eHealth, and methods used to measure it. WTP for eHealth was lower among certain population segments, suggesting that these segments may be at a disadvantage in terms of accessing and benefiting from eHealth. We also identified the modalities of eHealth that were highly valued by consumers and offered suggestions for the design of eHealth interventions. In addition, we found that different methods of measuring WTP led to significantly different WTP estimates, highlighting the need to undertake further methodological explorations of approaches to elicit WTP values.

Perceptions of Older People with Cognitive Impairment, Caregivers, and Professionals about ehcoBUTLER (Tablet Health Care Platform): A Qualitative Focus Group Study

EhcoBUTLER is a tablet platform mainly aimed at the elderly with mild cognitive impairment (MCI) to promote their well-being and health. The main objective of this study was to explore the perceptions and feedback level of the ehcoBUTLER potential users and stakeholders to improve its development. Through this exploration, the secondary objective was to contribute to the development of software/apps that promote their integral health. Focus groups were conducted (13 elderly with MCI, 13 with dementia, 12 caregivers, 11 professionals). The content and feedback level were analyzed. Participants liked the appearance of ehcoBUTLER, would like to use it, and were mainly interested in the emotional, healthy lifestyle, cognitive, and ergonomic tools. It is necessary to have prior training, more intuitive/customizable apps, low-price/free, offline/USB content, and add other activities/features. EhcoBUTLER is well-oriented to meet the needs and preferences of potential users. However, improvements in its usability, accessibility, and sustainability are needed. The participants' perspectives provided a comprehensive view to improve ehcoBUTLER, so that in the future, it can benefit the elderly to be active agents in their health; support caregivers in their role and to have a respite; and professionals to have a multi-intervention platform. The present findings can contribute to the development of tablet software/apps that promote the integral well-being of this population.

Cognitive Stimulation Program Presented Through New Technologies in a Group of People with Moderate Cognitive Impairment

BACKGROUND

Cognitive stimulation is one of the non-pharmacological therapies recommended for intervention in dementia, consisting of activities involving different cognitive domains and involving brain activation. New technologies can be very useful in this field, favoring intervention tasks.

OBJECTIVE

The objective of this work is to test the effectiveness of a cognitive stimulation intervention mediated with new technologies on a group of people with moderate dementia.

METHODS

This is a quantitative, quasi-experimental study with a control and treatment group, with three measurement times (pre, post, and follow-up months after the end of the intervention). Ninety-eight subjects with moderate dementia were randomly assigned to the treatment group (N = 50) and the control group (N = 48). The treatment group received 16 intervention sessions including attention, executive function, and memory tasks, which were presented using new technologies and the activity was conducted in a group setting. Control group remained on a waiting list. The evaluators did not know which group each subject belonged to. All participants were assessed with a battery of neuropsychological tests.

RESULTS

The results show an improvement in post-intervention outcomes in the treatment group compared to the control group on cognitive variables. No differences were found in mood depression. These results fade overtime after a few months without intervention.

CONCLUSION

This type of intervention is useful to maintain cognitive functioning using new technologies and in a group setting, which favors the intervention. The improvements of the intervention disappear at follow-up, which would indicate the need to maintain the intervention over time.

Study on the Types of Elderly Intelligent Health Management Technology and the Influencing Factors of Its Adoption

[Background]: In recent years, aging has become a global social problem. Intelligent health management technology (IHMT) provides solutions for the elderly to deal with various health risks. However, the elderly are facing many difficulties in using IHMT. Studying the application types of IHMT and the influencing factors of the elderly’s acceptance of it will help to improve the use behavior of the elderly. [Methods]: This paper summarizes the application types of IHMT, identifies the influencing factors of the elderly’s adaption of IHMT, and makes a systematic comment on the influencing factors. [Results]: We divide the different functions of IHMT for the elderly into four types: self-monitoring, medical care, remote monitoring, and health education. The influencing factors are divided into three types: individual, social, and technology. [Conclusions]: This study finds that IHMT’s application covers all aspects of the health services of the elderly. Among these applications, self-monitoring is the most used. We divided the influencing factors of the elderly’s acceptance of IHMT into three categories and nine subcategories, having 25 variables.

Access to and interest in assistive technology for home-dwelling people with dementia during the COVID-19 pandemic (PAN.DEM)

The COVID-19 restrictions affect daily living in Norway, including home-dwelling people with dementia, and researchers conducting clinical trials in dementia care. In this paper, we 1) describe the development of a pandemic cohort (PAN.DEM) incorporated in the LIVE@Home.Path, an ongoing clinical intervention trial on resource utilisation including home-dwelling people with dementia and their caregivers (N = 438 dyads), 2) describe pre-pandemic use of assistive technology and 3) explore the extent to which COVID-19 restrictions increase caregivers interest in innovation in the PAN.DEM cohort (N = 126). Our main finding is that assistive technology is available to 71% pre-pandemic; the vast majority utilise traditional stove guards and safety alarms, only a few operate sensor technology, including GPS, fall detectors or communication aids. In response to COVID-19, 17% show increased interest in technology; being less familiar with operating a telephone and having higher cognitive functioning are both associated with increased interest. We conclude that wearable and sensor technology has not yet been fully implemented among people with dementia in Norway, and few caregivers show increased interest under the restrictions. Clinicaltrials.gov (NCT0404336).

Usability and User Experience of Cognitive Intervention Technologies for Elderly People With MCI or Dementia: A Systematic Review

Introduction

Incorporating technology in cognitive interventions represents an innovation, making them more accessible, flexible, and cost-effective. This will not be feasible without adequate user-technology fit. Bearing in mind the importance of developing cognitive interventions whose technology is appropriate for elderly people with cognitive impairment, the objective of this systematic review was to find evidence about usability and user experience (UX) measurements and features of stimulation, training, and cognitive rehabilitation technologies for older adults with mild cognitive impairment (MCI) or dementia.

Method

The Medline, PubMed, Scopus, ScienceDirect, and PsycINFO databases were searched for literature published in the last 10 years (2009–2019), and three researchers independently reviewed potentially eligible studies, following specific inclusion criteria. A systematic review of the studies was conducted, presenting a qualitative synthesis of usability and UX measures with their outcomes, study characteristics and features of the cognitive intervention technologies.

Results

Ten studies were selected: five were cognitive stimulation and five were cognitive training. Most of them (60%) were computer-based programs with a serious game format. Efficiency and effectiveness were the most frequent measurements used for collecting objective usability data, showing that elderly people with cognitive impairment require more time (45%) and help (40%) but can complete tasks (60%). Regarding UX or subjective usability data, questionnaires and scales were the most used methods, reporting positive experience despite certain difficulties with the interface in five studies.

Conclusion

Measuring usability and UX in cognitive intervention technologies for older adults with MCI or dementia provides an integrated view that can contribute to their development according to the needs and characteristics of the target population. More research is required to include this population group in usability and UX studies, as well as standardized tools and consensus on the relationship of these terms to guarantee the future effectiveness of cognitive intervention technologies.

Review registration

This review was registered in the PROSPERO (CRD42020158147) International Register of Systematic Review Protocols.

A Qualitative Study of the Cognitive Rehabilitation Program GRADIOR for People with Cognitive Impairment: Outcomes of the Focus Group Methodology

In recent years, technology has been implemented in the field of interventions for older adults. GRADIOR 4.5 is a cognitive software within the wide variety of available multimedia programs that support healthcare professionals in cognitive assessment and neuropsychological rehabilitation. The study aimed to evaluate the new version of GRADIOR (v4.5) based on the experience of people with mild cognitive impairment (MCI), people with dementia (PWD), and healthcare professionals. A qualitative study using the focus group methodology was carried out involving 13 people with MCI, 13 PWD, and 11 healthcare professionals. An analysis of the content and the level of feedback was performed. The study showed that GRADIOR 4.5 might be sufficiently adapted to PWD and people with MCI. Participants were motivated to use GRADIOR 4.5, showed high acceptability of the software, and a positive attitude towards technology. However, healthcare professionals suggested significant improvements to the software. GRADIOR 4.5 appeared to be a promising intervention that, because of its positive experience and acceptability, could be systematically implemented to complement cognitive rehabilitation interventions for older adults with MCI and dementia. Finally, it is advisable to consider the suggestions gathered in this study for future developments.

Designing ICTs for Users with Mild Cognitive Impairment: A Usability Study

Background: Research has supported the cost-effectiveness of cognitive training tools enhanced by information and communication technologies (ICT) in several populations, including individuals with mild cognitive impairment (MCI) and age-related cognitive decline. The implementation of ICTs in this population, however, is sometimes challenging to their cognitive and age characteristics. Ultimately, this might compromise the effectiveness of ICT-enhanced therapies in this population. The aim of this study is to test the usability and acceptability of a Eu_ropean project prototype for elderly care, in an attempt to explore the ICT design needs of users with MCI. Methods: Participants were 28 individuals aged 58–95 years and with a diagnosis of MCI. Results: The results showed a low perception of peripheral elements and the need to place main interaction elements in the centre of the screen. The correlation between the general level of autonomy (daily life activities) and the ICT autonomy level was significant and positive. The speed of audio help had a significant impact on performance. Conclusion: The present work contributes to the literature on ICT usability needs of users with MCI. Some usability recommendations for designing interfaces for this type of user are provided in the text.